Senior Data Scientist
Коротко о вакансии
Старший дата-сайентист будет работать в команде Data Strategy & Analytics агентства Wpromote, помогая клиентам оценивать реальный эффект маркетинговых инвестиций. В задачи входит разработка и проведение тестов инкрементальности, построение медиамикс-моделей и причинно-следственный анализ. Специалист будет взаимодействовать с командами медиа, клиентского сервиса и аналитики, а также наставлять младших коллег. Кандидату необходим опыт работы с большими маркетинговыми данными, знание Python, R и SQL, а также глубокое понимание статистического моделирования и каузальной инференции.
- Формат работы
- Удалённая работа, полная занятость
- География
- США, удалённо (большинство штатов, с некоторыми исключениями); есть офисы в Лос-Анджелесе, Чикаго и Нью-Йорке
- Зарплата
- 141 000 — 165 000 $ — по данным Himalayas
- Ключевые требования
- Магистр в статистике, экономике, Data Science или смежной области
- Сильные навыки программирования на Python, R и SQL
- Опыт разработки и анализа тестов инкрементальности
- Опыт построения и интерпретации медиамикс-моделей
- Глубокое понимание статистического моделирования и каузальной инференции
- Кому подойдёт
- Вакансия подойдёт опытным дата-сайентистам, специализирующимся на маркетинговой аналитике и измерении эффективности рекламы.
Пересказ openqareer по тексту работодателя. Ниже — оригинал объявления.
The Role
We are looking for a Senior Data Scientist to join our Data Strategy & Analytics team and help clients understand the incremental impact of their marketing investments. In this role, you will design and execute rigorous measurement solutions, including incrementality tests, media mix models, and causal analysis. and translate the results into clear, actionable recommendations.
You will partner with Data Strategy, media, client service, and analytics teams to solve complex measurement challenges across channels and funnel stages. You will work directly with large, imperfect marketing datasets, select the right methodology for each business question, and communicate both the findings and their limitations to technical and non-technical audiences.
The ideal candidate has hands-on experience with incrementality testing and media mix modeling, along with a strong understanding of digital and upper-funnel media measurement. You should be comfortable evaluating channels such as CTV, video, audio, OOH, paid social, and other brand investments where last-touch attribution is incomplete. You will also help strengthen our measurement approaches and guide junior & on-level data scientists in sound experimental and modeling practices.
At Wpromote , we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.
We offer:
-Remote-first culture
-Unlimited PTO
-Extended Holiday break (Winter)
-Flexible schedules
-Work from anywhere options*
-100% paid parental leave
-401(k) matching
-Medical, Dental, Vision, Life, Pet Insurance
-Sponsored life insurance
-Short Term Disability insurance and additional voluntary insurance
-Annual Class Pass credits and more!
The anticipated annual salary for this role will range from $141,000- $165,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. At Wpromote , pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).
*This position may be performed remotely in most states within the US, with some exclusions
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