Senior Data Scientist

Bunge Iberica SA; São Paulo; Presencial; BRL 150 000 - 200 000; Tempo integral

Resumo da oferta

Bunge Iberica SA is seeking a highly motivated and experienced Senior Data Scientist in São Paulo, Brazil to join their team. This role focuses on developing optimization models for business solutions, collaborating with cross-functional teams to identify data analytics initiatives. The ideal candidate holds a PhD in STEM, has expertise in Python and R, and possesses profound knowledge in data science and machine learning.

The successful applicant will also mentor associates, influence stakeholders, and drive innovation within the organization.

Qualificações

• PhD in STEM field with research experience in Data Science.
• Experience as Lead Data Scientist with 3-5 years in the field.
• Expert in programming languages like Python or R.

Responsabilidades

• Drive the construction of optimization models to solve business problems.
• Design, create, test, and implement complex models and algorithms.
• Collaborate with business analysts to implement scalable solutions.
• Coordinate with teams to deliver holistic analytical solutions.
• Communicate data insights to stakeholders.

Conhecimentos

Data science

Optimization

Machine learning

Python

R

SQL

Data analysis

Analytical skills

Teamwork

Communication skills

Formação académica

PhD in STEM field

Postgraduate degree in STEM field with 3-5 years' experience as Lead Data Scientist

Ferramentas

Python

R

Descrição da oferta de emprego

Senior Data Scientist

Role Purpose Statement

We are seeking a highly motivated and experienced Senior Data Scientist with strong expertise in optimization in supply chain to join our growing team. As Senior Data Scientist, you will be responsible for driving the construction of optimization models to solve business problems, communicate to the technical team, and assure the delivery matches business expectations. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.

Main Accountabilities

Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.

Gives technical support for data scientists across multiple squads.

Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.

Define development standards and solution approach.

Design and structure reusable codebase

Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions

Communicates the design, functioning and output of the analytical models/solutions developed

Ensure timely analysis and testing for regular maintenance of solutions over time

Communicate data insights to stakeholders.

Knowledge and Skills

Make decisions aligned to Bunge’s global strategy, business needs and financial goals and explore new perspectives by driving innovation.

Cultivate strong relationships and networks, effectively influence others, and develop talent to excel in their current and future roles.

Develop data driven strategies aligned with Bunge’s priorities, energize others to action through clear and compelling communication.

Proficient in data science, optimization, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills.

Can help business structure the problems/hypotheses they want to address and convert it into an advanced analytics approach including machine learning and optimization components (e.g., Constraints, penalties, and objective function)

Develop business awareness of possible use cases and help them to understand the necessary concepts of data science and optimization to ensure better communication across functions.

Education & Experience

PhD in STEM field with research experience in Data Science or experience Post graduate degree in STEM field with 3-5 years' experience as Lead Data Scientist

Expert in programming languages like Python or R

Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.

Avoid greenhorn mistakes, avoid logical flaws in the models, revisit high-performing systems, write reusable code, build resilient data pipelines in the cloud environment, and prepare immaculate data.

Capable of mentoring Associates and other Data scientists and answer business questions to higher authorities and management.

Model behavior as a great team player and teach new ideas.

Communications with the project stakeholders on a regular basis