India Data Scientist II

On Site Full TimeGurgaon, Haryana, IndiaWM

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

Requirements

  • 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

Benefits

  • Commuter benefits not specified, likely included in salary
  • Generous Paid Time Off not specified, likely included in salary
  • 401k Matching not specified, likely included in salary
  • Retirement Plan not specified, likely included in salary

Tagged as: , , , ,

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

  • Applications have closed

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!