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
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 - 03rd 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.com7428923172)

WM is North America's leading provider of integrated environmental solutions. We partner with our customers and communities to manage and reduce waste from collection to disposal while recovering valuable resources and creating clean, renewable energy. We are on a quest for environmental performance, a mission to maximize resource value, while minimizing – and even eliminating – environmental impact so that both our economy and our environment can thrive.
WM tailors its services to meet the needs of each customer group and to ensure consistent, superior service at the local level. Headquartered in Houston, the company serves nearly 20 million municipal, commercial, industrial, and residential customers through a network of 367 collection operations, 355 transfer stations, 273 active landfill disposal sites, 16 waste-to-energy plants, 104 recycling plants, and 111 beneficial-use landfill gas projects.