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11 часов Π½Π°Π·Π°Π΄

Specialist, Data Analytics - Technical Field Data (Automotive)

95Β 000 - 120Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Specialist, Data Analytics - Technical Field Data (Automotive): Building connected-vehicle data strategies, analytics pipelines, and AI/ML solutions to detect field issues and improve vehicle quality with an accent on anomaly detection, failure prediction, and Voice of Customer analysis. Focus on correlating vehicle behavior, software versions, telemetry, and customer feedback, designing VIN-level traceability, and guiding engineering teams through complex root cause investigations.

Location: Blythewood, South Carolina, United States; daily in-person attendance is required, with occasional travel.

Salary: $95,000–$120,000 annual base salary, plus eligibility for an annual performance bonus.

Company

hirify.global is developing electrified and digitally enabled SUVs and trucks, including all-electric and range-extender powertrains.

What you will do

  • Analyze vehicle, fleet, telemetry, survey, social media, forum, call-center, and customer feedback data to identify emerging field and quality issues.
  • Support root cause analysis across powertrain, high-voltage battery, connected vehicle, software, and full-vehicle systems.
  • Define strategies for collecting, organizing, integrating, and monitoring large-scale connected-vehicle data.
  • Develop and deploy AI/ML solutions for anomaly detection, failure prediction, and sentiment analysis.
  • Build robust data pipelines and enable VIN-level Vehicle 360 lifecycle traceability.
  • Partner with vehicle engineering, connected-vehicle, service, warranty, and customer-support teams to translate insights into engineering actions.

Requirements

  • Bachelor’s degree in engineering, computer science, data science, or a related field.
  • 5+ years of experience in technical data processing, preferably in vehicle manufacturing, automotive engineering, quality, or field issue analysis.
  • Hands-on experience with large datasets and analytics tools including Databricks, SQL, Python, and cloud platforms.
  • Experience running JavaScript, Python, SQL, and HTML/CSS, and deploying AI-based data-processing solutions.
  • Knowledge of AI/ML concepts, anomaly detection, predictive analytics, data warehouses, AWS or Azure services, and Databricks.
  • Experience with Power BI and PowerApps, strong cross-functional communication, and the ability to translate data insights into engineering actions.

Nice to have

  • Experience in EV or connected-vehicle environments.
  • Automotive supplier or vehicle-manufacturer experience.

Culture & Benefits

  • Opportunity to help build products and a company from the ground up.
  • Medical, dental, vision, and income protection insurance.
  • 401(k) program with employer match and immediate vesting.
  • 20 days of planned PTO, 40 hours of unplanned PTO, and 14 company or floating holidays annually.
  • Up to 16 weeks of paid parental leave, plus paid leave for bereavement, jury duty, voting time, and military leave.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’