Senior Data Scientist, Lead

This is a fully remote position, open to applicants in Argentina, +2 more countries.

📋 Description

• Spearhead the design and execution of data science projects, establishing methodologies, technical strategies, and best practices across various initiatives.

• Create, assess, and enhance statistical and machine learning models to address intricate business challenges and yield actionable insights.

• Manage the entire data science lifecycle, encompassing data exploration, feature engineering, model development, validation, deployment, monitoring, and ongoing enhancement.

• Develop and deploy scalable data science and machine learning solutions utilizing AWS cloud services and established best practices.

• Offer technical support and guidance to Data Scientists and other technical team members.

• Partner with business stakeholders, product teams, data engineers, and software engineers to convert business challenges into data-driven solutions.

• Track model performance to ensure that solutions remain precise, scalable, and aligned with business goals.

• Contribute to data science strategies, analytical frameworks, and best practices that foster long-term business growth.

• Mentor team members, perform technical reviews, and encourage knowledge sharing.

⛳️ Requirements

• A minimum of 6 years of professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field.

• Demonstrated experience in leading technical initiatives or teams.

• Extensive hands-on experience with statistical modeling, machine learning algorithms, predictive analytics, experimentation, and data-driven problem solving.

• Advanced proficiency in Python.

• Familiarity with data science and machine learning libraries such as Pandas, NumPy, and Scikit-learn.

• Strong grasp of supervised and unsupervised learning, model evaluation, feature engineering, optimization, and production machine learning practices.

• Solid hands-on experience in designing or implementing data science and machine learning solutions within AWS environments.

• Proficient SQL skills and experience in handling large datasets, data warehouses, and complex data environments.

• Capacity to lead technical discussions, make architectural and modeling decisions, mentor professionals, and drive projects from concept through to production.

• Advanced proficiency in English.

• Strong analytical and critical-thinking abilities.

• Preferred experience with AWS SageMaker, S3, Glue, Redshift, Lambda, EMR, or Athena; production ML deployment and monitoring; MLOps; Spark; Docker; Kubernetes; Generative AI, LLMs, RAG, or NLP; AWS certifications; or experience in financial services/data-intensive sectors.

🏝️ Benefits

• Fully remote work.

• Long-term collaboration with international clients.

• A high-impact role in technical leadership.

• Opportunity to shape data science and machine learning strategies.

• A collaborative international environment with skilled technical teams.

• Continuous learning and professional development opportunities.

• An inclusive and challenging workplace.

• Chance to take ownership and influence technical strategy.

• Human review of final hiring decisions.