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Job Summary

Responsible for leveraging data science expertise to derive actionable insights from complex data sets, aiding in driving growth and operational efficiency. Collaborate across departments, providing data-driven guidance and predictive analytics to inform critical business decisions.

Major Tasks, Responsibilities and Key Accountabilities

• Support the development of robust experiments and models with high levels of rigor to ensure accuracy, reproducibility, and reliability of results.

• Utilize modern techniques in machine learning and software development for complex data analysis and predictive modeling. Participate in the development of both stochastic and deterministic prediction models, including exploratory analysis, time series forecasting, and classification tasks with detailed instruction and supervision.

• Work with open-source libraries, including LLMs, Transformers, ML, and forecasting packages. Apply these models to a variety of datasets to extract insights, make predictions, and inform decision-making processes.

• Collaborate closely with senior team members while independently managing your own tasks, contributing to team efforts in addressing challenges.

• Stay updated with the latest developments in data science, machine learning, and big data technologies. Explore new tools and techniques to improve existing processes and contribute to innovation within the team.

• Leverage Azure Cloud services for data storage, processing, and analytics. Implement scalable solutions and manage large datasets effectively.

Nature and Scope

• Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.

• Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.

• May provide general guidance/direction to or train junior level support or professional personnel.

Work Environment

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

• Typically requires overnight travel less than 10% of the time.

Education and Experience

Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

Preferred Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.

• 5+ years of quantitative and analytics experience.

• 3 years of demonstrated Python and SQL experience

• Demonstrate skills in experimental design.

• Experience with Databricks, PySpark and MLflow is a plus.

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If you’re looking to play a role in building America, consider one of our open opportunities. We can’t wait to meet you.

Functional Area Marketing and Communications

Recruiter Haynes, Steven

Req ID WCJR-020498

White Cap is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. White Cap considers for employment and hires qualified candidates without regard to age, race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law.