88 Director Of Data Science jobs in Hyderabad
Associate Director- Data Science
Posted today
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Company Description
Live Connections is a search and recruitment organization that specializes in finding and placing professionals across all sectors. With over 25 years of cumulative recruitment experience, Live Connections has placed over 20,000 professionals across 350+ clients in multiple sectors and functions. The company has a global presence in 4 countries and is known for its professional, well-trained, and customer-centric team of engineers and MBA's who are relationship-driven and handle clients or candidates with a human quotient.
Position: Director
Experience: 16+ Years
Budget: 50–55 LPA
Mode: Remote
Key Responsibilities:
- Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the
mortgage industry, ensuring data quality and relevance for model training.
- Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models,
focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific
applications.Utilize techniques like RLHF to improve model alignment with human preferences
and enhance decision-making capabilities.
- Algorithm Implementation: Develop and optimize machine learning algorithms to enhance
model performance, accuracy, and efficiency. Experiment with different architectures and open-
source models to identify the best fit for project requirements.
- Collaboration: Work with domain experts to incorporate industry knowledge into model
development, ensuring outputs are relevant and actionable.
- Experimentation: Conduct experiments to validate model hypotheses, analyze results, and
iterate on model improvements.
- Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
- Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.
Required Skills:
- Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency
in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face
Transformers) for developing language models.
- Data Handling: Proficiency in handling large datasets, feature engineering, and statistical
analysis.
- Problem Solving: Strong analytical skills with the ability to solve complex problems using data- driven approaches.
- Communication: Excellent communication skills to effectively collaborate with technical teamsand non-technical stakeholders.
Preferred Qualifications:
Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a
related field.
Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing
solutions.
Ethics Awareness: Understanding of ethical considerations in AI development, including bias
detection and mitigation.
Interested candidate please drop your updated resumes at OR Contact us at
Director - Data Science (Operations)
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Job Title: Director - Data Science (Operations) India Locations: Chennai | Hyderabad | Bangalore Tiger Analytics is a global leader in AI and analytics, helping Fortune companies solve their toughest challenges. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Come work with us to provide certainty to shape a better tomorrow.We are a Great Place to Work-Certified™ (-24) and have been consistently ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. no-style="">Overview Tiger Analytics seeks a dynamic and visionary Senior Leader to lead our Data Science engagements. The ideal candidate will have extensive experience building and leading a team of high-class professionals, managing data science projects and closely engaging with clients to ensure smooth end-to-end execution. This role requires a strategic mix of oversight and hands-on involvement in project leadership, resource management, team development, and overall growth of our data science practice. Key Responsibilities Your role will include (but not be limited to) the following activities:
Associate Director - Data Science
Posted today
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Job Title: Associate Director, Data Science.Chennai | Hyderabad | BengaluruTiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our + tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. About the role As an Associate Director, you will work on a broad range of cutting-edge data analytics and machinelearning problems across a variety of industries; This role involves a combination of hands-oncontribution, customer engagement, and technical team management.On a typical day, you might● Engage with clients to understand their business context● Act as a Subject Matter Expert & lead a team of data scientists and engineers to embed AI andanalytics into the business decision processes.● Develop comprehensive end to end advanced analytics solutions for clients● Manage client expectations and delivery solutions as agreed upon.● Consultative and client first attitude to handle escalations and taking them to closure.● Directly work with Client and establish yourself as the single point of contact on technicalaspects for the client.● Meet the project team, customer stakeholders, and internal business units to devise creativeanalytical approaches to solve complex business problems● Develop and enhance algorithms and models to solve a business problem● Maintaining all models along with development and updating of code and processdocumentation● Ideate with your peers to design data science solution approaches to unstructured problems,conduct quantitative analyses, and interpret results● Interact and collaborate with multiple teams (Consulting & Engineering) and variousstakeholders to meet deadlines, to bring Analytical Solutions to life. Desired Skills and Experience ● 10+ years of relevant experience in Data Science● Strong analytical skills with proficiency in application of statistical analysis and machinelearning algorithms like Liner Regression, Logistic Regression, Random Forest, Boosting Trees,SVM, ARIMAX, LSTM, Deep Learning etc.● Ability to research and learn from the state-of-the-art in AI/ML and implement/prototypesolution● Actively involved in developing and maintaining end to end data science solutions usingrelevant programming languages (e.g. Python/R/Spark)● Experience in working on cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g.Hadoop, Snowflake)● Enjoys leading & coaching a sizeable team.● Enthuse to collaborate with various stakeholders across the organization and take completeownership of deliverables.● In depth experience in any of the following domains: Retail, CPG, Insurance, Healthcare, Banking,Finance, Manufacturing and/or been involved in solving use cases related to MarketingAnalytics, Pricing, Demand and Inventory Forecasting, Market Mix Model, Trade PromoOptimization etc. will be an added advantageWe believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.Associate Director- Data Science
Posted 9 days ago
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Job Description
Job description
Company Description
Live Connections is a search and recruitment organization that specializes in finding and placing professionals across all sectors. With over 25 years of cumulative recruitment experience, Live Connections has placed over 20,000 professionals across 350+ clients in multiple sectors and functions. The company has a global presence in 4 countries and is known for its professional, well-trained, and customer-centric team of engineers and MBA's who are relationship-driven and handle clients or candidates with a human quotient.
