What Jobs are available for Data Science Roles in Delhi?
Showing 73 Data Science Roles jobs in Delhi
Graduate Trainee - Data Analysis
Posted 18 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement statistical models and algorithms.
- Create clear and insightful data visualizations and reports.
- Support senior analysts in interpreting data and deriving actionable insights.
- Collaborate with cross-functional teams to understand data needs and project objectives.
- Contribute to the development and maintenance of data analysis tools and frameworks.
- Stay updated with the latest advancements and best practices in data science and analytics.
- Ensure data accuracy and integrity throughout the analysis process.
- Participate in training sessions and team knowledge-sharing initiatives.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and methods.
- Proficiency in at least one programming language such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good communication skills, with the ability to explain technical concepts to non-technical audiences.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively both independently and as part of a team.
This is an exceptional entry-level opportunity for aspiring data professionals, located in our state-of-the-art facility in Delhi, Delhi, IN . If you are passionate about data and eager to build a career in analytics, we encourage you to apply.
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Senior Data Scientist - Machine Learning
Posted 11 days ago
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Job Description
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science and machine learning.
- Proficiency in Python or R, including extensive experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
- Strong understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent data visualization and communication skills.
- Proven ability to work independently and manage projects in a remote setting.
- Strong problem-solving and analytical capabilities.
- Experience with MLOps practices is a plus.
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Senior Data Scientist - Machine Learning
Posted 11 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for predictive analysis, classification, clustering, and natural language processing.
- Collaborate with cross-functional teams, including product managers, engineers, and business analysts, to identify opportunities for ML-driven solutions.
- Clean, process, and transform large datasets to prepare them for modeling.
- Evaluate and optimize model performance, ensuring accuracy, scalability, and efficiency.
- Deploy machine learning models into production environments and monitor their performance.
- Conduct exploratory data analysis to uncover insights and inform business strategy.
- Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
- Develop and maintain documentation for models, processes, and findings.
- Mentor junior data scientists and contribute to the team's technical growth.
- Present complex findings and recommendations to both technical and non-technical stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a strong focus on machine learning.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
- Solid understanding of statistical concepts and various ML algorithms (e.g., regression, SVM, random forests, neural networks).
- Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL).
- Experience in cloud platforms (AWS, Azure, GCP) for data science workloads.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts clearly.
- Proven ability to work independently and manage projects in a remote setting.
- Experience with A/B testing and experimental design is a plus.
This position is based in Delhi, Delhi, IN but is a fully remote opportunity. We offer a competitive compensation package, including stock options, and a collaborative, innovative work environment.
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Senior Data Scientist - Machine Learning
Posted 22 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms to address challenging business and research problems.
- Clean, process, and transform large, complex datasets from various sources to prepare them for analysis and model training.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights that can inform model development.
- Evaluate and optimize the performance of machine learning models using appropriate metrics and validation techniques.
- Deploy machine learning models into production environments, working closely with engineering and software development teams.
- Conduct rigorous A/B testing and experiments to validate model effectiveness and impact.
- Stay current with the latest advancements in machine learning, artificial intelligence, and data science research.
- Communicate complex technical findings and recommendations effectively to both technical and non-technical stakeholders.
- Mentor junior data scientists and contribute to the team's technical growth and knowledge sharing.
- Collaborate with cross-functional teams to define project scope, objectives, and deliverables.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience as a Data Scientist or Machine Learning Engineer.
- Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and their applications.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy) or R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
- Strong data visualization and storytelling skills.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Ability to work independently and lead complex projects in a remote setting.
- Strong communication and collaboration skills.
- Experience in areas like natural language processing (NLP), computer vision, or reinforcement learning is a plus.
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Data Scientist - Machine Learning Specialist
Posted 23 days ago
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Job Description
Responsibilities:
- Develop, train, and deploy machine learning models for prediction, classification, and clustering.
