Data Scientist II
1 month ago
With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate.us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital & Technology (D&T (Digital & Technology)) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.JOB OVERVIEWFunction OverviewIn partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today and into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services & OperationsFor more details about General Mills please visit this LinkPurpose of the roleThe Global Knowledge Solutions (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value analytics work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.The Data Scientist II in this program area is expected to: take ownership of the projects, build database pipelines leveraging Google Cloud Platform (GCP), and Analyze data for trends and patterns; partner effectively with worldwide ITQ clients; create impactful analytics and visualization deliverables; and manage multiple projects independently or with guidance.KEY ACCOUNTABILITIES70%of Time-Excellent Technical Work· Independently work on projects and take ownership of the deliverables.· Data mining or extracting usable data from valuable data sources and Use machine learning/deep learning/Computer-vision tools to select features, create and optimize classifiers· Carrying out preprocessing of structured and unstructured data and Enhancing data collection procedures to include all relevant information for developing analytic systems· Analyze large amounts of information to find patterns and solutions and build visualization tool using Shiny or Dash.· Develop effective strategies for programming and data analysis based on client consultations and project briefs.· Create high-quality programs for data preparation, data cleaning, analysis, and results validation.· Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.· Create accurate and clear summary tables, visualizations, reports, and models that convey the required information and insights.· Integrating multiple systems and data sets to discover new insights.15%of Time-Client Consultation and Business Partnering· Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.· Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.· Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.10%of Time-Innovation, Continuous Improvement (CI), and Personal Development· Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.· Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.· Continually build skills and knowledge in the fields of statistics, and the relevant sciences.5% of Time-Administration· Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities.· Complete other administrative tasks as required.MINIMUM QUALIFICATIONSMinimum Degree Requirements: Masters from an accredited universityMinimum 4 years of related experience required.Specific Job Experience or Skills NeededFor the Statistics and Analytics Program Area:Good understanding of building statistical models and generating insights.Working experience in data visualization tools such R (Shiny), Dash, Tableau.Working knowledge of statistical programming software R or Python is required.Working experience in GCP is a plus.Experience in working on a project from inception to end is desirable.Experience in applying statistics to the sciences is desirable.For Global Knowledge Services:Ability to effectively work cross-functionally with internal/global team members.High self-motivation, with the ability to work both independently and in teams.Excels at driving projects to completion, with attention to detail.Ability to exercise judgment in handling confidential and proprietary information.Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.Demonstrated creative problem-solving abilities, attention to detail, ability to “think outside the box.PREFERRED QUALIFICATIONS5 years of related experiencePreferred Major Area of Study: Statistics or other sciences with strong quantitative coursework.Certifications: R, Python, SQL
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