302 Data Science Manager jobs in Hyderabad

Job Title: Manager – AI & Data Science Location: India (Remote/Hybrid) Reports To: Director – AI & Data Science / Engagement Lead

About the Role We are seeking a skilled and proactive Manager – AI & Data Science to lead day-to-day delivery, innovation, and client engagement for our AI-driven marketing measurement and optimization programs (including MMO and IMT/ MIO). The role requires a hands-on leader who can manage a high-performing team, ensure flawless execution, and contribute to ongoing enhancement of AI/ML solutions that drive value for our clients and their partners.

Key Responsibilities

• Project Leadership: Oversee delivery of AI/ML solutions, including Media Mix Optimization (MMO), Intelligent Media Targeting (IMT/MIO), and related marketing analytics initiatives.
• Client Engagement: Act as the primary point of contact for operational matters, collaborating closely with client stakeholders, media teams, and partner agencies.
• Solution Delivery: Ensure on-time, high-quality delivery of models, insights, and tools; manage model development, testing, deployment, and monitoring.
• Team Management: Lead and mentor a team of data scientists and analysts, fostering a culture of excellence, innovation, and accountability.
• Operational Excellence: Drive process improvements, documentation, and adoption of best practices across MLOps, data engineering, and analytics workflows.
• Innovation: Support the evolution of the company's AI product suite, contributing ideas and driving proof-of-concept initiatives (e.g., agentic AI, automation modules).

Required Qualifications

• Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• 8-10 years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a managerial or technical leadership role.
• Demonstrated experience delivering AI/ML solutions in marketing analytics, media measurement, or optimization domains.
• Strong proficiency in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) and data tools (e.g., SQL, Python, Spark).
• Exposure to MLOps principles, cloud platforms (e.g., Azure, GCP), and model deployment best practices.
• Excellent communication skills and ability to engage effectively with both technical and non-technical stakeholders.

Preferred Skills

• Experience with media mix modeling (MMM), attribution models, or marketing effectiveness solutions.
• Understanding of ad platforms (e.g., Google, Meta, DV360) and integration of AI insights into media planning.
• Familiarity with Generative AI / LLM applications (nice to have).
• Prior exposure to working with global clients in a complex stakeholder environment.

Why Join Us

• Opportunity to lead high-impact AI initiatives for a global industry leader.
• Work with cutting-edge tools and solutions in a highly collaborative, innovative environment.
• Grow your career through mentorship, learning, and exposure to enterprise-scale AI products.

Job Title: Manager – AI & Data Science Location: India (Remote/Hybrid) Reports To: Director – AI & Data Science / Engagement Lead

About the Role We are seeking a skilled and proactive Manager – AI & Data Science to lead day-to-day delivery, innovation, and client engagement for our AI-driven marketing measurement and optimization programs (including MMO and IMT/ MIO). The role requires a hands-on leader who can manage a high-performing team, ensure flawless execution, and contribute to ongoing enhancement of AI/ML solutions that drive value for our clients and their partners.

Key Responsibilities

• Project Leadership: Oversee delivery of AI/ML solutions, including Media Mix Optimization (MMO), Intelligent Media Targeting (IMT/MIO), and related marketing analytics initiatives.
• Client Engagement: Act as the primary point of contact for operational matters, collaborating closely with client stakeholders, media teams, and partner agencies.
• Solution Delivery: Ensure on-time, high-quality delivery of models, insights, and tools; manage model development, testing, deployment, and monitoring.
• Team Management: Lead and mentor a team of data scientists and analysts, fostering a culture of excellence, innovation, and accountability.
• Operational Excellence: Drive process improvements, documentation, and adoption of best practices across MLOps, data engineering, and analytics workflows.
• Innovation: Support the evolution of the company's AI product suite, contributing ideas and driving proof-of-concept initiatives (e.g., agentic AI, automation modules).

Required Qualifications

• Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• 8-10 years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a managerial or technical leadership role.
• Demonstrated experience delivering AI/ML solutions in marketing analytics, media measurement, or optimization domains.
• Strong proficiency in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) and data tools (e.g., SQL, Python, Spark).
• Exposure to MLOps principles, cloud platforms (e.g., Azure, GCP), and model deployment best practices.
• Excellent communication skills and ability to engage effectively with both technical and non-technical stakeholders.

