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3 дня назад

Senior Analytics Engineer (AI)

205Β 000 - 249Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
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

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TL;DR

Senior Analytics Engineer (AI): Building and scaling data infrastructure and analytics pipelines for an AI-driven time-tracking platform with an accent on ROI analysis, metric modeling, and machine learning integration. Focus on designing robust data architectures, delivering actionable business insights, and partnering with customer-facing teams to quantify product impact.

Location: Hybrid in San Francisco (3 days/week) or remote within the US

Salary: $205,000 – $249,000 USD

Company

hirify.global is an AI-powered platform transforming how professional services firms capture, analyze, and optimize work time data.

What you will do

  • Develop and maintain scalable ETL pipelines and the analytics data warehouse as a single source of truth.
  • Build recurring ROI analyses and productionize repeatable data jobs using orchestration tools like Airflow.
  • Define core business metrics and create reusable SQL data models for self-serve analytics.
  • Partner with the CX team to communicate product value and present insights to customers.
  • Design and deploy customer-facing dashboards using BI tools like ThoughtSpot.
  • Prototype and test ML models (classification, clustering, regression, NLP) to inform product direction.

Requirements

  • Must be based in the US as we are unable to provide visa sponsorship.
  • 3+ years of professional experience as a Data Scientist or Analytics Engineer.
  • Advanced proficiency in SQL and Python.
  • Experience with data orchestration tools (e.g., Airflow, Prefect, Dagster) and modern data warehouses (e.g., Snowflake, BigQuery).
  • Strong ability to translate complex technical findings for non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

  • Experience with knowledge worker productivity tools.
  • Familiarity with modern data visualization libraries like D3.js.
  • Knowledge of dbt, Kubernetes, and Terraform.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage with premiums covered.
  • 401(k) retirement planning options.
  • Generous equity packages for qualifying positions.
  • Wellness, commuter, and FSA stipends.
  • Bi-annual in-person company off-sites in unique locations.
  • Inclusive, collaborative, and forward-thinking startup environment.

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†’