ABOUT THE ROLE
The Data Scientist - Sportsbook develops customer, odds modeling, pricing, risk, and other models to support the LeoVegas sportsbook team. The role holder will prepare, train, and deploy innovative predictive models for both batch and realtime use cases that will support business operations and directly impact the sportsbook user experience.
The role will work closely with data scientists, engineers, and analysts, but you will also work regularly with the trading/bookmaking, risk, and other sportsbook operational teams. You will be one of the early members of the team in a highly visible and impactful role as our sportsbook expands its global reach.
YOU WILL BE RESPONSIBLE FOR:
● Interpret stakeholder requirements to develop, implement, and fine-tune machine learning models that address their specific needs and business objectives.
● Improve and maintain existing machine learning models to enhance their performance, accuracy, and efficiency over time as well as following new regulations.
● Collaborate cross-functionally with various teams, including product, engineering, and business, to ensure seamless integration and alignment of machine learning solutions with overall company goals.
● Analyse and transform data using SQL to prepare datasets for machine learning model development and ensure data integrity and accuracy.
● Conduct A/B testing and other experiments to evaluate the effectiveness of new features and promotions.
● Collaborate with external parties to enable outsourced ML based applications.
● Perform advanced analysis on large and complex datasets to extract actionable insights and inform the business to make informed decisions
OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING:
ESSENTIAL SKILLS
● Understanding of fundamental concepts in statistics and machine learning
● Experience in apply machine learning, either in academia or industry
● Proficiency in programming languages such as Python or R.
● Experience with SQL
● Basic understanding of Git
NICE TO HAVES
● Experience in any of the following techniques or systems: Airflow, Bayesian statistics, BigQuery, causal inference, Docker, GitHub, Google Cloud Platform, Kubeflow, natural language processing, neural networks, scikit-learn, Stan, survival analysis, TensorFlow, time-series forecasting, Vertex AI, and XGBoost
WHO WE ARE
At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 1800 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 16 offices worldwide.
BENEFITS
● Hybrid work policy
● 4 weeks of Workation (T&C apply)
● 30 annual vacation days
● Occupational Pension
● 5,000 SEK wellness contribution annually
● Parental Leave Top-Up
● Possibility to enrol in a private health care insurance for both you and your partner
● 1,500 SEK equipment allowance
● Benify - benefits portal with many offers and discounts
● We offer a relocation package with accommodation and flights.
JOIN US!
In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen!
Would you be a good fit for the Leo Pride - give us a roar!
**As our company working language is English, we’d like to see your CV in English, please**
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LeoVegas Group is a leading international igaming company with a clear vision to create the world’s greatest igaming experience. The Group offers online casino, live casino, and sports betting via 10 brands in 10 jurisdictions. The Group continues to grow rapidly, currently employing over 1,000 people in Europe, including at its headquarters in Stockholm and operations hub in Malta.
As one of the most innovative companies in the industry, the Group also invests and develops other igaming companies through its investment arm, LeoVentures. In 2022, LeoVegas Group became a subsidiary of the global entertainment company MGM Resorts International (NYSE: MGM).
For more information, visit www.leovegasgroup.com.