About Us:

We are a leading football analytics company dedicated to revolutionizing the way football data is utilized. Our team is passionate about leveraging data to gain insights and enhance decision-making for football teams and enthusiasts. We thrive in a dynamic, fast-paced startup environment where innovation and drive are key.

Job Overview:

We are seeking a motivated and adaptable Data Scientist to join our analytics team. This role will focus on building and refining predictive models, crafting actionable insights, and contributing to our offerings in the fantasy sports and betting space. The ideal candidate has a strong background in statistical modeling, machine learning, and practical experience with fantasy sports or sports betting analytics.

This is an exciting opportunity to work on cutting-edge sports analytics, applying your expertise to real-world scenarios that impact millions of fans and professionals in the football ecosystem.

Key Responsibilities:

Model Development and Data Analysis
- Develop and refine predictive models to enhance fantasy and betting analytics, such as player projections, team outcomes, and betting line optimization.
- Conduct advanced statistical analyses and simulations to generate actionable insights for fantasy and betting strategies.
- Leverage your understanding of football, fantasy sports, and betting markets to design models that reflect the nuances of the domain.
Data Analysis and Insights Delivery:
- Translate complex data and modeling results into compelling insights tailored to stakeholders in the fantasy and betting community.
- Collaborate with stakeholders to identify key business challenges and craft data-driven solutions to address them.
- Conduct exploratory data analysis to uncover hidden trends and inform future modeling efforts.
Collaboration and Workflow Optimization:
- Partner with data engineers and other data scientists to ensure that models and pipelines are reliable, efficient, and scalable.
- Support end-to-end processes for creating, validating, and deploying models, with an emphasis on practical application in the sports domain.
- Provide input into the design of tools and dashboards that enhance stakeholder access to insights and analytics.

Qualifications:

Education: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's preferred.
Experience:
- 2+ years of experience in data science, with a strong emphasis on modeling and analytics.
- Prior experience in fantasy sports, betting markets, or sports analytics is highly desirable.
Technical Skills:
- Proficient in Python and SQL, with experience using libraries like Pandas, Scikit-learn, and PySpark.
- Expertise in statistical modeling, machine learning techniques, and simulation methods.
- Familiarity with tools like Databricks, Docker, or MLFlow is a plus, but not required.
Other Skills:
- Passionate about football, fantasy sports, or sports betting, with a deep understanding of the dynamics of these fields.
- Strong problem-solving skills and ability to work independently on challenging projects.
- Excellent communication skills, with the ability to craft compelling narratives from data for nontechnical audiences.

What We Offer:

Competitive salary and benefits package.
Opportunity to work in a cutting-edge industry with a passionate and driven team.
Flexible working environment with opportunities for remote work.
Professional development and growth opportunities.
At this time, H-1B sponsorship or transfers are not available for this role.

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