Senior Data Scientist

Bunge•Chesterfield, MO

27d•Onsite

About The Position

We are seeking a highly motivated and experienced Senior Data Scientist to join our growing team. You will be a critical contributor to the Business Technology Data and Analytics team, responsible for leading the construction, optimization and maintenance of large-scale models to solve business problems and communicate the value to the business stakeholders. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives, driving significant impact throughout our global value chains.

Requirements

Post graduate degree in STEM field or Bachelor degree with a combination of years of experience as in Data Science or Computer Science, IT or a related field.
Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
3+ years of hands-on working experience / fluency in Python and SQL.
Comfortable with scripting language such as bash.
Experience writing reusable and maintainable code with version control, ability to transform a project from POC to production.
Experience building and deploying resilient data and modeling pipelines in the cloud environment.
Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer.
Creative and self-motivated. Demonstrate drive to learn new skills and solve challenging problems.
Act as a great team player in a global environment, take responsibility to consistently build better solutions both in technical quality and business impact.
Communications with project stakeholders on a regular basis.

Responsibilities

Design, create, test and implement complex modeling and algorithmic systems that drive value throughout the organization from POC to production.
Design and structure reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio.
Collaborate with various stakeholders to understand business problems and to implement scalable and sustainable solutions.
Work closely with Data Scientists, Analysts and Data Engineers to build and deliver valuable analytical solutions.
Communicates and document the design, functioning and output of the analytical models/solutions developed to a variety of audience.
Ensure timely deliverables and testing for regular maintenance of solutions over time.
Communicate data insights and value articulation to stakeholders.
Serve as a technical point of contact to product managers, business partners and collaborators.
Contribute to a culture of learning through technical mentoring and tools sharing.