Sr. Data Scientist

Farmers Insurance Careers

3d•$108,375 - $205,750•Hybrid

About The Position

Utilizes in-depth 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. Leads less complex projects operationalizing business decisions and works independently, receiving minimal guidance from manager. May manage a team of up to 2 more junior data scientist(s). Utilizes broad knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work. Utilizes in-depth knowledge of advanced programing, complex ETL and specialized modeling methods and execute projects. Demonstrates clean reusable code and effective documentation, encourages others to do the same. Acts as the main a contributor to multiple phases of a data science project (ideation, experiment design, EDA, feature engineering, model building, deployment, etc.). Utilizes a strong sense of ownership and contributes to multiple tasks simultaneously. Executes on complex and often vague 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 with some vague timelines. Executes on broad projects independently, 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 difficult matters 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. Regularly communicates complex technical material understandable to non-technical associates. Manages complex model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions. Helps to steer MLOps environment improvements. Mentors data science team members. Provides coaching and knowledge around technical and non-technical skills. Stays current on new technologies and makes recommendations for their use.

Requirements

Minimum five years of work experience required in data analysis, statistical or mathematical modeling, or related.
High School Diploma or equivalent required.
Strong verbal communication and listening skills.
Strong storytelling skills with ability to communicate complex data insights clearly to technical and non-technical audiences.
Demonstrated written communication skills.
Effective interpersonal skills.
Ability to influence internal and/or external constituents.
Demonstrated analytical skills.
Possesses strong technical aptitude.
Seeks to acquire knowledge in area of specialty.
Proficient in Microsoft Office Suite.
Demonstrated time management and priority setting skills.
Able to handle shifting priorities.
Strong proficiency working on large-scale structured and unstructured multidimensional data using in-depth knowledge of open-source cloud-enabled analytical programming languages.
Strong ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs.
In-depth knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, Emblem and/or Snowflake) and cloud computing services (AWS).
In-depth knowledge of data visualization tools (example, Tableau, Power BI).
Strong 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.
Strong proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques.
In-depth knowledge of ML/AI model deployment best practices.
Able to adapt quickly to new technologies.
In-depth knowledge of coding standards and version control (Git).
Working knowledge of data ethics and data privacy.
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.

Nice To Haves

Experience in insurance industry preferred.
Experience building rate order calculation models for auto or rec casualty products preferred.
Masters degree preferred in data science, statistics, mathematics, business analytics or related.

Responsibilities

Utilizes broad knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
Utilizes in-depth knowledge of advanced programing, complex ETL and specialized modeling methods and execute projects.
Demonstrates clean reusable code and effective documentation, encourages others to do the same.
Acts as the main a contributor to multiple phases of a data science project (ideation, experiment design, EDA, feature engineering, model building, deployment, etc.).
Utilizes a strong sense of ownership and contributes to multiple tasks simultaneously.
Executes on complex and often vague 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 with some vague timelines.
Executes on broad projects independently, 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 difficult matters 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.
Regularly communicates complex technical material understandable to non-technical associates.
Manages complex model deployments via established MLOps techniques.
Works with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions.
Helps to steer MLOps environment improvements.
Mentors data science team members.
Provides coaching and knowledge around technical and non-technical skills.
Stays current on new technologies and makes recommendations for their use.