Position: Director
Experience: 16+ Years
Budget: 50–55 LPA
Mode: Remote
Key Responsibilities:
- Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the
mortgage industry, ensuring data quality and relevance for model training.
- Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models,
focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific
applications.Utilize techniques like RLHF to improve model alignment with human preferences
and enhance decision-making capabilities.
- Algorithm Implementation: Develop and optimize machine learning algorithms to enhance
model performance, accuracy, and efficiency. Experiment with different architectures and open-
source models to identify the best fit for project requirements.
- Collaboration: Work with domain experts to incorporate industry knowledge into model
development, ensuring outputs are relevant and actionable.
- Experimentation: Conduct experiments to validate model hypotheses, analyze results, and
iterate on model improvements.
- Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
- Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.
Required Skills:
- Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency
in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face
Transformers) for developing language models.
- Data Handling: Proficiency in handling large datasets, feature engineering, and statistical
analysis.
- Problem Solving: Strong analytical skills with the ability to solve complex problems using data- driven approaches.
- Communication: Excellent communication skills to effectively collaborate with technical teamsand non-technical stakeholders.
Preferred Qualifications:
Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a
related field.
Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing
solutions.
Ethics Awareness: Understanding of ethical considerations in AI development, including bias
detection and mitigation.
Interested candidate please drop your updated resumes at OR Contact us at
Associate Director- Data Science
Posted 9 days ago
Job Viewed
Job Description
Job description
Company Description
Live Connections is a search and recruitment organization that specializes in finding and placing professionals across all sectors. With over 25 years of cumulative recruitment experience, Live Connections has placed over 20,000 professionals across 350+ clients in multiple sectors and functions. The company has a global presence in 4 countries and is known for its professional, well-trained, and customer-centric team of engineers and MBA's who are relationship-driven and handle clients or candidates with a human quotient.
Position: Director
Experience: 16+ Years
Budget: 50–55 LPA
Mode: Remote
Key Responsibilities:
- Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the
mortgage industry, ensuring data quality and relevance for model training.
- Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models,
focusing on pre-training as well instruction tuning pre-trained LLMs for mortgage-specific
applications.Utilize techniques like RLHF to improve model alignment with human preferences
and enhance decision-making capabilities.
- Algorithm Implementation: Develop and optimize machine learning algorithms to enhance
model performance, accuracy, and efficiency. Experiment with different architectures and open-
source models to identify the best fit for project requirements.
- Collaboration: Work with domain experts to incorporate industry knowledge into model
development, ensuring outputs are relevant and actionable.
- Experimentation: Conduct experiments to validate model hypotheses, analyze results, and
iterate on model improvements.
- Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.
- Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.
Required Skills:
- Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency
in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face
Transformers) for developing language models.
- Data Handling: Proficiency in handling large datasets, feature engineering, and statistical
analysis.
- Problem Solving: Strong analytical skills with the ability to solve complex problems using data- driven approaches.
- Communication: Excellent communication skills to effectively collaborate with technical teamsand non-technical stakeholders.
Preferred Qualifications:
Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a
related field.
Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing
solutions.
Ethics Awareness: Understanding of ethical considerations in AI development, including bias
detection and mitigation.
