Associate Decision Scientist

About the role...

• This position provides critical decision support across the enterprise by gathering, analyzing, and synthesizing data to address business challenges.
• The role applies basic mathematical, statistical, and quantitative techniques to draw conclusions and deliver actionable recommendations that drive efficiency, growth, and profitability.
• It interprets simple datasets to extract meaningful insights and trends then communicates findings to business partners and leadership to support informed decision-making.
• The position performs work while receiving a substantial level of instruction, guidance and coaching from more experienced team members or supervisor.

What you'll accomplish...

• Applies basic mathematical, statistical, and quantitative techniques to contribute to the resolution of small-to-medium-scale business problems that significantly impact current and future business strategies.
• Receives instruction or guidance from more experienced team members to build descriptive or explanatory models, or uses the output of models created by others.
• Analyzes datasets to identify trends, patterns, and business opportunities.
• Leverages interactive data visualization tools and stati stical techniques such as distribution analysis, correlation analysis, outlier detection, multivariate analysis, time series, machine learning, and others to uncover hidden insights.
• Participates in basic exploratory data analysis (EDA) in collaboration with with more experienced team members to uncover opportunities including testing hypotheses and validating findings with business partners.
• Collects data from a variety of sources and integrates and transforms disparate datasets to create cohesive datasets for analysis.
• Follows existing procedures and practices to assess data quality and apply data hygiene techniques to ensure accuracy and consistency.
• Supports data reliability by conducting routine quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed.
• Supports translation of technical data insights into communications and presentations for non-technical business partners and leadership to ensure data-driven insights and recommended action plans are easily understandable.
• Uses basic storytelling approaches to make complex information more accessible and actionable.
• Participates in discussions with cross-functional business partners and teams to learn about, understand, and collaborate on complex business objectives.
• Assists in developing and executing solution strategies and outcomes by leveraging general business knowledge.
• Applies conceptual knowlege of theories and procedures in data analysis to provide insights that support decision- making.
• Coordinates with cross-functional technical teams including IT, data scientists, data engineers and others to help ensure data integrity and assist the optimization of data pipelines.
• Identifies data quality issues and collaborates to resolve them. Assists deployment and monitoring of straightforward predictive models into workflows.
• Stays informed about emerging decision and data science methodologies, tools, and best practices. Applies learning and new understanding to improve own performance and the quality of work produced.
• Asks questions to more experienced team members and actively seeks feedback to confirm understanding.
• Engages in professional development opportunities to enhance skills and contribute effectively to team objectives.
• Performs other duties as assigned.

Physical actions...

• 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.

Education needed...

• High School Diploma or equivalent required.
• Bachelors degree preferred in data science, statistics, mathematics, business analytics or similar.
• Equivalent work experience may be considered in lieu of degree.

Experience needed...

• At least one year of related experience required.
• Data analytics or similar internship preferred.
• Experience using data analysis and manipulation tools (such as SQL, Python, SAS, R, and/or Snowflake).
• Experience with data visualization tools (such as Tableau, Power BI).
• Able to adapt quickly to new technologies.

Special skills needed...

• Strong verbal and written communication skills.
• Demonstrated ability to secure 'buy-in' and convince others regarding best approach.
• Goal oriented team player with a positive attitude.
• Excellent time management skills.
• Strong relationship building.