... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
AI/ML Software Developer
Clinton, IA · Remote
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
AI/ML Software Developer
Clinton, IA · Remote
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
AI/ML Software Developer
Waterloo, IA · Remote
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
AI/ML Software Developer
Waterloo, IA · Remote
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and ... Exceptional analytical and creative problem-solving skills, strong communication skills to convey ...
You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and ... Exceptional analytical and creative problem-solving skills, strong communication skills to convey ...
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
... data for machine learning pipelines, feature engineering, and model lifecycle management ... and internal value analysis including seniority and merit systems, as well as internal pay ...
New
Predictive Analytics VP Who We Are: With Farm Bureau Financial Services, our client/members can ... statistical, machine learning, and AI techniques used in developing new products and services ...
Predictive Analytics VP Who We Are: With Farm Bureau Financial Services, our client/members can ... statistical, machine learning, and AI techniques used in developing new products and services ...
CTIO AI Engineering Manager
Des Moines, IA · On-site
$73.50K - $244K/yr
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...
CTIO AI Engineering Manager
Des Moines, IA · On-site
$73.50K - $244K/yr
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...
Payer Healthcare Data Scientist, Manager
Des Moines, IA · On-site
$99K - $232K/yr
... machine learning methodologies to analyze vast claims and clinical data - Generate actionable insights aimed at reducing healthcare costs and enhancing population health - Lead and mentor teams while ...
Payer Healthcare Data Scientist, Manager
Des Moines, IA · On-site
$99K - $232K/yr
... machine learning methodologies to analyze vast claims and clinical data - Generate actionable insights aimed at reducing healthcare costs and enhancing population health - Lead and mentor teams while ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
In this role, you will participate in tasks that help improve machine learning models, including ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...
Intern - Enterprise Analytics
$15.75 - $20.50/hr
Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems. * Develop data visualizations and dashboards using ...
Intern - Enterprise Analytics
$15.75 - $20.50/hr
Develop advanced analytics models (machine learning, statistical, mathematical, or computational models) using Python to solve industry problems. * Develop data visualizations and dashboards using ...
AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)
Davenport, IA · On-site
$108.60K - $130.40K/yr
Ensure database performance and integrity. • Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases. • ...
AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)
Davenport, IA · On-site
$108.60K - $130.40K/yr
Ensure database performance and integrity. • Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases. • ...
AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)
Bettendorf, IA · On-site
$102.70K - $123.30K/yr
Ensure database performance and integrity. • Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases. • ...
AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)
Bettendorf, IA · On-site
$102.70K - $123.30K/yr
Ensure database performance and integrity. • Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases. • ...
Sports Analytics Machine Learning information
What are the key skills and qualifications needed to thrive as a Sports Analytics Machine Learning Specialist, and why are they important?
To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.
How do Sports Analytics Machine Learning professionals typically collaborate with coaches and athletes to impact game strategy?
Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.
What is sports analytics machine learning?
Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.
What are popular job titles related to Sports Analytics Machine Learning jobs in Iowa? For Sports Analytics Machine Learning jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Iowa look for? The top searched job categories for Sports Analytics Machine Learning jobs in Iowa are:
- Machine Learning Research Intern
- Sports Analytics Summer Internships
- Machine Learning Biomedical Engineer
- Junior Ai Machine Learning Python
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- Quantitative Analyst Physics
- Freelance Machine Learning Biology
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What cities in Iowa are hiring for Sports Analytics Machine Learning jobs? Cities in Iowa with the most Sports Analytics Machine Learning job openings:
Full-time
Medical, Life, Retirement, PTO
Posted 2 days ago
Maximus rating
6.9
Based on 287 frontline employees who took The Breakroom Quiz
229th of 424 rated business services
Job description
Description & Requirements
Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.
This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.
This position is remote and requires a Secret security clearance.
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6
Job-Specific Essential Duties and Responsibilities:
- Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems
- Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management
- Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts
- Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices
- Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment
- Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies
- Supports system accreditation, documentation, testing, and evaluation activities
- Collaborates with Government and contractor teams across development, integration, and readiness environments
- Participates in Agile program increment (PI) planning and activities requiring periodic travels
Job-Specific Minimum Requirements:
- Active Secret security clearance required
- Bachelor’s degree in related field required
- A Master’s degree may substitute for 2 years of experience
- 5 years of experience in the functional area
- 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).
- 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.
- Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
- 3 years of experience testing web-based applications.
- 3 years of experience participating in software development programs or projects.
- Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.
- 5 years of experience with Jenkins and GitLab.
- Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.
Preferred Skills and Qualifications:
- Experience using Agile Test-Driven Development
- Experience integrating into DoD DevSecOps environments
- 5 years of experience with CI/CD software development
- Experience supporting RMF accreditation and security assessment activities
- Experience with model monitoring, explainability, and Responsible AI practices
- Experience integrating AI/ML services into operational dashboards or decision support platforms
#techjobs #clearance #veteranspage # USCYBERCOM
Minimum Requirements
TCS195, T3, Band 6
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .
Minimum Salary
$
110,000.00
Maximum Salary
$
145,000.00