Top Remote Entry Level Data Science Jobs in Boston, MA

Lead and grow Textio’s data science analytics team, providing technical leadership, mentorship, hiring, and development. Establish analytics infrastructure and improve access to business information through dashboards, insights, and product metrics. Partner cross-functionally to define and execute an analytics roadmap, manage feature work with product and engineering teams, and use SQL and Python to solve ambiguous business questions.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.

Develop and deploy mineral exploration instruments, sensor systems, data acquisition methods, and proprietary software. Integrate geospatial, geophysical, geochemical, geological, and geographic data; build statistically rigorous and physics-based models; identify ore-forming anomalies; and generate 2D and 3D exploration predictions. Collaborate with data scientists, engineers, geoscientists, vendors, and external partners to design field programs, deploy sensors, reduce uncertainty, and guide exploration decisions.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Unstructured is seeking professionals for future roles focused on AI/ML projects. Join their talent pool to be considered for impactful positions in unstructured data processing.

Supports data processing, statistical and machine learning model updates, marketing analyses, reporting, and data automation. Uses R or Python, SQL, BigQuery, BI tools, and spreadsheets to prepare datasets, maintain media-mix models, analyze results, and communicate insights to technical and non-technical audiences. Collaborates with Engineering, Reporting, Product, Paid Media, and Data Science teams while developing advanced analytical skills.

Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.

Contract data scientist to remotely gather, extract, and analyze technical information about AI models, benchmarks, data centers, and companies. Tasks include reading ML papers, tracking leaderboards, processing satellite images/permits, compiling infrastructure details, and producing data insights for research and policy. Part-time (10–30 hrs/week), flexible schedule with occasional Pacific Time meetings.

Review, evaluate, and annotate AI-generated text, images, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve datasets and annotation guidelines.