Sports Betting Analyst

 

Company:  SimpleBet 

Location:   New York City 

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About the Company:

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SimpleBet is developing the world's simplest, most intuitive betting products - for everyone ranging from hardcore sports viewers to the casual fans. The company is also building a system of proprietary machine learning algorithms and technology systems to generate in-house pricing for our uniquely reimagined betting products, with a heavy focus on live in-game betting.

 

SimpleBet is well capitalized, and is led by a veteran team of successful entrepreneurs, executives, engineers, and data scientists with valuable experiences and relationships across sports (daily fantasy and otherwise), media, product development, and technology. 

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About the Role:

We are seeking an experienced analyst to help build our cutting-edge suite of machine learning-based sports betting products and predictive engines. You will be an integral part of the Sports Betting Analytics team. Working alongside our Data Science team, you will play a pivotal role by maximizing the value of our data and helping SimpleBet reach the growth targets set up for the coming years. 

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To excel in this role, you need first-rate problem solving skills, an interest in the sports and betting markets, as well as experience with statistics, machine learning, data structures and algorithms, and computer science fundamentals.

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Responsibilities:

• Provide key stakeholders with valuable, actionable insights pertaining to the optimization of sportsbook management

• Contribute to the development of algorithms that will be used to predict the outcome of sporting events

• Research trends in the sports and gaming industry to stay on top of new developments

• Apply statistical methods to analyze, interpret, and operationalize data with respect to risk management, finance, customer integration, evaluating problem gamblers, and GDPR.

• Promote and operationalize data-led decision making across SimpleBet

• Identify opportunities where data can make a positive impact

• Build and maintain partnerships with key industry stakeholders (e.g. professional sports leagues, data providers, operators, etc.)

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Skills:

• Bachelor’s or Master’s degree in STEM field from a top accredited university

• Significant experience in highly quantitative/analytical role utilizing large data sets

• Expertise and passion for sports and the related betting markets

• Experience in sports analytics is strongly preferred

• Understanding of programming and computer science fundamentals

• Strong knowledge of statistics and probability

• Basic understanding of machine learning algorithms

• Understanding of Python, SQL, R, or related data processing languages

• Strong command of Microsoft Excel/VBA or other data processing software

 

Expected Salary: 80k to 130k + Equity

 

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