- Страна
- США
- Зарплата
- 194 000 $ – 240 000 $
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Sr. Staff Data Scientist
Отличная вакансия в быстрорастущем финтехе с прозрачной вилкой зарплаты и сильным социальным пакетом. Роль предполагает высокую степень влияния на продукт и работу с современным стеком технологий в топовых локациях (NYC/SF).
Сложность вакансии
Высокая сложность обусловлена требованием к опыту (8+ лет) и стратегическому уровню позиции Sr. Staff. Кандидат должен не только владеть стеком (SQL, dbt, Snowflake), но и уметь влиять на бизнес-стратегию через сторителлинг и сложные аналитические фреймворки.
Анализ зарплаты
Предлагаемая зарплата ($194k - $240k) полностью соответствует рыночным стандартам для позиций уровня Staff/Sr. Staff Data Scientist в Нью-Йорке и Сан-Франциско. Верхняя граница диапазона является весьма конкурентоспособной для компаний стадии роста.
Сопроводительное письмо
I am writing to express my strong interest in the Sr. Staff Data Scientist position at Flex. With over 8 years of experience in driving business outcomes through advanced statistical methods and a proven track record in the FinTech sector, I am eager to bring my expertise in causal inference and scalable analytical frameworks to your team. My background in bridging the gap between complex data insights and strategic business priorities aligns perfectly with Flex's mission to provide financial flexibility for renters.
Throughout my career, I have specialized in building robust ETL processes using dbt and Snowflake, and creating intuitive visualizations in tools like Looker and Tableau. I am particularly drawn to Flex's "truth-seeking" culture and the challenge of establishing clear causal links between product actions and user outcomes. I am confident that my bias for action, combined with a rigorous analytical approach, will allow me to make immediate contributions to the Director of Analytics' team and help scale Flex's data-driven decision-making process.
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Описание вакансии
Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?
About the role
As a Sr. Staff Data Scientist reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Product teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.
What you’ll do
- Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
- Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
- Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
- Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
- Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
- Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization
Key qualifications
- PhD, Masters, or Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)
- 8+ years of experience using analytical and statistical methods to support and drive critical business outcomes
- Expert communicator who can break down complex technical concepts into simple business vernacular
- Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems
- Demonstrated success driving business strategy and outcomes from an analytics lens
- Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.)
- Experience with ETL processes, especially utilizing dbt and Snowflake
- Track record of using quantitative, analytical, and problem-solving skills to drive decisions
- Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon
- Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work
This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters or Hybrid from our San Francisco office.
The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks.
Tier 1 markets (NYC/ SF), the base salary pay range for this role is $194,000-240,000 USD
Life at Flex
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
For full-time U.S. employees we offer:
- Competitive medical, dental, and vision
- Company equity
- 401(k) plan with company match
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program: Non-profit company match + pet adoption coverage
- Free Flex subscription
For full-time non-U.S. employees, we offer:
- Competitive compensation + company equity
- Unlimited PTO
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Навыки
- Tableau
- SQL
- Looker
- dbt
- Statistics
- Data Visualization
- Snowflake
- ETL
- Economics
- Causal Inference
- Mode
Возможные вопросы на собеседовании
Позиция Sr. Staff подразумевает глубокое понимание того, как данные влияют на бизнес-решения.
Приведите пример, когда ваш анализ напрямую привел к изменению бизнес-стратегии или приоритетов продукта. Как вы измеряли успех?
В описании вакансии упоминается установление причинно-следственных связей.
Какие методы, помимо классического A/B тестирования, вы используете для установления причинно-следственных связей в сложных данных?
Вакансия требует опыта работы с dbt и Snowflake.
Опишите ваш опыт проектирования масштабируемых ETL-процессов. С какими основными проблемами производительности в Snowflake вы сталкивались?
Роль требует умения объяснять сложные вещи простыми словами.
Как вы подходите к презентации технических рисков или неопределенности в данных нетехническим стейкхолдерам (например, CEO или продуктовым лидерам)?
Упоминается принцип 'biased for action' и баланс между скоростью и качеством.
Расскажите о ситуации, когда вам пришлось пожертвовать аналитической глубиной ради скорости принятия решения. Как вы оценивали риски?
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- Страна
- США
- Зарплата
- 194 000 $ – 240 000 $