Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
- Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement.
- Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines.
- Collaborate with cross-functional teams, including engineering, product management and business stakeholders, to define project requirements and deliver data-driven solutions.
- Conduct advanced exploratory data analysis (EDA) to uncover insights, trends, and patterns in large and complex datasets.
- Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle.
- Evaluate and integrate new data science techniques, tools, and technologies to enhance the company’s data capabilities.
- Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations.
- Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary.
- Champion best practices in data science, including data governance, model validation, and ethical AI considerations.
- Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency.
- Lead the development of custom machine learning models and algorithms tailored to specific business needs.
- Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines.
- Pioneer peer reviews and foster a culture of continuous improvement and learning.
- Develop and enforce data governance policies and procedures to ensure data integrity and security.
- Monitor compliance with data privacy laws and regulations and implement measures to protect sensitive information.
Requirements
- Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math or Physics or a technical relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience.
- Extensive experience using systems such as SQL, Python, or R.
- Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
- Demonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to complex data sets and real-world problems.
- Demonstrated expert knowledge in data analysis methods and tools.
- Demonstrated strong and effective verbal, written, and interpersonal communication skills.
- Must be team-oriented, possess a positive attitude, and work well with others.
- Driven problem solver with proven success in solving difficult problems.
- Consistently demonstrates quality and effectiveness in work documentation and organization.
- ***Would be a plus***
- Advanced experience with structured database management systems and distributed computing.
- Expertise in time series analysis, NLP, deep learning, or reinforcement learning.
- Leadership in MLOps, model deployment, and CI/CD for data science workflows.
- Advanced understanding of A/B testing and causal inference.
- Experience working with unstructured data (text, images, audio, etc.).
- Advanced experience with data visualization tools (i.e. Matplotlib, Seaborn, Tableau).
- Experience working with cloud platforms (e.g. AWS, Azure, GCP) for data science workflows.
- Experience with real-time data processing technologies (e.g. Apache, Kafka).
Benefits
- ***Benefits to enhance your experience:***
- 24 days off each year plus extra vacation days based on years at Garmin and compensation for legal holidays.
- Health package subscription and yearly budget for glasses.
- Monthly budget for sports and wellbeing activities.
- Local and global career development programs (training, mentorship, technical and leadership development, and more).
- Access to e-learning platforms and support for technical conferences attendance.
- Loyalty bonus within the company, plus other special bonuses (for holidays and personal life events).
- Meal tickets.
- ***Yours exclusively when part of our team:***
- Significant discount for Garmin products.
- Employee stock purchase plan.
- Contribution to the retirement plan (Pillar 3).
- Garmin products available for testing and borrowing.
- A comprehensive event series championing wellbeing, sports, and community tailored to foster holistic health (featuring sports events, classes, hackathons, parties, and more).
- Other benefits which we invite you to discover along the recruitment process.
Job title
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