About Spotfire
Spotfire is now part of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire empowers businesses to their digital destinations by interconnecting everything in real time and providing augmented intelligence for everyone, from business users to Data Scientists. Our more than 10,000 customers include:
7 of the world’s top 10 Manufacturing companies
36 of the top 55 banks in Fortune’s Global 500
32 of the world’s leading Retailers
25 of the world’s leading Airlines including all of the top 5
20 of the largest 25 European companies
We're 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. We value hard work and provide new opportunities to grow, learn, and excel.
Overview
Our global Data Science team is a central part of the company strategy. The team focuses on innovation, customer, and the community of Data Scientists. A portion of the team’s creations will end up in our products to scale its impact. The team is responsible for enabling our client’s competitiveness by accelerating ROI from any data science or AI initiative.
Operating across several sectors and with a high degree of independence, our Data Scientists have helped improve performance for F1 teams, built solutions for reducing fraud in financial trading, worked with NASA medical teams, helped increase yields at some of the biggest semiconductor companies, and initiated changes in California traffic laws.
We are looking for a Data Scientist to join our team. The right candidate is seeking an opportunity to deliver hands-on prowess and thought leadership to grow our customer’s data science capabilities. You will join a team of highly collaborative individuals as a key team member and play a significant role in developing our capabilities. You will lead client conversations, represent the company at industry events and contribute to the active customer and partner community. You will lead technical projects by developing analytical deliverables using methods from exploratory analytics to machine learning, and statistical modeling. The role is in-person and based in Santa Clara, California.
Responsibilities
The position entails the following responsibilities:
Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning.
Delve deep into manufacturing, energy, or similar types of analytical and data science challenges.
Apply techniques such as machine learning, statistical analysis and predictive modeling to deliver business value.
Engage with customers through presales support and post-sales consulting analytical projects.
Perform and guide R&D topics in the field of applied machine learning and AI.
Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.
Create reusable data models, workflows and test suites in order to streamline project delivery.
Provide input into product management and engineering for the product roadmap.
Innovate in the areas of application and deployment of machine learning.
Tool Kit Development: create demos and templates with data science libraries.
Technical marketing: create white papers, blogs and content for the TIBCO user community.
Represent the team as a speaker or instructor in industry events and external conferences.
Desired Qualifications and Skills
3+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources.
Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders.
Superior storytelling skills with data. The ability to comfortably communicate with senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail.
5+ years of experience with Python or R and some knowledge of SQL. Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus.
Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Hadoop and Spark and/or further programming or scripting environments e.g. .Net, Java, IronPython, Javascript, C++ is a plus.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders
Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them.
A Master’s or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining.
Capable of working in a dynamic, fast paced environment.
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. The base salary in California generally ranges $137k-$182 (min-max). 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.