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1 день назад

Lead Data Scientist (Marketing Analytics)

157 000 - 165 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
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

Lead Data Scientist (Marketing Analytics): Developing and optimizing data-driven solutions for marketing channels and campaigns with an accent on audience segmentation, multi-touch attribution, and journey orchestration. Focus on building machine learning models from ideation to deployment, collaborating with clients, and deriving actionable insights from consumer data.

Location: Remote (United States)

Salary: $157,000–$165,000 Annually

Company

hirify.global is a premier end-to-end digital transformation consultancy partnering with ambitious brands to create digital solutions.

What you will do

  • Translate business objectives into short and long-term data solutions for audience segmentation, multi-touch attribution, and journey orchestration.
  • Produce model-driven solutions using best-practice regression and classification techniques with a focus on marketing strategy.
  • Collaborate with internal teams and clients to identify opportunities for data-driven solutions and improve digital maturity.
  • Aggregate and analyze disparate datasets, including web analytics, customer, and marketing data, to deliver actionable insights.
  • Contribute to a collaborative data science team through brainstorming, peer reviews, and knowledge transfer.

Requirements

  • Bachelor's degree demonstrating skills in quantitative and scientific methods; advanced degrees or certifications are a plus.
  • 7+ years experience in digital marketing consulting and analytics, with 3+ years applying machine learning algorithms for clients.
  • Extensive experience building machine learning solutions in a cloud stack (GCP, AWS, or Azure).
  • Depth of knowledge in digital marketing data, including paid media and web analytics datasets.
  • Advanced SQL skills (partitioning, nesting, regex, etc.) and high proficiency in Python with a data science toolkit (Sklearn, Tensorflow).
  • Some experience with data visualization and productionizing ML systems (e.g., exposing via API).

Culture & Benefits

  • Award-winning culture cemented in core values.
  • Engagements with world-class, Fortune 500 clients.
  • Professional growth opportunities with time and support for ongoing learning and certifications.
  • Flexible working hours coordinating with clients and teams across time zones.
  • Competitive benefits package supporting team members' needs.
  • Take-what-you-need vacation policy for rest and relaxation.
  • Willingness to sponsor eligible candidates for employment visas.

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