Sr. Data Scientist - CSAT Analytics

Unum • Portland, ME

105d • $89,400 - $183,500

About The Position

We are looking for a Senior Data Scientist to join our CSAT Analytics team, focused on uncovering insights that drive exceptional customer experiences. This role blends advanced technical skills with a deep understanding of the customer journey. You'll lead efforts to analyze structured and unstructured data - including customer survey responses, operational metrics, and touchpoint interactions - using tools like Python, SQL, and large language models (LLMs). You will work with a variety of business areas to improve CSAT outcomes and elevate the voice of the customer across the organization.

Requirements

• Bachelor's degree in quantitative field is required.
• Master's or PhD in a quantitative field is preferred.
• 6 years of professional experience or equivalent relevant work experience preferred.
• Advanced Python skills, with proficiency in packages such as Panda.
• Deep expertise in at least two of the following skillsets: Programming & Process automation, Data Visualization, Statistics & Statistical Modeling, Data Extraction, Transformation, and Loading.
• Strong communication skills and strong experience in financial services.
• Strong project management skills.

Nice To Haves

• Experience engineering solutions using cloud platforms and exposure to scaling solutions in the cloud.
• Expertise on multiple data visualization tools.
• Expertise in machine learning, feature selection, and feature extraction.
• Demonstrated expertise in their organization.
• Ability to conduct independent research and development for use internally and externally.

Responsibilities

• Leverage business expertise to design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value that contributes to the decision-making process.
• Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies.
• Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework.
• Use a broad range of techniques to construct predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering.
• Efficiently interpret results and communicate findings and potential value to influence manager leaders and business partners decisions.
• Play a lead role in integrating solutions within existing business processes using automation techniques.
• Understand theory and application of current and emerging statistical methods and tools.
• Coach, mentor and develop lower level Data Scientists.
• Perform other related duties as assigned.

Benefits

• Health, Vision, Dental insurance.
• Short & Long-Term Disability.
• Generous PTO (including paid time to volunteer!).
• Up to 9.5% 401(k) employer contribution.
• Mental health support.
• Career advancement opportunities.
• Student loan repayment options.
• Tuition reimbursement.
• Flexible work environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Insurance Carriers and Related Activities
• Education Level: Master's degree