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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