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17 часов назад

Data Scientist II - CX Analytics

73 300 - 150 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

Текст:
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TL;DR
Data Scientist II - CX Analytics (AI/data science): Applying statistical methods, machine learning, and AI capabilities to structured and unstructured data to uncover customer-related drivers and patterns with an accent on predictive modeling, data integration, and actionable business insights. Focus on building modeling-ready data assets, tuning predictive models, automating analytical solutions, and communicating findings to business and executive stakeholders.

Location: Portland, Maine, USA; campus-based role

Base salary: $73,300–$150,500 per year

Company

hirify.global is a Fortune 500 provider of employee benefits and service solutions, supporting more than 39 million people worldwide with approximately 10,000 employees.

What you will do

  • Design and execute analytical solutions using optimization, simulation, data mining, and statistical methods.
  • Integrate high-volume data from DB2, SQL Server, Web API, Teradata, and other sources for ad hoc analyses and larger studies.
  • Validate, aggregate, and reconcile data to create modeling-ready data frameworks.
  • Construct and tune predictive models for forecasting, risk identification, scoring, clustering, and explanation of observed events.
  • Interpret results and communicate findings and business value to managers and senior leadership.
  • Automate analytical solutions and support their integration into existing business processes while mentoring junior data science peers.

Requirements

  • Bachelor’s degree in a quantitative field; a master’s degree is preferred.
  • Approximately four years of professional or equivalent relevant experience is preferred.
  • Expertise in at least two core data science areas, including programming and automation, data visualization, statistics and statistical modeling, or data extraction, transformation, and loading.
  • Experience with complex SQL queries, multi-source data integration, database exploration, APIs, automated analytics pipelines, and machine learning workflows through model deployment.
  • Strong communication, analytical, prioritization, collaboration, and attention-to-detail skills, with the ability to manage multiple projects independently.
  • Experience in financial services and the ability to coach or mentor team members are preferred.

Nice to have

  • Experience with DevOps, process automation, data mining, web scraping, or object-oriented software.
  • Leadership experience with senior management and executive stakeholders.
  • Entrepreneurial, results-oriented problem-solving approach and curiosity about emerging statistical methods and tools.

Culture & Benefits

  • Flexible work environments within a campus-based role structure.
  • Health, vision, dental, short- and long-term disability coverage, and mental health support.
  • Paid time off, including paid volunteer time.
  • Performance-based incentive plans and a 401(k) contribution of up to 9.5%.
  • Tuition reimbursement, student loan repayment options, and career advancement opportunities.

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