yandex
gusto
Страна
Канада
Зарплата
154 000 $ – 225 000 $
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
ГибридПолная занятость

Staff Data Scientist - Product

Оценка ИИ

Отличная позиция в стабильной и быстрорастущей компании с прозрачной системой вознаграждения и сильной инженерной культурой. Высокий уровень ответственности и возможность влиять на продукт мирового уровня.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff требует не только глубоких технических знаний в статистике и причинно-следственном выводе, но и развитых лидерских качеств для управления неопределенностью и менторства команды. Высокие требования к опыту (7-10 лет) и стратегическому влиянию на продукт делают эту позицию сложной.

Анализ зарплаты

Медиана195 000 $
Рынок165 000 $ – 240 000 $
Оценка ИИ

Предлагаемая зарплата ($175k - $225k для SF/NY) полностью соответствует рыночным ожиданиям для уровня Staff Data Scientist в крупных технологических хабах США. Верхняя граница диапазона даже несколько превышает медиану для аналогичных ролей в компаниях среднего размера.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Data Scientist position at Gusto. With over 8 years of experience in product-focused data science, I have a proven track record of leveraging causal inference and advanced statistical modeling to drive strategic product decisions. My background in scaling experimentation frameworks and mentoring high-performing teams aligns perfectly with Gusto’s mission to support small businesses through data-driven insights.

In my previous roles, I have successfully led complex projects that integrated AI-assisted analytics to accelerate time-to-insight, much like the initiatives described in your job posting. I am particularly drawn to Gusto’s commitment to analytical rigor and its collaborative culture. I am confident that my technical expertise in Python and SQL, combined with my ability to translate complex findings for non-technical stakeholders, will allow me to make a significant impact on your Payroll and HR product domains.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в gusto уже сейчас

Присоединяйтесь к Gusto, чтобы определять будущее малого бизнеса через передовую аналитику и причинно-следственный вывод!

Описание вакансии


About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.

About the Role:

Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7+ years) applying their expertise in a business environment. As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.

About the Team:

In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open, each focused on a different area of our business.

Here’s what you’ll do day-to-day:

  • Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains.
  • Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
  • Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise.
  • Experimentation & Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality.
  • Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
  • Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.
  • Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders.
  • Scaling the Craft: Mentor other data practitioners, up-level team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities leveraging AI-native tools and workflows across the org.

Here’s what we're looking for:

  • 7–10 years of experience in Data Science at a product-focused software company.
  • Strong SQL skills and comfort with Python
  • Proven ability to apply statistical methods, causal inference, AI tools, and experimental design to real business problems.
  • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
  • Demonstrated experience leading large, technically complex projects with clear business impact.
  • A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.
  • Passion for mentoring others and raising the bar for data science craft across the team.
  • BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.

Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, and $175,000/yr - $225,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.


Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.


Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • Statistics
  • Causal Inference
  • Experimentation
  • Product Analytics
  • Machine Learning
  • Data Storytelling

Возможные вопросы на собеседовании

Проверка навыков причинно-следственного вывода, который критичен для этой роли.

Расскажите о случае, когда вам нужно было оценить влияние фичи без возможности проведения прямого A/B теста. Какие методы вы использовали?

Оценка способности работать с неопределенностью и структурировать задачи.

Как вы подходите к приоритизации задач в условиях, когда несколько стейкхолдеров имеют противоречивые требования к аналитике?

Проверка опыта менторства и развития культуры данных.

Опишите ваш опыт внедрения стандартов качества данных или новых методологий в команде. С какими трудностями вы столкнулись?

Оценка продуктового мышления и связи аналитики с бизнесом.

Какие метрики вы бы предложили для оценки успеха продукта в сфере HR-технологий, и как бы вы проверяли их чувствительность?

Проверка владения современными инструментами.

Как вы используете AI-инструменты (например, LLM) в своем ежедневном рабочем процессе для ускорения анализа или повышения его точности?

Похожие вакансии

Centicore
400 000 ₽ – 420 000 ₽

MLOps Engineer (ML pipelines / Kubernetes / Airflow)

SeniorУдалённоРоссия
Kubernetes · Airflow · Python · Docker · Helm · Jenkins · GitLab CI · MLflow · JupyterHub · Seldon · CUDA · Hadoop · Spark · Kafka · ELK · LLM · RAG
+17 навыков
Omega Solutions
2 000 ₽ – 2 700 ₽

Senior Data инженер

SeniorУдалённоРоссия
Java · Groovy · Hadoop · ETL · DWH · SQL · Docker · Apache NiFi · Airflow · SAP HANA · Apache Kafka · Apache Iceberg · Python · Go · Linux · Ansible · Zabbix · HDFS · Hive
+19 навыков
Volna.tech
386 000 ₽ – 436 000 ₽

Senior MLOps Engineer (Platform Development / LLMOps)

SeniorУдалённоРоссия
Docker · Helm · Jenkins · GitLab CI · Python · Airflow · JupyterHub · MLflow · Seldon · CUDA · Kubernetes · Hadoop · Spark · Kafka · ELK · LLMOps · RAG
+17 навыков
LIAN
260 000 ₽ – 350 000 ₽

Data Engineer / SAP HANA Developer (Senior)

SeniorУдалённоРоссия
SAP HANA · Python · Go · Java · C++ · Rust · Apache Iceberg · Apache Paimon · Apache Kafka · SQL · SRE · Observability
+12 навыков
Контур
Не указана

Data Scientist в RecSys

MiddleУдалённоРоссия
Machine Learning · Recommendation Systems · Collaborative Filtering · Content-Based Filtering · SASRec · Python · Data Analysis · A/B Testing
+8 навыков
Купер
Не указана

Data Engineering Team Lead (команда Clickhouse)

LeadУдалённоРоссия
ClickHouse · SQL · Python · Airflow · MySQL · PostgreSQL · S3 · API · Kafka · Spark · Scala · Java · CI/CD
+13 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

gusto
Страна
Канада
Зарплата
154 000 $ – 225 000 $