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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$180к-240к/год
$150к$190кмедиана$220к
По похожим ролям (48) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.4к)
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Хорошая вакансия
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Вакансия предлагает понятный фокус на data science, хорошую зарплатную вилку и современные инструменты, но широкий диапазон уровней и консалтинговый формат оставляют неопределённость по точной роли и проектам.
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Размытый уровеньКлиентские проектыСовременный стекХорошая зарплатаМедицинские данные
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Architect (Data Science) (Machine Learning/Healthcare Data): Building production data pipelines and predictive models for enterprise data science products with an accent on feature engineering, structured and unstructured healthcare data, and scalable cloud deployment. Focus on extracting meaningful signals through clustering, text analytics, and PCA, optimizing statistical and machine learning models, and maintaining reliable production systems.
Location: Remote
Salary: $180,000–$240,000 per year
Company
hirify.global is a data-focused engineering and consulting company that helps clients use Google Cloud, Salesforce, and advanced data platforms to drive decisions and business impact.
What you will do
Design and build data ingestion pipelines for feature engineering and machine learning.
Create predictive features from structured and unstructured data, including healthcare data, text, images, and video.
Perform exploratory data analysis and apply clustering, text analytics, PCA, and other feature extraction and selection techniques.
Develop, tune, optimize, and deploy statistical and machine learning models using production engineering practices.
Build monitoring and data quality processes that keep enterprise data science products reliable.
Document technical approaches and collaborate with data scientists, data engineers, product managers, and stakeholders.
Requirements
6+ years of experience across data science and machine learning for the lead level; final leveling is determined during interviews.
Expert-level SQL and Python.
Experience with relational and non-relational databases, ETL, and data processing tools such as Apache Spark.
Experience with data visualization, monitoring, automated testing, CI/CD, and Docker.
Experience deploying solutions to GCP or another cloud platform.
Ability to maintain data and model output accuracy and reliability from development through production.
Nice to have
Consulting or professional services experience.
Healthcare data domain knowledge.
Knowledge of healthcare protocols such as HL7, FHIR, or DICOM.
Culture & Benefits
Remote full-time work in a data-first, entrepreneurial environment.
Health insurance and paid vacation, holidays, sick leave, parental leave, and bereavement leave.
401(k) employer match.
Employee referral bonuses.
Standard hiring verification practices may include background and employment checks.
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