Data Science Manager

7 hours ago

Ahmedabad Gujarat India, Gujarat ConsultMeIn Full time

***PLEASE READ THE JOB DESCRIPTIONBEFORE YOU APPLY***


We’re Hiring: Manager – Data Science | Ahmedabad (Onsite)


Are you ready to influence business-critical decisions at scale? My client — a global powerhouse in the food & beverage industry — is doubling down on digital transformation, advanced analytics, and AI-driven decision-making. This is your opportunity to shape next-gen data science capabilities for a world-class brand.


Role: Manager – Data Science

Location: Ahmedabad (Work from Office)

Experience: 7–12 Years

Salary: Best in the industry — let’s talk


As a Data Science Leader, you’ll spearhead high-impact modeling and ML initiatives, mentor a talented team of data scientists, and partner with cross-functional stakeholders to convert data into business value. Expect a role that blends strategic thinking with hands-on model development, experimentation, and innovation.


What You’ll Drive:

  • Lead and mentor a team of data scientists across agile pods
  • Build predictive models using ML/AI techniques (Python/R)
  • Engineer scalable, interpretable, production-ready models
  • Partner with business teams to identify opportunities & deliver insights
  • Explore large datasets to unlock deep business intelligence
  • Advance best practices in analytics, modeling, and experimentation
  • Communicate complex concepts to non-technical stakeholders
  • Stay ahead of the curve on ML, AI, big data & cloud innovations

You Bring:

  • 5+ years in applied data science
  • Strong ML/AI expertise with Python/R
  • SQL fluency and solid statistical foundations
  • Experience in stakeholder collaboration & problem solving
  • A builder’s mindset with the ability to innovate and experiment
  • Digital Twin, Production/Capacity Optimization

Great to Have:

  • Master’s degree in a quantitative field
  • Prior leadership experience
  • Exposure to Snowflake, Spark, Azure
  • Experience with Agile teams
  • Advanced modeling techniques (DOE, ANOVA, optimization, simulation)

If you’re hungry to lead, build, and scale future-ready data science solutions, this is your moment.

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