Senior Data Scientist, ML solutions

HelloFresh
New York, NY, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence JIRA Data Visualization Python (Programming Language) Machine Learning Scrum Methodology Tableau (Software) Sql Optimization Deep Learning Information Technology Plotly
+2 more
Streamlit Framework Databricks

Job 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.

Requirements

  • 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.

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