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Honasa Consumer (Mamaearth)

Data Scientist (Fresher)

Job · Full-timeIn OfficeGandhinagar, Gujarat0–1 years47K/mo4 openingsImmediate / as per notice period
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About this role

Honasa Consumer (Mamaearth) is hiring a Data Scientist (Fresher) in Gandhinagar. This is a full-time, permanent role for candidates who want to work on real applied data science problems — owning datasets, numbers and reporting that the business actually makes decisions on, not practice…

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Skills you'll use

PythonPandas & NumPyScikit-learnSQLStatistics & ProbabilityExploratory Data AnalysisMachine Learning BasicsData VisualizationJupyterModel EvaluationGitCommunication

What you'll do

  • Clean, explore and document datasets for modelling
  • Build and evaluate baseline models under a senior data scientist
  • Turn model output into a clear recommendation for the business
  • Automate data pulls and feature preparation in Python and SQL
  • Present findings in weekly reviews and act on feedback
  • Validate and reconcile numbers before publishing, and document data caveats
  • Automate recurring reporting to free up time for real analysis
  • Present findings clearly to non-technical stakeholders

Who can apply

  • B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics / Data Science / Computer Science), BCA/MCA or MBA (Analytics) from a recognised university
  • 0–1 years of experience in analytics, reporting or MIS — freshers and 2026 graduates are welcome
  • Working knowledge of Python, Pandas & NumPy, Scikit-learn
  • Comfort with Python, scikit-learn and SQL and with cleaning messy, real-world data
  • Ability to define a metric precisely and explain a result to a non-technical stakeholder
  • Attention to detail, ownership and the discipline to document your work
  • Based in Gandhinagar, Gujarat or willing to relocate

Perks & benefits

Flexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarksAnnual performance bonus / variable payHealth insurance for you and your dependants

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  3. 3Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out

About Honasa Consumer (Mamaearth)

Honasa Consumer (Mamaearth) operates in the d2c consumer brand sector and runs an active team in Gandhinagar. It is an established employer with a working analytics function — data is used to run the business day to day, not filed away in a quarterly deck. Industry and what the company does Honasa…
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