Senior Data Scientist
Job Description
As a Senior Data Scientist, you will play a crucial role in advancing the analytics and machine learning models that enhance our data products, including Scores, Attributes, and various Data Services. You will be responsible for developing, implementing, and maintaining sophisticated machine learning models and analytical solutions that drive innovation and improve product performance. Your collaboration with Data Engineering, Product, and Tech teams is essential to ensure data-driven decision-making across the organization. This position focuses primarily on product-related tasks, rather than direct client projects, allowing you to concentrate on enhancing our data offerings. You will monitor the performance and quality of our models, engage in ad hoc analyses to support product development, and ensure the accuracy and integrity of our analytical solutions through rigorous testing and validation.
Key Responsibilities
The role encompasses a variety of key responsibilities focused on the development, implementation, and maintenance of machine learning models and analytical solutions.
- Develop and implement advanced machine learning models and analytics solutions
- Monitor the performance and quality of models and data products
- Perform ad hoc analyses to support product development and decision-making
- Collaborate with Data Engineering, Product, and Tech teams to understand requirements and implement analytical solutions
- Ensure model accuracy through thorough testing and validation processes
- Document methodologies and findings to maintain transparency
- Extract and analyze data from data lakes to support product development
- Assist Legal and Compliance teams with consumer complaints and regulatory changes
- Stay updated on industry trends and developments in machine learning
Required Technical Skills
Soft Skills
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
- Strong analytical and problem-solving abilities with a keen attention to detail
- Deep understanding of statistical methods and machine learning algorithms
- Proficiency in programming languages such as Python or Scala
- Experience with machine learning frameworks like XGBoost, PyTorch, or scikit-learn
- Knowledge of data manipulation and extraction using SQL and Spark
Language Requirements
Programming Languages:
Python, Scala, SQL, Spark
Spoken Languages:
English, German
Benefits & Perks
- ✓ High degree of autonomy in a dynamic organization
- ✓ Motivated team culture that encourages innovation
- ✓ Competitive compensation package
- ✓ Attractive employee benefits
- ✓ Flexible working hours and remote work options
Working Conditions
Full Time
Company Culture
The company fosters a culture of innovation and collaboration, emphasizing diversity and inclusion. Employees are encouraged to bring their whole selves to work and contribute to the success of the organization in a supportive and dynamic environment.
Salary Range
Project Types: Not Available
Career Growth: Professional development opportunities, Career growth potential in data science and analytics, Possibility of leading projects and teams