Senior Associate Data Scientist at Farmers Insurance | CA, US | Rezi

Senior Associate Data Scientist at Farmers Insurance

Senior Associate Data Scientist

Farmers Insurance · CA, US

1 weeks ago

Senior Associate Data Scientist

Farmers Insurance · CA, US

12 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior Associate Data Scientist role.

Rezi rewrites your resume against Farmers Insurance's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Associate Data Scientist posting at Farmers Insurance — free, in seconds.

About the Role

Farmers Group seeks a Senior Associate Data Scientist to apply analytics and modeling techniques to improve business results, leverage customer information, and influence strategic business decisions using data science technologies. The role involves executing standard business challenges, scoping projects, defining success measures, and delivering within timelines.

Responsibilities

  • Execute on standard business challenges involving data science.
  • Succeed in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishing successfully within prescribed timelines.
  • Execute on routine projects with a sense of urgency.
  • Utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization.
  • Utilize basic knowledge of programming, ETL and modeling methods to execute projects and assist the team.
  • Partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure.
  • Advise on general matters and serve as an objective and transparent partner to drive fact-based decision making and a measures of success culture.
  • Contribute to the development of presentations and present to leadership.
  • Occasionally communicate complex technical material understandable to non-technical associates.
  • Prepare documentation for regulatory communications.
  • Execute basic to intermediate model deployments via established MLOps techniques.
  • Work with analytics and IT teams to test and deploy models.

Requirements

  • Bachelor’s degree, or foreign equivalent, in Statistics, Business Economics and Statistics, or a closely related field of study.
  • 3 years of experience in the job offered, or as a Product Analyst, Predictive Analyst, or similar position applying analytics and modeling techniques in the insurance industry.
  • 3 years of experience communicating complex data insights to both technical and non-technical audiences.
  • 3 years of experience influencing internal and external stakeholders.
  • 3 years of experience working with large-scale structured and unstructured multidimensional data using open-source, cloud-enabled analytical programming languages.
  • 3 years of experience consulting on data extraction, manipulation, and design for statistical, modeling, and monitoring purposes.
  • 3 years of experience performing data analysis and manipulation using SAS, Python, SQL, and Snowflake, as well as Generalized Linear Model (GLM) modeling.
  • 3 years of experience creating data visualizations using Tableau and Power BI.
  • 3 years of experience applying explanatory, diagnostic, and inferential techniques, including experimental design, hypothesis testing, clustering analysis, and Generalized Linear Modeling.
  • 3 years of experience selecting appropriate methodologies and techniques suited to the analytical objective.
  • 3 years of experience developing predictive and prescriptive models using advanced machine learning and deep learning techniques.
  • 3 years of experience implementing ML/AI model deployment best practices.
  • 1 year of experience adhering to coding standards and using version control with Git.
  • 1 year of experience preparing documents for regulatory communications.
  • Must be able to travel to local offices as needed if within 50 miles of the remote worksite.

Skills

  • Analytics
  • Modeling techniques
  • Customer information
  • Behavioral data
  • Data science
  • Machine learning
  • Data mining
  • Consumer analytics
  • Retention models
  • Agency economics
  • Lead optimization
  • Programming
  • ETL
  • Data infrastructure
  • SAS
  • Python
  • SQL
  • Snowflake
  • Generalized Linear Model (GLM) modeling
  • Tableau
  • Power BI
  • Experimental design
  • Hypothesis testing
  • Clustering analysis
  • Deep learning techniques
  • MLOps
  • Git

Location

  • Woodland Hills, CA
  • Remote

Work Type

  • Hybrid
  • Remote
  • Full-time

Experience Level

  • Senior Associate
  • 3 years of experience
  • 1 year of experience

Education Level

  • Bachelor’s degree

Salary/Compensations

  • $120,409

Benefits

  • Competitive salary
  • Bonus Opportunity (based on Company and Individual Performance)
  • 401(k)
  • Medical
  • Dental
  • Vision
  • Health Savings and Flexible Spending Accounts
  • Life Insurance
  • Paid Time Off
  • Paid Parental Leave
  • Tuition Assistance

About the Company

  • Farmers is an award-winning, equal opportunity employer.
  • Farmers believes in a culture of collaboration, creativity, and innovation.
  • Farmers delivers peace of mind when it matters most.
  • Farmers has a results-driven, high-performance culture that thrives on creativity, accountability and bold solutions.
  • Farmers offers a supportive community.
  • Farmers is committed to helping others.

Equal Opportunity

  • Farmers is an Equal Opportunity Employer and does not discriminate in any employer/employee relations based on race, color, religion, gender, sexual orientation, gender expression, genetic information, national origin, age, disability, marital status, military and veteran's status, or any other basis protected by applicable discrimination laws.
  • Farmers will consider for employment all qualified applicants, including those with criminal histories, in accordance with the Los Angeles Fair Chance Initiative for Hiring Ordinance or other applicable law.
  • Pursuant to 18 U.S.C. Section 1033, Farmers is prohibited from employing any individual who has been convicted of any criminal felony involving dishonesty or a breach of trust without prior written consent from the state Department of Insurance.