Job Listing
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| Job ID: 14026878 |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Senior Data Scientist-R-30911 |
| Work Type: | Work Days: Weekdays, Work Vary: No , Shift: First (Day), Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Less than High School Diploma/GED |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see job description for required skills. |
| Preferred Skills: |
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| Job Description: |
Senior Data ScientistResponsibilities:Identify key business requirements that will drive the design, development, implementation, and delivery of models, quantitative analyses, and other analytical solutionsConceptualize, design, and develop analytical solutions that are stable and scalable to meet business needs using the latest technologiesPartner closely with Data Architecture, Data Management, and Data Visualization teams to build optimal analytical solutions that lead to the desired business outcomesCollaborate with and influence multiple stakeholder groups to ensure alignment with standards, guidelines and best practicesProvide thought leadership and education to business partners regarding analytic best practicesEnable analytic end-users by onboarding new end-users to the analytic platforms while providing recurring training workshops, prototype sessions and holding office hoursAid in enabling enterprise roll out of advanced analytic capabilitiesIdentify, report, and escalate risks to manager and stakeholders appropriatelyRequired experience:Advanced degree in Business Analytics, Mathematics or related discipline; or an equivalent combination of demonstrated skills or experience5 years professional experience in designing and developing analytics solutions3 years' experience in statistical programming such as Python, R, SAS, SPSS, etc.Demonstrated knowledge of statistical and analytic techniques including regression, clustering, classification, etc.Demonstrated ability to translate between business objectives and technical analyses and to communicate results and findings with non-technical business partnersExperience using traditional and modern platforms including cloud storage and compute technologiesIntermediate to Advanced SQL skillsPreferred experience/education:Master's degree in Business Analytics, Computer Science, Mathematics, Statistics, or a related discipline; or an equivalent combination of demonstrated skills and experienceAbout Land O'Lakes, Inc.Join us and be part of a Fortune 250, farmer- and member-owned cooperative that is reimagining the business of food. We have been named a Top Workplace by Indeed and LinkedIn, and to the TIME 100 Most Influential Companies list.We provide a broad portfolio of benefits to keep you and your family at your best. Land O'Lakes is Where Your Future Takes Root.Land O'Lakes, Inc. is an Equal Opportunity Employer (EOE) M/F/Vets/Disabled. The company maintains a drug-free workforce, including post-employment substance abuse testing pursuant to a Drug and Alcohol Policy.Neither Land O'Lakes, nor its search firms, will ever contact you and ask for confidential information over the phone or in email. If you receive a call or email like this, please do not provide the information being requested.Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
Refer to ID R-30911 when applying |
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