Job Description
You're responsible for:
- Understanding business context and gathering requirements
- Proactively identify the most impactful opportunities to shape product roadmaps
- Building reliable, efficient, and scalable models for our AI/ML capabilities
- Creating robust data pipelines to feed analyses and models
- Ensuring data quality and data integrity through best practices in data integration
- Analyze and evaluate the impact and effectiveness of models in production systems
- Mentoring more junior data scientists on the team
You bring:
- Bachelor’s Degree plus 8 years of experience in data science or data engineering, or Master’s Degree plus 5 years in data science, Or PhD plus 3 years of experience in Data Science
- Experience using statistical modeling and machine learning techniques to solve business problems
- Experience leading end-to-end machine learning and data science projects.
- Strong SQL and Python skills
- At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, NumPy, and/or distributed data processing systems like spark
- At least 3 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
- At least 3 years of experience working with cloud-based data engineering and data science tools.Â
- Experience with MLOps and model deployment pipelines
- Experience building models in a marketplace environment
- Experience with pricing models preferred
- Experience with logistics is nice to have, but not required
- Experience with combinatorial optimization methods is nice to have but not required
Date Posted
10/31/2023
Views
2
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