Cloud Software Group

Lead Customer Success Data Scientist

Cloud Software Group

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇸🇬 Singapore

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Job Level

Senior

Tech Stack

AWSAzureJavaJavaScriptPythonSQLTableau

About the role

  • 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.
  • 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.
  • 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.
  • Collaborate with sales, support, product management, and engineering to align strategy, improve customer outcomes, resolve escalations, find sales opportunities, and provide product roadmap input.
  • Actively engage with your customers in the Spotfire community to drive adoption and enablement.
  • Contribute relevant industry and data science content.
  • Represent the team as a speaker or instructor in industry events and external conferences.
  • Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques.
  • Works to achieve operational targets with major impact on the departmental results and work is performed with limited oversight.
  • Some level of coaching and training of other employees within the job area will be involved.

Requirements

  • 6-8+ years of data science experience using software environments and programming languages e.g. Spotfire, Tableau, Qlikview, SPSS, 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.
  • 6-8+ 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.
  • 6-8+ years of Industry experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics, Financial Services, Telecommunications and Life Sciences.
  • Excellent communication and relationship-building skills are essential, including the ability to 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.
  • 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.
  • Language Skills : Proficiency in English is required. As this role involves frequent interaction with customers and partners in Korea and Japan, fluency in either Korean or Japanese (or both) is highly preferred.
  • Please note you must have full working rights for the country you are applying for. If on a work permit or visa, please make sure the details along with expiry date are included on your application.
Benefits
  • Flexible work arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningadvanced analyticsdata preparationoptimization techniquesSQLPythonRGenerative AIdata integration
Soft skills
communicationrelationship-buildingproblem-solvingcollaborationinfluencingstorytellingcoachingtrainingconsultative relationshipscustomer advocacy
Certifications
Master's degreeSTEM degreegraduate classes in statisticsgraduate classes in data mining