Principal Data Scientist

Bunge•Chesterfield, MO

1d•Onsite

About The Position

We are seeking a highly motivated and experienced Principal Data Scientist with strong expertise in optimization to join our growing team. As Principal Data Scientist, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.

Requirements

PhD in STEM field and 2+ years' experience or 5+ years' experience as Data Scientist II
Well-versed in Data Science models; Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
Have scientific and industrial maturity while delivering designs and algorithms to make and quantify cross-organization trade-offs.
Plays a significant role in developing other juniors, acts as a technical consultant to product managers, and is valued as an asset to any data science projects.
Domain expert and functional advisor for business stakeholders
Handle most of the day-to-day communications with the product owners.
Leads all internal meetings as well as weekly or fortnightly reports on the team’s progress.
Divide their project into workstreams led by Senior Data Scientists and delegate tasks efficiently. Ensure that the project is well executed, and deliverables are completed according to the timeline.
It is recommended to understand parallelization, scalability, and complexity analysis.

Responsibilities

Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.
Lead a team of data specialists.
Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance.
Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.
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.