Senior Data Scientist

This is a fully remote position, open to applicants in Spain.

📋 Description

• Manage and execute data science and business intelligence projects from initial exploration and experimentation to full production deployment.

• Develop predictive models and machine learning solutions to enhance business decision-making and operational efficiency.

• Examine extensive datasets to extract actionable insights, identify trends, and uncover growth opportunities.

• Design and assess experiments and A/B tests.

• Collaborate with Product, Sales, Marketing, Engineering, business stakeholders, and analytics teams.

• Enhance and sustain scalable data pipelines and machine learning workflows in partnership with Data and ML engineering teams.

• Leverage AI tools, copilots, and AI agents to streamline workflows and expedite experimentation.

• Contribute to best practices in model development, testing, deployment, and documentation.

⛳️ Requirements

• Over 5 years of experience in Data Science, Machine Learning, or Advanced Analytics roles.

• Proficient in Python.

• Practical experience with Pandas, Scikit-learn, TensorFlow, or PyTorch.

• Strong grasp of statistics, experimentation, machine learning methodologies, and model evaluation.

• Familiarity with large datasets, SQL, and data warehouses such as Redshift, BigQuery, or Snowflake.

• Knowledge of MLOps and contemporary development practices, including Git, Docker, MLflow, and CI/CD.

• Experience utilizing AI-powered tools or AI agents to enhance efficiency and automate routine tasks.

• Excellent communication skills with the ability to convert business needs into practical technical solutions.

• Comfortable working within agile, fast-paced, and cross-functional teams.

• Bonus: Experience with Airflow, Kubernetes, Jupyter Notebook, Athena, or other big data technologies.

• Bonus: Experience with NLP, LLMs, or AI agent workflows.

• Bonus: Familiarity with Tableau or Superset.

• Bonus: Previous experience in SaaS or high-growth tech environments.

• Must possess legal authorization to work in the country of residence or role location.

• Visa sponsorship is not available.

🏝️ Benefits

• Healthcare insurance.

• Wellness benefits including gym memberships and mental health support.

• Time off including vacation, birthday leave, and recharge days.

• Local benefits such as meal vouchers, transport allowances, and extended parental leave.

• Opportunities for career growth, learning, and development.

• Participation in cross-functional projects.

• Remote work options.

• Flexible working hours.

• Access to company hubs and offices.

• A global, diverse, and inclusive team environment.