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.

3-5 years of professional experience in data science and machine learning development
Bachelor's or Master's degree in Statistics, Mathematics, Physics, Computer Science, or related field
Proficiency in Python, SQL, and data manipulation libraries (pandas, NumPy); experience with ML frameworks (Keras, TensorFlow, PyTorch) and scikit-learn
Strong understanding of machine learning algorithms and statistical methods, with proven ability to design, implement, and evaluate models end-to-end
Experience with cloud platforms (AWS, Azure, or GCP), version control (Git), and model deployment practices
Excellent communication and collaboration skills, with ability to translate technical findings to non-technical stakeholders
Fluent in English (written and verbal).

Platform Data Scientist

Key skills