Data Scientist (USFITFE)

Job Summary

Utilizes working knowledge and experience to apply advanced analytics and modeling to improve business results. Leverages 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/or leads small projects operationalizing business decisions while receiving limited guidance and direction from manager. May manage a team of up to 2 more junior data scientist(s).

Essential Job Functions

Utilizes knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work. Utilizes moderate knowledge of advanced programing, complex ETL and specialized modeling methods to execute projects. Demonstrates clean reusable code and effective documentation, encourages other to do the same. Executes on moderate level business challenges involving data science. Succeeds in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines. Executes on intermediate level projects with a sense of urgency. Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure. Advises on fundamental concerns and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture. Develops presentations and presents to leadership. Occasionally communicates complex technical material understandable to non-technical associates. Manages moderate model deployments via MLOps techniques. Works with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions. *Mentors junior data science team members. Provides coaching and knowledge around technical and non-technical skills.

Physical Actions

Job is performed in-person at a Farmers office or virtually at an approved alternative work location. The physical work environment is indoors and climate-controlled with adequate lighting and ventilation. Normal and customary distractions include background noise produced by office equipment and chatter among people, as well as interruptions. Frequently sits for prolonged periods of time, up to a full shift. Occasionally moves about the workplace including, navigating stairs, ramps, and level or uneven surfaces. Occasionally moves, pushes, pulls, lifts, carries, and/or places objects or materials weighing up to 25 pounds without assistance. Frequently uses shoulders, arms, hands, and fingers to manipulate equipment, tools, and objects necessary to perform job duties. Frequently performs fine motor tasks such as typing, mousing, or writing, up to a full shift. Rarely performs movements such as bending, stooping, crouching, kneeling, twisting, and reaching overhead or below the knees. Possesses clear vision, with or without correction, to visually read and verify information. Relies on depth perception and peripheral vision to navigate the work environment visually by identifying barriers, changes in terrain and locating objects. Possesses adequate hearing, with or without correction, to communicate with co-workers, respond promptly to auditory signals or alarms, and discern sounds essential for maintaining safety and productivity in the workplace. Jobs in this category require rare, if any, travel.

Physical Environment

Education Requirements

High School Diploma or equivalent required. Masters degree preferred in data science, statistics, mathematics, business analytics or related.

Experience Requirements

Minimum three years of work experience required in data analysis, statistical or mathematical modeling, or related.

Special Skill Requirement

Additional Qualification