Senior Data Scientist

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Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Analyze, manipulate, or process large sets of data using statistical software.
• Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
• Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
• Clean and manipulate raw data using statistical software.
• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
• Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
• Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
• Design surveys, opinion polls, or other instruments to collect data.

O*NET source

Role overview (listing rewrite)

Arine is hiring a Senior Data Scientist for a full-time remote role serving candidates across the United States of America. Join a collaborative remote team where rigorous analysis, modern modeling techniques, and clear communication drive meaningful outcomes for this Senior Data Scientist opportunity. About This Position This full-time Senior Data Scientist role at Arine is fully remote within the United States of America. You will apply advanced statistical methods, machine learning, and data storytelling to solve complex problems, turn messy data into reliable insights, and partner with product, engineering, and business stakeholders. The work centers on end-to-end ownership of analyses and models—from framing questions and preparing data through validation, deployment support, and continuous improvement—while mentoring peers and raising the bar for analytical quality in a distributed setting. Day-to-Day Responsibilities Design, build, and evaluate statistical and machine learning models to address priority questions Explore, clean, and feature-engineer large or complex datasets using reproducible workflows Translate ambiguous business problems into clear analytical plans and measurable success criteria Partner with engineers and product teammates to productionize models and monitor performance over time Communicate findings through concise write-ups, visualizations, and stakeholder presentations Review code and methodology with colleagues to ensure rigor, fairness, and maintainability Stay current on techniques relevant to senior data science work and share practical learnings with the team What You Bring Proven experience as a data scientist or in a closely related quantitative role at a senior level Strong command of statistics, experimental design, and core machine learning methods Proficiency in Python (or R) and SQL for data manipulation, modeling, and automation Familiarity with common ML libraries, version control, and collaborative development practices Ability to explain technical results to both technical and non-technical audiences Comfort working independently in a remote environment while aligning closely with distributed teammates A track record of delivering production-minded analyses rather than one-off exploratory work alone More About Arine Arine is hiring for this Senior Data Scientist role and offers a supportive team environment focused on thoughtful problem-solving and professional growth. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected…

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Remote (United States of America), hybrid, or fully remote?