ZipRecruiter

Log In

1

Sports Analytics Machine Learning Jobs in Connecticut

Stamford Health

Manager, Analytics

Stamford, CT · On-site

Provide subject matter expertise in analytics and business intelligence, including best practices, data modeling, visualization standards, and opportunities to leverage automation, machine learning ...

Stamford Health

Manager, Analytics

Stamford, CT · On-site

Provide subject matter expertise in analytics and business intelligence, including best practices, data modeling, visualization standards, and opportunities to leverage automation, machine learning ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

Stamford Health

Manager, Analytics

Stamford, CT · On-site

Provide subject matter expertise in analytics and business intelligence, including best practices, data modeling, visualization standards, and opportunities to leverage automation, machine learning ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Design, develop, and deploy machine learning and AI-driven solutions for business and financial ... Analyze large datasets to extract insights and build predictive or decision-support models.

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

This role combines computational image analysis, machine learning, and scientific collaboration to generate reproducible, high-quality data from complex imaging datasets while supporting biomarker ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

previous page

Showing results 41-60

All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Connecticut

Sports Analytics Machine Learning information

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.

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 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.

What are popular job titles related to Sports Analytics Machine Learning jobs in Connecticut?

For Sports Analytics Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in Connecticut look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Sports Analytics Machine Learning jobs?

Cities in Connecticut with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you
Infographic showing various Sports Analytics Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution.

Senior Applied AI & Data Scientist

Knights of Columbus - Council 11091

New Haven, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Feel Good About Doing Good
The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.
While we have many employees who are not Catholic, we follow the Church's teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.
Share Your Talent. Live Your Purpose.
We are a growing and purpose-driven community of professionals. Join us to discover how you can meet your goals and ours!
#LI-Hybrid
Overview
The Senior Applied AI & Data Scientist is a senior-level individual contributor who designs, builds, evaluates, and deploys AI-powered solutions that deliver measurable business outcomes across Life Insurance, Investments, Membership, and Charities. This role blends advanced analytics, machine learning, and generative AI (LLMs) with strong product and engineering execution operating within a governed, enterprise-scale data and AI ecosystem.
Reporting to the Director of Applied AI & Data Science, this role partners closely with business stakeholders, data analysts, engineers, and Data & AI architects to translate complex questions into explainable and production-ready capabilities. You will build solutions using Snowflake, PostgreSQL, and approved AI platforms including Retrieval Augmented Generation (RAG), agentic workflows, and decision support analytics with clear responsible AI controls suitable for regulated environments.
Core Responsibilities
  • Own end-to-end delivery of AI solutions from problem framing and exploratory analysis through production deployment and measurement.
  • Design and deliver LLM-enabled analytics and "Deep Research" capabilities using RAG over structured and unstructured enterprise data.
  • Build agentic workflows and multi-step orchestration (tool use, function calling, retrieval, and guardrails) to automate business processes.
  • Develop and deploy advanced statistical and machine learning models supporting insurance, actuarial, claims, risk, and investment decision-making.
  • Engineer features and context: build reusable feature pipelines, embeddings, vector search patterns, and semantic/metadata strategies.
  • Define success criteria and evaluation plans: offline tests, human-in-the-loop review, and online measurement (A/B or phased rollout).
  • Productionize and operate models: partner with engineers to implement CI/CD, monitoring, drift detection, prompt/version management, and incident response runbooks.
  • Apply responsible AI practices consistently: bias and fairness assessment, transparency, documentation (model cards), and audit-ready controls.
  • Communicate insights and tradeoffs clearly to executives and technical teams (risk, compliance, security) and influence decisions with data.
  • Contribute to reusable standards and patterns for MLOps/LLMOps across the enterprise (templates, libraries, and governance checklists).

Skills Qualifications
Required:
  • Strong Python and SQL skills; experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) and data science best practices.
  • Hands-on experience with Snowflake (Snowpark and/or Cortex) and relational databases such as PostgreSQL.
  • Experience with vector search/embeddings and knowledge retrieval patterns; familiarity with vector databases and hybrid search.
  • Experience partnering with engineering on production services (APIs, batch/stream pipelines), monitoring, and CI/CD.
  • Ability to define and run robust evaluation for models/LLMs (quality, safety, performance, cost) and translate into business KPIs.

Preferred:
  • Financial services experience (life insurance, annuities, investments preferred) and familiarity with regulated model governance.
  • Experience with legacy-to-cloud data modernization (e.g., IBM DB2 extracts) and integration tools (e.g., Talend) where relevant.
  • Experience with ML lifecycle tooling (e.g., MLflow or equivalent), containerization (Docker), and API frameworks (FastAPI/Flask).

Education
Required:
  • 6+ years delivering advanced analytics and machine learning solutions, including production deployment.
  • 2+ years delivering GenAI/LLM solutions (RAG, agents, evaluation/guardrails) in an enterprise environment.

Compensation
The wage range for this role takes into account a broad array of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The range below applies as long as the work is performed in Connecticut; the Knights of Columbus reserves the right to adjust the wage range if the position is performed in another location. At the Knights of Columbus, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 - $207,500.
Authorization to work in the United States is required.
This position is not eligible for visa sponsorship.
Physical Demands
Must be able to remain in a stationary position for a majority of the workday.
KofC Cares
Our mission is focused on family and faith, and we support our employees in seeking a balanced life.
Employee benefits include:
Time Away: 13 paid holidays per year in addition to vacation and paid sick leave, and flexible workweek schedules.
Professional Development: Certifications, designation, and tuition reimbursement.
Retirement Benefits: 401(k) retirement savings plan with matching company contributions, and cash balance retirement plans fully funded by the company.
Health and Wellness:
  • Short-term disability and term life insurance fully paid for by the company;
  • Up to 12 weeks of childbirth leave under STD policy.
  • One week of fully paid parental leave for all new parents, including adoptive and foster parents.
  • A variety of health insurance options, including premium-level family coverage and a pre-tax Health Savings Account with employer contributions. The Order's health plans do not cover abortion, sterilization, or contraception, and the Order has helped advocate for other employers who do not want to provide coverage.
  • Long-term disability insurance;
  • Dental insurance;
  • Vision insurance;
  • Health club membership reimbursement;
  • Employee Assistance Program

Apply