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Research Data Scientist III

Оценка ИИ

Высокая оценка обусловлена престижем компании ZoomInfo, конкурентной заработной платой и возможностью работать с передовыми технологиями (AI, Graph analysis). Позиция предлагает отличный баланс между исследовательской деятельностью и практическим применением в бизнесе.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сильной академической базы (Master's или PhD) и опыта работы с облачными платформами данных (Snowflake, Databricks). Высокая сложность обусловлена необходимостью сочетать глубокие технические навыки с бизнес-аналитикой в разных доменах (HR, финансы, маркетинг).

Анализ зарплаты

Медиана155 000 $
Рынок135 000 $ – 195 000 $
Оценка ИИ

Предлагаемая зарплата ($128k - $201k) полностью соответствует и даже немного превышает рыночные стандарты для Senior Data Scientist в регионе Мэриленд/Вашингтон. Верхняя граница диапазона характерна для специалистов с PhD или уникальным опытом в области AI.

Сопроводительное письмо

I am writing to express my strong interest in the Research Data Scientist III position at ZoomInfo. With a Master's degree in a STEM field and extensive experience in building data science solutions for HR and Marketing analytics, I am confident in my ability to contribute to your team's mission of driving business growth through AI-ready insights. My background in leveraging Python, SQL, and Snowflake to deploy machine learning models aligns perfectly with the technical requirements of this role.

Throughout my career, I have focused on translating complex data into actionable business recommendations. I have a proven track record of partnering with stakeholders to define key performance indicators and creating high-impact visualizations in Tableau that facilitate data-driven decision-making. I am particularly drawn to ZoomInfo's fast-paced, ambitious culture and your commitment to staying at the cutting edge of applied AI sciences, including causal modeling and graph analysis.

I am eager to bring my expertise in research methodology and predictive analytics to ZoomInfo to help optimize go-to-market strategies and human capital management. Thank you for considering my application. I look forward to the possibility of discussing how my skills can support ZoomInfo's continued success.

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Описание вакансии

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

As a Research Data Scientist, you will leverage theory, data, and research to solve business problems. You will support data science and analytics efforts across Marketing, Finance, HR, and related functions. You will contribute to building and improving measurement and reporting processes To this end, you will help teams access insights needed to operate effectively

This role will be responsible for drawing insights from large data sets, defining and implementing key model Performance Indicators, and for communicating insights and trends to support business decision-making, as it relates to data science-enabled decisions. This role will work with datasets relevant to assigned projects and business areas and be responsible to work closely with business stakeholders on measurement, success metrics, and analytics. Effectiveness in this position will require an understanding of technical methods and data engineering necessary to build and implement data science models, as well as knowing general industry trends, business objectives, and workforce dynamics. You will use data to develop insights, forecasts, metrics, dashboards and recommendations to inform decisions about our operations and go-to-market strategy.

What You’ll Do (Essential Functions)

  • Partner with stakeholders to understand measurement and analytic needs and support development of solutions
  • Translate and summarize data into written reports, tables, graphs, dashboards and charts to convey information to management
  • Create and present high-impact data visualizations, communications, and data "stories" alongside clear, compelling recommendations
  • Communicate complex ideas/findings clearly and concisely. Use a combination of internal and external data to generate insights about human capital and/or marketing  strategy
  • Contribute to the development and maintenance of measurement and analytics processes
  • Evaluate emerging techniques and prototyping solutions to enhance data solutions
  • Collaborate with cross-functional teams to support analytics initiatives
  • Learn & stay current on AI and data analytics, including retention/attrition/survival modeling, Graph/Network analysis, causal modeling, hypothesis testing, bias and ethics (particularly in AI), and applied AI sciences use cases
  • Report findings that drive key operational  decisions by creating useful and appropriate data outputs and visualizations tailored for the intended audiences
  • Contribute ideas and support research initiatives aligned to team priorities
  • Share knowledge and collaborate with teammates to improve analytics practices
  • Interest in thought leadership and practicing the cutting edge of data science, including AI and machine learning techniques

Comply with all applicable Company policies and proceduresRegular and consistent attendance, including in-person attendance where required

  • Other work as assigned by your manager or leadership

The information in this job description represents a summary of the role and is not intended to be a comprehensive list of job duties. Responsibilities and duties of the position may change without notice at the Company’s discretion.

What You Bring (Required Qualifications)

  • Master's Degree in STEM related field.
  • 2+ years of experience using metrics, data, and/or analytics to inform decisions, strategies, and/or research questions.
  • 2+ years of experience building data science solutions for either People/Talent Analytics (HR), Market Research (Marketing), Finance Operations/Strategy, and/or applied research.
  • 2+ years of experience managing data and analytics assets for large organizations.
  • 2+ years of experience conducting research and/or data analysis in an organization or consulting environment, including formulating questions with customers, collecting and analyzing data, generating insights, and sharing results with various types of audiences.
  • Possess skills and experience related to preparation, manipulation, analysis, and visualization tools such as R, Python, SQL, and Tableau.
  • Possess skills and experience in deploying and managing data science solutions (ML, AI, etc.) using tools such as Snowflake, Data Bricks, and Google Cloud Platform.

Preferred requirements

  • Doctoral degree in a business, quantitative (STEM), or social science field (e.g., Accounting, Finance, Industrial Organizational Psychology, Organizational Behavior, Business Administration, Business Analytics, Economics, Management, HR, Marketing)
  • Possess skills and experience related to preparation, manipulation, analysis, and visualization tools such as R, Python, SQL, and Tableau
  • Familiarity with designing and setting up intuitive data visuals and dashboards
  • Experience working with economic data
  • Experience presenting analyses and technical information to non-technical and technical senior audiences.

#LI-JH1 #LI-Hybrid

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$128,100—$201,300 USD

About us:

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: 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. ZoomInfo does not administer lie detector tests to applicants in any location.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • R
  • SQL
  • Tableau
  • Snowflake
  • Databricks
  • Google Cloud Platform
  • Machine Learning
  • Artificial Intelligence
  • Causal Modeling
  • Hypothesis Testing
  • Graph Analysis
  • Data Visualization

Возможные вопросы на собеседовании

Проверка опыта работы с ключевым стеком компании и понимания жизненного цикла ML-моделей.

Расскажите о вашем опыте развертывания и управления ML-решениями с использованием Snowflake или Databricks. С какими основными трудностями вы сталкивались?

Вакансия предполагает работу с бизнес-метриками. Важно понять, как кандидат связывает код с бизнес-результатом.

Как вы подходите к определению и внедрению ключевых индикаторов эффективности (KPI) для новой модели машинного обучения?

В описании упоминается причинно-следственное моделирование. Это продвинутая область DS.

Можете ли вы привести пример проекта, где вы использовали причинно-следственный вывод (causal inference) или анализ выживаемости для решения бизнес-задачи?

Роль требует взаимодействия с нетехническими стейкхолдерами.

Опишите случай, когда вам нужно было объяснить сложную статистическую концепцию или результат модели руководству. Какие инструменты визуализации вы использовали?

Проверка этической грамотности, упомянутой в требованиях.

Как вы подходите к выявлению и минимизации предвзятости (bias) в алгоритмах ИИ, особенно при работе с данными о персонале (HR)?

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zoominfo
Страна
США
Зарплата
128 100 $ – 201 300 $