- Perform in-depth data analysis, feature selection, and engineering to improve model performance.
- Design and execute A/B tests and other experiments to evaluate model effectiveness.
- Collaborate with cross-functional teams to define project requirements and deliver data-driven insights.
- Communicate complex findings and model results to technical and non-technical stakeholders.
- Stay current with the latest advancements in machine learning and data science research.
- Contribute to the development of data pipelines and analytics infrastructure.
- Ensure the quality, integrity, and reliability of data used for analysis.
Qualifications:
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
- Proven experience in applying machine learning techniques to real-world problems.
- Strong programming skills in Python or R, with extensive use of libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Solid understanding of statistical modeling, experimental design, and data mining techniques.
- Experience with data visualization tools and techniques.
- Familiarity with SQL and NoSQL databases.
- Excellent analytical, problem-solving, and communication skills.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
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Senior Data Scientist - Machine Learning
Posted 25 days ago
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Job Description
Responsibilities:
- Design, develop, and implement machine learning models to address complex business problems, such as predictive analytics, recommendation systems, anomaly detection, and natural language processing.
- Extract, clean, and transform large, complex datasets from various sources to prepare them for analysis.
- Perform exploratory data analysis to identify patterns, trends, and insights.
- Evaluate and select appropriate algorithms and techniques for specific modeling tasks.
- Develop and deploy machine learning models into production environments.
- Monitor model performance in production and implement necessary improvements or retraining.
- Collaborate with software engineers to integrate ML models into existing products and services.
- Communicate complex technical findings and recommendations to both technical and non-technical stakeholders through clear visualizations and presentations.
- Stay current with the latest advancements in machine learning, artificial intelligence, and data science research.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Contribute to the development of data infrastructure and best practices.
- Design and conduct A/B tests to measure the impact of implemented models.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a strong focus on machine learning applications.
- Proven experience in developing and deploying machine learning models in production using languages like Python or R.
- Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, etc.
- Strong understanding of statistical modeling, probability, and hypothesis testing.
- Experience with data manipulation and querying tools, including SQL and big data technologies (e.g., Spark, Hadoop).
- Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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Machine Learning Engineer
Posted 8 days ago
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Job Description
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Senior Data Scientist - AI & Machine Learning
Posted 21 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated machine learning models for prediction, classification, clustering, and anomaly detection.
- Perform in-depth data analysis, including exploratory data analysis (EDA), data cleaning, and feature engineering.
- Develop and deploy data pipelines and workflows for machine learning model training and inference.
- Evaluate model performance using appropriate metrics and techniques, iterating to improve accuracy and efficiency.
- Collaborate with product managers, engineers, and business stakeholders to define project requirements and deliver actionable insights.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Stay current with the latest advancements in AI, machine learning, and data science methodologies.
- Mentor junior data scientists and contribute to the team's technical growth.
- Utilize cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and model deployment.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 4 years of experience as a Data Scientist, with a strong focus on AI and Machine Learning.
- Proven experience in building and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python or R, and extensive experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, experimental design, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL is required.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- This role is hybrid, requiring a combination of remote work and on-site presence in Delhi, Delhi, IN .
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Senior Data Scientist - AI & Machine Learning
Posted 23 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for various applications.
- Perform data mining, feature engineering, and data preprocessing on large and complex datasets.
- Evaluate model performance, identify areas for improvement, and optimize algorithms.
- Collaborate with engineering teams to deploy machine learning models into production environments.
- Conduct research on new AI and ML techniques and assess their potential application.
- Develop and maintain robust data pipelines and infrastructure.
- Communicate complex findings and insights effectively to both technical and non-technical stakeholders.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Stay current with the latest advancements in AI, machine learning, and related fields.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, with a strong focus on AI/ML.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, essential for a remote team environment.
- Proven ability to translate business problems into data science solutions.
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AI & Machine Learning Lead
Posted 2 days ago
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Job Description
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