What Jobs are available for Lead Data Scientist in Mumbai?
Showing 80 Lead Data Scientist jobs in Mumbai
Lead Data Scientist
Posted 2 days ago
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Job Description
Key Responsibilities include:
- Leading the design, development, and implementation of machine learning models and statistical analyses.
- Extracting, cleaning, and transforming complex datasets from various sources.
- Identifying opportunities for data-driven product enhancements and business strategies.
- Developing and maintaining data pipelines and analytical infrastructure.
- Mentoring and guiding junior data scientists, fostering a culture of learning and innovation.
- Communicating complex findings and recommendations clearly to technical and non-technical stakeholders.
- Staying abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Collaborating with engineering and product teams to deploy models into production.
- Defining data science best practices and ensuring adherence to ethical data usage.
- Conducting exploratory data analysis to uncover trends and patterns.
The ideal candidate will have a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics, coupled with extensive practical experience. Proven expertise in machine learning algorithms, statistical modeling, and programming languages like Python or R is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. Strong leadership and communication skills are required to effectively manage a team and present findings to executive leadership. You should possess a deep understanding of data structures, algorithms, and software development best practices. A passion for solving complex problems and a strong desire to drive business impact through data are paramount. This role offers the chance to shape the data strategy of a growing organization and mentor a talented team in a remote setting. We are looking for an individual who can translate cutting-edge research into practical, real-world solutions. The ability to think critically, innovate, and deliver high-quality results independently is key. The role is based in Mumbai, Maharashtra, IN but is fully remote.
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Lead Data Scientist
Posted 2 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of complex machine learning models and algorithms to solve business challenges.
- Analyze large, complex datasets to extract meaningful insights and identify actionable patterns.
- Develop and deploy predictive models for forecasting, anomaly detection, customer segmentation, and other critical business functions.
- Collaborate closely with business stakeholders to understand their needs and translate them into data science solutions.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation.
- Oversee the entire data science project lifecycle, from data gathering and preprocessing to model validation and deployment.
- Evaluate and recommend new tools, technologies, and methodologies to enhance the data science capabilities.
- Communicate complex technical findings clearly and effectively to both technical and non-technical audiences.
- Ensure the quality, integrity, and ethical use of data in all analytical processes.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
Qualifications:
- A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 6-8 years of progressive experience in data science, with demonstrated experience leading projects and teams.
- Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their applications.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent SQL skills for data extraction and manipulation.
- Proven ability to translate business problems into data science solutions.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong leadership and communication skills, with the ability to mentor and influence others.
- Experience in a fully remote setting is advantageous.
This role offers the unique advantage of being fully remote, providing the flexibility to work from anywhere while contributing to cutting-edge projects. Our client values innovation and offers a competitive compensation package.
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Lead Data Scientist
Posted 2 days ago
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Remote Lead Data Scientist
Posted 2 days ago
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Job Description
Responsibilities include:
- Leading the design, development, and deployment of complex machine learning models and algorithms to solve business problems.
- Mentoring and guiding a team of data scientists, fostering their professional growth and ensuring high-quality output.
- Collaborating with cross-functional teams, including product management, engineering, and business stakeholders, to define data science roadmaps and project priorities.
- Identifying opportunities to apply advanced analytics and AI techniques to drive business value.
- Communicating complex findings and recommendations clearly to both technical and non-technical audiences.
- Developing and implementing best practices for data science workflows, including data preprocessing, feature engineering, model evaluation, and deployment.
- Staying at the forefront of data science research and emerging technologies.
- Conducting rigorous statistical analysis and hypothesis testing.
- Ensuring the scalability and robustness of deployed data science solutions.
- Contributing to the strategic vision and technical direction of the data science function.
A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field is required. A minimum of 7 years of hands-on experience in data science and machine learning, with at least 2 years in a leadership or mentoring role, is essential. Proficiency in programming languages such as Python or R, and deep knowledge of ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) are mandatory. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent problem-solving, communication, and interpersonal skills are critical for leading a remote team and influencing stakeholders. This is a prime opportunity to make a significant impact in the field of data science with the flexibility of a remote role.
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Lead Data Scientist - Machine Learning
Posted 2 days ago
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Job Description
- Designing, building, and deploying advanced machine learning models for tasks such as predictive analytics, recommendation systems, fraud detection, and customer segmentation.
- Conducting in-depth data exploration, feature engineering, and model evaluation.
- Collaborating with engineering teams to integrate ML models into production systems.
- Developing and maintaining robust data pipelines and infrastructure for ML workflows.
- Staying abreast of the latest advancements in machine learning and artificial intelligence.
- Communicating complex findings and model insights clearly to both technical and non-technical stakeholders.
- Mentoring and guiding junior data scientists, fostering a culture of learning and innovation.
- Identifying new opportunities to leverage data science and ML to drive business value.
- Performing A/B testing and other experimental designs to validate model performance.
- Ensuring the ethical and responsible use of data and machine learning models.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 6 years of professional experience in data science and machine learning.
- Proven expertise in various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch) and SQL.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of statistical concepts and experimental design.
- Experience with data visualization tools and techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated ability to lead projects and mentor team members.
- Strong communication and presentation skills.
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Lead Data Scientist, Machine Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Lead the development and deployment of advanced machine learning models for complex business problems.
