Customer Success Data Scientist

Cloud Software Group; California (MO); On-site; USD 146,011 - 219,017; Full time

Job summary

Cloud Software Group, via Spotfire, seeks a Senior Customer Success Data Scientist to drive long‑term customer success across the North America region, with a preference for California. You will translate client goals into value, foster adoption, and collaborate with Spotfire teams to maximize impact.

You will apply exploratory analytics, machine learning, and AI to deliver analytical deliverables, engage with senior stakeholders, and represent Spotfire at industry events, building a thriving

Qualifications

• 3–5+ years in data science with analytics delivery.
• Experience applying ML to large, complex data sources.
• Industry experience in Manufacturing, Energy, Transportation & Logistics, or Life Sciences.
• Excellent communication and stakeholder relationship skills.

Responsibilities

• Translate customer objectives into success plans and onboarding strategies.
• Act as trusted advisor and build long‑term customer advocacy.
• Guide ML/AI initiatives and develop prototypes for industry use cases.
• Collaborate with sales, support, product management, and engineering.

Skills

Spotfire

Python

SQL

Generative AI

Java

C++

Education

Bachelor's or higher in CS/Stats/DS/Eng

Tools

Tableau

Qlikview

JMP

KNIME

Dataiku

Databricks

Snowflake

Azure

AWS

Job description

About Spotfire

Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire combines visualizations and advanced analytics to allow experts in their field to find industry‑specific solutions the human mind or computers can’t solve alone. Our more than 10,000 customers include:

• Majority of the top 10 Energy companies in the world
• Majority of the top 10 Life Sciences companies in the world
• 7 of the world’s top 10 Manufacturing companies
• Several other major companies in banking, retail, and airlines

We are looking for people with a passion to make a big difference by doing the job they love – dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation‑driven environment.

Overview

Our global Customer Success team is a central part of the company strategy. The team focuses on customers, innovation, and the community of scientists, engineers, and data scientists. The team is responsible for guiding customers to successfully adopt and maximize value from their investment in Spotfire.

Operating across several sectors, our Customer Success Data Scientists have helped improve the drilling operations of several energy companies, increase yield at some of the biggest semiconductor companies and ensured on‑time deliveries of well known global logistics companies.

We are seeking a Senior Customer Success Data Scientist to join our team in the North America region. California is preferred, and we will consider US West Region; Arizona, Oregon, Washington. This role is ideal for a candidate with proven expertise in the High Tech Manufacturing Industry and a strong passion for Industrial AI and Analytics and Visual Data Science.

In this role, you will be the driving force behind long‑term customer success for a portfolio of clients, responsible for achieving high adoption, retention, and satisfaction. You will serve as a trusted advisor to all customer stakeholders and act as the key liaison between the customer and internal Spotfire teams.

The successful candidate will leverage their hands‑on prowess and thought leadership to significantly grow our customers’ analytical capabilities using Spotfire. A key part of the role involves developing analytical deliverables, employing methods from exploratory analytics to machine learning, statistical modeling, and AI.

Joining a highly collaborative team, you will deliver outcomes that enhance both product and account health. Furthermore, you will have exciting opportunities to represent Spotfire at industry events and contribute to our active customer and partner community.

Responsibilities

• Technical Strategy – Use Spotfire and data science skills to collaborate with customers, translating their business objectives into actionable success plans. Develop a deep understanding of industry analytics use cases. Customer Success plans include onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence.
• Trusted Advisor – Aware of industry context and understanding customer needs through regular customer health assessments you can build consultative relationships and act as trusted advisor helping navigate challenges and building long‑term customer advocacy.
• Innovation – Perform and guide R&D topics in the field of applied machine learning and AI. Translate customer business goals into technical objectives and help create custom solutions for industry use cases, providing guidance, and building prototypes. Projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.
• Cross‑functional Collaboration – Collaborate with sales, support, product management, and engineering to align and support strategy, improve customer outcomes, help resolve escalations, find sales opportunities, and provide product roadmap input. This involves gathering and sharing detailed information, analysis, and investigation to address numerous, often undefined, problems and requests.
• Education and Community – Actively engage with your customers in the Spotfire community to drive adoption and enablement. Contribute relevant industry and data science content. Represent the team in industry events and external conferences.
• Personal Development – Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques.
• Organizational Impact – works to achieve operational targets with major impact on the departmental results and work is performed with limited supervision.
• Leadership and Talent Management – Some level of coaching and training of other employees within the job area will be involved.

Qualifications

• 3-5+ years of data science experience using software environments and programming languages e.g. Spotfire, Tableau, Qlikview, JMP, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake, and for program languages Python, R. Experience with other software components for data preparation and integration e.g. Data Virtualization is a plus. Knowledge of SQL, .Net, Java, IronPython, Javascript, C++ and knowledge of Generative AI is a plus.
• 3-5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Problem‑solver with experience applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources.
• 3-5+ years of Industry experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics and Life Sciences. Able to formulate a real‑world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solutions, validate the results and present the results to stakeholders.
• Excellent communication and relationship‑building skills are essential, including the ability to pro‑actively influence and cultivate long‑term relationships with internal and external stakeholders, such as customers' senior technical personnel. Must provide compelling software demonstrations and apply domain knowledge to analytical applications, communicating complex technical concepts to non‑technical audiences using storytelling.
• Collaboration skills - strong ability to work effectively in an internal and customer team environment and to manage multiple projects to a good final outcome.
• Bachelor's or higher degree in Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study with graduate classes in statistics and data mining.
• Language Skills: Proficiency in English is required. As this role involves interaction with customers and partners in Latin America as well, fluency in Spanish or Portuguese is a plus.

Please note you must have full working rights for the United States. If on a work permit or visa, please make sure the details along with expiry date are included on your application.

Compensation may vary depending on your location, qualifications including job‑related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. NY generally ranges: $128,080-$192,120 CA generally ranges: $146,011-$219,017 All other locations fall under our General State range: $128,080-$192,120. Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. This requisition has no specific deadline for completion.

Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications.

Cloud Software Group will consider qualified applicants with a criminal history and conduct the recruiting process in accordance with the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers and San Diego Fair Chance Ordinance. For access to the laws see the following links: California FCA and Los Angeles FCO.