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India Scientist III & Senior Data Scientist - Gurgaon

Gurgaon, Haryana, India

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What you’ll work on

Full posting
  • You will work closely with cross-functional teams to develop predictive models, optimize business processes, and drive strategic decision-making through data.

  • Design, develop, and deploy machine learning models and predictive analytics solutions.

  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.

From the employer’s posting
Job Summary We are seeking an experienced and highly analytical Senior Data Scientist to join our team. The ideal candidate will leverage advanced statistical methods, machine learning, and data-driven insights to solve complex business problems. You will work closely with cross-functional teams to develop predictive models, optimize business processes, and drive strategic decision-making through data. Key Responsibilities
Key Responsibilities Design, develop, and deploy machine learning models and predictive analytics solutions. Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Design, develop, and deploy machine learning models and predictive analytics solutions. Analyze large, complex datasets to identify trends, patterns, and actionable insights. Collaborate with product, engineering, and business stakeholders to define data-driven solutions.

What you’ll bring

All qualifications

Core experience

  • 5–8+ years of experience in data science, machine learning, or advanced analytics.
  • Experience with MLOps and model deployment.
  • Experience with SQL and large-scale data processing.
  • Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval- Augmented Generation (RAG).
  • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
Qualification wording
Bachelors. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 5–8+ years of experience in data science, machine learning, or advanced analytics.
Experience with MLOps and model deployment. Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval- Augmented Generation (RAG).
Experience with SQL and large-scale data processing.
Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
Experience with Docker, Kubernetes, and CI/CD pipelines.

Tools in this posting

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • Docker
  • Hadoop
  • Kubernetes
  • Spark
  • Tableau
  • PyTorch
  • TensorFlow
  • Google Cloud (GCP)
  • Power BI
  • Databricks
  • scikit-learn
  • Xgboost
Source — Tool mentions in context
- Bachelors. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 5–8+ years of experience in data science, machine learning, or advanced analytics. - Strong programming skills in Python and/or R. - Experience with SQL and large-scale data processing.
- Statistical Modeling - Python, R, SQL - Data Visualization
- Strong programming skills in Python and/or R. - Experience with SQL and large-scale data processing. - Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Strong understanding of statistics, probability, and experimental design. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with big data technologies such as Spark, Hadoop, or Databricks.
- Experience with MLOps and model deployment. Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval- Augmented Generation (RAG). - Experience with Docker, Kubernetes, and CI/CD pipelines. - Familiarity with BI tools such as Tableau or Power BI.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with big data technologies such as Spark, Hadoop, or Databricks. - Excellent problem-solving, communication, and stakeholder management skills.
- Experience with Docker, Kubernetes, and CI/CD pipelines. - Familiarity with BI tools such as Tableau or Power BI. - Experience working in Agile development environments.
- Experience with SQL and large-scale data processing. - Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost. - Strong understanding of statistics, probability, and experimental design.

Job description

View original posting ↗

 Job Description: 

Position: Senior Data Scientist 

Experience Required: 3 Years to 8 Years

Qualification: B. Tech / B.E. in Any Specialization, B.Sc. in Mathematics, Artificial Intelligence and Data Science, Mathematics and Computer Applications, Statistics, Science, Artificial Intelligence, IT & Data Analytics

Job Location: Gurgaon / Work from Office

Job Summary 

We are seeking an experienced and highly analytical Senior Data Scientist to join our team. The ideal candidate will leverage advanced statistical methods, machine learning, and data-driven insights to solve complex business problems. You will work closely with cross-functional teams to develop predictive models, optimize business processes, and drive strategic decision-making through data. 

Key Responsibilities 

  • Design, develop, and deploy machine learning models and predictive analytics solutions.
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights. 
  • Collaborate with product, engineering, and business stakeholders to define data-driven solutions. 
  • Build and maintain scalable data pipelines and analytical workflows. 
  • Develop and evaluate statistical models using appropriate validation techniques. 
  • Communicate technical findings and recommendations to both technical and non-technical audiences. 
  • Mentor junior data scientists and provide technical leadership on data science initiatives. 
  • Stay current with the latest advancements in machine learning, artificial intelligence, and data science. 
  • Ensure data quality, governance, and compliance with organizational standards. 
  • Support A/B testing, experimentation, and performance measurement initiatives. 

Required Qualifications 

  • Bachelors. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 5–8+ years of experience in data science, machine learning, or advanced analytics. 
  • Strong programming skills in Python and/or R. 
  • Experience with SQL and large-scale data processing. 
  • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost. 
  • Strong understanding of statistics, probability, and experimental design. 
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud. 
  • Familiarity with big data technologies such as Spark, Hadoop, or Databricks. 
  • Excellent problem-solving, communication, and stakeholder management skills. 

Preferred Qualifications / Experience

  • Experience with MLOps and model deployment. Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval- Augmented Generation (RAG). 
  • Experience with Docker, Kubernetes, and CI/CD pipelines. 
  • Familiarity with BI tools such as Tableau or Power BI. 
  • Experience working in Agile development environments. 

Key Skills 

  • Machine Learning Deep Learning 
  • Statistical Modeling 
  • Python, R, SQL 
  • Data Visualization 
  • Feature Engineering 
  • Predictive Analytics 
  • Data Engineering Concepts 
  • Cloud Computing 
  • MLOps
  • Problem Solving 
  • Leadership and Mentoring 
  • Business Communication 

Success Metrics 

  • Delivery of high-impact machine learning solutions. Improvement in model accuracy and business KPIs. 
  • Timely completion of analytics projects. 
  • Effective collaboration with cross-functional teams. 
  • Contribution to innovation and continuous improvement in data science practices. 

 

Interview Details

  • Interview Dates - 05 Oct till 08 Oct

  • No interviews on Saturday & Sunday

  • Visiting Time: 12.30 PM to 2.30 PM

  • Venue: 10th Floor, Towers E, Grand Canyon, ASF Insignia SEZ, Gwal Pahari, Gurgaon, Haryana 122003

  • Dress Code Formal attire only.

  • Contact Recruiter: Shivangi Chauhan ( Email: schauha3@wm.com /7428923172)

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Gurgaon, Haryana, India

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First seen by us
Jun 4, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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