333 Data Science Manager jobs in Hyderabad
Data Science Manager
Hyderabad, Andhra Pradesh
GlobalData Plc
Posted 1 day ago
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
This advertiser has chosen not to accept applicants from your region.
0
Data Science Manager
Hyderabad, Andhra Pradesh
GlobalData Plc
Posted today
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
This advertiser has chosen not to accept applicants from your region.
1
Data Science Manager
Hyderabad, Andhra Pradesh
GlobalData Plc
Posted today
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
This advertiser has chosen not to accept applicants from your region.
2
Data science manager
Hyderabad, Andhra Pradesh
GlobalData Plc
Posted 4 days ago
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM)@Global Data(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM)@Global Data(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
Develop and execute our organization's vision and strategy for generative AI and LLM applications
Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
Identify high-impact business opportunities where LLMs can deliver significant value
Establish roadmaps for AI implementation hat align with broader organizational goals
Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
Oversee the design, development, and optimization of LLM-based applications
Guide the selection, customization, and fine-tuning of language models for specific use cases
Establish architecture and frameworks for integrating LLMs into existing products and services
Implement best practices for prompt engineering, context handling, and model evaluation
Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
Build and mentor a talented team of AI specialists with expertise in generative models
Create a collaborative environment that fosters innovation and knowledge sharing
Set clear objectives and performance expectations for team members
Recruit, develop, and retain top AI talent in a competitive market
Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
Partner with business leaders to translate organizational needs into AI solutions
Collaborate with product, engineering, and design teams to integrate AI capabilities
Communicate complex AI concepts effectively to various stakeholders
Work with legal and compliance teams to ensure responsible AI deployment
Drive AI literacy and adoption across the organization
Experience
10+ years of experience in artificial intelligence or machine learning
5+ years of hands-on experience with LLMs and generative AI technologies
5+ years in leadership roles managing technical teams
Proven track record of successfully implementing AI solutions in production environments
Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
Deep understanding of LLM architectures, capabilities, and limitations
Expertise in natural language processing and generative AI techniques
Proficiency in Python and modern AI frameworks (Py Torch, Tensor Flow, Hugging Face)
Experience with MLOps and AI deployment infrastructures
Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
Master's degree or Ph D in Computer Science, AI, Machine Learning, or related field
Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
Strong strategic thinking and business acumen
Excellent communication and stakeholder management abilities
Team leadership and mentoring capabilities
Problem-solving mindset and ability to drive innovation
Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
Urgent job openings for Data Science Manager-(Gen AI/LLM)@Global Data(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM)@Global Data(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
Develop and execute our organization's vision and strategy for generative AI and LLM applications
Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
Identify high-impact business opportunities where LLMs can deliver significant value
Establish roadmaps for AI implementation hat align with broader organizational goals
Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
Oversee the design, development, and optimization of LLM-based applications
Guide the selection, customization, and fine-tuning of language models for specific use cases
Establish architecture and frameworks for integrating LLMs into existing products and services
Implement best practices for prompt engineering, context handling, and model evaluation
Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
Build and mentor a talented team of AI specialists with expertise in generative models
Create a collaborative environment that fosters innovation and knowledge sharing
Set clear objectives and performance expectations for team members
Recruit, develop, and retain top AI talent in a competitive market
Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
Partner with business leaders to translate organizational needs into AI solutions
Collaborate with product, engineering, and design teams to integrate AI capabilities
Communicate complex AI concepts effectively to various stakeholders
Work with legal and compliance teams to ensure responsible AI deployment
Drive AI literacy and adoption across the organization
Experience
10+ years of experience in artificial intelligence or machine learning
5+ years of hands-on experience with LLMs and generative AI technologies
5+ years in leadership roles managing technical teams
Proven track record of successfully implementing AI solutions in production environments
Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
Deep understanding of LLM architectures, capabilities, and limitations
Expertise in natural language processing and generative AI techniques
Proficiency in Python and modern AI frameworks (Py Torch, Tensor Flow, Hugging Face)
Experience with MLOps and AI deployment infrastructures
Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
Master's degree or Ph D in Computer Science, AI, Machine Learning, or related field
Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
Strong strategic thinking and business acumen
Excellent communication and stakeholder management abilities
Team leadership and mentoring capabilities
Problem-solving mindset and ability to drive innovation
Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
This advertiser has chosen not to accept applicants from your region.
