Назад
Company hidden
2 часа назад

Data Scientist, Marketing Analytics

110 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Scientist, Marketing Analytics (Python/SQL, Uplift Modeling): Building and operating uplift models that personalize weekly retention bonuses and optimize incremental redemptions against cost with an accent on experimentation, causal inference, and production machine learning. Focus on deploying and monitoring models, analyzing large-scale behavioral data, and communicating business impact to marketing stakeholders.

Location: Hybrid in Denver, Colorado, with 3 days in the office each week on Tuesday, Wednesday, and Thursday; candidates must live in the United States.

Base salary: $110,000–$130,000 annually, plus variable compensation and equity.

Company

hirify.global is a performance marketing platform that enables brands to deliver digital promotions through the hirify.global Performance Network.

What you will do

  • Build, retrain, tune, and operate uplift models that personalize weekly retention bonuses while balancing incremental redemptions and cost.
  • Maintain feature pipelines, deploy model versions, and monitor production performance and drift.
  • Manage weekly model operations, including reviewing results, adjusting parameters, and maintaining budget and performance thresholds.
  • Design and analyze A/B tests and holdouts to measure bonus performance and generate training data.
  • Analyze large event-level saver datasets and collaborate with analytics engineers, data engineers, and Marketing partners to prepare modeling data.
  • Communicate model performance, business impact, and trade-offs to non-technical stakeholders while contributing to documentation, code reviews, and reusable workflows.

Requirements

  • 2+ years of progressive experience in data science, machine learning, statistics, data analysis, or a related field.
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Economics, or a similar discipline.
  • Strong Python skills, including pandas and scikit-learn, and strong SQL skills.
  • Experience building and evaluating machine learning and statistical models, including gradient boosting or neural networks.
  • Working knowledge of experimentation and causal inference, plus experience deploying or maintaining at least one production model.
  • Must currently be authorized to work full-time in the United States.

Nice to have

  • Spark or PySpark experience.
  • Experience with uplift or heterogeneous treatment effect modeling.
  • Experience with Airflow or Databricks Jobs, model monitoring, and drift detection.
  • Experience with marketing incentives, promotions, loyalty, retention programs, or models balancing volume and cost.
  • Experience using AI coding assistants and reviewing, testing, and debugging generated code.

Culture & Benefits

  • Hybrid work with a Denver office schedule.
  • Flexible time off and medical, dental, and vision benefits.
  • Employee Stock Purchase Program, 401(k) match, variable compensation, and equity.
  • Denver office perks include paid parking, snacks, and occasional meals.
  • Work guided by values including integrity, boldness, ownership, teamwork, and transparency.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →