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6 дней назад

Staff Data Scientist, Client Data & Measurement (Machine Learning)

180 000 - 203 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Data Scientist, Client Data & Measurement (Machine Learning): Building data science products, statistical models, and machine learning systems for core business domains with an accent on large-scale data analysis, experimental design, and consumer behavior insights. Focus on selecting and optimizing advanced models, hardening data pipelines for production monitoring, and establishing data science best practices across the company.

Location: Hybrid in Denver, Colorado, with three days in the office on Tuesday, Wednesday, and Thursday. Candidates must live and be authorized to work full-time in the United States. A relocation bonus is available for candidates moving to Denver.

Base compensation: $180,000–$203,000 annually, plus a variable compensation component.

Company

hirify.global is a performance marketing platform that enables brands to deliver digital promotions through a publisher network reaching more than 200 million consumers.

What you will do

  • Own data science expertise and initiatives across one or more core business domains.
  • Collaborate with stakeholders, architects, and data engineers to discover, cleanse, and refine data for analysis and modeling.
  • Analyze large and novel datasets to generate actionable insights and support business decisions.
  • Design experiments and build statistical and machine learning models to address business challenges.
  • Harden data pipelines and models for production deployment and monitor performance over time.
  • Establish data science best practices and mentor and educate teams across the company.

Requirements

  • 7+ years of experience in a professional data science or machine learning role with significant business impact.
  • Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field.
  • Expert knowledge of machine learning and statistical algorithms, including model selection and performance optimization.
  • Expert-level Python and/or R skills, database manipulation, query languages, and graph data schemas.
  • Experience working with complex data in data lakes, distributed systems, and data streams for feature engineering.
  • Strong data storytelling, statistical analysis, experimental design, analytical, and problem-solving skills.

Nice to have

  • Experience with Spark or PySpark.
  • Strong understanding of time series analysis.
  • Experience with MLOps.
  • Conference presentations, professional publications, or a recognized online presence in data science or machine learning.

Culture & Benefits

  • Flexible time off and medical, dental, and vision benefits.
  • Employee Stock Purchase Program and 401(k) match.
  • Denver office perks include paid parking, snacks, occasional meals, and weekly bagels.
  • Work guided by values including integrity, boldness, ownership, teamwork, transparency, and openness to ideas.
  • Employees are responsible for secure data handling and reporting phishing attempts and security incidents.

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