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Motorsports Data Scientist

ALT Sports Data, Inc.
Carlsbad, CA Full Time
POSTED ON 1/21/2025
AVAILABLE BEFORE 4/21/2025

OB DESCRIPTION : Motorsports Data Scientist - Sports Betting & Data Modeling

Location :

Hybrid / Remote (Carlsbad, CA, US or UK)

Company Overview :

ALT Sports Data stands at the cutting edge of fan engagement through innovative data-driven solutions. We specialize in crafting advanced sports betting odds and markets that connect fans with sports in unprecedented ways. We are currently seeking a visionary

Motorsports Data Scientist

to spearhead our sports betting and data modeling initiatives for our Motorsports properties. If you have a deep passion for Motorsports, particularly Formula One, coupled with proven data modeling skills, this role is tailored for you!

Key Responsibilities :

Design and continuously improve probabilistic models on race outcomes, driver performance, vehicle dynamics, and track specifics for accurate predictions, both pre-race and in real time.

Utilize machine learning techniques to handle vast datasets, including telemetry, historical performance, and live race data to produce odds and markets for a full portfolio of motorsport leagues.

Analyze both historical and live race data to forecast results, detect trends, and provide industry leading odds and pricing.

Lead the development and maintenance of specialized analytics software and pipelines for motorsport data, ensuring seamless integration with real-time data streams.

Stay ahead of the curve in sports analytics technology, particularly advancements relevant to motorsport data like car sensor analytics, GPS, and simulation software.

Generate insightful reports and engaging presentations that convert complex data into actionable betting market strategies and effectively communicate insights to stakeholders with varying levels of technical expertise.

Education & Experience & Skills :

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or related quantitative fields; PhD considered for complex modeling roles.

5 years of experience in data science, with a strong preference for those with motorsport analytics and sportsbook experience.

A fervent interest in motorsports, with a comprehensive understanding of racing strategies, vehicle performance, and sport regulations, as well as a willingness to learn about new and lesser-known sports.

Deep knowledge of machine learning, predictive analytics, and time-series analysis tailored for the dynamic racing environment.

Tools :

Python (expert-level), particularly data science packages like Pandas, NumPy, Scikit-Learn, etc.

Experience with Jupyter strongly preferred

Version control tools like Git, Bitbucket, etc.

AWS knowledge / expertise highly preferred

Visualization tools like Plotly, Tableau, PowerBI, etc. highly preferred

Data / ML pipeline tools like AirFlow, MLFlow, etc. strongly preferred

Personal Attributes :

Meticulous attention to detail with a specialized focus on motorsport data metrics.

Exceptional communication skills to collaborate across teams of analysts, developers, and betting specialists.

High integrity in handling sensitive and proprietary betting data.

Compensation :

Competitive Market Base salary

Comprehensive benefits including medical / dental and a 401K match

Opportunity to share in company equity

Performance-based bonuses linked to individual and company success

Why Join ALT Sports Data?

Lead in a dynamic team pushing the boundaries of sports analytics.

Work on projects that significantly enhance the connection between motorsports, data, and fan interaction.

Enjoy a flexible work environment that fosters work-life balance and creative freedom.

Diversity & Inclusion :

ALT Sports Data is an equal opportunity employer, dedicated to fostering diversity and inclusivity in our workplace.

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Job openings at ALT Sports Data, Inc.

ALT Sports Data, Inc.
Hired Organization Address Carlsbad, CA Full Time
Company Overview : ALT Sports Data is at the forefront of redefining fan engagement through data-driven solutions. By de...

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