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12 часов назад

Principal Data Scientist (CX Analytics)

109 100 - 224 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Poland +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Data Scientist (CX Analytics): Building applied analytics, predictive models, and automated data assets from structured and unstructured customer data with an accent on statistical modeling, machine learning, AI, and LLM-enabled analysis. Focus on integrating complex data sources, designing experiments, operationalizing analytical solutions, and mentoring data scientists while influencing business decisions.

Location: Campus-based hybrid role in Portland, Maine, USA

Base salary: $109,100–$224,000 per year

Company

hirify.global is a Fortune 500 provider of employee benefits and service solutions, serving more than 39 million people worldwide.

What you will do

  • Lead applied data science projects that uncover drivers, patterns, risks, and growth opportunities from structured and unstructured customer data.
  • Integrate high-volume data from DB2, SQL Server, Web APIs, Teradata, and other sources to create analytical data assets.
  • Build predictive models using statistical inference, regression, machine learning, feature selection, feature extraction, scoring, and clustering.
  • Design experiments, interpret results, and communicate actionable findings to business and executive stakeholders.
  • Automate and integrate analytical solutions into existing business processes in partnership with BI Analysts, Data Engineers, and IT.
  • Set data science best practices while coaching and mentoring peers and team members.

Requirements

  • Bachelor’s degree in a quantitative field; a Master’s degree or PhD is preferred.
  • Approximately 8 years of professional or equivalent relevant experience is preferred.
  • Advanced SQL skills, including complex queries across multiple tables and databases, data validation, reconciliation, and logical data modeling.
  • Experience building automated analytics pipelines with file I/O, database integrations, APIs, DevOps libraries, and cloud platforms.
  • Expertise in statistical modeling, machine learning, data visualization, and leading high-impact analytics projects end to end.
  • Strong communication, financial services, project management, executive engagement, leadership, and mentoring capabilities.

Nice to have

  • Master’s degree or PhD in a quantitative field.
  • Experience scaling analytics solutions in the cloud and partnering with IT on deployment.
  • Experience with AI and LLMs for coding and extracting signals from raw text.

Culture & Benefits

  • Award-winning culture with a strong focus on inclusion and diversity.
  • Health, vision, dental, short- and long-term disability, and mental health benefits.
  • Generous paid time off, including paid volunteer time.
  • Performance-based incentive plans and flexible work environments.
  • 401(k) contributions of up to 9.5%, tuition reimbursement, student loan repayment options, and career advancement opportunities.

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