Tactile Medical
Healthcare
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Tactile Medical. Skills: Data science, Machine learning, Predictive modeling. Build causal inference models. Develop predictive analytics”
Industry & Context.
Intellectual curiosity
What They're Looking For.
Must Have
Bachelor's degree in quantitative field, 4-7 years applied data science experience, 4-7 years machine learning experience, Experience creating predictive models for non-data-scientists, Expert-level Python skills, Expert-level SQL skills, Transform messy healthcare data
Nice to Have
Master's or PhD in quantitative field, Survival analysis experience, Salesforce data architecture familiarity, Power BI development experience, Tableau development experience
What You'll Do.
Build causal inference models
Develop predictive analytics
Train commercial team users
Communicate model pipeline status
Collect internal stakeholder needs
Manage assigned projects
How You'll Work.
Team & Collaboration
Marketing leadership; Market access leadership; Sales excellence leadership; Commercial leadership
Communication Scope
Translate technical findings
Full Job Description
At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile’s internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership. Accountabilities building causal inference models isolating incremental referral lift from specific marketing programs • Develop predictive analytics supporting payer targeting and coverage expansion opportunities • Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support • Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making • Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science or machine learning experience, applied in commercial or operational environments • Experience creating predictive models for non-data-scientists to make real commercial or operational decisions • Comfort with messy healthcare commercial data, intellectual curio
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