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Swish Analytics

Data Scientist

Swish Analytics

NFL Data Scientist at Swish Analytics building predictive sports analytics data products. Ideating and improving machine learning models that drive sports betting algorithms.

Posted 7/15/2026full-timeRemote • California • 🇺🇸 United StatesJuniorMid-Level💰 $140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and improving machine learning and statistical models specifically for sports betting applications, utilizing strong analytical skills and domain knowledge. Proven ability to collaborate with cross-functional teams and communicate complex concepts effectively to diverse audiences.

Highest-signal resume keywords
Machine Learning Model DevelopmentStatistical ModelingProbability TheoryPython ProgrammingAWS Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningStatistical ModelsInferential StatisticsBayesian StatisticsMarkov Chain Monte CarloSQLData AnalyticsData ScienceModel Performance AnalysisFeature Engineering
Soft Skills
LeadershipProblem SolvingCommunication
Tools & Technologies
GitHubCI/CD ProcessesAWS
Certifications & Qualifications
Masters Degree in Data AnalyticsMasters Degree in Data ScienceMasters Degree in Computer Science
Industry Keywords
Sports BettingNFLCFBData Engineering

Tech Stack

Tools & technologies
AWSPythonSQL

About the role

Key responsibilities & impact
  • Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements

What you’ll need
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills.
  • Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences.

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Swish Analytics Website LinkedIn All Job Openings 11 - 50 employees Founded 2014 🎲 Gambling 🤖 Artificial Intelligence 🤝 B2B 💰 $6.9M Series B - Swish Analytics on 2019-05 Gambling
  • Artificial Intelligence
  • B2B Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry. Data Scientist 🔥 14 minutes ago 🏄 California – Remote 💵 $140k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners. 🎯 Requirements
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills.
  • Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Clinical Data Scientist – Research and Quality 🔥 6 hours ago Cardiovascular Associates of America - CVAUSA 51 - 200 Website LinkedIn All Job Openings Data Scientist supporting quality improvement and clinical research initiatives at Cardiovascular Associates of America. Collaborating with stakeholders to analyze data and improve cardiovascular care quality. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Product Manager – Data Enablement and Communications 🔥 10 hours ago Progressive Leasing 1001 - 5000 🛒 Retail 💸 Finance 💳 Fintech Website LinkedIn All Job Openings Product Manager for Data Enablement and Communications at Progressive Leasing. Overseeing data products and customer communication platforms with a focus on marketing and lifecycle. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Data Scientist, Marketing 🔥 10 hours ago TerminixSIS India 501 - 1000 🤝 B2B 🏢 Enterprise 📋 Compliance Website LinkedIn All Job Openings Data Scientist applying analytical skills to solve real-world business problems at Rentokil. Working with stakeholders to develop and deploy data-driven solutions and ML models. 🇺🇸 United States – Remote 💵 $103.5k - $134.6k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Data Scientist, AI/ML 🔥 12 hours ago Gremlin 51 - 200 ☁️ SaaS 🏢 Enterprise 🤝 B2B Website LinkedIn All Job Openings Data Scientist, AI/ML at Gremlin leveraging chaos engineering experiments for automated failure analysis. Collaborating with engineers to build AI-driven features enhancing system reliability. 🇺🇸 United States – Remote 💵 $220k - $290k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Manager, Strategic Partnerships – Data Centers 🔥 20 hours ago Longroad Energy 51 - 200 Website LinkedIn All Job Openings Manager of Strategic Partnerships at Longroad Energy focusing on data center development and partnerships. Supporting cross-functional teams and managing development activities in the renewable energy sector. 🇺🇸 United States – Remote 💰 $5G Funding Round on 2022-07 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs