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Sports Analytics and Predictions

Data Engineer

$100k – $160k • 0.0% – 1.0%
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The Swish Analytics team is seeking Data Engineers to have direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies.

You will:

* Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
* Build new sports betting data products and predictions offerings
Integrate large and complex real-time datasets into new consumer and enterprise products
* Develop production-level predictive analytics into enterprise-grade APIs
* Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Desired skills:

* BS/BA degree in Mathematics, Computer Science, or related STEM field
* Experience writing production level code
* Proficiency in Python (scikit-learn, pandas, NumPy, SciPy)
* Expertise in database management, preferably SQL
* Experience with NoSql databases (Cassandra, MongoDb)
* Experience building ETL pipelines
* Experience with data mining and analysis
* Experience utilizing REST APIs
* Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
* Experience with web scraping and cleaning unstructured data
* Experience with Distributed Computing
* And last but not least, a strong interest for US sports and sports betting. You love sports, particularly the NFL, NBA, MLB and NHL, and can use your knowledge of the sport to inform your work with complex datasets

Bonus points:
* Several projects on github that illustrate experience in the requirements above
* Familiarity with “Big Data” technologies
* Experience working with time series or sports data


* 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.

Working in-office at our San Francisco HQ is required.

Swish Analytics at a glance

Sports Analytics and Predictions

Swish Analytics focuses on Sports, Fantasy Sports, Predictive Analytics, and Big Data Analytics. Their company has offices in San Francisco. They have a small team that's between 11-50 employees.

You can view their website at http://swishanalytics.com or find them on Twitter, Facebook, LinkedIn, and Product Hunt.

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