AI Summary
Develop customer, odds modeling, pricing, risk, and other models to support the LeoVegas team. Prepare, train, and deploy predictive models for batch and real-time use cases. Work closely with data scientists, engineers, and analysts to support business operations and user experience.
Key Highlights
Develop customer, odds modeling, pricing, risk, and other models
Prepare, train, and deploy predictive models
Work closely with data scientists, engineers, and analysts
Technical Skills Required
Benefits & Perks
Hybrid work policy
4 weeks of Workation
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
Relocation package with accommodation and flights
Job Description
Description
Position at LeoVegas Group
About The Role
The Data Scientist develops customer, odds modeling, pricing, risk, and other models to support the LeoVegas 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 other 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
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
- 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
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 1900 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 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.
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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