Senior Data Scientist - AI/ML POC & Price Elasticity Modeling in Retail/CPG Responsibilities: Data Exploration & Analysis : Process and analyze both structured and unstructured data to uncover trends, patterns, and insights that inform business strategies.
Model Development : Design, build, and evaluate predictive models and machine learning algorithms, with a focus on price elasticity and related challenges.
Prototyping & Solutions : Develop AI/ML product prototypes that address customer problems and business needs, moving from concept to actionable solutions.
Data Visualization & Communication : Present complex data insights through intuitive data visualization techniques, making data-driven recommendations to stakeholders.
Cross-functional Collaboration : Work closely with engineering and product development teams to ensure seamless productionization of AI models, ensuring scalability and reliability.
Requirements: Education : Bachelor's degree or higher in a relevant analytical field (e.g., Data Science, Statistics, Computer Science).
Experience : Minimum of 3 years in the retail or CPG industry, specifically in pricing models and demand forecasting.
Technical Expertise : Proficiency in Python (including pandas and object-oriented programming), SQL, and experience in time series analysis.
Prototyping & Testing : Strong skills in creating prototypes, along with experience in QA, testing, and refining models for production use.
Data Interpretation & Storytelling : Ability to interpret complex data, create visualizations, and effectively communicate insights through data storytelling.
Core Skills Programming : Python, SQL, experience with transaction data and time series analysis.
Cloud & Systems Architecture : Understanding of large-scale software and system architecture, with experience in cloud environments.
Communication : Strong ability to articulate technical concepts to both technical and non-technical stakeholders.
Preferred Skills & Experience: Machine Learning Tools : Familiarity with Python ML libraries such as PyTorch, TensorFlow, Jupyter Notebooks, scikit-learn, and Numpy.
Big Data Processing : Prefer Databricks experience, Experience with Spark for handling large datasets.
UI Development : Experience in building simple UIs using Flask, Plotly, or Streamlit.
DevOps & CI/CD : Understanding of continuous integration, testing, deployment, and release methodologies.
What We Offer: A remote, flexible work environment where you can manage your own schedule.
A long-term, full-time position with opportunities for growth and development.
The chance to work on an innovative product with a talented, collaborative team.
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