Preferred Skills

• Experience with media mix modeling (MMM), attribution models, or marketing effectiveness solutions.
• Understanding of ad platforms (e.g., Google, Meta, DV360) and integration of AI insights into media planning.
• Familiarity with Generative AI / LLM applications (nice to have).
• Prior exposure to working with global clients in a complex stakeholder environment.

Why Join Us

• Opportunity to lead high-impact AI initiatives for a global industry leader.
• Work with cutting-edge tools and solutions in a highly collaborative, innovative environment.
• Grow your career through mentorship, learning, and exposure to enterprise-scale AI products.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
Do You Dream Big?
We Need You.
Job Description
Job Title: Senior Data Scientist – Marketing & Consumer Insights
Location: Bangalore
Reporting to: Senior Manager – Marketing & Consumer Insights COE

Purpose of the role

We are looking for a highly motivated and strategic Senior Data Scientist to drive the global consumer sentiment analytics platform.

This role will focus on building scalable, explainable, and accurate data science models using NLP and AI, enabling insights from social media, e-commerce platforms, and online review data across global markets.

The candidate will own the end-to-end development cycle, from experimentation and model development to deployment and integration into Power BI dashboards.

Mentoring junior data scientists, ensuring code quality, and exploring new AI techniques will also be part of the role.

Key tasks & accountabilities

Own and manage data science workflows: data ingestion, cleaning, modeling, tuning, and interpretation.

Apply and fine-tune NLP techniques for sentiment analysis, aspect extraction, multi-lingual translation and topic modeling.

Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures.

Integrate multiple datasets and data types (structured and unstructured) to improve model robustness and drive more insightful outputs.

Oversee the deployment of models into production, ensuring integration with existing ABI systems and infrastructure. Ensure that the models are accurate, scalable and aligned with project objectives.

Collaborate with functional and technical teams to translate business questions into modeling approaches.

Participate actively during the dashboard visualization phase to ensure seamless user experience and usability; revisit model code to improve accuracy and simplify where possible.

Work closely with visualization experts to ensure insights are consumable, intuitive, and decision-ready.

Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. The ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical.

Drive experimentation and optimization cycles to improve model accuracy and business relevance.

Partner with stakeholders across functions and geographies to ensure models address real-world needs.

Maintain documentation and reproducibility standards across all modeling efforts.

Mentor and support analysts and junior data scientists on best practices and solution design.

3. Qualifications, Experience, Skills

Level of educational attainment required:

Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent.

Specialization or certifications in NLP, Deep Learning, or Applied AI preferred.

Previous work experience required:

8+ years in data science with a focus on NLP and consumer analytics.

Experience working with unstructured data, especially from social media, forums, or customer reviews.

Prior exposure to end-to-end model deployment and integration with BI tools like Power BI.

Experience in Agile teams, with familiarity in Azure DevOps or similar CI/CD environments.

Proven ability to mentor and guide teams across multiple regions.

IT Skills required:

• Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace)
• Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.)
• Familiarity with cloud environments (Azure preferred)
• Knowledge of Power BI integration and data pipelines
• Technical skills required:
• NLP, Sentiment Analysis, Topic Modeling, Text Classification
• Python, SQL, Machine Learning, Model Explainability
• API integration, Power BI readiness, data engineering fundamentals
• Text preprocessing, tokenization, and vectorization
• Sentiment analysis and topic modeling fundamentals
• Efficient coding practices and code optimization
• Working with multilingual corpora and translation APIs
• Knowledge of social listening tools (e.g., Brandwatch, Talkwalker)
• Advanced Data Visualization techniques
• Experience with multilingual data sets
  

And above all of this, an undying love for beer!
We dream big to create future with more cheers.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
Do You Dream Big?
We Need You.
Job Description
Job Title: Senior Data Scientist – Marketing & Consumer Insights
Location: Bangalore
Reporting to: Senior Manager – Marketing & Consumer Insights COE

Purpose of the role

We are looking for a highly motivated and strategic Senior Data Scientist to drive the global consumer sentiment analytics platform.

This role will focus on building scalable, explainable, and accurate data science models using NLP and AI, enabling insights from social media, e-commerce platforms, and online review data across global markets.

