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fanduel
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SeniorГибридПолная занятость

Senior Data Scientist - MMM

Оценка ИИ

Отличная вакансия в компании-лидере индустрии с прозрачным диапазоном зарплаты и расширенным пакетом льгот. Роль предлагает высокий уровень ответственности и влияние на стратегию бизнеса.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубокой экспертизы в специфической области Marketing Mix Modeling (MMM) и 5+ лет опыта. Высокая сложность обусловлена необходимостью работать с неопределенными задачами и представлять результаты топ-менеджменту.

Анализ зарплаты

Медиана170 000 $
Рынок145 000 $ – 210 000 $
Оценка ИИ

Предлагаемый диапазон ($149k - $186k) полностью соответствует рыночным стандартам для Senior Data Scientist в Нью-Йорке, где медиана составляет около $170k. Верхняя граница выше среднего, что отражает узкую специализацию в MMM.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Scientist - MMM position at FanDuel. With over five years of experience in data science and a specialized focus on Marketing Mix Modeling (MMM), I have a proven track record of developing predictive models that directly influence marketing ROI and strategic decision-making. My expertise in Python, SQL, and cloud platforms like Databricks aligns perfectly with your technical requirements for evolving FanDuel's internal modeling capabilities.

In my previous roles, I have successfully navigated the complexities of multi-channel attribution and campaign effectiveness, often working with large-scale datasets to deliver actionable insights to senior leadership. I am particularly drawn to FanDuel's position as the premier mobile gaming company and the unique challenges of modeling in a heavily regulated, fast-paced industry. I am confident that my ability to translate complex data into clear business recommendations will help optimize your customer acquisition and retention strategies.

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Присоединяйтесь к лидеру рынка спортивных ставок и развивайте передовые модели маркетингового микса в FanDuel!

Описание вакансии

THE POSITIONOur roster has an opening with your name on it

FanDuel is looking for a data scientist who specializes in marketing modeling to join our team. In this role you will develop and evolve our internal marketing mix model, help create a roadmap to support its evolution, and deliver actionable insights driving business and marketing KPI. This role requires a strong background in data science, machine learning, and a deep understanding of marketing analytics. It is expected in this role to take ownership of open-ended ambiguous problems and reach an optimal solution by narrowing multiple options into the best approach.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN

Everyone on our team has a part to play

  • Develop and manage mix models to report on effectiveness of campaigns across all our products
  • Design predictive models to optimize customer acquisition and retention strategies across generosity, prospecting and competitive intelligence, driving strategic decision-making for marketing, commercial, and customer growth initiatives
  • Build robust predictive models, showing capabilities of feature and model selection; develop, iterate and take to production advanced machine learning models
  • Identify appropriate tools, systems, and models to solve large data problems and improve efficiency in the data infrastructure; choose the 'best' approach given available resources
  • Create tools and models to generate actionable insights on Marketing campaigns
  • Troubleshoot and resolve coding and modeling problems presented by others
  • Work with agencies, vendors and in-house data engineers to source and manage all the data elements required for marketing mix modelling and channel attribution
  • Partner with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights, and improve business results
  • Present to senior leaders confidently and with impact

THE STATS

What we're looking for in our next teammate

  • Minimum of 5 years of industry experience in data science, analytics or engineering preferred
  • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
  • Strong analytical and quantitative skills, with high proficiency in Python and SQL (or coding language of choice)
  • Experience creating and managing models for marketing mix and channel attribution
  • Experience with Databricks or similar cloud-based data science platform. Bonus points for experience optimizing compute based on model specifications
  • Experience with Git, at least familiar with concepts such as branches, commits, and pull requests
  • Familiarity with on- and off-line marketing data
  • Experience using simulations for scenario analysis and recommendations
  • Experience delivering model result to business users and have recommendation implemented
  • Knowledge of sports and/or experience working within a heavily regulated industry is a plus
  • Strong verbal and written communication skills – demonstrable track record of influencing marketing strategy through your insights

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS

We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. \*Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

*The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.*

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

*It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.*

#LI-Hybrid

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • SQL
  • Databricks
  • Git
  • Machine Learning
  • Marketing Mix Modeling
  • Predictive Modeling
  • Scenario Analysis
  • Data Infrastructure

Возможные вопросы на собеседовании

Проверка технического понимания специфики MMM, включая эффекты затухания и насыщения.

Как вы подходите к моделированию эффектов переноса (adstock) и насыщения (diminishing returns) в ваших моделях маркетингового микса?

Оценка способности работать с данными из разных источников, что критично для этой роли.

Расскажите о вашем опыте интеграции данных из онлайн и офлайн каналов для построения единой модели атрибуции.

Проверка навыков работы в облачных средах, указанных в вакансии.

Каков ваш опыт оптимизации вычислительных ресурсов в Databricks при работе с крупномасштабными моделями машинного обучения?

Важно оценить умение кандидата доносить ценность данных до бизнеса.

Опишите случай, когда результаты вашей модели противоречили интуиции маркетинговой команды. Как вы убедили их принять ваши рекомендации?

Проверка навыков работы с неопределенностью, упомянутых в описании.

Как вы приоритизируете выбор признаков (feature selection) в условиях высокой корреляции между различными маркетинговыми каналами?

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fanduel
Страна
США
Зарплата
149 000 $ – 186 000 $