Data Scientist (2008)

Job Description

Job Description

About Kooner Fleet Management Solutions

Kooner Fleet Management Solutions is one of the fastest-growing national providers of on-site fleet maintenance, preventative service, and mobile repair solutions . With nearly a decade of industry experience, Kooner FMS helps fleets reduce downtime , extend vehicle life, and simplify operations through proactive maintenance programs and advanced technology.

As a family-founded and field-first company, we take pride in delivering trusted partnerships, exceptional service, and innovative fleet management solutions that keep America’s trucks and trailers road-ready.

About the Data Scientist Role

We are looking for a Data Scientist to serve as our in-house analytical authority, reporting directly to the CFO, embedded with the executive team, and working across every department to surface the insights that drive how we run and grow the business.

This is not a reporting role. This person builds the infrastructure and intelligence layer between our data systems and our decision-making. They don't just find trends, they architect the pipelines, models, and systems that make those trends visible at scale. They find the money we are leaving on the table, identify where we are operating inefficiently, and deliver clear recommendations backed by rigorous statistical modeling – not just charts.

This is a hybrid opportunity based out of our corporate office in Sacramento, CA.

Where You’ll Make an Impact

• 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

What a Strong Performance Looks Like

• 60 days: You have audited all key data sources, mapped their schemas and relationships, stood up a data warehouse environment, and delivered a first cross-department performance view to the CFO.
• 6 months: Automated data pipelines are running in production. Dashboards are self-refreshing. You have identified and quantified at least three material cost-saving or efficiency opportunities with model-backed recommended actions.
• 12 months: A production ML model is influencing at least one operational process. Data is embedded in how the company makes decisions. Leaders are citing your analyses in operational and financial planning.

What Makes You a Great Fit

Required Experience

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

Technical Skills

• 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

Communication & Collaboration

• 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

Why You’ll Love Joining Our Team

• Earn What You Deserve: Competitive pay starting at $120K-$150K based on experience.
• Weekly Paydays: Get paid every Friday – no waiting around!

• Invest in Your Future: 401(k) with company match.

• Health Benefits that Kick in Fast: Medical, Dental, and Vision coverage after just 30 Days!

• Time to Recharge: Enjoy paid vacation time, paid sick time, and paid holidays to rest, recharge, and take care of what matters most.

• We’ve Got You Covered: Life & Disability Insurance for added peace of mind – because we take care of our team on and off the job.

• We’re Here for You: Access to our Employee Assistance Program for support when you need it most – we've got your back.

• Grow With Us: Big Career Growth Opportunities in a rapidly expanding, forward-thinking organization.

Work Environment

• Standard office setting

• Must be able to lift up to 10 lbs

• Must be able to sit for up to 4 hours at a time

Kooner Fleet Management Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants, free from discrimination and harassment. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and are dedicated to fostering a workplace where every team member can thrive.

*Kooner Fleet Management Solutions participates in E-Verify for employment eligibility verification.