Interested candidate please drop your updated resumes at OR Contact us at
Director - Data Science, CPG Expert
Posted today
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Job Description
Job Title: Director - CPG Data Science.Chennai | Hyderabad | BengaluruTiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our + tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. About the role If you are passionate to work on unstructured business problems that can be solved using data, we wouldlike to talk to you.uf0b7 You will work on some of the latest applications of data science to solve complex businessproblemsuf0b7 You will develop comprehensive and scalable end to end advanced analytics solutions for clientsuf0b7 You will work as part of a global team to solve problems in a computationally efficient manneruf0b7 You will apply a broad range of techniques and theories from statistics, machine learning, CV,NLP, Gen AI and business intelligence to create actionable business insightsuf0b7 You will be responsible for communicating results to technical as well as business teams andwork with them to deploy the analytics solutionsuf0b7 You will significantly contribute to the growth of Tiger as a world class analytics service provider Desired Skills and Experience uf0b7 10+ yrs experience in delivering data science solutions / servicesuf0b7 Strong analytical skills with proficiency in application of statistical analysis and machine learningalgorithmsuf0b7 Ability to research and learn from the state-of-the-art in AI/ML and implement/prototypesolutionuf0b7 Ability to engage with the client stakeholders to structure and drive discussions for unstructuredproblem or questions from the client.uf0b7 Ability to understand business problems, articulate, ideate & converge on solution approach anddevelop analytical solutions with measurable Business outcomesuf0b7 Ability to project yourself as a technical decision maker and thought leader in the data sciencespaceuf0b7 Ability to identify new opportunities and extend existing opportunity. Convert capability torevenue stream that can be offered to clients as offeringsuf0b7 Ability to work across multiple clients and projects and lead/mentor junior team membersuf0b7 Hands on development experience in relevant programming languages (Python/R/Spark) to buildand review advanced analytic modelsuf0b7 Experience in working on cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g.Hadoop, Snowflake)uf0b7 Bachelor’s degree or higher in Data Science, Data Analytics or a related quantitative field Good To Have uf0b7 In depth experience in any of the following domains: Retail, CPG, Insurance, Healthcare, Banking,Finance, Manufacturing.uf0b7 Extensive experience in solving problems related to Marketing Analytics, Pricing, Demand andInventory Forecasting, Market Mix Model, Trade Promo OptimizationBenefitsSignificant career development opportunities exist as the company grows. The position offers a uniqueopportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree ofindividual responsibility.We believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.Director/ Associate Director- Data Science (CPG/ BFS/ Retail/Insurance)
Posted today
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Job Description
Your role as a DIRECTOR/AD-DATA SCIENCE Chennai | Hyderabad | Bengaluru Provides the opportunity for you to • Work on highly complex data science problems that add significant business value to our clients. • Guide and showcase your technical leadership to a multidisciplinary team of ML engineers, Data Scientists, and Application Engineers. • Collaborate with stakeholders to define and execute the technical strategy for data, machine learning, applications, and insights. • Experience an entrepreneurial setup where individuals can shape their growth paths. • Receive mentorship from deeply knowledgeable peers and industry veterans. • Leverage your deep expertise in specific domain like Healthcare/ Pharma/ Financial Service/ Insurance/ Supply Chain/ Customer/ Marketing Analytics and help grow Tiger - support campaigns, proposals. • Champion best analytics, data science, and machine learning practices. Desired Skills and Experience uf0b7 10+ yrs experience in delivering data science solutions / servicesuf0b7 Strong analytical skills with proficiency in application of statistical analysis and machine learningalgorithmsuf0b7 Ability to research and learn from the state-of-the-art in AI/ML and implement/prototypesolutionuf0b7 Ability to engage with the client stakeholders to structure and drive discussions for unstructuredproblem or questions from the client.uf0b7 Ability to understand business problems, articulate, ideate & converge on solution approach anddevelop analytical solutions with measurable Business outcomesuf0b7 Ability to project yourself as a technical decision maker and thought leader in the data sciencespaceuf0b7 Ability to identify new opportunities and extend existing opportunity. Convert capability torevenue stream that can be offered to clients as offeringsuf0b7 Ability to work across multiple clients and projects and lead/mentor junior team membersuf0b7 Hands on development experience in relevant programming languages (Python/R/Spark) to buildand review advanced analytic modelsuf0b7 Experience in working on cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g.Hadoop, Snowflake)uf0b7 Bachelor’s degree or higher in Data Science, Data Analytics or a related quantitative fieldBenefitsSignificant career development opportunities exist as the company grows. The position offers a uniqueopportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree ofindividual responsibility.We believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.Be The First To Know
About the latest Director of data science Jobs in Hyderabad !
Data Science
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• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
Data science analyst
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Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.What You’ll DoAnalyze complex datasets to uncover trends, patterns, and actionable insights.Develop predictive models and statistical analyses to support business strategies.Collaborate with cross-functional teams to understand data needs and deliver solutions.Build dashboards and visualizations to communicate findings effectively to stakeholders.Stay ahead of data trends and implement best practices in analytics and machine learning.What We’re Looking ForBachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.Strong programming skills in Python, R, or SQL.Experience with data visualization tools (Tableau, Power BI, etc.).Solid understanding of machine learning algorithms and statistical methods.Excellent problem-solving and communication skills.A curious mindset with a passion for exploring data.Why Join Us?Opportunity to work on exciting, high-impact projects.Collaborative and supportive work environment.Resources for professional development and growth.A chance to shape the future of data-driven decision-making.