Senior Data Scientist
Posted 6hrs ago
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Job Description
Senior Data Scientist using machine learning and predictive modeling to improve team.blue’s digital services for 3.3 million European customers. Building data strategy, pipelines, and actionable insights with business, product, and engineering teams.
Responsibilities:
- Understand key business challenges and opportunities and develop data-driven solutions aligned with strategic objectives
- Collaborate with leadership to define the data science roadmap and priorities
- Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes
- Analyze large, complex datasets to extract actionable insights
- Present findings to technical and non-technical stakeholders
- Advise, build, and continuously improve the data science pipeline for team.blue’s analytics needs
- Collaborate with business leaders, product teams, and engineers to ensure data solutions meet business requirements
- Stay current with trends in data science, AI, and machine learning to improve team capabilities
- Translate complex data into business value and influence organizational decision-making
Requirements:
- Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- 5+ years of experience in data science
- Proven track record of solving complex business problems using data
- Strong understanding of business operations and ability to align data science projects with business objectives
- Ability to translate technical insights into business recommendations
- Ability to communicate with stakeholders at all levels
- Strong analytical thinking and problem-solving ability
- Ability to handle complex and unstructured data
- Proficiency in Python, R, or Scala
- Experience with machine learning frameworks such as TensorFlow and Scikit-learn
- Experience with SQL and large datasets
- Familiarity with cloud platforms such as AWS or Azure
- Familiarity with big data tools such as Hadoop or Spark
Benefits:
- Commitment to diversity and inclusion
- Respect, openness, and trusted collaboration
- ESG and sustainability initiatives




















