Senior CS Data Scientist - Industrial AI

Cloud Software Group; United States; On-site; USD 128,080 - 219,017; Full time

Job summary

Spotfire, a global unit of Cloud Software Group, seeks a Senior Customer Success Data Scientist to lead analytics initiatives in North America, with California preferred. You will guide customers to maximize value from Spotfire and collaborate across teams, shaping industry-leading analytics solutions.

The role emphasizes hands-on ML/AI, analytics deliverables, and customer advocacy; strong communication with stakeholders is essential, including representational duties at events.

Qualifications

• 3–5+ years of data science experience using Spotfire, Tableau, Qlikview, JMP, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake; Python/R as core languages.
• 3–5+ years of advanced data analytics delivering demos, projects, or deployed software.

Responsibilities

• Technical Strategy: translate business objectives into actionable success plans with customers.
• Trusted Advisor: build consultative relationships and advocate for customers.
• Innovation: guide R&D topics in ML/AI; create prototypes and models.
• Cross-functional Collaboration: work with sales, support, product, and engineering.
• Education and Community: engage customers in Spotfire community and events.
• Personal Development: stay updated on industry analytics trends.
• Organizational Impact: operate with limited supervision and drive results.
• Leadership and Talent Management: coach and train teammates.

Skills

Spotfire

Tableau

Qlikview

KNIME

Python

R

SQL

Data science

Education

Bachelor's degree in Computer Science/Statistics/Data Science/Engineering

Tools

Data Virtualization

Job description

Spotfire, a global unit of Cloud Software Group, seeks a Senior Customer Success Data Scientist to lead analytics initiatives in North America, with California preferred. You will guide customers to maximize value from Spotfire and collaborate across teams, shaping industry-leading analytics solutions.

The role emphasizes hands-on ML/AI, analytics deliverables, and customer advocacy; strong communication with stakeholders is essential, including representational duties at events.