Senior Data Scientist Lead

Role Description

We are looking for a Senior Data Scientist Lead to join one of our international clients and lead the design, development, and delivery of data science solutions that generate measurable business value. This is a high-impact technical leadership role for an experienced Data Scientist who combines strong hands-on expertise with the ability to guide technical decisions, mentor other data professionals, and collaborate with business and engineering stakeholders.

You will work across the full data science lifecycle, from understanding business problems and defining analytical approaches to developing machine learning models, deploying solutions to production, and continuously improving their performance. The ideal candidate is highly analytical, hands-on, business-oriented, and comfortable working with cloud-based data and machine learning environments, particularly AWS.

Qualifications

• 6+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field, with proven experience leading technical initiatives or teams.
• Strong hands-on experience with statistical modeling, machine learning algorithms, predictive analytics, experimentation, and data-driven problem solving.
• Advanced proficiency in Python, with experience using common data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, or similar.
• Strong understanding of supervised and unsupervised learning, model evaluation, feature engineering, optimization, and production machine learning practices.
• Solid hands-on experience designing or implementing data science and machine learning solutions in AWS environments.
• Strong SQL skills and experience working with large datasets, data warehouses, and complex data environments.
• Proven ability to lead technical discussions, make architecture and modeling decisions, mentor other professionals, and drive projects from concept to production.
• Advanced English proficiency, with the ability to communicate complex technical concepts clearly with international teams, stakeholders, and leadership.
• Strong analytical and critical-thinking skills, with a pragmatic approach to solving complex business and technical challenges.

Requirements

• Experience with AWS services such as SageMaker, S3, Glue, Redshift, Lambda, EMR, or Athena.
• Experience deploying and monitoring machine learning models in production.
• Experience with MLOps and ML lifecycle automation.
• Experience with Spark or other distributed data processing frameworks.
• Experience with Docker and Kubernetes.
• Experience with Generative AI, LLMs, RAG, or NLP solutions.
• AWS certifications related to Data, Machine Learning, or Solutions Architecture.
• Experience working in financial services or other data-intensive industries.

Benefits

• 100% remote work.
• Long-term engagement with international clients.
• High-impact technical leadership role.
• Opportunity to influence data science and machine learning strategy.
• Collaborative international environment with experienced technical teams.
• Continuous learning and professional growth opportunities.