Data Science Engineer

What makes us Qlik?

A Gartner® Magic Quadrant™ Leader for 13 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster.

We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.

The Data Science Engineer Role

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.

What makes this role interesting?

• 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.

Here’s how you’ll be making an impact:

• 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.

We’re looking for a teammate with:

• 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

Preferred skills:

• 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  

The location for this role is:

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!

More about Qlik and who we are:

Find out more about life at Qlik on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page.

What else do we offer?

• Genuine career progression pathways and mentoring programs
• Culture of innovation, technology, collaboration, and openness
• Flexible, diverse, and international work environment

Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs

The anticipated base salary range for this role is $80,000 MIN to $124,000 MAX. Final compensation offered by Qlik will be based on factors such as the candidate’s location, job-related skills, education, experience, and other business and organizational needs. Qlik offers a comprehensive benefits package.

Qlik is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a workplace that is diverse, equitable and inclusive.

Qualified applicants will receive consideration for employment without regard to actual or perceived: race, color, religion, sex, sexual orientation, gender identity, pregnancy and related medical conditions, genetic information, national origin, age, marital status, protected veteran status, disability status or any other characteristic protected by applicable law. For United States applicants and employees, go to the US Department of Labor’s website to review the Equal Employment Opportunity Posters, including the “Know Your Rights” and “Pay Transparency Nondiscrimination” posters.

If you need assistance applying for a role due to a disability, please submit your request via accessibilityta@qlik.com. Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests. Click here for machine-readable files related to Qlik’s US group health plan offerings that are being made available in response to the US federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to access and analyze data more easily.

Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.