W

Waste Management

Collects waste and recovers reusable resources

India Scientist III & Senior Data Scientist - Gurgaon

Applied Machine LearningUpdated on Nov 11
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field is required.
  • At least 5–8+ years of experience in data science, machine learning, or advanced analytics is required.
  • Strong programming skills in Python and/or R are required.
  • Experience with SQL and large-scale data processing is required.
  • Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost is required.
  • A strong understanding of statistics, probability, and experimental design is required.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud is required.
  • Familiarity with big data technologies such as Spark, Hadoop, or Databricks is required.

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 technical and non-technical audiences.
  • Mentor junior data scientists and provide technical leadership on data science initiatives.
  • Stay current with 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.

Desired Qualifications

  • 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 business intelligence tools such as Tableau or Power BI.
  • Experience working in Agile development environments.

About the Company

Waste Management

Collects waste and recovers reusable resources

Waste Management, branded WM, collects and treats waste for households, businesses and municipalities across the United States and Canada. Its subsidiaries run transfer stations, landfills and recycling facilities, connecting curbside pickup with final disposal and materials recovery. WM Healthcare Solutions handles regulated medical waste and secure information destruction in North America and Western Europe. Customers pay for pickup, disposal and rentals, while WM also sells recovered materials and renewable energy made from landfill gas. Its operating roots date to 1968; the present parent was incorporated in 1987 and is headquartered in Houston, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Houston, TX
Founded
1968

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