What are the responsibilities and job description for the Senior Analyst, Data Science/Artificial Intelligence and Machine Learning position at The Scotts Company Llc?
Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply!
Summary :
The Data Scientist will support our research, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Key Responsibilities :
- Select and employ advanced statistical learning models to obtain actionable insights.
- Cross-validate models to ensure their generalizability.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Suggest ways in which insights obtained might be used to inform business strategies.
- Actively engage with key internal and external technology partners
- Collate, clean, and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Visualize data and create reports.
- Align data projects with organizational goals.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Collaborate with data engineers to put machine learning models in production following best practices in machine learning operations (MLOps)
- Coordinate with different functional teams to implement models and monitor outcomes
Technical Knowledge Requirements :
Non-Technical Skills :
Education / Training :
The starting budgeted pay range for this role will generally fall between $108,300.00 - $127,400.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary.
Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel...
Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities.
Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace.
EEO / AA Employer / Minority / Female / Disability / Veteran / Sexual Orientation / Gender Identity
Notification to Agencies :
Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.
Salary : $108,300 - $127,400
