Break down multi-domain business problems with a strong focus on return on investment and impact metrics, and think through the appropriate technical methods from POC to production
Develop solutions and extract insight from data using data science and classical machine learning methods and generative AI (GenAI)
Take ownership of developing, implementing, and automating robust data science and ML models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
Document processes, code, and findings for future reference and knowledge sharing
Requirements
8+ years hands-on industry experience solving data science and machine learning problems to address real-world business problems
Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
Ability to think through problems from fundamental principles
Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning & LLMs
Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
Expertise at telling stories with data
Strong problem-solving skills with excellent communication and documentation skills with ability to craft analysis into well-written and persuasive content
Ability to work collaboratively with cross-functional teams
Tech Stack
Pandas
Python
PyTorch
Scikit-Learn
SQL
Benefits
Everyone is welcome here
Diversity & Inclusion are at our core
Our commitment to caring for the environment and each other is at the heart of everything we do