Advanced Data Scientist

Job Requirements

• Minimum Education:
• Master’s degree in engineering, computer science, data science, operations research, statistics, mathematics , quantitative sciences or relevant work experience
• Minimum Work Experience (years):
• 6 + years of experience in Data Science/Data Engineering with emphasis on the full lifecycle of Data Science-ML/AI project s .
• Within that timeframe , experience is expected in: Python/ PySpark , SQL, and relational or NoSQL databases , and cloud resource management .
• Key Skills and Competencies:
• Experience working with AWS, Azure, or GCP cloud environments.
• Experience implementing advanced analytics, ML/AI algorithms (such as : ,
• S tatistical T ime S eries: Exponential Smoothing Models , S/ ARIMA ;
• M achine L earning: Random Forests, Gradient Boosting Method s ;
• Neural Networks : TiDE ( Google ) , DenseNet & Prophet ( FB-Meta ) ;
• Foundational Time Series Models: TimesFM ( Google ) , Chronos ( AW S )
• Mathematical (constrained linear , non-linear and network) optimization models
• Proven e xperience building end-to-end production grade Data & ML/AI pipelines using PySpark , Python (Pandas/NumPy) and SQL .
• Experience working with Git (or similar code management repositories) as a collaboration tool. production-grade
• Experience with orchestration tools like Databricks, Airflow (or similar tools like Snowflake, Dagster , etc.) .
• Understanding of Retail/CPG industry business challenges with an emphasis on Supply Chain, Pricing /Promotions/Markdowns, Inventory Allocation, Assortment Mix Planning, Size & Pack Optimization, Retail Shrink/Fraud & Anomaly Detection, and Workforce optimization applications are highly desirable.
• Excellent verbal and written communication skills, especially as it relates to technical communications. Ability to present technical analysis to business stakeholders.
• Demonstrated ability to learn new technologies quickly and independently , particularly as technology in this domain rapidly advances . In this context, a w orking knowledge of GenAI/LLMs, Agentic-AI and related frameworks ( e.g. LangChain ) will be a plus .
• Ability to work independently with minimal supervision and achieve stretch goals in a highly innovative and a fast-paced environment.
• ,

Benefits

• We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement

AI Technology Statement