The candidate will own the end-to-end development cycle, from experimentation and model development to deployment and integration into Power BI dashboards.

Mentoring junior data scientists, ensuring code quality, and exploring new AI techniques will also be part of the role.

Key tasks & accountabilities

Own and manage data science workflows: data ingestion, cleaning, modeling, tuning, and interpretation.

Apply and fine-tune NLP techniques for sentiment analysis, aspect extraction, multi-lingual translation and topic modeling.

Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures.

Integrate multiple datasets and data types (structured and unstructured) to improve model robustness and drive more insightful outputs.

Oversee the deployment of models into production, ensuring integration with existing ABI systems and infrastructure. Ensure that the models are accurate, scalable and aligned with project objectives.

Collaborate with functional and technical teams to translate business questions into modeling approaches.

Participate actively during the dashboard visualization phase to ensure seamless user experience and usability; revisit model code to improve accuracy and simplify where possible.

Work closely with visualization experts to ensure insights are consumable, intuitive, and decision-ready.

Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. The ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical.

Drive experimentation and optimization cycles to improve model accuracy and business relevance.

Partner with stakeholders across functions and geographies to ensure models address real-world needs.

Maintain documentation and reproducibility standards across all modeling efforts.

Mentor and support analysts and junior data scientists on best practices and solution design.

3. Qualifications, Experience, Skills

Level of educational attainment required:

Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent.

Specialization or certifications in NLP, Deep Learning, or Applied AI preferred.

Previous work experience required:

8+ years in data science with a focus on NLP and consumer analytics.

Experience working with unstructured data, especially from social media, forums, or customer reviews.

Prior exposure to end-to-end model deployment and integration with BI tools like Power BI.

Experience in Agile teams, with familiarity in Azure DevOps or similar CI/CD environments.

Proven ability to mentor and guide teams across multiple regions.

IT Skills required:

• Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace)
• Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.)
• Familiarity with cloud environments (Azure preferred)
• Knowledge of Power BI integration and data pipelines
• Technical skills required:
• NLP, Sentiment Analysis, Topic Modeling, Text Classification
• Python, SQL, Machine Learning, Model Explainability
• API integration, Power BI readiness, data engineering fundamentals
• Text preprocessing, tokenization, and vectorization
• Sentiment analysis and topic modeling fundamentals
• Efficient coding practices and code optimization
• Working with multilingual corpora and translation APIs
• Knowledge of social listening tools (e.g., Brandwatch, Talkwalker)
• Advanced Data Visualization techniques
• Experience with multilingual data sets
  

And above all of this, an undying love for beer!
We dream big to create future with more cheers.

**_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 bringing our characters to life, the bringing them to your living rooms and the 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.

JOB DETAILS

We are urgently looking for a Data Science Manager to head our growing data science team. You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance.

We’re looking for a driven, hands-on data science manager to lead, mentor, and manage contributors on the team. You should have an excellent grasp of core machine learning techniques and a product-focused mindset, as well as a track record of growing and empowering data scientists to drive business value through modeling and experimentation.

Key Responsibilities:
o Build and lead the data science team to deliver world-class products.
o Oversee the development of data science models from conducting code reviews to supporting launches while keeping the team accountable and impactful.
o Give data scientists the tools and motivation to build predictive models that lead to business impact.
o Apply data and algorithmic thinking to address business and domain problems.
o Work cross-functionally with other engineering teams and Product Management to solve problems, identify trends and opportunities.
o Lead the technical strategy of the data science team.
o Roll up your sleeves to code, build, and integrate models as necessary.

You have:
o Previous experience as manager of data scientists and machine learning engineers
o Hands-on experience with machine learning tools, techniques, and framework
o Experience with building and productizing models, and iterating and improving them over time
o Experience with advising leadership on decisions related to your field and expertise
o Ability and desire to educate the rest of the company in data science concepts and techniques
o Advanced degree in statistics, applied mathematics, computer science or equivalent
o Strong quantitative and analytical skills as well as experience strong foundational skills in Python, pandas, and SQL

Ideally, you also have:
o Solid understanding of experiment design
o Experience with natural language processing techniques
o FinTech background

Benefits, Perks, and Culture
o Everything you need to work remotely
o Work with talented and motivated people in a fast-paced mission-driven environment

FUNCTIONAL AREA
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