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Sports Analytics Machine Learning Jobs in Pawtucket, RI

Data Science Tutor

Providence, RI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior Data Scientist

Bridgewater, MA · On-site

$130 - $160/hr

Analyze large and complex datasets to identify patterns, build statistical and machine learning models, and solve critical business problems using big data technologies like Databricks, Azure ML, and ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

AI Engineer

Mansfield, MA · On-site

$190 - $210/hr

... analytical and technical skills to design and build production-grade solutions using Large Language Models (LLMs), agentic frameworks, and modern Deep Learning (DL) and Machine Learning (ML ...

Develop, test, and evaluate analytical workflows and models to improve data processing efficiency * Support annotation of datasets and development of machine learning models, including training and ...

Machine Operator I

Avon, MA · On-site

$17.25 - $20.75/hr

... learning. You have a voice and can be an engine for change. Joining Ranfac is joining a family ... Strong Analytical skills -Blueprints, schematics, models and other specifications * Demonstrate a ...

Showing results 21-40

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 Pawtucket, RI?

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

What cities near Pawtucket, RI are hiring for Sports Analytics Machine Learning jobs?

Cities near Pawtucket, RI with the most Sports Analytics Machine Learning job openings:

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

Manager, Advanced Analytics & Modeling

Ocean Spray

Lakeville, MA • On-site, Remote

$116K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Ocean Spray rating

9.0

Company rating: 9.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

14th of 443 rated food and drinks producers


Job description

Ocean Spray is hiring for a(n) Manager, Advanced Analytics & Modeling! We're a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role - it always comes back to this: we're a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all - and we've been making our own way ever since. Position Location: We're all about flexibility! This will be a hybrid role based out of our corporate headquarters in Lakeville, MA with Mondays and Fridays remote. The Advanced Analytics & Modeling Manager is responsible for transforming data into actionable business insights that drive profitable growth, operational effectiveness, and strategic decision-making across Ocean Spray. This role applies advanced analytics, statistical modeling, forecasting methodologies, and optimization techniques to address complex business challenges and support fact-based decision-making. Working closely with Revenue Growth Management, Marketing, Sales, Demand Planning, Finance, Innovation, and Information Technology, this position delivers analytical solutions that improve business performance, identify growth opportunities, and optimize commercial investments. The role serves as a trusted analytical partner, translating complex data into practical recommendations that create measurable business value. The ideal candidate combines strong technical expertise, business acumen, and communication skills with a passion for solving complex problems through data and analytics.A Day in the Life...Advanced Analytics & ModelingDevelop, maintain, and enhance commercial, forecasting, and optimization models that drive growth, improve business performance, and support strategic decision-making.Execute Marketing Mix Modeling (MMM) analyses to evaluate marketing effectiveness and optimize investment allocation across brands, channels, tactics, and customer segments.Develop pricing, promotion, and elasticity analyses to quantify business impact and support revenue growth strategies.Design and evaluate controlled experiments, A/B tests, and test-and-learn initiatives to measure business impact and support decision-making.Create scenario analyses and simulation models to evaluate strategic alternatives and support business planning activities.Apply statistical, econometric, machine learning, and optimization methodologies to solve business challenges and uncover actionable opportunities.Conduct ad hoc analytical projects and modeling initiatives to address evolving business questions and strategic priorities.Business Partnership & InsightsPartner with cross-functional stakeholders to understand business objectives and translate them into analytical solutions.Translate analytical findings into actionable recommendations, quantify business impact, and communicate results to support fact-based decision-making.Support business initiatives through performance measurement, business case development, and analytical consultation.Collaborate with external analytics providers and syndicated data partners, including Circana and Nielsen, to support analytical initiatives and validate methodologies.Data & Analytics ExcellenceAnalyze large, complex datasets from internal and external sources to identify trends, insights, risks, and opportunities.Ensure analytical consistency and quality