Senior Data Scientist building and maintaining forecasting models for Relay Network logistics. Collaborating with teams to drive operational decisions based on predictive models.
About the role
- Data Scientist Staff developing analytical and technical solutions for the healthcare sector. Innovating and transforming health for millions using advanced cloud technologies.
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 (predictive, NLP, computer vision, LLMs, etc.), ensuring performance and scalability;
- Define and monitor metrics for deployed model quality and performance;
- Prepare technical presentations and results for stakeholders and product teams;
- Serve as a technical guide and mentor 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 fundamentals behind AI models;
- Hands-on experience integrated into a mature MLOps lifecycle: 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 deploying models to production and monitoring their performance;
- Software engineering best practices: clean, modular, and reusable code design.
Benefits
- Meal support: Meal Allowance/Food Voucher or on-site cafeteria (depending on location);
- Health support: Health Plan and Life Insurance;
- Development support: Dasa University, Development and Career Cycle, Technology Academies/PMAX and Dasa's Crescer Program;
- Other: Transportation Allowance and Performance Bonus (PPR).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist utilizing advanced analytics technologies to empower Boeing's aviation and aerospace customer solutions. Collaborating with teams to develop leading - edge software solutions worldwide.
Games Data Scientist leveraging data to support business decisions and analytics in a talented team at Aristocrat. Working on complex data sets with the autonomy to make an impact in the gaming industry.
Data Scientist responsible for analyzing data to improve products and services at Old Mutual. Focuses on data insights, predictive analytics, and complex statistical analysis.
Senior Clinical Data Manager leading end - to - end clinical data management for global studies. Ensuring data quality and compliance, collaborating with stakeholders in a remote setup.
Senior Machine Learning Engineer tackling complex payment risk challenges for Airwallex. Collaborating with teams to deliver industry - leading model systems while implementing end - to - end ML solutions.
Integrate Sicredi's data team focusing on statistical models for credit pricing strategies to enhance product offerings. Collaborate cross - functionally and monitor credit pricing models.
Data Scientist in Sicredi developing credit concession and guarantee models. Collaborating with technology and product teams for data - driven decision making.
Analytics Senior Associate transforming ideas into tools with dashboards and web applications at athenahealth. Contributing to data analytics projects in a corporate healthcare environment.
Data Scientist at Allstate applying advanced statistical and machine learning techniques on high visibility projects. Collaborating with teams to provide clarity to uncertain business problems.