WM

India Data Scientist II

WM  •  State of Haryāna, IN (Onsite)  •  3 days ago
Apply
AI can make mistakes so check important info. Chat history is never stored.
62
AI Success™

Job Description

India Data Scientist - II

We are seeking a motivated and analytical India Data Scientist - II to support our analytics initiatives by transforming data into actionable insights The India Data Scientist - II 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

Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or related field with 2-4 years of exposure and experience in Data Science workflow.

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

📍 Walk-In Drive

Date: -01st April – 03rd April

Time: 12:00 PM – 3:30 PM

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

Contact : Shivangi Chauhan (📧 Email: schauha3@wm.com)

Bring Along

Updated Resume

WM

About WM

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.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
Houston, Texas
Year Founded
Unknown
Website
wm.com
Social Media