Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Design and deploy ML models for critical business functions like LTV prediction, personalization, and content tagging with an accent on improving data pipelines, model deployment flows, and automation of ML workflows. Focus on analyzing model performance, identifying drift, and evaluating alternative modeling approaches for forecasting tasks.

Location: Remote from Cyprus, Poland, or Ukraine

Company

hirify.global is a global company with Ukrainian roots, offering innovative wellness solutions through apps like Muscle Booster, Yoga-Go, and WalkFit to 25.5 million users.

What you will do

• Design and deploy ML models that support critical business functions such as LTV prediction, user classification, personalization, and content tagging.
• Analyze model performance over time, identify drift and degradation, and propose improvements.
• Work closely with Marketing teams to support decision-making, experiment analysis, and performance forecasting.
• Improve data pipelines and model deployment flows together with data engineers.
• Design and maintain production ML pipelines: feature preparation, training jobs, inference workflows.
• Evaluate alternative modeling approaches and proxies for forecasting tasks.

Requirements

• 5+ years of experience in Data Science or product analytics involving machine learning.
• Strong proficiency in Python, SQL, and core DS/ML libraries such as NumPy, Pandas, Scikit-learn, XGBoost / CatBoost.
• Solid understanding of core ML algorithms and evaluation metrics.
• Proven experience developing, evaluating, and maintaining ML models for real business problems, especially forecasting and predictive modeling.
• Practical experience building and maintaining end-to-end ML pipelines and hands-on experience with AWS services (e.g., SageMaker, Glue, Redshift, S3, Lambda).
• Understanding of MLOps practices and experience working with LLM APIs in applied use cases.

Nice to have

• Experience with subscription-based products or LTV modeling.
• Experience with model calibration and monitoring in production.
• Background in Marketing Analytics.
• Experience with Docker and Airflow.
• Interest in model interpretability and explainability.

Culture & Benefits

• Work within the core ML team focused on designing and deploying impactful machine learning solutions.
• Collaborate closely with stakeholders across the company and take ownership of end-to-end ML systems.
• Be part of a rapidly scaling global company with a diverse, remote-friendly team of 700+ professionals.
• Contribute to innovative apps that empower millions to transform their lifestyles.
• Operate with values emphasizing growth, results, leadership by example, and being 'well-makers'.