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About the Role
Farmers Group seeks a Data Scientist to apply analytics and modeling techniques, leveraging machine learning and data mining to improve business outcomes, support operational projects, and perform routine tasks with moderate guidance. The role involves executing moderate business challenges, scoping projects, defining success measures, and utilizing a data science vision for project success within prescribed timelines. It also requires intermediate-level project execution with a sense of urgency.
Responsibilities
- Execute on moderate 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 at the intermediate level projects with a sense of urgency.
- Utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
- Utilize moderate knowledge of advance programming, ETL and specialized modeling methods to execute projects.
- Demonstrate clean reusable code and effective documentation, and encourage others to do the same.
- Partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure.
- Advise on fundamental concerns and serve as an objective and transparent partner to drive fact-based decision making and a measure of success culture.
- Develop presentations and present to leadership.
- Occasionally communicate complex technical material understandable to non-technical associates.
- Manage moderate model deployments via MLOps techniques.
- Work with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions.
- Mentor junior data science team members and provide coaching and knowledge around technical and non-technical skills.
Requirements
- Master’s degree, or foreign equivalent, in Statistics, Business Analytics, or a closely related field of study.
- 3 years of experience in the job offered, or as a Predictive Analyst, Senior Predictive Analyst, or similar position applying analytics and modeling techniques.
- 3 years of experience communicating complex data insights to technical and non-technical audiences.
- 3 years of experience influencing internal and external stakeholders.
- 3 years of experience applying data ethics and data privacy principles.
- 3 years of experience working in a fast-paced, high-volume environment while meeting production deadlines.
- 3 years of experience processing 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 needs.
- 3 years of experience performing data analysis using SAS, SQL, and Python.
- 3 years of experience working with the Snowflake data platform, including maintaining Snowflake workspaces for modeling data.
- 3 years of experience performing data engineering tasks including extraction from relational databases, transformation, cleaning, validation, and analysis.
- 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 for analytical objectives.
- 3 years of experience building predictive and prescriptive models using advanced machine learning and deep learning techniques.
- 3 years of experience implementing ML/AI model deployment best practices.
- 2 years of experience applying coding standards and version control using Git.
- 2 years of experience working on cross-functional teams, including product implementation and testing.
- Option to work remotely with required travel to local offices as needed, if within 50 miles of remote worksite.
Skills
- Machine learning
- Data mining
- Consumer analytics
- Retention models
- Agency economics
- Lead optimization
- Advance programming
- ETL
- Specialized modeling methods
- Data infrastructure
- MLOps techniques
- SAS
- SQL
- Python
- Snowflake data platform
- Data engineering
- Tableau
- Power BI
- Experimental design
- Hypothesis testing
- Clustering analysis
- Generalized Linear Modeling
- Predictive models
- Prescriptive models
- Advanced machine learning
- Deep learning
- ML/AI model deployment
- Git
- Cross-functional teams
Location
- Woodland Hills, CA
- Remote
Work Type
- On-site
- Hybrid
- Remote
- Full-time
Experience Level
- Intermediate
- 3 years of experience
- 2 years of experience
Education Level
- Master’s degree
Salary/Compensations
- $137,469
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 helps others is at the heart of what we do.
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.
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.