Candidates must me local to the Chesterfield, MO area and commute into the city three times a week . NO RELOCATION CONSIDERED.** PLEASE Only send me candidates in the Chesterfield, MO area. CANDIDATES SHOULD BE WITHIN A 1.5 HOUR COMMUTE TO CHESTERFIELD, MO**We need a Mid-senior (5+ years) Data scientist with experience to Develop, test, deploy, and help monitor analytics products and predictive models including data engineering, data analysis, and AI/ML/NLP. Candidates must have a good understanding of SQL Databases and the SQL Programming Language SQL Server/Oracle and including programming in T-SQL, PL/SQL or the like as well as Intermediate-to-Advanced level programmingNumber of years working with:Total IT experience:Years working with: Data ScientistYears working with: AI/ML/NLPYears working with: PythonJob Description:This position requires improving and supporting our applications infrastructure, writing code, analyzing data, creating models, creating ad-hoc apps/reports/dashboards, working with both internal and external customers, participating in project management and execution, and leading small individual and team projects. The Advanced Analytics team members are passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical solutions that generate tangible business results.Key functions include but are not limited to the following:Develop, test, deploy, and help monitor analytics products and predictive models including data engineering, data analysis, and AI/ML/NLP.Service the analytical needs of internal and external customers by providing high-value analysis, reports, dashboards, and/or electronic files as needed.Execute and participate in leading high-value data science projects including defining project deliverables, estimating timelines, estimating expected business value, assigning project tasks, and ensuring efficient execution and proper documentation from ideation through business integration.Help implement automated solutions to monitor and maintain the performance of the team's analytical products. Identify when model retraining or new solutions are needed.Design and execute well-documented experiments to identify novel uses of internal and external data to deliver business value.Keep up to date with AI and ML best practices as relates to MEC's initiatives and share key insights with the team.Help design, evangelize, and continuously improve group best practices.Conduct formal peer reviews of data science projects from other team members.Work on cross-functional teams within MEC and across the larger corporation to develop and implement novel analytics and data science solutions.Provide mentorship to junior team members.Create and deliver presentations to internal and external customers as needed.QualificationsBachelor's or Advanced degree in data science, computer science, mathematics, statistics, engineering, physics, or other sciences (or college degree with significant technical experience in a corporate setting).Education should include significant work in advanced mathematics, statistics, and/or data science.Undergraduate or graduate work in computer science is a plus.Requires 4 to 7 years of business experience as a data scientist or in a related field.Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques.Ability to multitask and manage assigned work under very tight deadlines.Advanced understanding of a variety of statistical and machine learning algorithms.Intermediate-to-Advanced understanding of natural language processing.History of following data visualization best practices.History of following coding best practices.Experience in breaking projects down into deliverables, setting timelines, and providing accurate status reports to management.Significant experience working with large databases for analytical purposes. This would include both transactional systems and data warehouse systems.Intermediate-to-Advanced level understanding of SQL Databases and the SQL Programming Language SQL Server/Oracle and including programming in T-SQL, PL/SQL or the like.Intermediate-to-Advanced level programming experience with Python and/or R.Knowledge of information technology practices related to data, data warehousing, ETL processes, and data mining.Understanding of project management practices and approaches including waterfall and Agile methodologies and experience with project management software such as Microsoft Team Foundation Server, Jira, Trello, etc.Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, GitHub, etc.Intermediate experience with UNIX and Docker.Excellent listening and interpersonal skills.Experience working in a team-oriented, collaborative environment.Occasional evening and weekend work to meet deadlines.#J-18808-Ljbffrby Jobble

<div> This position requires improving and supporting our applications infrastructure, writing code, analyzing data, creating models, creating ad-hoc apps/reports/dashboards, working with both internal and external customers, participating in project management and execution, and leading small individual and team projects. The Advanced Analytics team members are passionate about continuous learning and turning that knowledge into cutting-edge analytical solutions. We strive to deliver innovative analytical solutions that generate tangible business results. Key functions include but are not limited to the following: <ul> <li>Develop, test, deploy, and help monitor analytics products and predictive models including data engineering, data analysis, and AI/Client/NLP.</li> <li>Service the analytical needs of internal and external customers by providing high-value analysis, reports, dashboards, and/or electronic files as needed.</li> <li>Execute and participate in leading high-value data science projects including defining project deliverables, estimating timelines, estimating expected business value, assigning project tasks, and ensuring efficient execution and proper documentation from ideation through business integration.</li> <li>Help implement automated solutions to monitor and maintain the performance of the team's analytical products. Identify when model retraining or new solutions are needed.</li> <li>Design and execute well-documented experiments to identify Client uses of internal and external data to deliver business value.</li> <li>Keep up to date with AI and Client best practices as relates to MEC's initiatives and share key insights with the team.</li> <li>Help design, evangelize, and continuously improve group best practices.</li> <li>Conduct formal peer reviews of data science projects from other team members.</li> <li>Work on cross-functional teams within MEC and across the larger corporation to develop and implement Client analytics and data science solutions.</li> <li>Provide mentorship to junior team members.</li> <li>Create and deliver presentations to internal and external customers as needed.</li> </ul> Qualifications <ul> <li>Bachelor's or Advanced degree in data science, computer science, mathematics, statistics, engineering, physics, or other sciences (or college degree with significant technical experience in a corporate setting).</li> <li>Education should include significant work in advanced mathematics, statistics, and/or data science.</li> <li>Undergraduate or graduate work in computer science is a plus.</li> <li>Requires 4 to 7 years of business experience as a data scientist or in a related field.</li> <li>Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data, technology, and analytical techniques.</li> <li>Ability to multitask and manage assigned work under very tight deadlines.</li> <li>Advanced understanding of a variety of statistical and machine learning algorithms.</li> <li>Intermediate-to-Advanced understanding of natural language processing.</li> <li>History of following data visualization best practices.</li> <li>History of following coding best practices.</li> <li>Experience in breaking projects down into deliverables, setting timelines, and providing accurate status reports to management.</li> <li>Significant experience working with large databases for analytical purposes. This would include both transactional systems and data warehouse systems.</li> <li>Intermediate-to-Advanced level understanding of SQL Databases and the SQL Programming Language SQL Server/Oracle and including programming in T-SQL, PL/SQL or the like.</li> <li>Intermediate-to-Advanced level programming experience with Python and/or R.</li> <li>Knowledge of information technology practices related to data, data warehousing, ETL processes, and data mining.</li> <li>Understanding of project management practices and approaches including waterfall and Agile methodologies and experience with project management software such as Microsoft Team Foundation Server, Jira, Trello, etc.</li> <li>Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server, GitHub, etc.</li> <li>Intermediate experience with UNIX and Docker.</li> <li>Excellent listening and interpersonal skills.</li> <li>Experience working in a team-oriented, collaborative environment.</li> <li>Occasional evening and weekend work to meet deadlines.</li> </ul> </div>

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 worldcreating 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 growsolving 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

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Data Scientist Jobs in Chesterfield, MO

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