Company DescriptionSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.Job DescriptionSwish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models.Duties:<ul><li>Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.</li><li>Develop contextualized feature sets using specific domain knowledge in soccer.</li><li>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.</li><li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation.</li><li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.</li><li>Adhere to software engineering best practices and contribute to shared code repositories.</li><li>Document modeling work and present to stakeholders and other technical and non-technical partners.</li></ul>Requirements:<ul><li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area</li><li>Demonstrated experience developing models at production scale for soccer or sports betting</li><li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods</li><li>Minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting</li><li>Experience with relational SQL & Python</li><li>Experience with source control tools such as GitHub and related CI/CD processes</li><li>Experience working in AWS environments etc</li><li>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</li><li>Excellent communication skills to both technical and non-technical audiences</li></ul>Base salary: $100,000-175,000 (encompasses multiple levels and depends on experience)<h6>Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.</h6>
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Job DescriptionSwish Analytics is looking for Senior Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.You will:<ol><li>Contribute to developing the core algorithms and mathematical models in Swish’s data products</li><li>Work with data scientists, data engineers, and software engineers to develop and support the software for new and existing machine learning products</li><li>Mentor others on the team while owning independent deliverables</li><li>Identify key metrics to measure success for new and existing data products</li><li>Perform advanced error analysis on existing products</li></ol>Desired skills:<ol><li>Advanced knowledge in Probability Theory, Inferential Statistics, Bayesian Statistics, Monte Carlo methods</li><li>Proven track record of developing state of the art machine learning models (scikit-learn/Tensorflow/MLlib)</li><li>Expert in MySQL</li><li>Expert in a scientific scripting language (Python/R)</li></ol>Bonus points:<ol><li>Sports data knowledge</li><li>PhD in related field or M.S. in Mathematics, Computer Science, or related STEM field</li></ol>Benefits:<ol><li>Health: Medical, Dental, and Vision coverage for all</li><li>Vacation: Unlimited PTO and flexibility for whatever life brings your way</li><li>Sports: Watch parties, World Series tickets, pickup basketball...and everything in between</li><li>Social: Happy Hours, weekly catered lunches, and office snacks</li><li>Play: Fantasy contests, office pick pools, and head-to-head games provide some friendly competition</li><li>Commute: With our office located just north of Jackson Square in downtown SF, we provide commuter benefits for those down the street or across the Bay</li></ol>About UsSwish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
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Job Description
Swish Analytics is looking for Senior Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.
You will:
Contribute to developing the core algorithms and mathematical models in Swish’s data products
Work with data scientists, data engineers, and software engineers to develop and support the software for new and existing machine learning products
Mentor others on the team while owning independent deliverables
Identify key metrics to measure success for new and existing data products
Perform advanced error analysis on existing products
Desired skills:
Advanced knowledge in Probability Theory, Inferential Statistics, Bayesian Statistics, Monte Carlo methods
Proven track record of developing state of the art machine learning models (scikit-learn/Tensorflow/MLlib)
Expert in MySQL
Expert in a scientific scripting language (Python/R)
Bonus points:
Sports data knowledge
PhD in related field or M.S. in Mathematics, Computer Science, or related STEM field
Benefits:
Health: Medical, Dental, and Vision coverage for all
Vacation: Unlimited PTO and flexibility for whatever life brings your way
Sports: Watch parties, World Series tickets, pickup basketball...and everything in between
Social: Happy Hours, weekly catered lunches, and office snacks
Play: Fantasy contests, office pick pools, and head-to-head games provide some friendly competition
Commute: With our office located just north of Jackson Square in downtown SF, we provide commuter benefits for those down the street or across the Bay
About Us
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