through standardized methodologies, documentation, and validation practices.Collaborate with internal and external partners to ensure data quality, integrity, accessibility, and usability.Communication & StorytellingDevelop clear, compelling, and executive-ready presentations and reports that communicate analytical findings, business implications, opportunities, risks, and recommendations to technical and non-technical audiences.Present findings and recommendations to stakeholders and leadership teams to support alignment and action.What We Are Looking For:Education & ExperienceBachelor's degree in Statistics, Economics, Data Science, Mathematics, Business Analytics, Computer Science, or a related quantitative field required.Master's degree preferred.5+ years of progressive experience in advanced analytics, econometric modeling, revenue growth analytics, data science, or related quantitative disciplines.Consumer Packaged Goods (CPG), retail, and syndicated data experience strongly preferred.Technical SkillsAdvanced proficiency in Python, SQL, SAS, and modern analytics platforms.Experience developing statistical, econometric, predictive, causal, machine learning, and optimization models.Experience with Marketing Mix Modeling, pricing and promotion analytics, trade optimization, controlled store testing, A/B testing, forecasting, and revenue growth management analytics.Experience working with large structured and unstructured datasets.Knowledge of Power BI, Tableau, or similar data visualization and business intelligence platforms.Experience with Circana (IRI), Nielsen, retail scanner data, syndicated data sources, and internal sales and financial data preferred.Leadership & Business SkillsStrong business acumen with the ability to connect analytical findings to commercial outcomes.Ability to influence stakeholders across multiple functions and organizational levels.Excellent project management, prioritization, and organizational skills.Strong communication, presentation, and storytelling abilities.Demonstrated ability to manage multiple analytical initiatives and deliver high-quality results in a fast-paced environment.Strong problem-solving skills, intellectual curiosity, and commitment to continuous improvement.Education:Bachelor's or University Degree (Required) Master's Degree (Preferred)Work Experience:At least 7 Years of ExperienceAnnual Salary:$116,300 - $145,400The base salary range information above serves as a guideline of the position's typical hiring range. We value and appreciate what makes you unique and will consider a variety of factors when determining an offer. These factors include, but are not limited to, your skills and experience, external and internal benchmarks, as well as overall company considerations. Certain positions may be eligible for short-term and long-term incentive rewards. We also offer a competitive and comprehensive benefits program that supports all aspects of your health and well-being. Benefits:Complete insurance package on Day-1 that includes a plethora of health and wellness programsHealth, Dental and Vision insuranceHealth savings accountFlexible spending accountLife and accident insuranceEmployee assistance programTelehealth services1:1 health coachingSupportive benefits for all the stages of your life401(k) with up to 6% Company matching; additional potential discretionary match at year-endShort-Term Incentive/Performance bonusesFlexible scheduling optionsVacation pay, up to three weeks of time (pro-rated for your first year of employment)Holiday pay for 12 holidaysCareer development and growth opportunitiesTuition/Education assistance programsAccess to LinkedIn LearningScholarship programs for children of employeesParental leaveBright Horizons Family Solutions - Back-up care, tutoring, etc.Adoption assistanceBereavement leaveUp to $300 fitness reimbursementUp to $300 massage reimbursementEmployee appreciation eventsEmployee discountsCharitable giving Who We Are: You might have our iconic cranberry juice in your fridge or have gotten into heated holiday debate about what's better - canned or fresh cranberry sauce. But did you know that the hardworking people growing the superfruit in our products are 700 family farmers that own our cooperative? They entrust us with what is most precious to them to create new and innovative products that will delight consumers and grow this beloved brand today and into the future.Team members, farmers, consumers and communities alike--we value what makes us unique and strive to connect our farms to families for a better life by living our values: G rower Mindset - We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future. Sustainable R esults - Guided by purpose, we are focused on delivering results for our grower-owners. I ntegrity Above All - We are ethical, doing the right thing for our grower-owners, customers, consumers and each other Inclusive T eamwork - We build diverse and inclusive teams that strengthen our cooperative. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. For MA Applicants - It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.

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