Customer Success Data Scientist
Location: Remote
Compensation: To Be Discussed
Reviewed: Wed, Aug 26, 2026
This job expires in: 25 days
Job Summary
Seeking an experienced Customer Success Lead Data Scientist with Energy Industry expertise to work remotely, focusing on driving long-term customer success, achieving high adoption and satisfaction, and developing analytical deliverables using Spotfire and advanced data science techniques.
Key responsibilities
- Develop and implement customer success plans by translating business objectives into actionable strategies while collaborating with clients
- Build consultative relationships as a trusted advisor, conducting regular health assessments to understand customer needs and navigate challenges
- Lead innovation efforts in applied machine learning and AI, creating custom solutions and prototypes for industry-specific use cases
Required qualifications
- 6-8+ years of data science experience with tools such as Spotfire, Tableau, and programming languages like Python and R
- 6-8+ years of experience in advanced data analytics and delivering complex projects in the Energy sector
- Proven ability to translate real-world problems into mathematical models and present solutions to stakeholders
- Bachelor's degree or higher in a STEM field with graduate coursework in statistics and data mining
- Proficiency in English; fluency in Spanish is a plus for interactions with LATAM customers
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