Data Scientist

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

📋 Description

• Oversee the design, development, and implementation of comprehensive analytical and machine learning solutions for moderately complex business challenges and customer scenarios.

• Collaborate with product, engineering, and business stakeholders to transform ambiguous inquiries into testable hypotheses and establish success metrics.

• Convert requirements into effective analytical or modeling strategies.

• Construct, validate, and sustain scalable data pipelines, features, and models utilizing contemporary data and machine learning tools.

• Ensure reliability, reproducibility, and efficiency within production environments.

• Examine large, intricate datasets to identify trends, drivers, and opportunities.

• Present findings and recommendations to both technical and non-technical audiences.

• Employ experimentation and evaluation methods such as A/B testing, backtesting, and error analysis.

• Contribute to standards, documentation, and best practices concerning data quality, model governance, and the ethical use of data and AI.

⛳️ Requirements

• Bachelor’s degree in a quantitative discipline such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field, or an equivalent blend of education and experience.

• Over 5 years of experience utilizing data science, advanced analytics, or machine learning in a professional context.

• Proven experience in designing and executing end-to-end analytical or machine learning solutions, encompassing data preparation, feature engineering, model development, validation, and operationalization.

• Familiarity with large datasets and modern data ecosystems, including distributed data processing and cloud-based data platforms.

• Experience working alongside cross-functional partners to grasp requirements, prioritize tasks, and achieve measurable outcomes through the use of data and analytics.

🏝️ Benefits

• Equity awards

• Remote work from a location of your choice

• Flexible distributed work through Cloud HQ

• An inclusive, innovative, and engaging workplace culture

• Equal employment opportunity

• Disability or special-needs accommodation