Data Scientist role focusing on developing cloud-based solutions and mentoring juniors at a leading health tech firm. Engaging in cutting-edge projects to enhance healthcare data analytics.
Responsibilities
Design and implement analytical and technical solutions for complex data problems with a high degree of autonomy;
Define technical strategy: solution design, effort estimates, phases, and timelines;
Lead exploratory data analyses (EDA) to understand business scenarios, identify inconsistencies, and propose high-impact solutions;
Develop and deploy Machine Learning models (prediction, NLP, computer vision, LLMs, etc.), ensuring performance and scalability;
Define and monitor metrics for deployed models’ performance and quality;
Prepare technical presentations and results reports for stakeholders and product teams;
Serve as a technical lead and mentor for junior data scientists.
Requirements
Strong experience developing solutions in cloud environments, preferably GCP, using services such as Vertex AI, BigQuery, Airflow (Cloud Composer), Dataproc, Cloud Run, and GKE (Kubernetes);
Advanced knowledge of data modeling, statistics, machine learning, and the mathematical foundations behind AI models;
Hands-on experience working within a mature MLOps cycle: training and deployment pipelines, job orchestration, model and dataset versioning, CI/CD;
Experience with various ML modeling types: predictive models, NLP, computer vision, embeddings, LLMs;
Previous experience implementing models in production and monitoring their performance;
Software engineering best practices: clean, modular, and reusable code design.
Benefits
Food support: Meal Voucher/Food Allowance or on-site cafeteria (depending on location);
Health support: Health Insurance and Life Insurance;
Professional development: Dasa University, Development and Career Cycle, Technology Academies/PMAX, and the Crescer program within Dasa;
Other: Transportation Voucher and Performance Bonus (PPR).
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