Senior Data Scientist

Position Title: Senior Data Scientist

Job Description:

Roles & responsibilities:

• Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs
• Use machine learning algorithms to create Media Mix modelling (MMM). Multi Touch Attribution Modle (MTA), Media optimization, dynamic pricing and dynamic bid optimization, Click Through Rate prediction, Forecast Display product Ads & Sponsored Ad inventory
• Use machine learning algorithms to generate customer behavior segmentation, measure campaign effectiveness by tracking campaign success KPIs
• Build data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
• Extract insights and scale sentiment analysis from comments and other forms of feedback using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling
• Design experiments and deliver A/B Testing analysis to improve customer experience in physical stores and on digital platforms
• Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
• Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communication

Experience Required:

• Master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
• 5+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
• Business experience and familiarity with Retail industry-related Data Science capabilities including forecasting, optimization, categorization, recommendations, time-series models, deep learning and predictive analytics is preferred
• 5+ years of experience and proficiency in Python and/or Spark-ML
• 5+ years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data.
• 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
• Proven track record of leveraging data science solutions to drive impactful business decisions
• Proven ability to effectively distill and communicate complex machine learning solutions to different audiences
• Experience with Snowflake, Azure Databricks is a strong plus
• Experience using data access tools and building dashboards with large datasets from multiple data sources is a plus

Skills Required:

• SQL
• Python
• Machine Learning
• Deep Learning
• LLM / Gen AI
• Recommendation and personalization Algorithm
• Statistical & Mathematical Foundations Strong knowledge of regression, clustering, survival modeling, and ensemble techniques.
• Cross-Functional Collaboration Skills Ability to work with marketing, media ops, and product teams in a matrix structure.
• Communication & Business Storytelling Presenting complex data insights to business stakeholders clearly and impactfully.