RI
RiachueloMid-level Data Scientist
Data Scientist transforming customer data into insights that guide strategic decisions for Riachuelo. Collaborating with teams to analyze and visualize data trends for business growth.
About the role
- Contribute to the development and deployment of end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics
- Explore, test and implement GenAI solutions for use cases like personalized marketing, customer insights, or content generation
- Scope and define data science projects, set clear deliverables, and collaborate with stakeholders
- Write clean, well-organized code in GitHub repositories, following version control and collaboration best practices
- Collaborate closely with data engineers to ensure data quality, feature engineering, and development of data pipelines
- Act as a strategic partner to business stakeholders, helping them frame problems and find analytical solutions
- Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify data science opportunities
- Present analytical findings and model results through visual storytelling
Requirements
- Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
- CPG experience is preferred
- 1+ years of relevant experience with a Master's degree, or 2–3+ years of experience with a Bachelor's degree
- Proven experience working with business stakeholders; business-facing or consulting experience is preferred
- Proficiency in Python and SQL
- Experience developing and deploying machine learning and generative AI (e.g., LLMs, embeddings, RAG pipelines) models
- Skilled in predictive modeling, personalized marketing, or customer analytics use cases
- Comfortable working with unstructured/messy data
- Familiarity with GitHub and collaborative version control best practices
- Experience with cloud platforms such as Google Cloud (BigQuery, GCS) or Azure Synapse is a plus
- Knowledge of Docker and cloud-based deployment is an advantage
Benefits
- Robust health plans
- 401(k) program with a company match
- Flexible time off benefits (including half-day summer Fridays depending on location)
- Inclusive fertility/adoption benefits
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