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10 часов назад

Sr. Manager, Data Scientist, Marketing Analytics

135 700 - 176 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Manager, Data Scientist, Marketing Analytics (Machine Learning/Marketing Analytics): Leading a team of data scientists and developing data-driven marketing solutions with an accent on predictive analytics, optimization, experimentation, and customer insights. Focus on building and deploying production machine learning models, designing attribution and customer lifetime value models, and translating complex analyses into strategic recommendations.

Location: Remote role associated with RTX Memphis Headquarters, United States

Base pay: $135,700–$176,400 per year

Company

hirify.global Pest Control North America is part of the hirify.global family of companies, providing pest control and related services across more than 90 countries.

What you will do

  • Lead, mentor, and develop a team of 2–3 data scientists.
  • Oversee data science projects from ideation and prototyping through deployment, production monitoring, and quality review.
  • Develop advanced marketing analytics models for attribution, customer lifetime value, segmentation, propensity, personalization, and media mix modeling.
  • Design and implement A/B and multivariate testing frameworks to measure marketing impact.
  • Partner with Marketing, Product, Sales, IT, and Data Engineering to define analytics priorities and deliver business insights.
  • Present complex analytical findings as actionable recommendations to marketing stakeholders and senior leadership.

Requirements

  • Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field.
  • 10+ years of progressive data science experience, including 2–3 years leading or managing data scientists.
  • Expert proficiency in Python and/or R, with strong SQL skills.
  • Experience with machine learning, predictive analytics, optimization algorithms, large-scale data processing, and production model deployment.
  • Experience with big data technologies such as Spark or Hadoop and cloud platforms including AWS, GCP, or Azure.
  • Strong knowledge of statistical inference, experimental design, causal analysis, communication, and stakeholder influence.

Culture & Benefits

  • Full-time benefits begin on the first day of employment.
  • Medical, dental, vision, disability, and life insurance are available.
  • 401(k) plan with company matching contributions.
  • Vacation days, sick days, company-paid holidays, and floating holidays.
  • Training, development programs, career growth opportunities, and tuition reimbursement for full-time colleagues.
  • Work environment prioritizing health, safety, flexibility, and internal career growth.

Hiring process

  • Application and interview communications may be sent by text through Workday, Loop, and HireVue systems.

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