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Data Scientist

Job Description:

  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements
  • Analyze large data sets, identifying patterns and trends to drive business decisions.
  • Develop predictive models and algorithms, particularly focusing on optimizing operations within the FMCG context (e.g., sales forecasting, product launches).
  • Collaborate cross-functionally with teams in supply chain, marketing, and sales.
  • Manage data infrastructure.
  • Conduct A/B testing, experimentation, and develop new data sources.
  • Mentor junior team members and contribute to long-term data strategy.
  • Communicate complex insights in a simple manner to non-technical stakeholders.
  • Stay updated with industry trends in both data science and FMCG.

Qualifications:

  • Bachelor’s degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • At least 5-8 years’ of experience in quantitative analytics or data modeling
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Fluency in a Python, C,C++, Java, SQL, AWS
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
  • Familiarity with FMCG-specific data challenges and metrics (inventory, demand forecasting, sales trends).

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