Data Scientist

What makes us Qlik?

A Gartner® Magic Quadrant™ Leader for 15 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 Scientist Role

As a Data Scientist on Qlik’s AI Practice team, you will design, train, and deploy machine learning models that power predictive intelligence across Qlik’s business. Reporting to the Global Head of AI Strategy, Policy, and Governance, you will work at the intersection of data engineering, applied ML, and business strategy — transforming raw signals from Qlik’s data ecosystem into models that drive measurable outcomes for customers and internal stakeholders alike.

What makes this role interesting?

• High-Impact Data: You’ll work with rich, real-world data spanning customer telemetry, product usage, renewal signals, and CRM activity — not toy datasets.
• End-to-End Ownership: From feature engineering and model training in SageMaker to production deployment and monitoring, you’ll own the full ML lifecycle on a modern AWS stack.
• Strategic Visibility: Your models will directly inform executive decision-making — from churn prediction and customer health scoring to next-best-action recommendations across a 40,000+ customer base.
• Collaborative Team: You’ll be embedded in a small, high-velocity AI Practice team with a direct line to executive leadership and cross-functional stakeholders across CS, Sales, Finance, and Product.

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

• Build and Deploy ML Models: Design, train, evaluate, and deploy supervised and unsupervised machine learning models on AWS SageMaker — including classification, regression, clustering, and anomaly detection use cases.
• Own the Feature Engineering Pipeline: Develop robust, reusable feature pipelines in Python that transform raw data from Snowflake, Qlik Cloud Analytics, and other sources into high-quality model inputs.
• Integrate with the Data Ecosystem: Connect model pipelines to Qlik Cloud Analytics, Qlik Talend Cloud, Snowflake, and Apache Iceberg, ensuring data freshness, lineage, and governance standards are met.
• Operationalize Models at Scale: Leverage SageMaker Pipelines, Model Registry, and Endpoints to bring models into production reliably — with monitoring, drift detection, and retraining workflows in place.
• Support LLM-Augmented Workflows: Collaborate with AI Systems Engineers to integrate predictive model outputs as structured signals into agentic AI pipelines deployed on AWS Bedrock.
• Translate Signals into Action: Partner with Customer Success, Sales, and Analytics stakeholders to translate model outputs into actionable insights, dashboards, and automated intervention triggers.
• Iterate and Instrument: Operate in a fast-moving incubator environment — prototype quickly, measure model performance against business outcomes, and continuously refine based on real usage signals.
• Document and Govern: Maintain clear model cards, experiment logs, and data lineage documentation in support of Qlik’s AI governance framework and ISO 42001 compliance posture.

We’re looking for a teammate with:

The ideal candidate will have hands-on experience building and shipping production ML systems, with deep proficiency in Python and the modern AWS ML stack:

• Python Expertise: Python is your primary language. You write clean, well-structured code and are comfortable owning end-to-end ML workflows — from data ingestion and EDA through model training, validation, and deployment.
• AWS SageMaker: Practical, hands-on experience with SageMaker as your primary ML platform — including SageMaker Studio, Training Jobs, Pipelines, Model Registry, and real-time or batch Inference Endpoints.
• Machine Learning Fundamentals: Strong grounding in supervised and unsupervised ML methods — gradient boosting, neural networks, dimensionality reduction, clustering, and survival/time-to-event models. Experience with frameworks such as scikit-learn, XGBoost, LightGBM, and PyTorch or TensorFlow.
• Feature Engineering and Data Wrangling: Demonstrated ability to extract, clean, and engineer features from complex, multi-source datasets using Python (pandas, numpy, PySpark) and SQL against platforms such as Snowflake or similar cloud data warehouses.
• Model Evaluation and Experimentation: Rigorous approach to model evaluation — cross-validation, holdout testing, calibration, and business-metric alignment. Experience with experiment tracking tools such as MLflow or SageMaker Experiments.
• Cloud and Infrastructure Awareness: Solid AWS experience beyond SageMaker, including S3, IAM, Lambda, and Step Functions. Familiarity with infrastructure-as-code or CI/CD patterns for ML pipelines is a plus.
• Data Platform Integrations: Hands-on experience working with Snowflake, Apache Iceberg, or similar modern data platforms as upstream data sources for ML pipelines. Familiarity with Qlik Cloud Analytics or Qlik Talend Cloud is a strong plus.

Beyond technical skills, we’re looking for someone who brings:

• Bias for Impact: You care about whether your models actually change decisions — not just whether they score well on a leaderboard.
• Strong Communication: Ability to explain model behavior, limitations, and business implications to non-technical stakeholders clearly and without jargon.
• Security and Governance Mindset: Awareness of responsible AI practices, data privacy considerations, model auditability, and the importance of reproducibility in production ML systems.
• Collaborative Spirit: Comfortable working across functions and levels, from data engineers and CSMs to the C-suite.

The location for this role is:

King of Prussia, PA or Boston MA

#LI-Hybrid

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?

• Named in Newsweek’s ‘Americas Greatest Workplaces 2025’:
• 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.

Salary and Benefits: The anticipated base salary range for this role is $125,000 USD to $150,000 USD. 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.

This position is eligible for comprehensive benefits, including - but not limited to - medical, dental, and vision coverage life and AD&D, short and long-term disability coverage, paid time off, paid parental / maternity leave, participation in a 401(k) program that includes company match, and many other additional voluntary benefits.

Application Window: The application window is 60 days, but applicants are encouraged to apply as soon as possible. The posting will be removed before the application window closes if the position is filled.

For positions in Massachusetts: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

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 email to [email protected]. Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests.

Qlik's recruitment team uses AI-enabled tools to help assess and evaluate candidates' qualifications. Any hiring decision will involve a human review, and you will not be subject to decisions based solely on automated means.

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.