Principal Data Scientist
Company: Bunge North America
Location: Chesterfield
Posted on: April 25, 2024
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Job Description:
Location :St. Louis MOCity :ChesterfieldState :Missouri
(US-MO)Country :United States (US)Requisition Number :33398Bunge
has an exciting opportunity available for a Principal Data
Scientist. In this role you will be part of a global team working
on challenging, meaningful projects impacting core business
activities. Since 1818, Bunge has been connecting farmers to
consumers to deliver essential food, feed, and fuel to the world.
Looking to the future, our ambition is to continuously reinvent
ourselves, leveraging data to be at the forefront of analytics,
technology and talent to accomplish our purpose in a better, faster
and simpler way. 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. Bunge offers a strong compensation and
benefits package, generous paid time off program, flexible work
arrangements, and opportunity to progress. Our hybrid work
environment provides a balance of in-office and remote work.Most
importantly, in all we do we live our values:Act as One Team by
fostering inclusion, collaboration, and respectDrive for Excellence
by being agile, innovative, and efficientDo What's Right by acting
safely, ethically, and sustainablyOverviewWe 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 FunctionsDesign, 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
solutionsCommunicates 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 adjustmentThe
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.RequirementsPhD in STEM field and 2+ years experience or 5+
years experience as Data Scientist IIWell-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-offsProficient 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 functionDevelop 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
stakeholdersHandle 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
Keywords: Bunge North America, Saint Peters , Principal Data Scientist, Other , Chesterfield, Missouri
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