Data Scientist

Join to apply for theData Scientistrole atSporty Group

We consistently top the charts as one of, if not the most used, Sports Betting websites in the countries we operate in.

With millions of weekly active users, we strive to be the best in the industry for our users.

As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems.

Who We Are

Sporty Group is a consumer internet and technology business with an unrivaled sports media, gaming, social, and fintech platform which serves millions of daily active users across the globe via technology and operations hubs in more than 10 countries and 3 continents.

Our success stems from discovering intelligent and energetic people who are passionate about our products and serving our users. We attract and retain them through a dynamic and flexible work environment that empowers them to create value and rewards their contributions generously.

We have built a capable and proven team of over 300 high achievers from diverse backgrounds and are seeking more talented individuals to further drive growth and innovation.

Responsibilities

Create data science solutions to address various business challenges, translating them into supervised and/or unsupervised learning problems using statistical and machine learning models.

Participate in monitoring and evaluating the performance of existing models.

Develop advanced quantitative models such as LTV models, churn models, and recommendation engines.

Collaborate with global teams of developers, traders, and product developers to understand business requirements and deliver end products.

Implement and test researched fixed income models using risk research data.

Conduct liabilities and probabilities calculations.

Requirements

Ability to design sound research methodologies and select appropriate statistical and machine learning models to solve business problems.

At least 3+ years of experience as a data scientist, quantitative researcher, or similar role.

Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering.

Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods.

Experience with models like regression, tree-based models, support vector machines, PCA, clustering, matrix factorization, deep learning, etc.

Proficiency in Python and its machine learning ecosystem (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch).

Knowledge of SQL and experience with relational databases.

Agile, action-oriented mindset.

Nice to Have

Experience with Apache Spark, cloud platforms (AWS, GCP, Azure), or industry-specific knowledge in gaming.

Benefits

Quarterly bonuses, flexible hours, top-tier equipment, referral bonuses, 28 days paid leave, annual retreats, and a supportive, multicultural environment.

Our mission is to be an everyday entertainment platform for everyone, guided by principles of value creation, long-term interests, product innovation, responsibility, integrity, privacy, stability, and passion.

Our interview process involves remote screening, take-home assignments, and interviews with team members and managers. We foster a high-performance culture with flexible hours, emphasizing results and support.

Join us and be impactful in a secure, innovative, and globally established company.

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