Data Scientist

About the opportunity

We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems design analytical solutions and deploy data products that scale.

What to expect

• Collect clean and analyze structured and unstructured data.
• Develop predictive models statistical analyses and machine learning algorithms.
• Build dashboards reports and data visualizations to communicate insights.
• Collaborate with engineering to deploy models into production environments.
• Perform exploratory data analysis (EDA) to identify trends and opportunities.
• Conduct A/B testing and design experiments to measure feature performance.
• Document methodologies and ensure reproducibility of analytical work.
• Contribute to end-to-end machine learning workflows including model training validation and deployment working with established tools and patterns and with support from engineering.
• Monitor model performance and data quality and update models as needed.

What do you need to be successful

Required

• Bachelors or Masters in Data Science Computer Science Statistics Mathematics or related field.
• Strong proficiency in Python (pandas scikit-learn NumPy).
• Experience using SQL to work with analytical databases and data warehouses.
• Solid understanding of statistical modeling model evaluation and experimental methods.
• Familiarity with machine learning techniques (regression classification clustering etc.).
• Hands-on experience building and running machine learning models in production or production-like environments.
• Experience building dashboards with tools like Tableau or similar.
• Strong analytical and problem-solving skills.
• Ability to balance analytical rigor with practical delivery.
• Excellent communication skills with the ability to translate data insights into business actions.

Preferred

• Familiarity with workflow orchestration or model lifecycle tools (e.g. Airflow MLflow) at a practical working level.
• Implement practical model deployment approaches (e.g. batch inference scheduled retraining) using existing team tools and patterns.
• Experience with cloud platforms (AWS or similar).
• Knowledge of ML Ops tools (MLflow Airflow or similar).
• Exposure to big data technologies (Redshift Snowflake).
• Experience working in agile environments.

Whats in it for you

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents.
• Fertility and family building benefits including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off including vacation days sick days compassion days for loss education days and volunteer days
• Company paid parental leave to care for and focus on your growing family
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events including workshops guest speakers and fun team activities supporting learning and networking exchange beyond the usual work duties
• An annual wellbeing stipend to care for your physical financial or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

The application deadline is 03/21/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity internal salary ranges market data/ranges applicants skills and prior relevant experience certain degrees and certifications (e.g. JD/technology) for example.

Colorado Salary: $136000-$184000

This position is eligible for equity awards in accordance with the terms of Contentfuls equity plans.

Who are we

Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging personalized content at scale. By blending composability with native AI capabilities Contentful enables dynamic personalization automated content delivery and real-time experimentation powering next-generation digital experiences across brands regions and channels for more than 4200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful working from hubs in Berlin Denver San Francisco London New York and distributed worldwide.

Everyone is welcome here!

Everyone is welcome here is a celebrated component of our culture. At Contentful we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race color national origin religion sexual orientation gender gender identity age physical disability or length of time spent unemployed. We invite you to apply and join us!

If you need reasonable accommodations at any point during the application or interview process please let your recruiting coordinator know.

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