Data Scientist (2008)

Kooner Fleet Management Solutions•Sacramento, CA

2d•Hybrid

About The Position

Kooner Fleet Management Solutions is seeking a Data Scientist to serve as their in-house analytical authority. This role reports directly to the CFO, is embedded with the executive team, and works across all departments to uncover insights that drive business operations and growth. The position is responsible for building the infrastructure and intelligence layer between data systems and decision-making, architecting pipelines, models, and systems to make trends visible at scale. The Data Scientist will identify cost-saving opportunities, operational inefficiencies, and deliver clear recommendations backed by rigorous statistical modeling. This is a hybrid opportunity based out of the corporate office in Sacramento, CA.

Requirements

8–10 years minimum in data science, data engineering, or a senior analytical role with a strong engineering component
Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field required
Demonstrated history of translating data findings into business decisions, not just reports
Experience working directly with finance leadership or C-suite as an analytical partner
Proven ability to integrate data across multiple enterprise platforms with inconsistent formats and naming conventions
Expert-level SQL – complex joins, window functions, CTEs, query optimization, and working with multi-source messy data at scale
Python at a production level – not just pandas scripts, but well-structured, tested, version-controlled code (OOP, virtual environments, packaging)
Power BI and Tableau for production-grade dashboards used by non-technical stakeholders
Excel at an advanced level - pivot tables, complex formulas, model building
Proficient with AI tools and prompt engineering to accelerate insight generation and automate routine analysis tasks
Exceptional verbal and written communication - able to explain a complex finding in two sentences to an executive
Comfort working cross-functionally across operations, HR, finance, fleet, and dispatch
Self-directed and proactive - you identify what needs to be measured, not just what you are asked to measure
Comfortable presenting findings that are uncomfortable - the data tells the truth; you communicate it clearly and constructively

Nice To Haves

Master's degree preferred
Background in field service, logistics, last-mile delivery, fleet operations, or a similarly data-rich operational business strongly preferred

Responsibilities

Connect and analyze data across FleetIQ, Samsara GPS, Rippling, time schedules, QuickBooks, and Power BI to build a unified view of business performance
Identify cost-saving opportunities and operational inefficiencies across departments; workforce, fleet, dispatch, finance, and field operations
Develop and maintain dashboards and scorecards in Power BI and Tableau that give leadership and department heads real-time visibility into KPIs
Analyze technician profitability, labor cost vs. output, overtime patterns, and timecard compliance
Evaluate GPS and fleet data against clock records to detect off-clock vehicle use, idle time, and route inefficiency
Assess dispatch metrics - time to first assignment, technician response times, job completion rates - and identify structural improvements
Leverage AI tools and prompt engineering to accelerate analysis, automate summaries, and enhance the depth of insight from existing data
Build and maintain master mapping tables to normalize technician names, truck assignments, territory codes, and cross-system identifiers
Partner with the CFO and executive team to frame business questions analytically and return with data-backed recommendations
Proactively surface trends, anomalies, and risks the business is not yet measuring before they become problems