Technical Manager, Data Scientist in Marysville, OH at ScottsMiracle-Gro

Date Posted: 7/31/2020

Job Snapshot

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Job Description

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.  Every Associate plays an important role in providing innovative solutions for today’s gardeners and growers and contributing new ideas to improve operations. In our company you need grit, it is what we were founded on over 150 years ago and is what keeps us growing. Regardless of your level in the organization there is a platform for your voice to be heard and the ability to influence change. Family, community and hard working values are weaved into all that we do. Come grow with us, where we develop and nurture the next generation of leaders. ​

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.

Responsibilities and Duties:

  • Research and develop statistical learning models for data analysis

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

  • Actively engage with key internal and external technology partners

  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

  • Develop custom data models and algorithms to apply to data sets.

  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

  • Coordinate with different functional teams to implement models and monitor outcomes


  • 5+ years of experience manipulating data sets and building and operationalize functional statistical models

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience querying databases and using various languages: R, Python, SQL, Presto.

  • Experience using Amazon Web Services: Athena, Glue, EMR, RDS, S3, SageMaker, etc.

  • Experience creating and operationalizing advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

  • Experience visualizing/presenting data for stakeholders using: Tableau, D3, ggplot, etc.

Non-Technical Skills:

  • Complex problem solving & analysis

  • Ability to formulate an in depth technical strategy meeting the needs of supported business functions

  • Ability to meet with the business and technical teams to provide understandable technical direction that demonstrates understanding of and alignment with business objectives. 

  • Relationship building with technical and non-technical personnel

  • Research new tools on the market and evaluate their value within the company. 

  • Ability to develop strategic roadmap and serve as SME in related area 

Minimum Qualifications:

  • MS degree in Statistics, Mathematics, Computer Science or another quantitative field

  • 4+ years of data modeling experience

  • 4+ years of Python, Java, R, SQL

  • 4+ years of experience with algorithm development, tuning, and operalization

  • Experience with AWS cloud services: EC2, EMR, RDS, Glue, Athena, S3, SageMaker

  • Experience with Neo4j Graph Database, Mulesoft, and Gprahql a plus.


Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent networks.

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.