Data Science Engineer

As a Data Science Engineer at Qlik, you'll be an integral part of the Global Support team, dedicated to empowering customers to deploy data science solutions using our automated machine learning platform, Qlik AutoML.

You'll play a crucial role in educating customers on data science concepts, providing hands-on training with Qlik AutoML, and helping them apply machine learning to their key business objectives.

• Cutting-Edge Technology:
  Work with next-generation automated machine learning technology to enable analysts, data scientists, and business executives to engage in and contribute to key data science initiatives.
• Impactful Work:
  Have a significant impact on customers by helping them develop self-service machine learning capabilities and apply them across high-ROI business initiatives.
• Customer Engagement:
  Interact directly with customers on a daily basis, educating them on technical aspects of machine learning and assisting in designing datasets to predict key business outcomes.
• Technology Evaluation:
  Identify, evaluate, and recommend emerging advanced analytics technologies, methods, and applications to enhance customer outcomes.

• Data Requirements Definition:
  Collaborate with customers, end-users, and technical analysts to define data requirements and structures for machine learning use cases.
• Educational Support:
  Educate customers on data science concepts and provide hands‑on training with Qlik AutoML, guiding them through the process of designing datasets and predicting key business outcomes.
• Analytics Expertise:
  Provide analytics expertise and guidance to data scientists, technical architects, and business users, enabling robust analytics capabilities and solutions.
• Descriptive Analytics:
  Develop descriptive analytics solutions for customers to prepare for predictive analytics applications, helping them derive actionable insights from their data.
• Data Engineering:
  Develop, design, and optimize complex Data Engineering queries to query and transform large datasets for use within prevalent database and BI solutions.
• Customer Support:
  Field product and use case support questions to ensure customer success, document and coordinate support tickets to the engineering team.

• Understands the fundamentals of data science and supervised machine learning
• Ability to inspect, validate, and analyze data and then interpret findings and portray them in a business-friendly context
• Provide guidance on the next steps related to Machine Learning/Data Science use cases
• Strong SQL and data engineering skills
• Experience with business intelligence platforms (ex: Qlik, Domo, Snowflake, Looker, Tableau)
• Desire to understand how data science can solve real‑world business problems
• Understanding of data modeling techniques and best practices
• Comfort and desire to interface with customers on a daily basis
• Team player

• Applied experience using data science and machine learning to solve business problems
• Strong proficiency in Python and Pandas
• Experience architecting and deploying data warehouse projects/solutions

Remote USA or Canada

Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities