Data Scientist

Bunge; São Paulo; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

An established industry player is seeking a Lead Data Scientist to drive optimization initiatives and analytical solutions. In this role, you will leverage your expertise in machine learning and data analysis to create innovative models that solve complex business problems. You will work collaboratively with cross-functional teams to ensure data-driven decision-making and contribute to impactful projects. If you are passionate about using data to drive business success and thrive in a dynamic environment, this opportunity is perfect for you.

Qualificações

• Proficient in Python or R with strong analytical skills.
• Experience in optimization modeling and machine learning methods.

Responsabilidades

• Design and implement complex models for analytical solutions.
• Collaborate with teams to deliver sustainable data solutions.

Conhecimentos

Python

R

Machine Learning

Data Analysis

Optimization Modeling

SQL

Analytical Skills

Teamwork

Communication Skills

Formação académica

Postgraduate degree in STEM

Bachelor's degree with 5-7 years experience

Descrição da oferta de emprego

Location: BAL - SEDE

City: Sao Paulo

State: São Paulo (BR-SP)

Country: Brazil (BR)

Requisition Number: 38806

We are seeking a highly motivated and experienced Lead Data Scientist with strong expertise in optimization to join our growing team. As Lead Data Scientist, you will be responsible for leading the construction of optimization models to solve business problems and communicate the result to the business stakeholders. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives. Bunge is committed to operating and thriving in the digital world – creating world-class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed.

At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Most importantly, in all we do we live our values:

• Act as One Team by fostering inclusion, collaboration, and respect
• Drive for Excellence by being agile, innovative and efficient
• Do What's Right by acting safely, ethically, and sustainably

Overview:

The Data Scientist applies strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engine and services. The data scientist collaborates with translators to define technical problem statements and hypotheses to test; develops efficient and accurate analytical models that mimic business decisions.

Responsibilities:

1. Design, create, test and implement complex models and algorithms that drive analytical solutions throughout the organization.
2. Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.
3. Collaborate with translators and understand business problems to implement scalable and sustainable solutions.
4. Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions.
5. Support translators in communicating the design, functioning, and output of the analytical models/solutions developed.
6. Ensure timely analysis and testing for regular maintenance of solutions over time.

Qualifications/Requirements:

• Postgraduate degree in STEM field or Bachelor’s degree with 5-7 years of experience as Data Scientist II.
• Proficient in programming languages like Python or R.
• Strong foundations 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.
• Deep understanding of Database designs. Prior coursework is a plus.
• Creative & innovative thinking; demonstrating drive to solve problems.
• Act as a great team player and pitch new ideas, take responsibility to improve code quality and impact.
• Has optimization background or at least 3 years of experience with optimization modeling.
• Has at least 1 year of experience in coordinating technical teams.
• Proficient in data science, optimization, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills.
• Can translate business needs into optimization components (e.g., Constraints, penalties, and objective function).
• Develop business awareness of use cases and help them to understand the necessary concepts of data science and optimization to ensure better communication across functions.

Bunge (NYSE: BG) is a world leader in sourcing, processing, and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled