Our client is an international technology company with more than 80 years of experience in the betting and gaming industry. Through its flagship brand and a portfolio of partner brands, the company delivers innovative sports betting and gaming experiences to customers worldwide. With more than 750 professionals working across multiple countries, the company is investing heavily in technology, data, and artificial intelligence to support the next generation of its SaaS platform and digital products.
To lead and grow the company’s Data Science capability, we are currently looking for an experienced Data Science Manager to lead a growing team and drive the development of Machine Learning solutions that deliver measurable business impact.
This is a full-time, fully remote position based in Bulgaria. Please find more details below:
Data Science Manager
Responsibilities:
Requirements:
This position is for a company that fosters innovation and values collaboration. This resonates deeply with talaint’s core mission, and we believe it could be a compelling step forward for your career. In case you are interested in the position, please send your CV in English and we would be happy to discuss it further.
Please note that only shortlisted candidates will be contacted by our consultants.
Applying for this position, you are authorizing talaint to work and process your personal information following the Law for Personal Data Protection.
Agency license Number 2123 was issued on 04.10.2016.
To lead and grow the company’s Data Science capability, we are currently looking for an experienced Data Science Manager to lead a growing team and drive the development of Machine Learning solutions that deliver measurable business impact.
This is a full-time, fully remote position based in Bulgaria. Please find more details below:
Data Science Manager
Responsibilities:
- Leading and developing a growing team of Data Scientists through coaching, mentoring and performance management.
- Managing the complete lifecycle of Data Science projects – from idea validation and proof of concept to production deployment and continuous monitoring.
- Identifying new opportunities where Machine Learning can improve automation, operational efficiency and business performance.
- Driving the development of predictive and anomaly detection models, fraud detection solutions and responsible gaming initiatives.
- Working closely with Data Engineering to deploy, integrate and maintain production-ready ML models.
- Collaborating with Product, BI and business stakeholders to define priorities and deliver measurable business value.
- Facilitating sprint planning, retrospectives and agile delivery within the Data Science team.
Requirements:
- University degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, Data Science, Artificial Intelligence or a related field.
- Proven experience leading a small or medium-sized Data Science team.
- Previous experience delivering Machine Learning solutions into production environments.
- Excellent understanding of the entire ML lifecycle – from business problem definition through deployment and monitoring.
- Strong expertise in machine learning, statistical modelling, Python and large-scale data analysis
- Experience working with large datasets in cloud or enterprise environments.
- Good understanding of MLOps principles and collaboration with Data Engineering teams.
- Experience working in Agile environments.
- Fluent English.
This position is for a company that fosters innovation and values collaboration. This resonates deeply with talaint’s core mission, and we believe it could be a compelling step forward for your career. In case you are interested in the position, please send your CV in English and we would be happy to discuss it further.
Please note that only shortlisted candidates will be contacted by our consultants.
Applying for this position, you are authorizing talaint to work and process your personal information following the Law for Personal Data Protection.
Agency license Number 2123 was issued on 04.10.2016.
