Senior Applied Data Scientist

team.blue Global

21h

About The Position

We are looking for a highly skilled Senior Applied Data Scientist who thrives at the intersection of AI, 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, problem solving and data wrangling skills, good communication abilities, and up-to-date knowledge of the latest Data Science/ML/AI developments.

Requirements

8+ years hands-on industry experience solving data science and machine learning problems to address real-world business problems across multiple verticals
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 and operate with a high degree of independence and autonomy while bringing clarity to under-specified problems
Deep understanding of statistical and ML algorithms, methodologies and approaches ranging from SVMs to deep learning & LLMs
Ability to own the end to end of the lifecycle of ML/AI projects from conception to containerization
History of hands-on ownership & implementer of projects that have been put in production and made an impact
Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
Strong problem-solving skills with excellent verbal & written communication and the ability to craft analysis into well-written and persuasive content
Ability to work collaboratively with cross-functional teams

Nice To Haves

Master's or PhD degree in Computer Science, AI, Physics, Applied Mathematics, Machine Learning, or related fields.
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 across startups and enterprise firms
Experience with distributed data tools (e.g. Spark, Dask, Apache Arrow), observability frameworks (OTel)

Responsibilities

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