3
Data Science Manager
Hyderabad, Andhra Pradesh
GlobalData Plc
Posted 24 days ago
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
This advertiser has chosen not to accept applicants from your region.
4
Data Science Manager
Hyderabad, Andhra Pradesh
GlobalData Plc
Posted today
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
This advertiser has chosen not to accept applicants from your region.
5
Data Science Manager (Commercial)
Hyderabad, Andhra Pradesh
Amgen
Posted 2 days ago
Job Viewed
Job Description
**HOW MIGHT YOU DEFY IMAGINATION?**
If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together-researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.
**Live | What you will do**
+ Provide technical guidance and mentorship to data scientists, ensuring best practices in modeling, measurement, and reproducibility.
+ Design and build predictive models to support patient analytics, campaign measurement, and recommendation use cases such as alerts, triggers, targeting, and next-best-action.
+ Lead the design of pilots, A/B tests, and analytic frameworks to drive test-and-learn strategies.
+ Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.
+ Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.
+ Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.
+ Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.
+ Drive innovation by exploring emerging techniques (e.g., causal inference, reinforcement learning, RAG/LLMs) for commercial data science applications.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
**Basic Qualifications**
+ Master's degree in Data Science, Computer Science, Public Health, or related field.
+ 7-13 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.
+ Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.
+ Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.
+ Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).
**Preferred Qualifications**
+ Critical thinking and structured problem-solving ability to intake ambiguous business requirements and develop analytics frameworks.
+ Experience in life sciences, pharma, or regulated health analytics environments.
+ Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.
+ Understanding of patient journey analytics, including HCP targeting or patient triggers.
+ Exposure to RAG/LLM applications in data science.
+ Strong communication skills and ability to work across technical and business stakeholders.
+ Strong ownership of work with a bias towards action.
If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together-researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.
**Live | What you will do**
+ Provide technical guidance and mentorship to data scientists, ensuring best practices in modeling, measurement, and reproducibility.
+ Design and build predictive models to support patient analytics, campaign measurement, and recommendation use cases such as alerts, triggers, targeting, and next-best-action.
+ Lead the design of pilots, A/B tests, and analytic frameworks to drive test-and-learn strategies.
+ Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.
+ Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.
+ Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.
+ Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.
+ Drive innovation by exploring emerging techniques (e.g., causal inference, reinforcement learning, RAG/LLMs) for commercial data science applications.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
**Basic Qualifications**
+ Master's degree in Data Science, Computer Science, Public Health, or related field.
+ 7-13 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.
+ Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.
+ Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.
+ Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).
**Preferred Qualifications**
+ Critical thinking and structured problem-solving ability to intake ambiguous business requirements and develop analytics frameworks.
+ Experience in life sciences, pharma, or regulated health analytics environments.
+ Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.
+ Understanding of patient journey analytics, including HCP targeting or patient triggers.
+ Exposure to RAG/LLM applications in data science.
+ Strong communication skills and ability to work across technical and business stakeholders.
+ Strong ownership of work with a bias towards action.
This advertiser has chosen not to accept applicants from your region.
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6
Data Science Manager (Commercial)
Hyderabad, Andhra Pradesh
Amgen
Posted 2 days ago
Job Viewed
Job Description
**HOW MIGHT YOU DEFY IMAGINATION?**
If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together-researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.
**Live | What you will do**
+ Provide technical guidance and mentorship to data scientists, ensuring best practices in modeling, measurement, and reproducibility.
+ Design and build predictive models to support patient analytics, campaign measurement, and recommendation use cases such as alerts, triggers, targeting, and next-best-action.
+ Lead the design of pilots, A/B tests, and analytic frameworks to drive test-and-learn strategies.
+ Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.
+ Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.
+ Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.
+ Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.
+ Drive innovation by exploring emerging techniques (e.g., causal inference, reinforcement learning, RAG/LLMs) for commercial data science applications.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
**Basic Qualifications**
+ Master's degree in Data Science, Computer Science, Public Health, or related field.
+ 7-13 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.
+ Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.
+ Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.
+ Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).
**Preferred Qualifications**
+ Critical thinking and structured problem-solving ability to intake ambiguous business requirements and develop analytics frameworks.
+ Experience in life sciences, pharma, or regulated health analytics environments.
+ Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.
+ Understanding of patient journey analytics, including HCP targeting or patient triggers.
+ Exposure to RAG/LLM applications in data science.
+ Strong communication skills and ability to work across technical and business stakeholders.
+ Strong ownership of work with a bias towards action.
If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together-researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.
