Data Scientist in Clinical Operations creating analytics and insights that enhance R&D productivity and patient centricity. Collaborating closely with stakeholders to support business needs through advanced analytics and decision support.
About the role
- Data Scientist at a banking company in São Paulo. Focused on process optimization and data analysis to enhance decision making and customer behavior predictions.
Responsibilities
- Develop models to optimize banking or merchant acquiring processes.
- Analyze large volumes of transactional data to identify patterns, trends and opportunities to improve processes.
- Implement customer segmentation and behavior prediction algorithms to increase the efficiency and personalization of services offered.
- Work closely with engineering, product and business teams to define and implement data solutions that meet client and company needs.
- Provide complex insights clearly and effectively to non-technical stakeholders, aiding strategic decision-making.
- Mentor and provide technical guidance to less senior members of the data science team.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics or a related field.
- Experience analyzing large volumes of data to generate insights for business teams.
- Experience with data analysis tools and programming such as SQL, Python, R or machine learning libraries (TensorFlow, PyTorch, Scikit-Learn, etc.).
- Ability to solve complex problems in a creative and innovative manner.
- Knowledge of code versioning processes (Git, GitHub).
- Ability to translate business teams’ questions and needs into requirements for analyses.
Benefits
- Health and wellness
- Flexible working hours
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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