Associate Data Scientist

• TITLE: Associate Data Scientist
• DEPARTMENT: Data Sciences & Analytics
• LOCATION: Bangalore, India

Purpose

• The associate data scientist will work with a senior data scientist and play a key technical role in analysing large data sets to develop custom models and algorithms to drive business solutions:
• •You would be building machine learning models on any of the below areas:
• 1.A/B testing, measurement frameworks & Causal modelling,
• 2.NLP, LLMs & embeddings, GenAI chat-bots,
• 3.time-series forecasting & anomaly detection,
• 4.optimization and recommendation systems,
• 5.Classification and regression models.
• You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage.
• You have strong problem solving, analytic, decision-making, and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.
• You will work directly on the AI problems that have the most impact on VS&Co's digital e-commerce, omni-channel, entire supply chain, forecasting and merchandising.

Responsibilities

An Associate Data Scientist will work very closely with a data science mentor and would be responsible for building data science and machine learning solutions for our business problems across e-commerce, finance, store operations, logistics and supply chain:

• Research and propose innovative statistical/ML models to address the requirements.
• Target and formulate various problems in terms of key business metrics and measure the impact of the built ML techniques.
• Analyze data for trends & patterns and interpret data with a clear objective in mind.
• 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.

B.S. degree in Computer Science, Mathematics, Statistics

Knowledge of the foundations of machine learning and statistics. Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc. (Required).

• Experience with SQL, Python (Required). Experience with PySpark, Snowflake and Rest/Fast APIs (Preferred)
• Experience in Machine Learning, Deep Learning or Engineering aspects of ML model deployment (Required).
• Has or pursuing Bachelor’s/Master’s/PhD degree in Computer Science, Statistics, Applied Mathematics, or related discipline (Preferred)
• Experience of working on 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)
• Should be comfortable multitasking and working in a dynamic, fast paced environment.
• Effective communication of DS requirements and dissemination of right knowledge to relevant stakeholders
• Most importantly, an inquisitive mind, an ability for self-learning and abstraction along with a risk appetite for experimentation and failure.

Mandatory Skills

Machine Learning, Python, Big Data Skills, R, Statistics