Senior Data Scientist Bucharest

Senior Data Scientist
Bucureşti
Bucharest, Bucharest, Romania

Job Description

Role Overview

The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable  insights.  This role requires strong expertise in Python-based AI/ML development, big data processing, and
- based AI platforms (Databricks, Azure ML, AWS Sage
Maker, GCP Vertex AI).

Key Responsibilities

• Data Exploration & Feature Engineering

• Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies.
• Engineer and select features for optimal model performance, leveraging domain understanding.

• Machine Learning & Statistical Modelling

• Implement both classical ML methods (regression, clustering,
  - series forecasting) and advanced algorithms (XGBoost, Light
  GBM).
• Address computer vision, NLP, and generative tasks using Py
  Torch, Tensor
  Flow, or Transformer-based models.

• Model Deployment & MLOps

• Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or Sage
  Maker Pipelines.
• Monitor model performance over time and manage retraining to mitigate drift.

• Business Insights & Decision Support

• Communicate analytical findings to key stakeholders in clear, actionable terms.
• Provide
  - driven guidance to inform product strategies and business initiatives.

• Ethical AI & Governance

• Ensure compliance with regulations (GDPR) and implement bias mitigation.
• Employ model explainability methods (SHAP, LIME) and adopt best practices for responsible AI

• Technical Skills

• Programming: Python (Num
  Py, Pandas), R, SQL.
• ML/DL Frameworks: Scikit-learn, Py
  Torch, Tensor
  Flow, Hugging Face Transformers.
• Big Data & Cloud: Databricks, Azure ML, AWS Sage
  Maker, GCP Vertex AI.
• Automation: MLflow, Kubeflow, Weights & Biases for experiment tracking and deployment.

• Architectural Competencies 

• Awareness of data pipelines, infrastructure scaling, and
  - native AI architectures.
• Alignment of ML solutions with overall data governance and security frameworks.

• Soft Skills

• Critical Thinking: Identifies business value in AI/ML opportunities.
• Communication: Distils complex AI concepts into
  - friendly insights.
• Leadership: Mentors junior team members and drives innovation in AI.

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses,
  - based recognition awards, referral bonus;  
• Career Development: Career coaching, global career opportunities,
  - linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions,
  -
  - on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.