13,057 Data Science Lead jobs in India
Data Science Lead
Posted today
Job Viewed
Job Description
Position Summary :
The Data Scientist Lead will spearhead the data science initiatives, ensuring the successful establishment and operation of data science projects. This role involves strategic leadership, hands-on technical expertise, and the ability to drive business value through data-driven insights. The ideal candidate will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to develop and implement data science solutions that align with the company's strategic goals.
Job Responsibilities :
Leadership and Strategy:
o Establish and communicate the data science vision and strategy.
o Lead and manage the data science team, fostering a collaborative and innovative environment.
o Work with senior leadership to integrate data science initiatives into the broader business strategy.
Project Management:
o Oversee the planning, execution, and delivery of data science projects.
o Ensure projects are completed on time, within scope, and deliver measurable business value.
o Collaborate with cross-functional teams to define project requirements and success criteria.
Technical Expertise:
o Develop and implement advanced machine learning, statistical, and ensemble methods to solve complex business problems.
o Perform in-depth exploratory data analysis and feature engineering.
o Create and deploy predictive models and data-driven solutions.
Data Governance and Management:
o Establish data governance policies and procedures to ensure data quality, security, and compliance.
o Work with data engineers to design and maintain robust data pipelines and infrastructure.
o Ensure the ethical use of data and AI, adhering to industry best practices and regulatory requirements.
Innovation and Research:
o Stay current with the latest advancements in AI, machine learning, and data science.
o Conduct hands-on research and case studies on emerging technologies and methodologies.
o Identify opportunities to apply innovative data science techniques to drive business growth.
Communication and Collaboration:
o Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
o Develop effective data visualizations and reports to present insights and recommendations.
o Foster strong relationships with internal and external partners to support data science initiatives.
Experience and Abilities :
Proven track record of leading and delivering successful data science projects.
Strong quantitative skills in probability, statistics, algorithms, and optimization methods.
Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with big data technologies like Apache Spark and cloud platforms such as AWS, Azure, or Google Cloud.
Proficiency in programming languages such as Python, R, and SQL.
Strong knowledge of MLOps best practices and agile software development methodologies.
Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams.
Ability to think critically and solve complex problems in a fast-paced environment.
Commitment to ethical AI practices and responsible data usage.
Education:
BS, MS, or PhD in Data Science, Computer Science, Engineering, or a related field.
Data Science Lead
Posted today
Job Viewed
Job Description
Position Summary:
The Data Scientist is tasked with enhancing interactions across user gaming experiences and systems. This involves designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. We seek individuals capable of creating exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Moreover, you'll have the opportunity to immerse yourself in cutting-edge ML technologies, tools, and processes, contributing to the advancement of our technical objectives and architectural initiatives.
As a Data Scientist, you will be responsible for the design and development of machine learning models and algorithms tailored to a variety of applications. Your tasks will involve not only the implementation but also the optimization of these models. Additionally, you'll collaborate closely with cross-functional teams to seamlessly integrate these machine learning models into production systems. It will be crucial to stay abreast of the latest advancements in machine learning and AI technologies to ensure our solutions remain cuttingedge and effective. You'll coordinate with multiple stakeholders across the globe.
Your Role Responsibilities and Duties:
Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.
Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.
Deploy machine learning models into production environments using AWS services and implement scalable and efficient solutions for real-time and batch predictions.
Required Skills and Qualifications:
Bachelors degree in computer science, Engineering, Statistics, or a related field.
7+ years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.
7+ years of Team Leading or Team Management experience is must.
Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.
Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing.
Strong machine learning, statistical and analytical skills.
What we Offer:
Bootstrapped and financially stable with high pre-money evaluation.
Above industry renumerations.
Additional compensation tied to Renewal and Pilot Project Execution.
Additional lucrative business development compensation.
Chance to work closely with industry experts driving strategy with data and analytics.
Firm building opportunities that offer stage for holistic professional development, growth, and branding.
Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning
Data Science Lead
Posted today
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Gurgaon, India.
Who we are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offerInteract with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies :
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science Lead
Posted today
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Gurgaon, India.
Who we are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offerInteract with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies :
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science Lead
Posted today
Job Viewed
Job Description
What we offer
Interact with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
What you will do
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
What you’ll bring
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies:
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science lead
Posted today
Job Viewed
Job Description
• Design and integrate data from different sources.
• Forms analytics platform components and processing components required to provide a business solution.
• Engage with business stakeholders to design and own end-to-end solutions to empower data-driven decision-making.
• Lead the design, implementation, and continuous delivery of an insights data pipeline supporting the development and operation of custom analytic products/services across the organization.
• Ensures appropriate data testing is completed and meets test plan requirements.
Data Science Lead
Posted today
Job Viewed
Job Description
What we offer
Interact with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
What you will do
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
What you’ll bring
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies:
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
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Data Science Lead,
Posted today
Job Viewed
Job Description
• Design and integrate data from different sources.
• Forms analytics platform components and processing components required to provide a business solution.
• Engage with business stakeholders to design and own end-to-end solutions to empower data-driven decision-making.
• Lead the design, implementation, and continuous delivery of an insights data pipeline supporting the development and operation of custom analytic products/services across the organization.
• Ensures appropriate data testing is completed and meets test plan requirements.
Data Science Lead
Posted today
Job Viewed
Job Description
•Experience in data processing tools such as Talend processing data formats such as CSV, XML, JSON, etc would be required.
•The ability to combine big data with traditional relational databases such as SQL Server or Oracle would be an advantage for the role.
•The ability to program in Python and an awareness of common libraries and how they are used is beneficial.
•Awareness of Tableau or equivalent visualization tools and associated concepts would be beneficial as these are used extensively by the Research Line of Business.
•Awareness of Natural Language Processing models, techniques, and concepts would be advantageous as this is a growth area for the Line of Business.
•Awareness of the Cloudera big data technology stack and an understanding of big data concepts and demonstrable experience of retrieving data, joining data, and managing data in a Hadoop database via tools such as HUE would be an asset.
•A good understanding of ETL tools used on big data platforms and demonstrable experience in creating and managing data pipelines would be essential for this role.
Candidate should have
• Experience working with ETL, Python, Hadoop, Talend.
•Prior experience working in the financial industry is highly preferred.
Data Science Lead
Posted today
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Bangalore.
Who we are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offerInteract with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies:
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.