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.
Responsibilities:
- Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models
- Participate in monitoring and evaluation of performance of existing models
- Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines
- Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients
- Implement and test the researched fixed income models using the risk research data
- Liabilities and probabilities calculations
Requirements:
- Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models
- 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant 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 statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc
- Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes
- Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch)
- Knowledge of SQL and experience with relational databases
Nice to have:
- Apache Spark
- Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
- Relevant knowledge or experience in the gaming industry
