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# Senior Data Scientist, ML solutions

- **Company:** HelloFresh
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, JIRA, Data Visualization, Python (Programming Language), Machine Learning, Scrum Methodology, Tableau (Software), Sql Optimization, Deep Learning, Information Technology, Plotly, Streamlit Framework, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5120797979

## About the Role

* Results-driven - You love transforming data into meaningful outcomes, and always drive action from your learnings
 * Intellectually curious - You love to understand why things are the way they are, how things work, and challenge the status quo
 * A team player - You favor team victories, and take pride in helping others to achieve their potential
 * Agile - You thrive in fast-paced and dynamic environments and are comfortable working autonomously

At a minimum, you have...

 * Degree (Ph.D., MSc, BSc) in a quantitative field such as Statistics, Mathematics, Operations Research, Econometrics, Computer Science, or Engineering
 * 6+ years proved track record building Machine Learning / Statistical Models within e-commerce digital businesses.
 * Proven track record writing production-grade ML applications in Python.
 * Proficient using advanced SQL, techniques.
 * Proficient using visualization tools such as Tableau, Dash/Plotly, or Streamlit.
 * Deep understanding of advanced ML and statistical concepts (e.g. Deep Learning, Bayesian statistics). Experience using PyMC3 and Databricks is a plus.
 * Experience with agile methodologies like Scrum & Kanban and proficiency in using project management tools. Jira preferred.

## Description

* Devise and build world-class Data Science products. Shape the vision and strategic roadmap of ML & AI within the company.
 * Drive innovation and best practices and enable adoption of those capabilities across the data science community
 * Provide coaching and team member development, and get actively involved in supporting team members in the technical development of models and analysis
 * Translate business needs into clearly scoped data science projects, and take a hands-on approach to steer solution design and implementation.
 * Analyze results of experiments involving data science and ML models.
 * Prepare technical presentations for stakeholders and upper management.