Lead Data Scientist
Ampleinsightinc👥 11 - 50 employees🏢 Information Technology And Services
As a Data Science Lead, you will guide clients in AI and analytics, champion projects, and design data pipelines to enhance business processes.
Customer Success Lead Data Scientist - Energy Industry Expert
🕒 13 days ago
SpotfireTableauPythonMachine Learning
📜 Description
- Collaborate with customers to translate business objectives into actionable success plans using Spotfire and data science skills.
- Develop a deep understanding of industry analytics use cases and create customer success plans.
- Act as a trusted advisor, conducting regular customer health assessments and building consultative relationships.
- Guide R&D topics in applied machine learning and AI, translating customer goals into technical objectives.
- Collaborate cross-functionally with sales, support, product management, and engineering to improve customer outcomes.
🛠️ Requirements
- 6-8+ years of data science experience using software environments and programming languages such as Spotfire, Tableau, and Python.
- Experience with data preparation and integration tools is a plus.
- Knowledge of SQL, .Net, Java, IronPython, Javascript, C++, and Generative AI is a plus.
- 6-8+ years of experience in advanced data analytics and delivery of projects.
- Strong problem-solving skills with experience in machine learning and optimization techniques.
- 6-8+ years of industry experience applying analytics to energy sector data problems.
- Excellent communication and relationship-building skills.
✨ Benefits
- Access to healthcare
- Life insurance
- Disability benefits
Full job description
Join Spotfire as a Customer Success Lead Data Scientist, leveraging your expertise in the energy industry to drive customer success and enhance analytical capabilities.
Description
- Collaborate with customers to translate business objectives into actionable success plans using Spotfire and data science skills.
- Develop a deep understanding of industry analytics use cases and create customer success plans.
- Act as a trusted advisor, conducting regular customer health assessments and building consultative relationships.
- Guide R&D topics in applied machine learning and AI, translating customer goals into technical objectives.
- Collaborate cross-functionally with sales, support, product management, and engineering to improve customer outcomes.
Requirements
- 6-8+ years of data science experience using software environments and programming languages such as Spotfire, Tableau, and Python.
- Experience with data preparation and integration tools is a plus.
- Knowledge of SQL, .Net, Java, IronPython, Javascript, C++, and Generative AI is a plus.
- 6-8+ years of experience in advanced data analytics and delivery of projects.
- Strong problem-solving skills with experience in machine learning and optimization techniques.
- 6-8+ years of industry experience applying analytics to energy sector data problems.
- Excellent communication and relationship-building skills.
Benefits
- Access to healthcare
- Life insurance
- Disability benefits
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