Waste Management, Inc. (WM)

Senior Data Scientist - Gurgaon

Waste Management, Inc. (WM) Gurgaon, Haryana, India

Environmental Services · 10,001+ employees

Yesterday
data-scientist Mid (2-5 yrs) Full-time India
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About the role

The role involves performing data cleaning, exploratory analysis, and developing statistical and machine learning models to generate actionable business insights. You will also be responsible for creating dashboards, documenting methodologies, and collaborating with cross-functional teams to support analytics initiatives.

What they look for

Python R SQL Pandas NumPy Scikit-learn Power BI Tableau Excel Data Cleaning Exploratory Data Analysis Statistical Modeling Machine Learning Feature Engineering Data Visualization Problem Solving

Requirements

Candidates must hold a bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics with 4-6 years of experience. Proficiency in Python or R, SQL, and data visualization tools like Power BI or Tableau is required.

Full description

Job description - Data Scientist

Job Title: Data Scientist

Experience Required: 4 Years to 6 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

Role Summary:

We are seeking a motivated and analytical India Data Scientist - III to support our analytics initiatives by transforming data into actionable insights The India Data Scientist - III supports analytical and modelling efforts by performing data preparation, exploratory analysis, and basic model development under guidance. This role is ideal for early-career professionals looking to build strong fundamentals in data science. The ideal candidate will assist in data preparation, analysis, and model development while collaborating with business and technical teams to solve real-world problems using data.

Key Responsibilities

  • Perform data cleaning, validation, and exploratory data analysis (EDA)
  • Develop basic statistical and machine learning models with supervision
  • Write efficient SQL queries to extract and analyze data
  • Create standard reports, dashboards, and visualizations
  • Assist in feature engineering and model testing
  • Document analysis steps and assumptions
  • Support senior team members in ongoing projects
  • Collect, clean, and preprocess structured and unstructured datasets
  • Perform exploratory data analysis (EDA) to identify trends and patterns
  • Validate data accuracy, completeness, and consistency
  • Support development of basic statistical and machine learning models
  • Assist in feature engineering and model evaluation
  • Translate analytical results into business insights
  • Create dashboards and reports using tools like Power BI / Tableau / Excel.
  • Present findings clearly to technical and non-technical stakeholders.
  • Work closely with business, IT, and senior analytics teams.
  • Document methodologies, assumptions, and outcomes.
  • Support ongoing analytics and automation initiatives.

Required Skills & Qualifications

Bachelors degree in data science, Statistics, Mathematics, Computer Science, or related field with 4-6 years of exposure and experience in Data Science workflow. Owns medium-complexity ML/data projects end-to-end, Drives experimentation, model tuning, and impact measurement, Translates business problems into analytical solutions & Mentors junior scientists.

Technical Skills

Python / R (pandas, NumPy, Sklenar preferred)

SQL for data querying

Power BI / Tableau / Excel for visualization

Basic understanding of statistics and ML concepts

Soft Skills

Strong problem-solving and analytical mindset

Good communication and storytelling with data

Eagerness to learn and adapt

Nice to Have

Exposure to cloud platforms (Azure / AWS / GCP)

Experience with Git / version control

Familiarity with business domains like Finance & Operations

Success Indicators

Quality and accuracy of analysis

Speed of learning and skill improvement

Adherence to coding and data standards

Interview Details

  • Interview Dates - 10th June till 12th June
  • No interviews on Saturday & Sunday
  • Visiting Time: 12pm to 2pm
  • Venue: 10th Floor, Towers D & 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)

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