Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-роль в крупной компании с ответственностью за рабочие модели и хорошими возможностями для развития и отдыха; при этом основной фокус - поддержка и улучшение существующих решений, а не создание новых.
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Поддержка моделейАктуальные технологииПоддержка развитияДополнительные выходные
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist (AI): Maintaining, monitoring, and improving production analytics and machine learning solutions for North American clients with an accent on model reliability, data quality, governance, and advanced statistical modeling. Focus on validating model performance, investigating root causes of data and model issues, building analytical pipelines, and implementing corrective actions in large-scale data environments.
Location: Sofia, Bulgaria; hybrid; flexible working hours and home office available.
Company
hirify.global is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance.
What you will do
Analyze, process, and document large datasets using analytical, machine learning, and data mining techniques.
Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines.
Monitor model performance and stability, including validation, back-testing, and performance reporting.
Investigate data and model issues, identify root causes, and implement corrective actions or model updates.
Maintain documentation, version control, audit trails, and data quality practices for governance and compliance.
Assess model outputs, conduct ROI and benefit analyses, present findings, and develop best practices and business assumptions.
Requirements
Strong understanding of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
Understanding of regression analysis, machine learning, AI, deep learning, and other advanced modeling approaches.
Strong understanding of model cross-validation and methods for penalizing unnecessary complexity, including regularization, Bayesian shrinkage, and in-sample versus out-of-sample evaluation.
Fluency with statistical significance tests and Monte Carlo simulation.
Ability to write near-production-level code in at least one general-purpose programming language, such as Python or C++.
Understanding of technologies for processing large datasets, including Apache technologies such as Hadoop and Spark, modern databases such as graph and time-series databases, and natural language processing tools for parsing unstructured data.
Culture & Benefits
Career development pathways, learning and development programs, online educational training, learning materials, and books.
Friendly work environment, recognized team spirit, and recreation time.
Social benefits including life insurance, food vouchers, additional health insurance, monthly flex allowance, internet coverage, corporate discounts, family allowances, a Multisport card, Sharesave plan, and employee assistance program.
25 days of paid vacation, one additional birthday day off, and three paid days for social responsibility events.
Flexible working hours and home office options.
Inclusive, equal-opportunity workplace with accommodation available for disabilities or special needs.
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