Data Scientist Advisor
Posted 1 week ago by 1751438875
Negotiable
Outside
Hybrid
USA
Summary: The Data Scientist Advisor role at Kforce involves performing advanced analytical and statistical work to interpret large data sets, optimize products and processes, and develop machine learning models. The position requires extensive experience in data analysis, machine learning, and programming, particularly with tools like Python and Amazon SageMaker. The role can be performed remotely or from Fairfax, Virginia, and is classified as outside IR35.
Key Responsibilities:
- Perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
- Use large data sets to find opportunities for product and process optimization
- Use models to test the effectiveness of different courses of action
- Mine and analyze data using a variety of data tools
- Build and implement models using/creating algorithms and creating/running simulations
- Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Drive business results with data-based insights
Key Skills:
- 8+ years of related experience
- Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI
- Able to create complex queries in SQL for testing and data analysis
- Experience developing ML pipelines and with ML Operations
- Experience with Model Tuning and Governance
- Experience with the following tools: MLFlow, GitHub, Docker
Salary (Rate): undetermined
City: Fairfax
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist Advisor in Fairfax, VA.
Key Tasks:
* Perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
* Use large data sets to find opportunities for product and process optimization
* Use models to test the effectiveness of different courses of action
* Mine and analyze data using a variety of data tools
* Build and implement models using/creating algorithms and creating/running simulations
* Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy
* Assess the effectiveness and accuracy of new data sources and data gathering techniques
* Drive business results with data-based insights
REQUIREMENTS:
* 8+ years of related experience
* Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI
* Able to create complex queries in SQL for testing and data analysis
* Experience developing ML pipelines and with ML Operations
* Experience with Model Tuning and Governance
* Experience with the following tools: MLFlow, GitHub, Docker
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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