Description:

Fliff unpacks sports gaming into social, free-to-play games for all types of sports fans.
The company has built a social sports gaming experience that allows users to compete for leaderboard positioning, achieve badges, and build their status within the game.
Fliff is pioneering play-for-fun sports gaming, with a flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards.
The company provides sports fans with fun, engaging, and free-to-play alternatives to real money gaming.
The Data Scientist will be responsible for analyzing large datasets, developing predictive models, and providing insights that drive business decisions.
This position reports directly to the executive team and company stakeholders.
The ideal candidate should be able to work independently and collaborate with cross-functional teams to deliver high-quality work in a fast-paced environment.
Responsibilities include conducting data analysis and modeling to identify trends, developing predictive models and algorithms, integrating models into the platform, collaborating with other data scientists and stakeholders, and monitoring model performance.

Requirements:

A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field is required.
Preferably, candidates should have at least 2-3 years of experience in data science, ideally in the sports gaming industry.
A passion for sports and sports gaming is essential.
Strong programming skills in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn are required.
Knowledge of SQL and experience working with databases and data warehouses is necessary.
Candidates should have experience with machine learning algorithms and statistical models, including supervised and unsupervised learning, regression, classification, and clustering.
Strong problem-solving and analytical skills, with the ability to think creatively and outside the box, are important.
Excellent communication and collaboration skills are required, with the ability to work effectively in a team environment.

The position offers a top-tier compensation and benefits package.
There is flexibility to work remotely.
Employees have the opportunity for professional growth in a dynamic and international environment.
The work environment is informal, friendly, and encourages knowledge sharing.
The job is interesting and challenging, allowing employees to explore paths to creating successful software solutions.