Senior AI Data Scientist
Role details
Job location
Tech stack
Job description
We are looking for a highly skilled Senior AI Data Scientist who thrives at the intersection of analytics, product thinking, and innovation. The ideal candidate will be responsible for developing Data Science & ML algorithms to solve complex, real-world business problems across the team.blue group. This role requires strong analytical skills, programming and data wrangling skills, good communication abilities and up-to-date knowledge of the latest Data Science/ML/AI developments., * 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
Do you have experience in Spark?, Do you have a Master's degree?, * 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
Nice to have Skills
- Master's or PhD degree in Computer Science, AI, Machine Learning, or a related field.
- Software engineering background, ideally in backend or system integration
- Deep understanding of current DataOps & MLOps practices, deploying and monitoring models and ETL (extract, transform and load) pipelines
- Experience with AI/ML R&D
- Experience with distributed data tools (eg. Spark, Dask, Apache Arrow)