Sr Data Scientist Forecasting and MLOps Undefined

Sr Data Scientist Forecasting and ML Ops

Location: Durham, NC or Pleasanton, CA

Hybrid: 3 days per week

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

Education And Experience Required
Bachelor’s degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master’s degree preferred)
5+ years of overall data science experience
3+ years business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units)