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Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is looking for a Tennis Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. </li><li>Develop contextualized feature sets using sports specific domain knowledge. </li><li>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. </li><li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation. </li><li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. </li><li>Adhere to software engineering best practices and contribute to shared code repositories. </li><li>Document modeling work and present to stakeholders and other technical and non-technical partners. </li></ul>Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area </li><li>Minimum of 1 year of demonstrated experience developing models at production scale for tennis or sportsbook at scale </li><li>Minimum of 3 years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting </li><li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods </li><li>Experience with relational SQL & Python </li><li>Experience with source control tools such as GitHub and related CI/CD processes </li><li>Experience working in AWS environments etc </li><li>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 </li><li>Excellent communication skills to both technical and non-technical audiences </li></ul> Base salary: $110,000-175,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. </li><li>Develop contextualized feature sets using sports specific domain knowledge. </li><li>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. </li><li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation. </li><li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. </li><li>Adhere to software engineering best practices and contribute to shared code repositories. </li><li>Document modeling work and present to stakeholders and other technical and non-technical partners. </li></ul>Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area; PhD highly preferred </li><li>Demonstrated experience developing models at production scale for baseball or sports betting </li><li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods </li><li>Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting </li><li>Experience with relational SQL & Python </li><li>Experience with source control tools such as GitHub and related CI/CD processes </li><li>Experience working in AWS environments etc </li><li>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 </li><li>Excellent communication skills to both technical and non-technical audiences </li></ul> Base salary: $100,000-190,000 (encompasses multiple levels and depends on experience) Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is looking for an NFL Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. </li><li>Develop contextualized feature sets using sports specific domain knowledge. </li><li>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. </li><li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation. </li><li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. </li><li>Adhere to software engineering best practices and contribute to shared code repositories. </li><li>Document modeling work and present to stakeholders and other technical and non-technical partners. </li></ul>Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area </li><li>Demonstrated experience developing models at production scale for football or sports betting </li><li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods </li><li>4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting </li><li>Experience with relational SQL & Python </li><li>Experience with source control tools such as GitHub and related CI/CD processes </li><li>Experience working in AWS environments etc </li><li>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 </li><li>Excellent communication skills to both technical and non-technical audiences </li></ul> Base salary: $107,000-175,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models. Duties: <ul> <li>Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. </li><li>Develop contextualized feature sets using specific domain knowledge in soccer. </li><li>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. </li><li>Strive to constantly improve model performance using insights from rigorous offline and online experimentation. </li><li>Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. </li><li>Adhere to software engineering best practices and contribute to shared code repositories. </li><li>Document modeling work and present to stakeholders and other technical and non-technical partners. </li></ul>Requirements: <ul> <li>Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area </li><li>Demonstrated experience developing models at production scale for soccer or sports betting </li><li>Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods </li><li>Minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting </li><li>Experience with relational SQL & Python </li><li>Experience with source control tools such as GitHub and related CI/CD processes </li><li>Experience working in AWS environments etc </li><li>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 </li><li>Excellent communication skills to both technical and non-technical audiences </li></ul> Base salary: $100,000-175,000 (encompasses multiple levels and depends on experience) Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

Job Description
Swish Analytics is looking for Senior Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.
You will:
Contribute to developing the core algorithms and mathematical models in Swish’s data products
Work with data scientists, data engineers, and software engineers to develop and support the software for new and existing machine learning products
Mentor others on the team while owning independent deliverables
Identify key metrics to measure success for new and existing data products
Perform advanced error analysis on existing products
Desired skills:
Advanced knowledge in Probability Theory, Inferential Statistics, Bayesian Statistics, Monte Carlo methods
Proven track record of developing state of the art machine learning models (scikit-learn/Tensorflow/MLlib)
Expert in MySQL
Expert in a scientific scripting language (Python/R)
Bonus points:
Sports data knowledge
PhD in related field or M.S. in Mathematics, Computer Science, or related STEM field
Benefits:
Health: Medical, Dental, and Vision coverage for all
Vacation: Unlimited PTO and flexibility for whatever life brings your way
Sports: Watch parties, World Series tickets, pickup basketball...and everything in between
Social: Happy Hours, weekly catered lunches, and office snacks
Play: Fantasy contests, office pick pools, and head-to-head games provide some friendly competition
Commute: With our office located just north of Jackson Square in downtown SF, we provide commuter benefits for those down the street or across the Bay
About Us
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

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Data Scientist Swish Analytics Jobs

Soccer Data ScientistDecember 14, 2024

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