Data Scientist

6 days ago

Durham, United States PROSOURCE IT LTD Full time
  • Role: Sr Data Scientist - Forecasting and ML Ops
  • Hybrid: 2 to 3 onsite - position is available in either Pleasanton, CA or Durham, NC

Job Description

  • We are looking for a passionate Data Scientist to join our team and help us build the future of forecasting and business planning. In this role, you will be responsible for developing and deploying forecasting models using a variety of techniques, including machine learning, statistics, and data mining. You will be contributing to the codebase of our forecasting engine, that combines data signals and drivers from multiple sources and generates forecasts for multiple business units. You will also be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models. Forecasting team would drive this transformation through embedding predictive analytics and data science capabilities into the global decisions, empowering business units with scalable, reusable models. This position reports to Associate Director, Enterprise Analytics.

Job Description

  • Deliver end-to-end ML and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration.
  • Do first line and second line model and modeling code base maintenance, incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging.
  • 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.
  • 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.

Key Skills and Abilities

  • Deep understanding of and experience with ML models and ML engineering, advanced statistics, time series forecasting, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases.
  • Proficiency in Python (required) / Scala / Java / C++ and SQL. Knowledge of big data frameworks like Spark is an asset.
  • Experience with navigating, collaborating on, and delivering production-grade code in large, complex industrialized code bases.
  • Experience with building, deploying, and maintaining industrialized data pipelines.
  • Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD.
  • Experience in Azure and Databricks (or other cloud equivalents)
  • Autonomy and creativity with an ability to design suitable technical solutions to solve business problems.
  • Understanding of design and architecture principles is a plus.
  • Experience in data management, e.g., wrangling, extraction, normalization.
  • Strong project management skills to stay on top of the timelines and deliverables.

Requirements:

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

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