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3 часа Π½Π°Π·Π°Π΄

Data Scientist, Professional Senior (AI)

108Β 960 - 163Β 440$
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Scientist, Professional Senior (AI) (Machine Learning, Azure Databricks): Building and deploying predictive machine learning and artificial intelligence models from large, multidimensional machine-acquired datasets with an accent on feature engineering, statistical modelling, and time series forecasting. Focus on developing end-to-end ML solutions, processing data with PySpark and Databricks SQL, and translating model outputs into product and business insights.

Location: USA - Lincolnshire, Illinois

Salary: $108,960–$163,440 annual, plus a target annual cash incentive of 12% of base pay.

Company

hirify.global develops smart solutions for organizations, their employees, customers, and partners.

What you will do

  • Design, develop, and implement regression, classification, clustering, statistical, deep learning, and AI models.
  • Build and deploy end-to-end machine learning solutions using structured, unstructured, and machine-acquired data.
  • Apply feature engineering, data engineering, predictive modelling, and time series forecasting to identify actionable business and product insights.
  • Develop tools for large-scale data analysis, visualization, and communication of findings to product, service, business, and executive stakeholders.
  • Partner with experimentalists and cross-functional teams to translate models into testable hypotheses and improve data collection mechanisms.
  • Mentor less experienced data scientists and contribute to innovation initiatives, publications, and patent disclosures.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, or a related discipline.
  • 5+ years of experience with strong foundations in statistics, machine learning, deep learning, programming, and time series forecasting.
  • Hands-on experience with Azure, especially Azure Databricks, plus PySpark and Databricks SQL for large-scale data processing.
  • Experience building and deploying end-to-end ML solutions.
  • Familiarity with CI/CD, GitHub Actions, and automated deployment frameworks such as Databricks Asset Bundles.
  • Ability to work independently, take initiative, and collaborate with multidisciplinary teams.

Nice to have

  • Master’s degree and experience solving large-scale real-world industry problems.
  • Knowledge of R, Python, Java, TensorFlow, NLP with NLTK, Apache Spark, NoSQL databases, and common machine learning methods and packages.
  • Retail industry experience.
  • Understanding of data structures, software design, and architecture.

Culture & Benefits

  • Collaborative, inclusive environment with opportunities to learn, lead, and contribute to innovation.
  • Benefits include healthcare, wellness programs, inclusion networks, learning and development, parental leave, paid time off, and employee assistance programs.
  • Flexible team practices include hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day.
  • Eligibility for performance-based cash incentive programs and, for some roles, long-term incentive equity awards.

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