Назад
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20 часов назад

Senior Data Scientist (AI)

99 400 - 155 850$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Senior Data Scientist (AI) (Machine Learning/Statistics): Developing predictive, descriptive, and prescriptive models from member, financial, and organizational data with an accent on advanced algorithms, model lifecycle execution, and ethical AI. Focus on analyzing large datasets, coding automated processes, interpreting model results, and presenting insights for mission-critical decisions.

Location: Hybrid role based in Vienna, Virginia or Pensacola, Florida, United States. Monday–Friday, 8:00 AM–4:30 PM. Applicants must be authorized to work in the United States without current or future sponsorship.

Salary: $99,400–$155,850 annually.

Company

Credit union providing financial services and member-focused products, services, and operational support.

What you will do

  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms.
  • Analyze large datasets and metadata to identify insights and support mission-critical decisions.
  • Test hypotheses and models, interpret results, and use trend analysis to guide business decisions.
  • Develop software programs, algorithms, and automated processes for data analysis.
  • Transform data into charts, tables, and other formats that support effective decision-making.
  • Lead small projects, collaborate with subject matter experts, and present findings to diverse stakeholders.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
  • 3–5 years of experience in exploratory data analysis.
  • Knowledge of statistics, programming, data modeling, simulation, and advanced mathematics.
  • Experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, and AWS.
  • Knowledge of model lifecycle execution, model development, technical writing, data storytelling, and technical presentations.
  • United States work authorization without current or future sponsorship is required.

Nice to have

  • Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.

Culture & Benefits

  • Full-time employment with competitive pay and benefits.
  • Work in an energized, engaged, and mission-oriented environment.
  • Regular weekday schedule with hybrid work at a Virginia or Florida location.

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