Lead Data Scientist (Azure Databricks)

Anveta

Job Title: Lead Data Scientist (Azure Databricks)

Location: Tampa, Florida, United States

Work Arrangement: On-site

Interview Mode: Video

Job Type: Contract

Position Overview

Lead end-to-end sales forecasting model development from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure).

Must-Have Skills

applied ML CPG, FMCG
Databricks
Python - pandas, PySpark, scikit-learn
Experience with Azure ML or Azure ecosystem

Secondary Skills

MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps pipelines to automate model retraining, evaluation gates, and deployment to Databricks Model Serving

Key Responsibilities

Lead end-to-end sales forecasting model development - from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure)
Design and maintain forecasting pipelines - at SKU, category, and regional hierarchy levels - incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather)
Apply CPG domain knowledge - to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets
Operationalise ML models using MLflow on Databricks - manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts
Collaborate with commercial and supply chain teams - to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies
Define and enforce data science best practices - modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team
Mentor junior data scientists - conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture
Communicate model insights and forecast accuracy - to senior stakeholders through dashboards, executive briefings, and written reports - making complex model behaviour accessible to business audiences
Drive continuous model improvement - benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics
Partner with data and platform engineers - to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements

Additional Requirements

Master's or PhD in Statistics, CS, or related field (preferred)
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities

Communication & Interpersonal Skills

Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Strong interpersonal skills to build and maintain productive relationships with team members
Provide constructive feedback during code reviews and be open to receiving feedback on your own code
Capability to troubleshoot and resolve issues efficiently
Analytical mindset

Apply

Vacancy posted 4 days ago

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