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2 дня назад

Data Scientist Mid-Level (AI)

Формат работы
remote (только Argentina)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Argentina
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
Data Scientist Mid-Level (AI): Developing analytical, statistical, machine learning, and applied AI solutions for business and client use cases with an accent on predictive modeling, experimentation, and reproducible Databricks workflows. Focus on translating business questions into measurable analytical approaches, evaluating models and LLM-enabled workflows, and communicating findings to technical and non-technical stakeholders.

Location: Remote in Argentina

Company

hirify.global is an experience innovation company that combines data, AI, creativity, and technology to build digital solutions and customer experiences for leading organizations.

What you will do

  • Develop analytical, statistical, machine learning, and applied AI solutions for business and client use cases.
  • Translate business questions into analytical approaches, modeling strategies, hypotheses, features, evaluation methods, and measurable outputs.
  • Design analyses and models for segmentation, forecasting, propensity modeling, anomaly detection, experimentation, recommendations, and decision support.
  • Build and maintain reproducible notebook-based workflows and analytical assets in Databricks and other cloud environments.
  • Evaluate, train, tune, validate, and compare machine learning and AI models, including LLM-enabled workflows.
  • Collaborate with analysts, AI specialists, engineers, data engineers, architects, and client stakeholders to deliver practical solutions.

Requirements

  • 3+ years of experience in data science or a related analytical role.
  • Strong knowledge of statistics, probability, machine learning, feature engineering, model evaluation, and error analysis.
  • Experience working independently with structured, semi-structured, and selected unstructured datasets.
  • Knowledge of experimentation design, model validation, predictive outputs, and business-oriented analytical problem framing.
  • Strong familiarity with Python, SQL, notebook-based development, Databricks, and collaborative data science workflows.
  • Strong written and verbal English communication skills required, including the ability to explain methods and findings to non-technical stakeholders.

Nice to have

  • Experience with Agile methodologies and consulting.
  • Databricks associate-level training or certification.
  • Google Cloud, Microsoft Azure, Python, machine learning, experimentation, statistics, forecasting, or applied AI training.

Culture & Benefits

  • Remote and hybrid work options depending on the country.
  • International mobility and professional development programs.
  • Access to advanced tools, training, and industry experts.
  • Medical, dental, and vision insurance for employees and families, with employer contributions to Health Savings Accounts.
  • Inclusive, values-driven culture focused on creativity, diversity, autonomy, continuous learning, and knowledge-sharing.

Hiring process

  • Talent Acquisition reviews applications and contacts candidates whose experience aligns with the role.
  • The CV should include relevant experience and expertise.
  • Reasonable accommodations are available during the interview process.

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