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Sr. Python Data Scientist

Durham, NC 27701

Posted: 03/06/2024 Industry: BI/Data Job Number: 38327 Remote/Work From Home Jobs: No

Job Description

Are you an experienced Sr Data Scientist – Forecasting and ML Ops? If so, let’s talk!
Our client is actively seeking a talented Sr Data Scientist – Forecasting and ML Ops located in Pleasanton, CA or Durham NC. This is a 6-month contract opportunity.

This is a hybrid position with 2 – 3 days per week required in office.

Job Overview:

Our client is transforming its data & technology capabilities and culture to accelerate purpose-driven business growth. 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.

  • 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.

  • 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).
  • 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.
  • Experience in data management, e.g., wrangling, extraction, normalization.
  • Strong project management skills to stay on top of the timelines and deliverables.

Preferred Qualifications:
  • Understanding of design and architecture principles

Job Requisition # 38327

A reasonable estimate of the pay range for this role is $77.00 - $82.00 per hour.

The disclosed pay range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  The compensation decisions are dependent on the facts and circumstances of each case, such as skills and experience levels.

Meet APC
Company – Staffing – 501 – 1000 employees

APC believes that the workplace should be fun and enjoyable. Join our team today and ignite your career!
APC is a professional services organization focused on engaging people and positively impacting lives. As professionals serving professionals, we take pride in providing our employees with the highest level of customer service and support, creating meaningful, fulfilling and rewarding experiences every day.
APC is committed to creating a diverse work environment and is proud to be an equal opportunity employer.  All qualified individuals will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetics, or veteran status.

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About Durham, NC

Ready to embark on your next career adventure? Explore our job opportunities in and around Durham, North Carolina, a vibrant city nestled in the heart of the Research Triangle. Known for its booming tech industry, top universities like Duke and UNC Chapel Hill, and a thriving arts scene, Durham offers an inviting blend of Southern charm and innovation. Imagine working just minutes away from the stunning Duke Gardens, catching a show at the Carolina Theatre, or cheering on the Durham Bulls baseball team at the historic Durham Bulls Athletic Park. With its culinary delights, including top-notch BBQ joints and food trucks, along with easy access to outdoor activities at the Eno River State Park, Durham promises a fulfilling work-life balance for those seeking new career opportunities. Explore our listings today and discover why Durham is the perfect place to grow your career.
APC is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetics, or veteran status. **California Consumer Protection Act

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