- Страна
- Канада
- Зарплата
- 168 300 $ – 217 800 $
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на вакансии с ИИ

Senior Data Scientist, People Analytics
Высокая оценка обусловлена сильным брендом компании, удаленным форматом работы и конкурентной заработной платой. Роль предлагает уникальную возможность стоять у истоков внедрения AI в HR-процессы, что является трендовым и перспективным направлением.
Сложность вакансии
Роль требует редкого сочетания навыков: глубокой экспертизы в Data Science (SQL, Python, BigQuery) и специфического опыта в People Analytics (HR-метрики, жизненный цикл сотрудника). Высокий уровень ответственности и прямое взаимодействие с руководством повышают планку требований к коммуникации.
Анализ зарплаты
Предлагаемый диапазон (168-217 тыс. CAD) находится на верхней границе рынка для Senior Data Scientist в Канаде. Это соответствует уровню топовых технологических компаний США, нанимающих канадских специалистов на удаленную работу.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist, People Analytics position at Thumbtack. With over four years of experience in data science and a specialized focus on People Analytics, I am excited about the opportunity to help Thumbtack evolve into an AI-native People Data Science function. My background in building scalable data pipelines in BigQuery and creating impactful Tableau dashboards aligns perfectly with your team's mission to drive talent insights.
In my previous roles, I have successfully translated complex quantitative findings into actionable recommendations for senior leadership, covering the entire employee lifecycle from recruiting to retention. I am particularly drawn to Thumbtack’s forward-thinking approach to integrating AI tools into decision support and experimentation. I am confident that my technical proficiency in SQL and Python, combined with my passion for data-informed talent management, will allow me to make a significant contribution to your team.
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Описание вакансии
Thumbtack helps millions of people confidently care for their homes.
Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.
About the People Data Science Team
The People Data Science (PDS) team drives business outcomes through talent insights, spanning high-impact work across the employee lifecycle. We’re now in the early stages of evolving our function to be AI-native, and we’re looking for someone eager to explore, build, and shape what comes next.
About the Role
The Senior Data Scientist will play a foundational role in shaping how data, analytics, and AI power Talent decisions across Thumbtack.
You’ll partner closely with the People Team and the business to tackle high-impact questions, define success metrics, and deliver insights—while getting hands-on building the data foundations and products that make this work scalable. This is a high-visibility role with exposure to senior leaders, spanning a wide range of People topics and helping define what modern, analytically sound People Data Science looks like in practice.
What you'll do
- Tell clear, business-relevant stories about our talent using data and insights.
- Get hands-on with AI to explore where it meaningfully improves insight generation, decision support, and experimentation.
- Design, own, and evolve the People data foundation, including pipelines and BigQuery data models, in partnership with Data Engineering and HR Operations
- Build scalable analytics products and tools, including Tableau dashboards and AI-enabled products
- Partner cross-functionally with People Team and business leaders to identify and scope high-impact talent questions, analyze using quantitative methods, and translate insights into clear, actionable recommendations.
- Own initiatives end-to-end across the People Team (Recruiting, Talent Management, DEIB, and more).
- Foster a culture of data-informed decision-making across the People Team and the broader organization.
In order to be successful, you must bring
- BA/BS degree in quantitative field such as Economics, Statistics, or Psychology
- 4+ years of experience, with at least 1 year in People Data Science/ People Analytics
- Experience (and interest) in managing data pipelines and data warehousing
- Strong written and verbal communication skills: this role will require writing content and explaining results to a variety of audiences, including senior leadership
- Strong experience using SQL to query large datasets, proficiency with Tableau and familiarity with statistics/programming languages (e.g., R, Python)
- Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams
- Strong prioritization and project management skills
Expected salary ranges
- For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $168,300 - $217,800.
Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions.
#LI-Remote
Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.
Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com.
If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/.
We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.
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Навыки
- Tableau
- Python
- SQL
- Statistics
- BigQuery
- Data Modeling
- Data Pipelines
- R
- People Analytics
Возможные вопросы на собеседовании
Проверка опыта работы со специфическими HR-данными и понимания бизнес-процессов в этой области.
Расскажите о самом сложном проекте в области People Analytics, который вы реализовали: какую бизнес-проблему вы решали и какие метрики использовали?
Вакансия предполагает переход к AI-native подходу. Важно понять, как кандидат видит применение LLM или ML в HR.
Как, по вашему мнению, генеративный ИИ может качественно изменить процесс принятия решений в управлении талантами в ближайшие 2 года?
Роль включает работу с BigQuery и Data Engineering. Проверка навыков построения архитектуры данных.
Опишите ваш опыт проектирования пайплайнов данных для HR-отчетности. Как вы обеспечиваете качество и консистентность данных из разных источников (ATS, HRIS)?
Data Scientist в этой роли должен уметь объяснять сложные вещи простыми словами для HR-бизнес-партнеров.
Как бы вы объяснили концепцию статистической значимости или логистической регрессии руководителю HR, не имеющему технического образования?
Проверка этического подхода к анализу данных сотрудников.
Какие этические аспекты и риски конфиденциальности вы учитываете при анализе данных о вовлеченности или производительности сотрудников?
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- Страна
- Канада
- Зарплата
- 168 300 $ – 217 800 $