Sr Data Scientist Forecasting and ML Ops Contract

Sr Data Scientist Forecasting and ML Ops

Job Description

Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration

Oversee the solution’s ML Ops from a model standpoint, own the management of data & model drift

Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format

Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging

Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value

Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise

Requirements:

Key Skills and Abilities

Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases

Experience in data management, e.g., wrangling, extraction, normalization

Ability to build industrialized data pipelines

Proficiency in SQL and Python (preferred) / R / Scala. Knowledge of big data framework like Spark is an asset

Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base

Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD

Experience using business intelligence tools like Power BI / Tableau

Experience in Azure and Databricks are a plus

Understanding of design and architecture principles is a plus

Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling

Strong project management skills to stay on top of the timelines and deliverables

Autonomy and creativity with an ability to design suitable technical solutions to solve business problems