What Jobs are available for Data Science Roles in Delhi?

Showing 73 Data Science Roles jobs in Delhi

Graduate Trainee - Data Analysis

110001 Delhi, Delhi ₹30000 Monthly WhatJobs

Posted 18 days ago

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Job Description

full-time
Our client is a cutting-edge data analytics firm seeking highly motivated and intellectually curious Graduate Trainees to join their growing Data Analysis team. This role offers a unique opportunity for recent graduates to develop expertise in data mining, statistical analysis, and data visualization. You will work under the guidance of experienced data scientists and analysts, contributing to projects that drive data-informed decision-making for our diverse clientele. The ideal candidate will have a strong quantitative background, a passion for uncovering insights from data, and a solid understanding of statistical concepts. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable.

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

110001 Delhi, Delhi ₹95000 Monthly WhatJobs

Posted 11 days ago

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Job Description

full-time
Our client is seeking an accomplished Senior Data Scientist specializing in Machine Learning to join their innovative team. This role is fully remote, offering a fantastic opportunity to work on challenging projects from anywhere. You will be responsible for developing and deploying advanced machine learning models to solve complex business problems, drive insights, and create data-driven products. The ideal candidate will possess a strong theoretical foundation in machine learning algorithms, statistical modeling, and data mining, coupled with practical experience in implementing these techniques. Responsibilities include data wrangling, feature engineering, model selection, training, evaluation, and deployment. You will work with large, complex datasets, applying a variety of supervised and unsupervised learning techniques. Collaboration with engineering, product management, and other data science teams is crucial to understand business needs and translate them into data science solutions. This position requires strong programming skills in languages like Python or R, and expertise with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). You will be expected to stay current with the latest research and advancements in machine learning and artificial intelligence. Communicating complex findings and methodologies to both technical and non-technical stakeholders clearly and effectively is paramount. The successful candidate will have a proven track record of delivering impactful data science projects from conception to production. We are looking for a proactive, curious, and results-oriented individual who thrives in a fast-paced, remote environment. This role offers the chance to make a significant impact through the power of data and advanced analytics.
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

110001 Delhi, Delhi ₹150000 Monthly WhatJobs

Posted 11 days ago

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Job Description

full-time
Our client is seeking a highly skilled and innovative Senior Data Scientist with a specialization in Machine Learning to join their dynamic IT and Software team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for developing and deploying cutting-edge machine learning models to solve complex business problems, driving data-driven decision-making, and advancing our technological capabilities. This role demands a strong analytical mindset, proficiency in programming, and a deep understanding of statistical modeling and ML algorithms.

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

110001 Delhi, Delhi ₹130000 Monthly WhatJobs

Posted 22 days ago

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Job Description

full-time
Our client, a leading AI-driven innovation firm, is seeking an accomplished Senior Data Scientist with expertise in Machine Learning to join their fully remote, world-class research and development team. This role is paramount for developing and deploying sophisticated machine learning models that solve complex business problems and drive product innovation. The ideal candidate will possess a strong academic background, extensive practical experience in ML model development, and a passion for leveraging data to create impactful solutions.

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.
Qualifications:
  • 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.
This is a unique opportunity for a Senior Data Scientist to work on impactful, cutting-edge projects within a fully remote structure, contributing to the forefront of AI innovation.
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Data Scientist - Machine Learning Specialist

110001 Delhi, Delhi ₹1200000 Annually WhatJobs

Posted 23 days ago

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Job Description

full-time
Join a progressive organization as a Data Scientist specializing in Machine Learning, located in the vibrant city of Delhi . This is an exciting opportunity to work on challenging projects that leverage advanced statistical and machine learning techniques to derive actionable insights and build predictive models. You will be part of a team that is at the forefront of data-driven decision-making, contributing to innovative solutions across various business units. Your responsibilities will include data exploration, feature engineering, model development, validation, and deployment. You will work with large, complex datasets, employing a range of algorithms from supervised and unsupervised learning to deep learning. Collaboration with business analysts, software engineers, and domain experts is crucial to ensure that your models effectively address business needs and are seamlessly integrated into production systems. We are looking for individuals with a strong analytical mindset, excellent problem-solving skills, and a passion for uncovering patterns in data. Proficiency in programming languages such as Python or R, along with experience in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas), is essential. Familiarity with big data technologies (e.g., Spark, Hadoop) and database management systems (SQL, NoSQL) would be a significant advantage. The role involves a hybrid work model, offering a blend of in-office collaboration and remote flexibility, allowing for a balanced approach to your professional and personal life. If you are eager to make a significant impact with your data science expertise and thrive in a collaborative, research-oriented environment, we invite you to apply.

