Data Scientist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Junior Data Scientist based in the United States.

• Identify opportunities to apply artificial intelligence and machine learning across products and contribute to implementation efforts.
• Design, test, and refine prompts for generative AI and large language model applications.
• Build, evaluate, deploy, and maintain machine learning models in production environments.
• Partner with product managers, software engineers, and subject-matter experts to translate business challenges into effective ML solutions.
• Contribute to scalable machine learning pipelines, data workflows, model deployment processes, and monitoring practices.
• Apply established best practices for ML development, automation, deployment, and ongoing model performance monitoring.
• Analyze data and model outputs to evaluate effectiveness and identify opportunities for improvement.
• Clearly communicate technical findings, recommendations, and results to both technical and non-technical stakeholders.
• Stay informed about developments in machine learning research, industry practices, open-source projects, and emerging AI technologies.
• Share knowledge and contribute to consistent data science and machine learning practices across teams.

• Master’s or PhD in Mathematics, Statistics, Computer Science, or a related quantitative or technical discipline.
• For candidates with a Master’s degree, 2+ years of professional machine learning experience; for PhD candidates, 1+ years of professional ML experience.
• At least 2 years of experience building, deploying, and maintaining machine learning models in production.
• Strong analytical skills and solid knowledge of machine learning methodologies, algorithms, data engineering, and feature engineering.
• Hands-on experience with data warehouses, feature engineering, ML pipeline automation, and model monitoring.
• Strong understanding of data warehousing and ETL processes.
• High proficiency in Python and SQL.
• Ability to collaborate with engineering teams to develop scalable ML pipelines and follow established technical standards.
• Ability to work independently through ambiguous problems and take ownership with limited direction.
• Strong written and verbal communication skills, including the ability to explain technical concepts clearly to non-technical audiences.
• Demonstrated interest in staying current with ML research, technical publications, industry blogs, and open-source projects.
• Experience with AWS SageMaker is a plus.

• Expected base salary of $85,000–$102,000 annually, depending on geographic market, skills, experience, education, and other relevant factors.
• Fully remote work opportunity within the United States.
• Medical, dental, and vision coverage.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• Life and AD&D insurance.
• 401(k) plan.
• Tuition reimbursement.
• Additional resources and programs supporting health, wellness, financial security, and overall well-being.
• Opportunities to work with machine learning, generative AI, and large language model technologies.
• Collaborative environment supporting professional development, knowledge sharing, and technical growth.