- Design and implement data pipelines for model training, validation, and production.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for ML application.
- Develop and refine algorithms for prediction, classification, clustering, and natural language processing.
- Collaborate with engineering teams to integrate ML models into production systems and applications.
- Evaluate and benchmark the performance of ML models, ensuring scalability and efficiency.
- Mentor and guide junior data scientists and engineers, fostering a culture of innovation and best practices.
- Stay abreast of the latest research and advancements in machine learning, AI, and related fields.
- Communicate complex findings and recommendations effectively to both technical and non-technical stakeholders.
- Define metrics for measuring the success and impact of ML initiatives.
- Contribute to the strategic roadmap for data science and machine learning within the company.
- Ensure the ethical development and deployment of AI/ML systems.
- Manage and prioritize projects, ensuring timely delivery of high-quality solutions.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of hands-on experience in data science and machine learning, with at least 3 years in a lead or senior role.
- Expertise in Python and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Demonstrated experience in deploying ML models into production environments.
- Deep understanding of statistical modeling, machine learning algorithms, and deep learning architectures.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills.
- Proven ability to lead and mentor a team in a remote setting.
- Experience with cloud platforms (AWS, Azure, GCP) is highly desirable.
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Lead Data Scientist - AI/ML
Posted 2 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and algorithms for various applications.
- Collaborate with stakeholders to understand business needs and translate them into data science projects.
- Mentor and guide a team of data scientists, providing technical direction and fostering professional growth.
- Develop and manage data pipelines, ensuring data quality, integrity, and availability for model training and deployment.
- Perform exploratory data analysis, feature engineering, and statistical modeling to identify patterns and insights.
- Build, train, and evaluate predictive models using various machine learning techniques.
- Deploy models into production environments and monitor their performance, iterating as necessary.
- Stay abreast of the latest research and advancements in AI/ML and apply them to solve business problems.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical audiences.
- Contribute to the development of the company's data science strategy and roadmap.
- Ensure ethical considerations and data privacy are addressed in all data science initiatives.
- Evaluate and implement new tools and technologies to enhance data science capabilities.
- Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7+ years of experience in data science, with a significant focus on AI/ML model development and deployment.
- Proven experience leading data science projects and teams.
- Expert proficiency in Python or R, including relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms (supervised and unsupervised), deep learning, and natural language processing.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and interpersonal skills.
- Ability to work effectively in a collaborative, fast-paced environment.
- Experience with MLOps principles and tools is a plus.
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Lead Data Scientist - Machine Learning & AI
Posted 2 days ago
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Job Description
Responsibilities:
- Lead the design, development, and deployment of sophisticated machine learning models and AI solutions to solve complex business problems.
- Define the strategic roadmap for AI and machine learning initiatives, aligning with overall business objectives.
- Mentor and guide a team of data scientists, providing technical leadership, code reviews, and performance feedback.
- Collaborate with product managers, engineers, and stakeholders to identify opportunities for leveraging AI/ML.
- Conduct in-depth data analysis, feature engineering, model selection, training, and validation.
- Develop and implement best practices for MLOps, including model deployment, monitoring, and retraining.
- Stay at the forefront of AI/ML research and advancements, identifying and integrating new techniques and technologies.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Manage project timelines, resources, and deliverables for data science projects.
- Ensure the ethical and responsible development and deployment of AI systems.
- Contribute to the company's intellectual property through publications and patents where applicable.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7+ years of hands-on experience in data science and machine learning, with a significant focus on AI development.
- Demonstrated experience in leading and mentoring data science teams.
- Expertise in various ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, Pandas, NumPy).
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to influence decision-making.
- A passion for innovation and a drive to push the boundaries of AI.
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Remote Lead Data Scientist - AI/ML
Posted 2 days ago
Job Viewed
Job Description
Key responsibilities:
- Lead the design, development, and deployment of advanced machine learning models and AI algorithms for diverse research applications.
- Oversee data collection, cleaning, feature engineering, and preprocessing pipelines to ensure data quality and integrity.
- Architect and implement scalable ML systems and solutions, utilizing cloud platforms and big data technologies.
- Conduct rigorous statistical analysis and experimentation to validate model performance and drive insights.
- Mentor and guide junior data scientists, fostering a collaborative and high-performing team environment.
- Collaborate closely with cross-functional teams, including researchers, engineers, and product managers, to define project scope and objectives.
- Stay abreast of the latest advancements in AI, ML, deep learning, and related fields, and translate research into practical applications.
- Present complex findings and technical concepts clearly and effectively to both technical and non-technical audiences.
- Develop and maintain comprehensive documentation for models, algorithms, and processes.
- Identify new opportunities for leveraging AI and ML to solve challenging scientific problems.
- Contribute to the company's intellectual property through publications and presentations.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field with a specialization in AI/ML.
- Minimum of 7 years of hands-on experience in data science and machine learning, with at least 3 years in a lead or supervisory role.
- Deep understanding of ML algorithms, statistical modeling, and deep learning architectures.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and interpersonal skills, with the ability to lead and mentor teams remotely.
- Proven track record of delivering impactful AI/ML solutions.
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Remote Lead Data Scientist - Upstream Oil & Gas
Posted 2 days ago
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