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577 - Senior Data Scientist (Price Elasticity)

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Experience:

Mid-level (2-5 years)

Work from:

Offer summary

Bachelor’s degree in relevant field, 3+ years in retail or CPG pricing models.

51 - 200 Employees

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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