Senior Data Scientist

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

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.