Senior Data Scientist, Fleet Intelligence (Remote)

Coinscapture; United States; Remoto; USD 130.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health and dental coverage

Vision insurance

Incentive stock options

401(k) match

PTO - 4 weeks

Holidays + 2 floating holidays

Parental leave

FSA & HSA options

Disability insurance

Professional development funds

Wellbeing fund - $150 quarterly

Stipend for business expenses

Mac laptop + equipment stipend

Fully stocked kitchen (where available

Descrizione del lavoro

Fleetio is seeking a Senior Applied Data Scientist to join our Fleet Intelligence team, turning fleet maintenance and operational data into actionable intelligence that helps customers anticipate usage, costs, and maintenance risk.

You will work with Product Managers, Designers, Software Engineers, and Data partners to develop practical models and integrate them into customer-facing workflows, delivering impact and clarity. Experience with production ML and modern cloud platforms is valued.

Competenze

• 5+ years of experience in applied data science, machine learning, or a closely related role.
• Proven track record of developing and shipping models or decision-support systems that influenced customer or business outcomes.
• Strong proficiency with DBT, Python, and SQL, including exploratory analysis, feature engineering, model development, and evaluation on large datasets.
• Strong grounding in statistics and machine learning fundamentals, including model selection, validation, calibration, uncertainty, bias, and error analysis.
• Experience with time-series forecasting, regression, classification, ranking, anomaly detection, survival or reliability analysis, or optimization; depth in several areas is valuable.
• Experience taking models beyond notebooks into production workflows, including versioning, testing, deployment, observability, and retraining strategies.
• Experience using modern cloud data platforms and transformation workflows such as Snowflake, dbt, and orchestration tools.
• Ability to identify data-quality limitations, recommend improvements, and collaborate with data engineers on pipelines.
• Excellent written and verbal communication, especially when explaining complex methods to non-specialists.
• Experience cross-functionally with Product, Design, Software Engineering, and Data Engineering.

Mansioni

• Help deliver near-term Fleet Intelligence initiatives (tire, utilization, ROI, existing models).
• Develop credible projections or predictive models for fleet usage, maintenance cost, availability, and asset lifecycle decisions.
• Translate product questions into hypotheses, baselines, and evaluation plans with milestones.
• Explore maintenance, usage, cost, work-order, telematics, warranty, and asset-history data for predictive signals.
• Build, validate, and operationalize models from experimentation to production monitoring.
• Define model-quality metrics, drift detection, and feedback loops for customer decisions.
• Partner with Product and Design to make model outputs understandable and actionable in workflows.
• Establish reusable practices for experimentation, validation, and documentation.
• Communicate findings and risks clearly to technical partners and executives.
• Share knowledge through design reviews and mentorship across teams.

Conoscenze

Applied data science

Statistical modeling

Cross-functional collaboration

Communication

Python

SQL

Strumenti

Snowflake

dbt

Orchestration tools

Descrizione del lavoro

Fleetio is seeking a Senior Applied Data Scientist to join our Fleet Intelligence team, turning fleet maintenance and operational data into actionable intelligence that helps customers anticipate usage, costs, and maintenance risk.

You will work with Product Managers, Designers, Software Engineers, and Data partners to develop practical models and integrate them into customer-facing workflows, delivering impact and clarity. Experience with production ML and modern cloud platforms is valued.