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3 дня назад

Senior Data Scientist - Content (Machine Learning)

170 000 - 200 000$
Формат работы
remote (только USA)
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 - Content (Machine Learning): Developing and implementing machine learning strategies for lead scoring, churn modeling, pricing, personalization, and fraud detection with an accent on end-to-end data science, feature engineering, and model monitoring. Focus on enhancing data infrastructure, communicating findings to technical and non-technical stakeholders, and delivering measurable business impact.

Location: Remote - US

Base pay: $170,000–$200,000 USD annually, plus equity; an annual bonus may apply depending on the role.

Company

hirify.global is an AI-native travel technology platform providing infrastructure for business travel, group travel, human agents, and AI agents.

What you will do

  • Develop and implement data science strategies for lead scoring, churn modeling, pricing, personalization, and fraud detection.
  • Collaborate with hirify.globalering and business stakeholders to turn analysis into implemented solutions and measurable business impact.
  • Own end-to-end data science initiatives, including data gathering, analysis, feature hirify.globalering, model selection, training, inference, and monitoring.
  • Improve data infrastructure and analytics capabilities in partnership with data infrastructure and analyst teams.
  • Communicate findings clearly to technical and non-technical audiences.

Requirements

  • 5+ years of industry experience as a Data Scientist or ML hirify.globaler in high-growth environments.
  • Strong knowledge of machine learning algorithms and statistical modeling.
  • Proficiency in Python, including scikit-learn, NumPy, and pandas, as well as SQL.
  • MS or PhD in mathematics, statistics, operations research, economics, hirify.globalering, computer science, or a related quantitative discipline.
  • Ability to prioritize simple, effective machine learning solutions and communicate clearly with technical and non-technical stakeholders.
  • Ability to work effectively in a fast-paced, dynamic environment and take initiative.

Nice to have

  • Experience with Snowflake and Streamlit.

Culture & Benefits

  • Hybrid-hub model with support for fully remote work or work from an office.
  • Equity is provided to all employees.
  • Some roles may include annual bonuses or commissions.
  • Benefits and perks vary by employment type, location, and role.

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