Gridware
Senior Data Analyst, Fleet Triage & Operations
San Francisco, CA · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,438 more — $142,438 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $142,438 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- As the deployed fleet scales, telemetry volume grows faster than any team can manually inspect, and not all signals matter equally.
- This is a highly cross-functional role that blends data analysis, operational rigor, and structured incident learning across hardware, firmware, and connectivity domains.
Responsibilities
- Maintain a tiered triage approach (P0-P3) with clear entry criteria, SLAs, ownership, and escalation paths across hardware, firmware, and connectivity stakeholders.
- Build dashboards and queries that surface emerging trends - shifts in last-seen, connectivity degradation, configuration drift, anomalous failure clusters - before they reach incident severity.
- Lead postmortems end-to-end: facilitate blameless reviews, reconstruct incident timelines, drive root cause analysis, and own action items through to closure.
- Document triage playbooks, runbooks, and decision trees so the process scales beyond any one person.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field.
- 5+ years in a data-focused or operations-focused role (Data Analyst, Operations Analyst, Site Reliability Analyst, or similar) where triage, prioritization, or incident response was a core responsibility.
- Proficiency in SQL and Python for querying telemetry data and automating triage workflows.
- Comfort facilitating cross-functional discussions, including blameless postmortems with engineering, firmware, and operations stakeholders.
- Experience leading postmortems or incident reviews for IoT fleets, distributed systems, or large-scale hardware deployments.
- Familiarity with Databricks, PySpark, Pandas, and observability tools (Looker, Grafana, Datadog).
- Experience with power-constrained, solar-powered, or communication-constrained connected devices.
- This describes the ideal candidate
- many of us have picked up this expertise along the way.
Compensation
- Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees.
Benefits
- Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees.
- Commuter allowance Company-paid training
- Own and operate Gridware's fleet triage pipeline for device health issues, intaking signals from telemetry, monitoring, field reports, and customer feedback, and routing them through a tiered prioritization framework.
- Define and continuously tune detection logic, thresholds, and alerting rules that distinguish signal from noise across device health, connectivity, configuration, and environmental data.
Company info
- Even if you meet only part of this list, we encourage you to apply!
This listing is sourced directly from Gridware's careers page and normalized into a canonical job model.