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3 дня назад

Senior Data Scientist (AI)

155Β 000 - 200Β 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

ОписаниС вакансии

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TL;DR
Senior Data Scientist (AI/ML): Building and owning production ML and AI solutions for broadband and telecommunications partners with an accent on LLM agents, agentic workflows, rigorous evaluations, and business-focused experimentation. Focus on designing reliable evaluation systems, deploying production-grade models, explaining trade-offs to clients, and mentoring data scientists.

Location: Hybrid schedule based at the South Charlotte, NC headquarters Tuesday through Thursday, with fully remote work on Fridays; Remote - USA

Total cash compensation: $155,000–$200,000 per year

Company

hirify.global is a portfolio of high-growth companies delivering digital consumer experiences and large-scale digital growth solutions for major brands across financial services, retail, real estate, entertainment, home services, and telecommunications.

What you will do

  • Build and own production ML and AI solutions end to end, from problem framing through deployment, monitoring, and iteration.
  • Build LLM agents and agentic workflows, including prompt and tool design, orchestration, deployment, and monitoring.
  • Design offline test sets, automated graders, regression suites, and online experiments that connect model quality to business outcomes.
  • Apply traditional ML techniques including classification, regression, clustering, optimization, and experimentation where appropriate.
  • Develop production-grade code with engineering partners, including testing, CI/CD, and monitoring.
  • Work with clients and partner teams to scope problems, present results, recommend next steps, shape roadmaps, and mentor junior and mid-level data scientists.

Requirements

  • Bachelor’s degree plus 6 years of experience, or master’s degree plus 4 years, or PhD plus 2 years.
  • Track record of building and owning end-to-end ML solutions in production, including at least one complex solution operating over several months.
  • Experience building LLM agents or agentic workflows using frameworks such as LangGraph or the Claude Agent SDK, or model APIs from OpenAI, Anthropic, or similar.
  • Experience designing evaluations for ML or LLM systems, including test sets, business-relevant metrics, human validation of automated graders, and regression detection.
  • Strong foundation in classification, regression, clustering, and optimization, including limitations and statistically rigorous evaluation.
  • Experience presenting technical work to clients or senior stakeholders and explaining the trade-off between model performance and business value.
  • Expert-level Python and SQL, plus proficiency in model deployment and ML operations including version control, CI/CD, unit testing, job orchestration, and containers.
  • Experience mentoring data scientists through code review, pairing, or project guidance.
  • Experience shaping data science or product roadmaps and understanding how AI/ML solutions affect business KPIs.
  • Must not require visa sponsorship or transfer of visa sponsorship, including H-1B, F-1, OPT, STEM-OPT, or TN sponsorship; corp-to-corp work is not available.

Nice to have

  • Experience with Databricks, MLflow, or AWS.
  • Experience with call center, telecommunications, or marketplace data.

Culture & Benefits

  • Full-time employment with health, dental, vision, life, disability, flexible spending, and employee assistance benefits.
  • 401(k) with company match and paid parental bonding benefits.
  • Flexible paid time off, with 20 days accrued annually and 25 days after five years of service.
  • Client-facing, technically rigorous environment emphasizing measurable evaluation, practical shipping decisions, automation, and mentoring.

Hiring process

  • Expect live conversations with RV teammates before an offer; hiring is not conducted through text, social media, or email only.
  • Official recruiting communication uses hirify.global or portfolio-company email domains; candidates will not be asked to send money, buy equipment, or share financial account information.

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