Associate Data Scientist

About the Role

Utilizes basic knowledge to apply analytics and modeling techniques to improve business results. Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning, and data mining technologies. The role actively learns about business operations and best practices in data science with guidance from more senior roles.

Key Responsibilities

• Utilizes basic knowledge of programing, ETL, and modeling methods to execute projects and assists the team through examples of good technical skills.
• Executes on low-complexity business challenges involving data science.
• Succeeds in projects by utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines.
• Executes on routine projects with a sense of urgency.
• Contributes to development of presentations.
• Occasionally communicates complex technical material understandable to non-technical associates.
• Executes basic to intermediate model deployments via established MLOps techniques.
• Works with analytics and IT teams to deploy models/rules.

Requirements & Tech Stack

• Basic proficiency working on large-scale structured and unstructured multidimensional data using conceptual knowledge of open-source cloud-enabled analytical programming languages.
• Developing ability to consult on data extraction, data manipulation, and data design for statistical, modeling, and monitoring needs with guidance.
• Basic knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, and/or Snowflake) and cloud computing services (AWS).
• Familiarity with data visualization tools (example, Tableau, Power BI).
• Able to apply conceptual knowledge of explanatory, diagnostic, and inferential techniques such as 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.
• Able to adapt quickly to new technologies.
• Conceptual knowledge of coding standards and version control (Git).
• Conceptual knowledge of data ethics and data privacy.

Qualifications

• High School Diploma or equivalent. Masters degree preferred in data science, statistics, mathematics, business analytics, or related.
• 0-1 years of related experience required.
• Data analytics or similar internship preferred.
• Strong verbal communication and listening skills. Basic storytelling skills with ability to communicate complex data insights clearly to technical and non-technical audiences.
• Demonstrated written communication skills.
• Proficient in Microsoft Office Suite.
• Demonstrated problem-solving skills.
• Effective interpersonal skills.
• Ability to influence internal and/or external constituents.
• Seeks to acquire knowledge in area of specialty.
• Demonstrated time management and priority-setting skills, with some guidance.
• Able to handle shifting priorities.
• Demonstrated analytical skills.
• Possesses strong technical aptitude.

Workplace

• Hybrid (at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office). Applicants beyond fifty (50) miles may still be considered.

Benefits

• Competitive salary commensurate with experience, qualifications, and location.
• 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