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2 дня назад

Staff Data Scientist / Machine Learning Engineer (AI)

3 050 - 5 250€
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Staff Data Scientist / Machine Learning Engineer (AI): Building an AI-powered advertising optimization platform for customer lifetime value prediction and automated signal delivery, with an accent on tiered modeling, feature engineering, calibration, and production ML infrastructure. Focus on monitoring model drift, resolving cross-platform identities, integrating advertising APIs, and ensuring reliable batch processing through testing and CI/CD.

Location: Worldwide

Salary: EUR 3050–5250 per month gross; final compensation depends on experience, location, and professional growth.

Company

hirify.global is an international technology company developing software solutions for operational efficiency and data-driven decision-making, with expertise strengthened since 2007.

What you will do

  • Build and maintain predictive customer lifetime value models with XGBoost, CatBoost, and BG/NBD in a tiered scoring architecture.
  • Design calibration layers using normalization methods, haircut scalars, and asymmetric loss functions to produce platform-ready advertising signals.
  • Develop BigQuery Gold-layer feature tables with RFM metrics, behavioral embeddings, category affinity, and purchase velocity, while monitoring feature quality.
  • Monitor model drift, distribution shifts, residuals, deployment cohorts, and causal contamination in retraining data.
  • Maintain identity-resolution algorithms connecting GA4 behavioral identifiers with Shopify transactional identifiers.
  • Develop production-grade Python workloads on Google Cloud Run Jobs with Airflow, APIs, automated testing, CI/CD, idempotency, and dry-run safeguards.

Requirements

  • 5+ years of hands-on Machine Learning Engineering experience with Python, including development, deployment, and maintenance of production-grade ML models.
  • Experience with gradient boosting algorithms such as XGBoost, CatBoost, or LightGBM, including tuning, feature-importance analysis, and advanced evaluation.
  • Strong SQL and BigQuery skills for complex feature engineering, scheduled transformations, and data validation.
  • Experience deploying and maintaining ML workloads on GCP, including Cloud Run, Airflow/Composer, Vertex AI, and Pub/Sub.
  • Understanding of model calibration, business-oriented loss functions, and prediction-error impact on downstream optimization systems.
  • Experience integrating ML outputs with external systems through APIs, such as advertising, recommendation, pricing, or bidding platforms.
  • English at Upper-Intermediate level or above is required.

Nice to have

  • Experience in e-commerce or DTC environments, especially LTV prediction, purchase forecasting, churn modeling, or customer segmentation.
  • Knowledge of BG/NBD, Gamma-Gamma, similar probabilistic customer models, or strong Bayesian statistics foundations.
  • Experience with advertising integrations such as Google Ads API, Meta Conversions API, or similar server-side tracking systems.
  • Knowledge of identity resolution and entity matching, including graph-based stitching, probabilistic matching, or cross-device resolution.
  • Experience with Terraform, CI/CD design, and Docker for ML workloads.
  • Knowledge of causal inference, advertising A/B testing, or multi-armed bandit optimization.
  • Familiarity with AI-assisted development tools and agentic coding workflows such as Claude Code or Cursor.

Culture & Benefits

  • Work is available worldwide.
  • Access to company BA meetups and compensation for international professional certificates.
  • Opportunities for technical, resource-management, and mentoring growth.
  • Access to the hirify.global Knowledge Base with courses in negotiation, Agile, product ownership, microservices, API design, SQL, AWS, GDPR, UX/UI, and people management.
  • Projects with international businesses and opportunities for professional development.

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