Staff Data Scientist

This is a fully remote position, open to applicants in Colombia, +1 more country.

📋 Description

• Design, construct, and assess predictive and prescriptive models focusing on customer behavior, operational efficiency, and personalization.

• Utilize machine learning, deep learning, and statistical methodologies to address real-world business challenges.

• Lead end-to-end machine learning and Generative AI projects, from proof of concept to production implementation.

• Collaborate with scientists and software engineers to build, optimize, and deploy models into production.

• Create scalable, automated workflows for large-scale data analysis, model development, validation, and deployment.

• Conduct A/B and multivariate testing and apply causal inference techniques to validate hypotheses and assess impact.

• Analyze intricate datasets and convert insights into strategic recommendations.

• Communicate scientific methodologies and outcomes to both technical and non-technical audiences using data visualization techniques.

• Work alongside product managers and business stakeholders to uncover opportunities and frame data science solutions.

• Collaborate with data engineers, analysts, and software developers on scalable data-driven applications.

• Act as a technical expert in AI/ML and spearhead initiatives across teams.

• Investigate innovative scientific methods and integrate them into client projects.

• Mentor junior data scientists.

• Develop reusable assets, tools, and processes to enhance team efficiency and effectiveness.

⛳️ Requirements

• Over 5 years of professional experience in data science, statistics, and applied machine learning, including at least 3 years focused on building models for business applications.

• PhD or a Master’s degree with 4+ years of relevant experience in Computer Science, Computer Engineering, Machine Learning, Statistics, Mathematics, Engineering, or a similar quantitative discipline.

• Extensive proficiency in Python or R, with strong expertise in libraries such as scikit-learn and TensorFlow/PyTorch, as well as a solid understanding of models, algorithms, and ontologies.

• Experience programming in Java, C++, or a related programming language.

• Proven experience in statistical modeling, time series forecasting, natural language processing, or optimization.

• Familiarity with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

• Experience designing and analyzing controlled experiments, including A/B testing and uplift modeling.

• Documented success in deploying models into production environments using APIs, pipelines, or machine learning frameworks.

• Practical experience with Databricks, AWS SageMaker, and Snowflake.

• Experience in building and deploying Data Mesh architectures.

• AWS cloud certifications or ML specialty credentials are advantageous.

• Experience with Palantir is considered a beneficial addition.

🏝️ Benefits

• Comprehensive health insurance packages.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative company culture.

• Competitive salary and performance bonuses.