Farmers seeks to improve business results by applying advanced analytics and modeling to unique customer information and behavioral data, influencing strategic business decisions through complex, innovative analytics, multi-variate models, machine learning, and data mining technologies.
Requirements
- Advanced proficiency working on large-scale structured and unstructured multidimensional data using advanced knowledge of open-source cloud-enabled analytical programming languages.
- Advanced ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs.
- Advanced knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, and/or Snowflake) and cloud computing services (AWS).
- Advanced knowledge of data visualization tools (example, Tableau, Power BI).
- Advanced proficiency in using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose.
- Advanced proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques.
- Advanced in ML/AI model deployment best practices.
Responsibilities
- Utilizes specialized knowledge and experience to apply advanced analytics and modeling to improve business results.
- Leverages unique customer information and behavioral data to influence strategic business decisions while using complex, innovative analytics, multi-variate models, machine learning and data mining technologies.
- Assists in and leads complex, cross-functional projects operationalizing business decisions.
- Takes ownership and executes on more complex and often vague business challenges involving data science.
- Utilizes broad knowledge of advanced programing, complex ETL and specialized modeling methods to execute projects and leads the team through examples of effective technical skills.
- Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure.
- Manages specialized model deployments via MLOps techniques.
Other
- Works independently receiving guidance in only the most complex situations.
- The role mentors, coaches, and trains less experienced team members and supervises direct reports who are individual contributors.
- High School Diploma or equivalent required.
- Masters degree required in data science, statistics, mathematics, business analytics or related.
- Strong verbal communication and listening skills.
