Data Scientist, Data Science
OH-Ohio-Work from Home
The Data Science Advisor position will report to the Senior Manager, CRM and Analytics. This role would be responsible for developing new statistical models or other algorithms to drive increased sales through personalization.
Responsibilities
- Develops algorithms, predictive models or other mathematical approaches to solve business problems
- Implements and maintains code or algorithm in production environment
- Develops reporting that helps executives and business partners under the impact of new solutions
- Collaborates with Marketing team members and other departments to proactively identify areas where insights would enhance our knowledge of the customer and/or increase revenue
- Support analytics team with adhoc projects as requested
Qualifications
- Advanced degree in Statistics or related field preferred
- 3+ years experience in advanced analytics, statistics, or data science role preferred
- Strong programming experience with R and/or Python for statistical modeling and other machine learning applications
- Ability to clearly and concisely communicate with business partners of varying levels
- Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI)
What is expected of you and others at this level
- Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
- May contribute to the development of policies and procedures
- Works on complex projects of large scope
- Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives
- Completes work independently; receives general guidance on new projects
- Work reviewed for purpose of meeting objectives
- May act as a mentor to less experienced colleagues
Anticipated salary range: $93,500 - $133,600
Bonus eligible: No
Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- Short- and long-term disability coverage
- Work-Life resources
- Paid parental leave
- Healthy lifestyle programs
Application window anticipated to close: 12/4/2024 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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401k savings 401(k) savings plan Access to wages before pay day Access to wages before pay day with myFlexPay Dental Dental coverage Disability coverage Flexible Spending Accounts Health savings account Healthy lifestyle programs HSA Medical Medical coverage Medical, Dental and Vision coverage Paid parental leave Paid Time Off Paid time off plan Parental leave Vision Vision coverage Work From Home
Tasks- Collaborate with marketing
- Develop statistical models
- Implement algorithms
- Support analytics team
AI Analytics Data Science Deep Learning Machine Learning Pay equity Python R Reporting Sales Statistical modeling
Experience3 years
EducationAdvanced degree Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9