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

110001 Delhi, Delhi ₹160000 Annually WhatJobs

Posted 25 days ago

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Job Description

full-time
Our client is seeking a highly skilled and innovative Senior Data Scientist with expertise in Machine Learning to join their fully remote team. You will be instrumental in developing and deploying advanced analytical models that drive business insights and product innovation. This role requires a strong foundation in statistical modeling, machine learning algorithms, and data manipulation, coupled with the ability to translate complex findings into actionable business strategies. You will work with large datasets, collaborate with engineering and product teams, and contribute to cutting-edge data-driven solutions.

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.
Qualifications:
  • 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.
This is a unique opportunity to work on challenging problems and make a significant impact through data. Our client offers a highly competitive salary, excellent benefits, and the flexibility of a remote work arrangement.
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Machine Learning Engineer

Delhi, Delhi Gabeo.ai

Posted 8 days ago

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Senior Data Scientist - AI & Machine Learning

110001 Delhi, Delhi ₹100000 Monthly WhatJobs

Posted 21 days ago

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Job Description

full-time
Our client is a leading innovator in AI & Emerging Technologies seeking a highly skilled Senior Data Scientist with expertise in AI and Machine Learning to join their cutting-edge team in Delhi, Delhi, IN . This role is integral to developing and deploying advanced data-driven solutions that leverage machine learning algorithms to solve complex business problems. You will be responsible for the entire data science lifecycle, from data exploration and feature engineering to model development, validation, and deployment. The ideal candidate will possess strong statistical knowledge, programming skills, and a proven ability to deliver impactful insights.

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 .
Join a forward-thinking organization at the forefront of AI innovation and drive significant business impact through data science.
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Senior Data Scientist - AI & Machine Learning

110001 Delhi, Delhi ₹1500000 Annually WhatJobs

Posted 23 days ago

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Job Description

full-time
Our client is seeking a highly skilled and innovative Senior Data Scientist with expertise in Artificial Intelligence and Machine Learning to join their advanced technology division. This fully remote role offers the exciting opportunity to work on challenging projects that push the boundaries of AI. The Senior Data Scientist will be responsible for developing, implementing, and deploying sophisticated machine learning models and algorithms to solve complex business problems. You will collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into various platforms and products. This position requires a deep understanding of statistical modeling, machine learning techniques, programming languages, and a passion for extracting actionable insights from large datasets.

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.
Required Qualifications:
  • 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.
This is a premier opportunity for an accomplished AI/ML expert to contribute to transformative projects in a leading technology company, all while enjoying the benefits of a remote work arrangement.
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AI & Machine Learning Lead

110001 Delhi, Delhi ₹1500000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a trailblazer in AI & Emerging Technologies, is seeking an innovative and experienced AI & Machine Learning Lead to spearhead their advanced research and development initiatives. This role offers a compelling opportunity to shape the future of artificial intelligence and drive the creation of groundbreaking solutions. You will lead a team of talented data scientists and engineers, guiding the development and deployment of cutting-edge ML models and AI systems. This position requires a deep theoretical understanding of AI/ML principles and extensive practical experience in applying these concepts to solve complex real-world problems. Responsibilities include defining the AI/ML strategy, overseeing the design, development, and implementation of machine learning algorithms and models, conducting research into new AI techniques, managing data science projects from inception to deployment, and mentoring and guiding the ML team. You will also collaborate with product and engineering teams to integrate AI capabilities into existing and new products, ensure the scalability and efficiency of ML pipelines, and stay at the forefront of AI research advancements. The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a minimum of 7 years of experience in AI/ML development and leadership. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP) is essential. Strong leadership, communication, and strategic thinking skills are crucial. This is a fully remote position, so excellent self-management and virtual collaboration abilities are key. Join our client to redefine the boundaries of AI and make a significant impact in the world of emerging technologies.
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