557 - Sr. Data Scientist
hace 3 horas
**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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