Sr. Data Scientist I

About the role

This role is for a seasoned data scientist who will drive key initiatives in machine learning and statistical modeling. You will be instrumental in shaping our technical direction and ensuring the quality of our data-driven solutions.

Key facts

What you'll do

• Contribute to the technical and product direction by suggesting new ideas and estimating work.
• Translate business needs into technical solutions by working with product managers and engineers.
• Identify and address potential technical issues before they impact systems.
• Take ownership of complex projects from start to finish, including deployment and ongoing support.
• Enhance code quality through reviews and by establishing team development standards.
• Stay current with industry advancements and document technical debt with resolution plans.
• Independently resolve challenging technical problems and act as a subject matter expert.

Requirements

• A minimum of 5 years of experience in a related field, with a strong background in statistics or machine learning.
• Experience mentoring colleagues and sharing knowledge to support team growth.
• Ability to lead discussions with both technical and non-technical groups, clearly explaining project outcomes.
• Understanding of how projects impact business goals and the capacity to communicate technical plans to leadership.
• A commitment to completing challenging tasks and a willingness to handle all necessary work for team success.

Skills & tools

• Experience with AWS services such as S3, Lambda, and SageMaker for building and deploying machine learning models.
• Proficiency in Python and experience with machine learning methods including regression, classification, and optimization.
• Skill in making design decisions and providing technical guidance across different system parts.
• Experience using AI tools for rapid prototyping and defining validation for AI-generated code.
• Knowledge of product experiment design, analytics, and statistical analysis.
• Familiarity with ML frameworks like TensorFlow or PyTorch, and libraries such as Pandas and Numpy.
• Experience building model development pipelines and deploying models in production environments.

Practical notes

• Unlimited Paid Time Off.
• Medical benefits provided in accordance with local regulations.