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1 день назад

Senior Data Scientist (Marketing Analytics)

88 540 - 127 155$
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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TL;DR
Senior Data Scientist (Marketing Analytics): Solving complex marketing and business challenges by integrating and modeling diverse data sources with an accent on statistical analysis, machine learning, and marketing optimization. Focus on building scalable data pipelines and models, extracting decision-focused insights from big data, and communicating analytical results to technical and non-technical stakeholders.

Location: Chicago, United States

Salary: USD $88,540–$127,155 annually

Company

hirify.global is a networked experience agency combining data, technology, creative, media, and strategy capabilities to serve leading global brands.

What you will do

  • Translate marketing and business questions into analytical plans.
  • Ingest, access, and integrate disparate big data sources using distributed computing systems.
  • Conduct exploratory analysis to identify insights, transformations, and analytical applications.
  • Apply statistical and machine learning techniques to uncover patterns in data.
  • Build and test scalable data pipelines and models for real-time applications.
  • Visualize, document, and communicate analytical concepts and results while collaborating with internal and external stakeholders.

Requirements

  • 3+ years of professional experience in data science or analytics.
  • Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing, or social science methods.
  • Hands-on experience mining data for decision-focused insights.
  • Experience with statistical and machine learning procedures, including hypothesis testing, dimension reduction, feature transformation, and supervised or unsupervised learning.
  • Experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS.
  • Interest in marketing analytics and the ability to work independently in a fast-paced, flat-structure environment.

Nice to have

  • Familiarity with Linux and/or Spark.
  • Experience with prompt-based interaction and generative AI tools such as ChatGPT, Google Gemini, DALL·E, or Midjourney.

Culture & Benefits

  • Collaborative environment focused on sharing knowledge, debating techniques, and advancing data science practices.
  • Medical, dental, vision, and disability coverage.
  • 401(k), paid time off, parental and family care leave, and family-forming assistance.
  • Tuition reimbursement and flexible time off.
  • Inclusive workplace committed to belonging and equitable experiences.

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