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
- Inform digital strategy, website development and digital technology investments through analytics and data science applications.
- Build statistical and machine learning models to uncover insights about digital customer experience.
- Apply techniques such as clustering, classification, regression, natural language processing and time series modeling.
- Leverage big data from multiple sources to build custom datasets, then visualize patterns, identify trends, and perform feature engineering / variable selection for further analysis.
- Partner with a variety of business stakeholders to analyze opportunities and trends.
- Lead the process of translating business problems into analytic projects, returning with powerful insights.
- Manage a variety of projects concurrently.
- Generate project ideas through business observations and interactions with business partners.
- Communicate findings to audiences at all levels, including senior leadership.
- Tell powerful data stories to make insights clear, influencing company strategy.
- Manage a team of experienced data scientists and analysts to deliver insightful analytics and data science projects.
- Provide coaching and mentorship to grow technical, analytic, and business skills within the team.
- Function as a subject-matter expert on the analysis of big data. End-to-end expertise required, including dataset building/cleaning/transformation, analysis/model-building, and the presentation of actionable results.
Requirements
- Masters’ or graduate degree in a quantitative field required (mathematics, statistics, engineering, data science, analytics, operations research, economics, etc.) or equivalent work experience.
- 8+ years’ analytics/data science experience with strong business acumen, preferably with an understanding of online customer behavior in the retail industry. B2B experience is a plus.
- Deep knowledge/proficiency in coding for data science and analytics applications (Python or R preferred).
- Deep experience and expertise in statistical modeling and machine learning in-industry (regression, classification, clustering, natural language processing, time-series modeling).
- Knowledge of database design and logic (e.g. Teradata, Snowflake), with demonstrable ability to build complex queries in SQL.
- Proven record of using analytics to solve business problems by developing an analytical approach, identifying necessary data sources, executing the analysis, and tying it to actionable business decisions.
- Broad business perspective with a strategic mindset and exceptional problem-solving skill.
- Demonstrated thought leadership and intellectual curiosity.
- Ability to influence decisions without authority.
- 2+ years’ experience as a people leader.
- Excellent written and verbal communication skills, with an emphasis is compelling data storytelling.
- Preferred experience in retail or B2B industries.
- Preferred experience with digital commerce and web analytics tools such as Adobe Analytics or Google Analytics.
Benefits
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
- Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
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