Responsibilities

Kforce has a client that is seeking a Data Scientist in Oakland, CA. Summary: We are seeking an experienced Data Scientist in the Ops Support Data & Analytics who will provide strong execution and delivery of data science. Working as a part of the product team, this Data Scientist will translate business needs into advanced analytics and advanced data modeling. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. Duties/Day to Day Overview:

• Leads development of high complexity models and training sets
• Provides hands-on execution and implementation of data science models
• Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
• Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
• Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
• Performs analysis on complex data models requiring customized reports and data and presents recommendations
  
  

Requirements

• Bachelor's degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
• Job-related experience, 8 years, or Master's degree and job-related experience, 6 years, and job-related experience, 3 years
• Experience in data modeling, 5 years
• Able to work with large data sets, has sequel, python experience
• Able to produce data visualization, Power BI or Tableau
• Understands Data Science from a modeling perspective, understand how to do scenario analysis and different data modeling
• Utility Experience (understand this may be unlikely)
  
  

Desired Education/Skills:

• Experience with Python, R, Scala, SQL
• Experience data science notebooks (Jupyter, Zeppelin or other)
• Experience with AWS, Azure, cloud computing technologies
• Energy industry experience
• Experience designing efficient data science workflows and database architecture for data science purposes
• Experience with forecasting, Bayesian networks, and graph analytics
• Strong statistics experience
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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