Associate Data Scientist

About the Role

An associate data scientist will work with a senior data scientist and play a key technical role in analyzing large data sets to develop custom models and algorithms to drive business solutions. You will work directly on AI problems that have the most impact on VS&Co's digital e-commerce, omni-channel, entire supply chain, forecasting, and merchandising.

Key Responsibilities

• Research and propose innovative statistical/ML models to address requirements.
• Target and formulate various problems in terms of key business metrics and measure the impact of built ML techniques.
• Analyze data for trends & patterns and interpret data with a clear objective.
• Develop, deploy ML/DL models in production or help develop a platform to facilitate the same.
• Work closely with the Engineering team to take Data Science projects to production.
• Communicate progress/findings to relevant stakeholders.
• Keep updated with emerging technologies in AI/ML.

Requirements & Tech Stack

• Machine Learning
• Python
• Big Data Skills
• R
• Statistics
• SQL (Required)
• PySpark (Preferred)
• Snowflake (Preferred)
• Rest/Fast APIs (Preferred)
• Experience with hypothesis testing, forecasting, time series analysis (Required)
• Experience in Machine Learning, Deep Learning or engineering aspects of ML model deployment (Required)
• Experience with optimization problems - linear/nonlinear programming, (meta)heuristics for solving optimization problems (Preferred)
• Proficiency in data analysis, mathematics/probability, and statistical analysis (Required)
• Past Data Science project experience (Preferred)
• Comfortable multitasking and working in a dynamic, fast-paced environment.
• Effective communication of DS requirements and dissemination of knowledge to relevant stakeholders.
• An inquisitive mind, ability for self-learning and abstraction, and a risk appetite for experimentation and failure.

Qualifications

• B.S. degree in Computer Science, Mathematics, Statistics.
• Knowledge of the foundations of machine learning and statistics.
• Has or pursuing Bachelor’s/Master’s/PhD degree in Computer Science, Statistics, Applied Mathematics, or related discipline (Preferred).