Remote NFL Data Scientist - Predictive Sports Analytics
About the Role
Swish Analytics is seeking a talented Remote NFL Data Scientist to join our innovative team. As a Remote NFL Data Scientist, you will play a pivotal role in developing predictive sports analytics data products that redefine the sports betting landscape. This position allows you to work remotely from anywhere in the USA while contributing to a fast-paced, creative environment focused on technical excellence.
What You'll Do
- Ideate, develop, and enhance machine learning and statistical models that drive Swish’s core algorithms for state-of-the-art sports betting products.
- Utilize sports-specific domain knowledge to create contextualized feature sets that improve model accuracy.
- Contribute to all stages of model development, from proof-of-concept creation to beta testing and deployment in collaboration with data engineering and product teams.
- Continuously strive to enhance model performance through rigorous offline and online experimentation.
- Analyze results and outputs to assess model performance, identifying weaknesses to direct future development efforts.
- Adhere to software engineering best practices and contribute to shared code repositories.
- Document modeling work and present findings to stakeholders and technical teams.
Requirements
- 3+ years of experience as a Data Scientist, with a focus on machine learning and statistical modeling.
- Strong programming skills in Python or R, with experience in libraries such as TensorFlow, scikit-learn, or similar.
- Experience in sports analytics or a strong passion for sports, particularly NFL.
- Proficient in data manipulation and analysis using SQL and data visualization tools.
- Ability to work independently and collaboratively in a remote team environment.
- Excellent communication skills to present complex ideas clearly to non-technical stakeholders.
Nice to Have
- Experience with cloud platforms such as AWS or Google Cloud.
- Familiarity with agile development methodologies.
- Knowledge of sports betting markets and strategies.
What We Offer
- Competitive salary ranging from $100,000 to $130,000 annually.
- Flexible remote work environment with a focus on work-life balance.
- Opportunities for professional growth and development in a dynamic industry.
- Collaborative team culture that values innovation and creativity.
- Health, dental, and vision insurance plans.
- Generous paid time off and holiday schedule.
This Remote NFL Data Scientist role at Swish Analytics offers a unique opportunity to work in the exciting field of sports analytics with a competitive salary and flexible work environment.
Who Will Succeed Here
Proficiency in Python and R for advanced statistical modeling and machine learning, with experience using libraries like Pandas, NumPy, and Scikit-learn to analyze sports data.
Strong self-discipline and time management skills to excel in a fully remote work environment, ensuring productivity and collaboration with a distributed team.
A robust analytical mindset with a proven track record of developing predictive models for sports analytics, particularly in the context of the NFL, showcasing a deep understanding of statistical techniques and data visualization tools like Tableau or Matplotlib.
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