Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;

Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;

Establish efficient, automated processes for large-scale modeling;

Become part of a highly skilled and geographically distributed team;

Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;

Strong sense of ownership, urgency and drive.

8+ years of professional experience in data science and machine learning development, with demonstrated track record of delivering transformative, organization-wide ML solutions

Master's or PhD in Statistics, Mathematics, Physics, Computer Science, or related field strongly preferred

Expert-level proficiency in Python, SQL, and the full ML/data science ecosystem; recognized technical authority in ML frameworks, algorithms, and system design

Deep expertise in machine learning algorithms, statistical methods, ML system architecture, and emerging AI technologies, with proven ability to architect and scale complex ML systems across the organization

Extensive experience architecting end-to-end ML platforms, MLOps infrastructure, and production systems on cloud platforms (AWS, Azure, or GCP)

Strong experience with big data technologies (Spark, Hadoop), distributed computing systems, and performance optimization at scale

Proven technical leadership with ability to set data science standards, mentor senior data scientists, and drive technical strategy across multiple teams

Demonstrated ability to identify and solve ambiguous, high-impact problems that align with business objectives

Exceptional stakeholder management skills with ability to influence executive-level decision-making and shape product/business strategy

Fluent in English