Description
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.
Education: Masters of Science in Data Science
Required Experience: 8+ years of related experience
Required Technical Skills:
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
Public Trust: All candidates must be willing to submit to a CMS background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years
Required Skills and Abilities:
Data Science experience with healthcare and/or claims analysis
Statistics background and knowledge of queuing theory
Expected to formulate questions that will help the business and then proceed in solving them
Must be able to work with engineering teams to source the right data, evaluate system performance
Experience with one or more: Machine Learning, Deep Learning, Predictive Analytics
Problem-solving attitude
High level of self-motivation and initiative
Must be able to effectively develop written artifacts and communicate ML/AI concepts to stakeholders
Strong written and verbal communication skills
Skills
data science, feature engineer, machine learning, predictive modeling, writing skills, predictive analytics
Top Skills Details
data science,feature engineer,machine learning,predictive modeling,writing skills,predictive analytics
Additional Skills & Qualifications
What government agency/customer does the contract support? Centers of Medicare and Medicaid Services (CMS)
What is the mission of the program? The purpose of this special project for the MSPSC contract is to use machine learning models to analyze Medicare claims data and to improve model(s) for identifying incident-related claims with greater accuracy than the current approach.
What is the length of the contract? What Option Year is it currently in? When is re-compete? Recompete September 11, 2026
What is the typical work schedule (hours)? M-F 9am-5pm ET; Core hours for the team are 9am-330pm ET
What will a typical workday look like for the Contract Labor Associate (CLA)? Typical day is 8 hours which will include meetings and productivity time
What do your best people have in common (top three/five skillsets)? Prompt response, excellent communication, team player, natural curiosity, self-motivation.
What is the interview process (phone then in-person or only phone, etc.)? Is there more than one round? Will they interview you and other team members? The goal is a single on-camera interview that will be with me (or another manager) and one or more technical team members or SMEs. On occasion, a second interview is requested before the final selection is made.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $68.00 - $75.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Jul 9, 2025.
h4>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
