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.
- Bachelor’s or Master’s 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.
- 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, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.
Colorado Salary: $136,000-$184,000
[This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]
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 4,200 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 [dis]ability, 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.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at [email protected] with any information you may have.
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Contentful Denver, Colorado, USA Office
1801 California St, Denver, CO, United States, 80202
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