Associate Data Scientist

Farmers Insurance

1d•$76,275 - $144,875•Hybrid

About The Position

The Associate Data Scientist applies basic analytics and modeling knowledge to improve business results. The role uses customer information and behavioral data to inform strategic business decisions through analytics, multivariate models, machine learning, and data mining. With guidance from more senior colleagues, the Associate Data Scientist learns about business operations and data science best practices, completes routine and low-complexity projects, and contributes to model deployment and communication of findings. The position is available in a hybrid or remote work arrangement. Employees located within 50 miles of a Farmers corporate office work at least three days in the office and up to two days virtually; applicants living farther away may also be considered. The work may be performed in person at a Farmers office or virtually at an approved alternative work location.

Requirements

High school diploma or equivalent.
0–1 years of related experience.
Basic proficiency working with large-scale structured and unstructured multidimensional data using conceptual knowledge of open-source, cloud-enabled analytical programming languages.
Developing ability, with guidance, to consult on data extraction, data manipulation, and data design for statistical, modeling, and monitoring needs.
Basic knowledge of data analysis and manipulation tools such as SQL, Python, SAS, R, and/or Snowflake, and cloud computing services such as AWS.
Familiarity with data visualization tools such as Tableau or Power BI.
Ability to apply conceptual knowledge of explanatory, diagnostic, and inferential techniques, including experimental design, hypothesis testing, clustering analysis, time series, and other statistical modeling algorithms.
Basic proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques.
Conceptual knowledge of ML/AI model deployment best practices, coding standards, version control (Git), and data ethics and privacy.
Ability to adapt quickly to new technologies.
Strong verbal communication and listening skills, with basic storytelling skills to clearly communicate complex data insights to technical and non-technical audiences.
Demonstrated written communication, problem-solving, analytical, interpersonal, time-management, and priority-setting skills; able to handle shifting priorities with some guidance.
Proficient in Microsoft Office Suite.
Ability to influence internal and/or external constituents.
Strong technical aptitude and a desire to acquire knowledge in the area of specialty.

Nice To Haves

Master’s degree in data science, statistics, mathematics, business analytics, or a related field.
Data analytics or similar internship experience.

Responsibilities

Use basic programming, ETL, and modeling knowledge to execute projects and demonstrate sound technical skills to the team.
Execute data science work addressing low-complexity business challenges.
Apply a data science vision to project success and complete projects within prescribed timelines.
Execute routine projects with a sense of urgency.
Contribute to the development of presentations.
Occasionally communicate complex technical material in a way that is understandable to non-technical associates.
Execute basic to intermediate model deployments using established MLOps techniques.
Work with analytics and IT teams to deploy models and rules.