High - impact Data Scientist driving complex data projects leveraging AI tools at dLocal, influencing strategic decisions in payments sector.
About the role
- Data Scientist for Orion's Global Operations utilizing advanced analytics and machine learning. Collaborating across teams to optimize decision-making and support data-driven initiatives.
Responsibilities
- Explore, build and validate data sets; develop and deploy predictive machine learning models and algorithms
- Apply machine learning and statistical methods to solve complex business challenges
- Conduct exploratory data analysis to uncover patterns, anomalies, and opportunities
- Collaborate with data engineers and data analysts to access and prepare data for modeling
- Support scenario planning, simulations, and data-driven forecasting
- Communicate insights and model outcomes to both technical and non-technical audiences
- Contribute to data product development and analytics capability building
Requirements
- Minimum master's degree in data science, Statistics, Computer Science, Mathematics, or a related field.
- Strong proficiency in Python or R, and experience with machine learning libraries.
- Solid foundation in statistics, data modeling, and algorithm development.
- Experience in exploratory data analysis and feature engineering; ability to work with large and complex datasets, including both structured and unstructured data.
- Familiarity with cloud platforms (e.g., Azure, AWS) and data pipeline development; preferably knowhow with Databricks.
- Excellent communication and collaboration skills across business and technical teams.
- Experience in validation testing.
- Desired working style: Initiative, collaborative mindset, self-motivation, teamwork and adaptability.
- Fluent spoken and written Finnish and English.
- Preferred qualifications: Experience in deploying models into production environments; Knowledge of MLOps practices and tools.
Benefits
- At Orion, your work creates true impact and well-being for our customers, patients and society at large. Our culture of friendliness, respect, mutual appreciation and diversity creates a safe working environment where you can strive for excellence.
- We offer a wealth of career paths and development opportunities that support the development of innovative solutions and improving the quality of life.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist developing machine learning models to improve Ford's manufacturing processes. Collaborate with cross - functional teams to create scalable solutions in smart factories.
Data Scientist at Mercari developing machine learning models for next - gen e - commerce platforms. Collaborating with engineers and researchers in AI technologies at a Tokyo - based team.
Mid - level Data Scientist in AI & MLOps at Push Gaming. Developing predictive systems and ML models for enhancing game design and player engagement.
Mid - level Data Scientist developing AI and MLOps systems at Push Gaming. Collaborating on data - driven solutions for game design and commercial performance.
Data Scientist responsible for establishing data flows and developing insights within Novartis's Data and Statistical Sciences team. Collaborating across teams to optimize biopharmaceutical manufacturing processes and drive data - driven decision making.
Leading Data Science teams at Walmart to drive business value through advanced analytics and machine learning. Collaborating with functional teams to tackle complex business problems and deliver actionable insights.
Data Scientist intern working with R&D team at SogetiLabs, developing AI solutions for various sectors' challenges. Focus on image processing and machine learning technologies in a collaborative environment.
Data Scientist specializing in timeseries analysis at Capgemini Engineering. Innovate with machine - learning techniques for automotive technologies.
Data Scientist internship focusing on developing innovative AI solutions for diverse sectors at Sogeti Labs. Collaborating with a research team and contributing to technologically advanced projects.