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Remote role, popular ML role, and metro location increase applicant density.
Applied ML for sales and churn is transferable across industries but requires GTM domain knowledge.
Explicit 10+ years and mandatory applied ML experience create strict shortlisting filters.
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Drive growth and customer retention by developing and deploying machine learning models focused on cross-sell, upsell, product recommendations, and churn prediction.
Collaborate with Sales, Customer Success, and Go To Market teams to translate business goals into data-driven strategies and automated reporting/visualizations.
Lead analytics lifecycle from data analysis to solution integration, and mentor junior data science team members.
Bachelor's degree required.
8+ years of data science experience (or 10+ years total experience).
Strong programming skills in Python or R; proficient in SQL and data visualization tools like Tableau.
Experience with Applied AI, machine learning, statistics, propensity modeling, churn prediction, and recommender systems.
Experienced in leveraging data science specifically to impact Sales and Customer Success strategies.
Able to effectively communicate technical insights to both technical and non-technical stakeholders.
Demonstrated ability to operate in dynamic environments and work both independently and collaboratively.