**Live | What you will do**
+ Provide technical guidance and mentorship to data scientists, ensuring best practices in modeling, measurement, and reproducibility.
+ Design and build predictive models to support patient analytics, campaign measurement, and recommendation use cases such as alerts, triggers, targeting, and next-best-action.
+ Lead the design of pilots, A/B tests, and analytic frameworks to drive test-and-learn strategies.
+ Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.
+ Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.
+ Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.
+ Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.
+ Drive innovation by exploring emerging techniques (e.g., causal inference, reinforcement learning, RAG/LLMs) for commercial data science applications.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
**Basic Qualifications**
+ Master's degree in Data Science, Computer Science, Public Health, or related field.
+ 7-13 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.
+ Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.
+ Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.
+ Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).
**Preferred Qualifications**
+ Critical thinking and structured problem-solving ability to intake ambiguous business requirements and develop analytics frameworks.
+ Experience in life sciences, pharma, or regulated health analytics environments.
+ Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.
+ Understanding of patient journey analytics, including HCP targeting or patient triggers.
+ Exposure to RAG/LLM applications in data science.
+ Strong communication skills and ability to work across technical and business stakeholders.
+ Strong ownership of work with a bias towards action.
This advertiser has chosen not to accept applicants from your region.
7
Data Science Manager - D&A Team, Hyderabad
Hyderabad, Andhra Pradesh
Warner Bros. Discovery
Posted 2 days ago
Job Viewed
Job Description
**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Data Science Manager- Data Analytics Team, Hyderabad**
**About Warner Bros. Discovery:**
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
**For more information, please visit** ** **.**
**Meet our team:**
The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.
**Roles & Responsibilities:**
You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery's Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will:
+ Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
+ Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting.
+ Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability.
+ Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle.
+ Define and implement best practices for the team, setting high standards for technical quality and innovation.
+ Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations.
+ Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives.
+ Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models.
+ Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities.
+ Drive observability, scalability, cost-optimization, and performance tuning for data science models and services.
+ Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.
+ Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale.
**Qualifications:**
+ 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.
+ Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).
+ Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).
+ Proficiency in programming languages such as Python or R.
+ Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.
+ Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.
+ Experience with offline experimentation and A/B testing.
+ Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.
+ Understanding of batch and streaming data processing techniques.
+ Experience of Databricks, AWS, GCP, or Azure.
+ Experience with Docker and Kubernetes.
+ Experience with CI/CD tools like GitHub Actions, Jenkins, etc.
+ Familiarity with agile practices and processes.
+ Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support.
+ BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus.
**Other Qualifications:**
+ Proven track record of leading cross-functional teams and delivering ambitious projects.
+ Passionate about technical excellence and innovation, with a hands-on approach to problem-solving.
+ Strong focus on customer needs and rapid feature iteration.
+ Strong interpersonal skills with the ability to motivate, collaborate, and influence.
+ Ability to deliver on multiple projects and meet tight deadlines.
+ Ability to effectively influence and communicate cross-functionally with all levels.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Data Science Manager- Data Analytics Team, Hyderabad**
**About Warner Bros. Discovery:**
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
**For more information, please visit** ** **.**
**Meet our team:**
The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.
**Roles & Responsibilities:**
You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery's Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will:
+ Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
+ Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting.
+ Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability.
+ Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle.
+ Define and implement best practices for the team, setting high standards for technical quality and innovation.
+ Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations.
+ Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives.
+ Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models.
+ Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities.
+ Drive observability, scalability, cost-optimization, and performance tuning for data science models and services.
+ Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.
+ Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale.
**Qualifications:**
+ 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.
+ Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).
+ Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).
+ Proficiency in programming languages such as Python or R.
+ Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.
+ Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.
+ Experience with offline experimentation and A/B testing.
+ Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.
+ Understanding of batch and streaming data processing techniques.
+ Experience of Databricks, AWS, GCP, or Azure.
+ Experience with Docker and Kubernetes.
+ Experience with CI/CD tools like GitHub Actions, Jenkins, etc.
+ Familiarity with agile practices and processes.
+ Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support.
+ BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus.
**Other Qualifications:**
+ Proven track record of leading cross-functional teams and delivering ambitious projects.
+ Passionate about technical excellence and innovation, with a hands-on approach to problem-solving.
+ Strong focus on customer needs and rapid feature iteration.
+ Strong interpersonal skills with the ability to motivate, collaborate, and influence.
+ Ability to deliver on multiple projects and meet tight deadlines.
+ Ability to effectively influence and communicate cross-functionally with all levels.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
This advertiser has chosen not to accept applicants from your region.
8