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Senior Data Scientist, ML solutions

Job Description - Senior Data Scientist, ML solutions

You will ...

  • 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.
  • Jump in and work with the data! 

You are...

  • 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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