Customer Success Data Scientist at Cloud Software Group | chakrie

Requirements

Education

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.

Additional Requirements

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 experiencein 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 experiencein 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.
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.
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.
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
that could result at a level outside of these ranges. Certain roles are eligible for additional rewards
and sales incentives depending on the terms of the applicable plan and role as well as individual performance.NY generally ranges: $128
017All other locations fall under our General State range: $128
120Benefits 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
among others. This requisition has no specific deadline for completion.

Responsibilities

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Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Everything else on this page, kept up to date and available to every member of Chakrie at no cost at all.

Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Customer Success Data Scientist

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Education

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