Principal Data Scientist - Optimization Leader (Chesterfield)

Overview

We are seeking a highly motivated and experienced Principal Data Scientist with strong expertise in optimization and 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.

Essential Functions

• 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.
• Establishes and implements organization, function and/or sub-function short to mid term (1-3 years) strategy. Projects/initiatives lead have impact on business on a domestic or international scale; Is recognized as an external thought leader within strategic function or discipline.
• Accountable for the results of a large and/or moderately complex project(s). Provides input on resource planning and policy development.
• Responsible for the roadmap execution and adjustment
• The problems faced are difficult and often complex and multi-dimensional. Decisions and problem-solving are guided by policies, procedures, and business plan.
• Anticipates and interprets internal or external issues and recommends solutions/best practices.
• Applies acquired expertise to analyze and solve problems without clear precedent.
• Manages operational plans, large projects and/or processes with limited oversight from manager.
• Leads and/or participates with comparable influence in large projects/initiatives; AND/OR provides leadership to professionals and support.
• Contributes to short to mid term (1-3 years) talent optimization plans to execute on strategies in job area.

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
• Proficient in data science, optimization, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills.
• Advice Business on how to structure the problems/hypotheses they want to address and convert it into a 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.
• Deep understanding in code optimization, library selection.
• Plays a significant role in developing other juniors, act as a technical consultant to product managers, and 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.

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

Nearest Major Market: St Louis

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