Manager- Data Scientist

Job Title: Manager Data Scientist B13, PM

• Lead a team of 1-3 data scientists working across agile pods
• Lead your team in complex data science projects, working closely with stakeholders to identify opportunities and develop solutions that drive business value.
• Develop, test, and deploy predictive models using machine learning and statistical techniques
• Collaborate with stakeholders to identify opportunities and design solutions
• Explore and analyze large datasets to inform business decisions
• Create repeatable, interpretable, and scalable models and statistical products
• Engineer new features and test various modeling approaches to develop industry-leading analytics products
• Contribute to the development of our data science capabilities and best practices
• Communicate complex technical concepts to non-technical stakeholders, including data insights and recommendations
• Stay up-to-date with industry trends and emerging technologies in data science, making recommendations for how to leverage these advancements to drive business growth
• Coach and develop your team, driving technical best practices and contributing to their career growth within data science

Requirements:

• Bachelors degree in Data Science, Computer Science, Engineering, or Statistics
• 5+ years of applied experience in data science or related field
• Expertise in implementing ML and AI algorithms in Python and/or R
• Fluency in SQL
• Strong understanding of machine learning, data wrangling, and exploratory analysis
• Ability to work collaboratively with stakeholders to deliver high-impact results
• Excellent communication and problem-solving skills

Preferred Qualifications:

• Masters degree in Data Science, Computer Science, Engineering, or Statistics
• Prior people management experience
• Experience with Big Data technologies such as Snowflake and Spark
• Experience with cloud-based technologies such as Azure
• Familiarity with Agile development methodologies
• Experience working in a cross-functional team environment
• Expertise with the following modeling methods: Design of Experiments, ANOVA, multivariate regression, discrete and continuous optimization, survival analysis, discrete event simulation