job summary: We are looking for a motivated individual with strong analytical skills to join our team. The Senior Machine Learning Data Scientist will be responsible for ownership, development, and support of AI/ML insights, models, and tools supporting Global Operations & Supply Chain. The goal is to help drive proactive intelligent decisions at scale with predictive / prescriptive analytics and structured analysis of broad sets of data. The candidate will work closely with the leaders to strategize, build, execute, and productionize AI/ML programs that enable insights into key drivers of strategic imperatives and operations metrics. They will empower leaders to make proactive decisions that improve business outcomes and service to our customers in a cost-effective way. The position will also promote the use of AI and ML technology to support continuous improvement with a focus on efficiency and reliability. A successful candidate will have in-depth technical knowledge of machine learning and signal processing methodologies and would take part in the full cycle of the development process which includes but is not limited to the design, implementation, debugging, testing and integration with other subsystems. The role must also act as a mentor to expand the overall knowledge of AI/ML for the entire Global Operations org. location: MOUNDS VIEW, Minnesota job type: Contract salary: $75 - 80 per hour work hours: 8am to 4pm education: Bachelors responsibilities: A Day in the Life Ideation: - Work with diverse teams to identify Advance Analytics/AI/ML opportunities that support strategic business goals - Think through business use-cases, initiate assignments, determine and pursue courses of action necessary to obtain desired insights Execution: - Work independently and as a part of large teams to implement strategic imperatives and establish operational plans for multiple Global Ops programs. Recognized master in professional discipline - Analyze, quantify, and visualize large amounts of data from multiple disparate sources to generate verifiable conclusions - Develop, inspect, transform, mine, and model data to support business processes with statistical significance, forecasting, anomaly detection, decision trees, logistic regression, probabilities, etc. Productionization: - Manage all aspects of end-to-end analytics, model execution, data accuracy monitoring, drift monitoring, model re-training, utilizing customized report building functions of systems - Maintain analytical systems, verify the accuracy of the data, and act as a liaison to the business Lead, Mentor, and Evangelize: - Partner with AI/ML practitioners inside and outside Medtronic to bring the latest best practices, tools, and techniques - Communicate data story and insights to the non-technical community, describe model outcomes to technical team. Lead and mentor other data scientists on the team qualifications: Experience level: ExperiencedMinimum 4 years of experienceEducation: Bachelors skills: Data WarehousePythonData Science (Regression)SQL Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.