Data Scientist

ContentfulDenver, CO
5h

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • 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.
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