Manager – Data Scientist

Strong people-management and organizational skills.
Very strong SQL skills.
Experience with big data and machine learning frameworks. Python/sklearn/pytorch strongly preferred.
Practical experience with multiple ML problem types (supervised/unsupervised, classification/regression, RL experience is a plus).
Very strong communication skills, including written communication.
Strong software development skills.
Strong problem solving and collaboration skills.
Firm understanding of statistics and A/B test fundamentals.
Deep learning/NN experience is a plus.
Experience with NLP and GenAI is a plus.
Masters or PhD degree in AI/ML, computer science, statistics, physics, applied mathematics or related field.
5+ years industry experience applying machine learning methods to solve real-world problems.
2+ years industry experience in people-management role; preferably in data science.

Collaborate closely with stakeholders to clarify and refine definition of business problems.
Lead the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification.
Meet regularly with direct reports, coaching them on project definition and execution.
Perform employee evaluations and guide direct reports in career development.
Develop and maintain DS/ML project plans.
Lead status and technical reviews.
Adapt project execution, balancing technical, cost and schedule considerations.
Facilitate regular progress reporting to stakeholders.
Maintain technical documentation, develop/deliver demos and presentations.
This is a hands-on role leading a small team. A portion of your time will be devoted to individual contribution including all phases of development including model selection, feature engineering, offline experimentation, deployment, testing, maintenance, documentation.
This is a product-oriented team. You will balance the need for short-term product solutions with the desire for longer-term sophistication.