Senior Data Scientist, Customer Engagement
Wellabe
full-time
Posted on:
Location Type: Hybrid
Location: Des Moines • Iowa • United States
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Job Level
Tech Stack
About the role
- Wellabe is looking for a Senior Data Scientist for Customer Engagement and Innovation to join our team
- This role leads advanced analytics and AI-driven initiatives to elevate customer experiences
- This role combines deep expertise in data science with strategic insight into customer engagement and innovation, delivering predictive models, actionable insights, and scalable solutions that drive personalization, loyalty, and satisfaction
- Working as part of a unified Customer Engagement and Innovation team, this role collaborates closely with colleagues focused on customer product development, engineering, communications, and experience
- Additionally, the Senior Data Scientist partners with enterprise IT, data and actuarial teams as needed to ensure robust, integrated solutions that support business objectives
- Develop predictive and prescriptive models to optimize customer journeys, retention, and lifetime value
- Apply NLP, sentiment analysis, and behavioral modeling to understand customer feedback and interactions
- Design metrics and dashboards to measure engagement and innovation impact
- Lead the development of GenAI, machine learning, and recommendation systems for personalized customer experiences
- Prototype and deploy algorithms for real-time personalization, conversational assistants, and engagement scoring
- Explore emerging technologies (LLMs, agentic AI) to enhance customer experience
- Define and implement data strategies for structured and unstructured customer data
- Ensure compliance with data privacy and ethical AI standards with our enterprise data teams
- Partner with communication, and engineering teams to integrate models into production systems
- Translate complex analytics into clear business recommendations for senior leadership
- Mentor data scientists and associates
- Drive best practices in experimentation, model validation, and performance monitoring
Requirements
- Master’s Degree or Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Proven track record in customer engagement analytics or CX-focused innovation
- 3+ years in data science roles, with at least 1 year in a senior or lead capacity
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Hands-on experience with Snowflake, Databricks, and Power BI
- Industry experience in healthcare, insurance, or customer-centric sectors
- Experience integrating models with Snowflake and Databricks environments
Benefits
- Hybrid availability
- 401(k) with generous, full vested company match
- Health insurance
- Paid time off, holidays
- Volunteer time off
- Lifestyle Spending Account (LSA)
- Paternal leave
- Legal insurance
- EAP
- Travel accident insurance
- Growth opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencepredictive modelingprescriptive modelingnatural language processingsentiment analysisbehavioral modelingmachine learningrecommendation systemsreal-time personalizationdata strategies
Soft skills
strategic insightcollaborationcommunicationmentoringbusiness recommendationsleadershipexperimentationmodel validationperformance monitoring
Certifications
Master’s Degree in Data ScienceBachelor’s Degree in Data ScienceMaster’s Degree in Computer ScienceBachelor’s Degree in Computer ScienceMaster’s Degree in StatisticsBachelor’s Degree in StatisticsMaster’s Degree in MathematicsBachelor’s Degree in Mathematics