Fleet Management

Fleet Management Data Jobs

3 jobs found

1d ago

Senior Data Scientist, Engine Infra

roblox San Mateo, CA

San Mateo, CA

1d ago

$221k - $264k/yr Full time Senior Data Analysis Data Analytics

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Job Description

In this role, you will define and own Engine Infra metrics and telemetry, build analytics pipelines and dashboards, and use experiments and causal analysis to improve game-server efficiency, reliability, and player experience.

Responsibilities

Own Engine Infra metrics, telemetry logging, and validation for the RCC fleet and edge compute.
Define and maintain KPIs for game-server efficiency, reliability, and player experience, including:
- CPU and memory
- Heartbeat
- Occupancy and multiplexing efficiency
- Crash and OOM rates
- Runtime error codes
- Latency quality (for example, DataPing vs RakPing)
Access and process raw RCC and engine telemetry.
Build analytics pipelines and deliver operating views by turning signals across per-instance, per-game, datacenter, and channel into dashboards and decision systems.
Support improvements that help Engine Infra pack more players onto fewer cores, including correct CPU and memory allocation and keeping multiplexed and large-server processes healthy.
Lead channel tests, hardware A/Bs, and causal analyses for:
- Multiplexing
- ARM64 bursting
- Regional capacity
- Edge latency
Quantify trade-offs among efficiency, stability, and quality.
Separate impacts from host, container, engine, content, and release effects.
Estimate player-experience impact, including latency-sensitive cohorts (not only global averages), to ensure launches ship on evidence.
Collaborate with Engine Infra, Game Engine, Networking, Matchmaking, Infrastructure, Product, and TPMs, plus teams such as Creator Analytics and Growth, to debug ambiguous production issues and identify capacity and quality opportunities.
Influence how Roblox runs live experiences on owned edge and cloud hardware:
- A more efficient RCC fleet
- Better regional capacity
- Lower edge latency
- Interactive performance as servers scale toward larger, denser configurations

Requirements

Advanced degree in Computer Science, Statistics, Engineering, or a related field, with a focus on large-scale system analysis.
4+ years as a Data Scientist, with a proven record in high-volume telemetry and product quality optimization.
Expertise processing massive, noisy datasets (for example, crash logs or telemetry pings) and building scalable pipelines for reporting.
Experience using first-principles reasoning to debug complex, ambiguous system failures where root cause is not always clear.
Ability to present deep technical results to Engineering leaders and use data storytelling to prioritize work and future investment.

Nice to have

Direct experience with game engines or systems performance.
Experience in game development or working on real-time interactive systems.
Background or interest in memory management, OS-level interactions, or network stack optimization.

Compensation and location

Location: San Mateo, CA, United States (onsite).
Annual salary range: USD 221,380 - 263,670.
Actual base pay depends on factors including professional background, training, work experience, location, business needs, and market demand.
In some circumstances, actual salary could fall outside the expected range.
Full-time employees are also eligible for equity compensation and benefits as described on the company’s page.

Work schedule

Onsite Tuesday, Wednesday, and Thursday.
Optional presence on Monday and Friday (unless otherwise noted).

US based roles only

The company may not be able to employ candidates for this role who have US work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

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3d ago

Data Analyst Senior or Lead

Progressive Remote 🌍 Remote

Remote

3d ago

$81k - $131k/yr Full time Senior Analytics Business Analytics

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Job Description

Progressive is hiring a Senior or Lead Data Analyst to support the Commercial Lines Product Development Telematics team on a remote basis. In this role, you will turn telematics data into clear dashboards and reporting, while partnering across teams to deliver insights for strategic initiatives, including expansion into Fleet & Specialty Programs (FSP).

As a central contributor to the team’s analytics, you will also help guide how dashcam-related efforts and broader telematics usage inform underwriting decisions and other emerging opportunities.

What you’ll do

Build and maintain dashboards and reporting to support ongoing product and strategy work.
Research topics related to the commercial telematics market.
Partner with cross-functional teams to deliver data-driven insights that support key strategic initiatives, including expansion into Fleet & Specialty Programs (FSP).
Support growth of the dashcam program, broader use of telematics data in underwriting, and other emerging opportunities.

What you’ll bring

Minimum 6 years of analytical work experience, or a Bachelor’s degree or higher plus at least 5 years of analytical work experience, or a Bachelor’s degree or higher in a quantitative field plus at least 3 years of analytical work experience.
Intermediate to advanced programming skills in Python and SQL.
Proven aptitude for communicating insights and visualizations using Tableau and/or Power BI.
Strong analytical and problem-solving abilities with keen attention to detail.
Excellent communication skills to convey complex data insights to non-technical partners.
Proactive attitude with a strong aptitude for learning new tools and technologies.

Tools & technologies

Python
SQL
Tableau
Power BI

Compensation

USD 81,400 - 131,200 per year, depending on position level and experience.

Benefits

401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off, including volunteer time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Gainshare annual cash incentive payment up to 30% of your eligible earnings based on company performance

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1mo ago

Data Analyst / Engineer

McAfee Frisco, TX

Frisco, TX

1mo ago Closed

$93k - $153k/yr Full time Analytics APIs Artificial Intelligence

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

McAfee is hiring a Hybrid Data Analyst / Engineer for the Consumer Protection Team in Frisco, TX, focused on turning operational data into scalable insights and real-time monitoring.

Responsibilities

Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
Build and optimize data insights and solutions using AI/ML.
Create solutions that combine external and internal data sources to improve consumer experience.
Develop scalable ETL pipelines to process large-volume telemetry across heterogeneous systems.
Build real-time dashboards to monitor product health and operational issues, ensuring data quality and integrity.
Support seamless AI integration across a polyglot codebase including Android, iOS, macOS, and Windows.

Requirements

5+ years of data engineering experience.
1+ year of hands-on AI/ML experience.
Experience with Spark, Kafka, ETL pipelines, and a data warehouse such as Databricks.
Experience with databases including SQL and NoSQL ( PostgreSQL, MongoDB, Redis ).
Knowledge of cloud platforms: AWS, Azure, or GCP, with a focus on AI/ML services.
Experience with API development ( REST, GraphQL ) and real-time systems.
Cybersecurity platform knowledge and MCP implementation experience.
Strong critical thinking to evaluate trade-offs and solve complex data problems.

Tech Stack

Spark, Kafka, Databricks
SQL, PostgreSQL, MongoDB, Redis
AWS, Azure, GCP
AI/ML, REST, GraphQL
Android, iOS, macOS, Windows

Location & Work Model

Frisco, TX (hybrid)
On-site requirement: 2 to 3 days per week
Work from a home office when not on-site
Candidates must be within a commutable distance to the Frisco office
Relocation assistance is not provided

Compensation

USD 93,370 - 153,400 per year

Benefits

Bonus Program
401k Retirement
Medical, Dental, Vision, Basic Life, Short Term Disability, Long-Term Disability Coverage
Paid Parental Leave
Support and Community Involvement
14 Paid Company Holidays
Unlimited Paid Time Off for Exempt Employees
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees, accrued each year

Company Culture & Perks

Emphasis on diversity and inclusion, encouraging employees to bring their authentic selves to work
Social programs, flexible work hours, and family-friendly benefits

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