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.

• 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.
• Monitor model performance and data quality, and update models as needed.

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong proficiency in Python (pandas, scikit‑learn, Num Py).
• 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 such as regression, classification, and clustering.
• 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.

• Familiarity with workflow orchestration or model lifecycle tools such as Airflow or MLflow at a practical level.
• Experience implementing practical model deployment approaches, e.g., batch inference or scheduled retraining.
• Experience with cloud platforms such as AWS or similar.
• Knowledge of ML Ops tools like MLflow or Airflow.
• Exposure to big data technologies such as Redshift or Snowflake.
• Experience working in agile environments.

• Join an ambitious tech company reshaping the way people build digital experiences.
• Full‑time employees receive stock options to share in company success.
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for dependents.
• Fertility and family‑building benefits, including a lifetime reimbursable wallet.
• Generous paid time off, including vacation, sick, compassion, education, and volunteer days.
• Company‑paid parental leave.
• Annual education budget for skill development.
• Virtual and in‑person events such as workshops, guest speakers, and team activities.
• An annual wellbeing stipend for physical, financial, or emotional health.
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New‑hire office equipment stipend for hybrid or distributed employees.

Final date to receive applications: 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, and certain degrees and certifications (e.g., JD/technology).

Colorado Salary: $136,000 - $184,000.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

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.

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