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Creating data-driven analytic solutions to revolutionize the professional sports industry

Chief Data Scientist - Professional Sports

$160k – $225k • 0.75% – 1.5%
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SportsBiz is seeking an experienced, thoughtful, driven, highly motivated, and transparent leader who will spearhead the development of the company's growing suite of products, all of which are advanced data-driven analytic solutions that will transform the professional sports industry.

SportsBiz is an advanced data analytics company that deploys artificial intelligence and machine learning to remedy the vast financial inefficiencies that plague the sports sponsorship industry.

SportsBiz is a pre-revenue, pre-money startup with 15 team members who are all founding members of the Company. Those who join the team prior to the Company's expected successful multimillion raise will be entitled to all financial and material benefits granted to SportsBiz's founding members. Must have a keen understanding, appreciation, and passion for startup culture - its pace, risk, and rewards - and unceasing desire/drive to communicate vision/ideas on an ongoing basis.

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with clients. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.
Requires MA/MS in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 4 years’ experience in predictive analytics and advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent, or any combination of education and experience which would provide an equivalent background. PhD and experience in the software and/or professional sports sector preferred.

Must Have’s:

1. GitHub, Kaggle (or equivalent) public repository with portfolio of projects

2. Experience working with data – manipulating data (with Python, R, MatLab, SAS, or similar) and also building analytical models with data (predictive, exploratory, etc.)

3. Passion to experiment and try out different things, desire to be hands-on and experimental with work. Excellent communication skills – ability to explain complex topics with understandable words

4. Willingness to be a team player and collaborate across groups and functions. Willingness to be creative, self-starter and problem solver – don’t wait to be always told what to do, but be curious and willing to explore what can be done and how to solve hard problems

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