Data Scientist, Decision Science Analyst

Data Scientist, Decision Science Analyst

Must Have Technical/Functional Skills

• Data Scientist:

  • Strong understanding of ML Models, Statistical Models and data science workflow.

  • Exposure to Python, SQL.

  • Understanding of Model Lifecycle: development, validation, deployment, monitoring, retirement.

  • Channel and marketing Analytics (Adobe Preferred).

  • Insurance Domain.

• Decision Science Analyst:

  • Proficiency in Python, R, SQL, data visualization tools (Tableau/Power BI/Sigma).

  • Strong knowledge of statistical modeling, machine learning, and optimization techniques.

  • Channel and marketing Analytics (Adobe Preferred).

  • Insurance Domain.

Roles & Responsibilities

• Data Scientist:

  • Analyze digital customer behavior across web and mobile channels to generate actionable business insights and recommendations.

  • Leverage Adobe Analytics to measure customer engagement, digital experience performance, conversion funnels, and campaign effectiveness.

  • Customer segmentation, and personalization strategies to support marketing and business objectives.

  • Extract, transform, and analyze large-scale datasets using Snowflake, SQL, and Python to identify trends and opportunities.

  • Collaborate with business stakeholders, digital marketing teams, and product owners to define KPIs, success metrics, and analytical requirements.

• Decision Science Analyst:

• Collect, clean, and analyze large datasets to identify trends and patterns.

• Develop and implement predictive models, optimization algorithms, and simulation techniques.

• Build Dashboard derive insights for executive reporting.

• Translate analytical findings into actionable recommendations for business units.

• Work closely with product, marketing, finance, and operations teams to align analytics with business goals.

• Education

  • Degree in Computers