Machinify

Staff Data Scientist, Analytics

Machinify

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

BigQueryPythonSQLTableau

About the role

  • Independently partner with business stakeholders to understand complex operational challenges, build domain context, and frame analytical approaches — without predefined solutions or heavy direction
  • Perform deep exploratory data analysis across payment operations, chart review workflows, and customer performance metrics to diagnose root causes and identify optimization opportunities
  • Build and maintain dashboards and reporting infrastructure that give leaders real-time visibility into operational and financial performance
  • Conduct business reviews including month-to-month bridges, waterfall analyses, and price-volume-mix decompositions to explain performance variance
  • Use LLMs and AI-assisted tools (e.g., Claude, GPT) for data exploration, pattern identification, and accelerating analytical workflows
  • Translate ambiguous business questions into structured analytical approaches with clear, actionable recommendations
  • Work with both models and querying to understand problems — diagnosing first, then standardizing and building scalable solutions
  • Partner cross-functionally with Product, Data Science, Engineering, and Operations teams to deliver analytics-ready solutions
  • Build foundational data assets — base data sets, aggregates, and pipelines — required for robust reporting and insight generation

Requirements

  • 4-6 years of experience in business analytics, quantitative consulting, economics, or a related analytical role
  • Strong proficiency in SQL and Python for data manipulation, analysis, and visualization
  • Demonstrated ability to independently diagnose complex business problems through exploratory data analysis — comfortable working without predefined solutions
  • Experience with BI/visualization tools (e.g., Power BI, Tableau, Looker) and building dashboards for business stakeholders
  • Familiarity with LLMs and AI tools for data analysis — comfortable using AI-assisted workflows to accelerate insight generation and excited to push the boundaries of what's possible
  • Degree in a quantitative field (e.g., Economics, Statistics, Operations Research, Data Science, Engineering, or related discipline)
  • Strong communication and storytelling skills — ability to work directly with senior stakeholders and present complex findings clearly to both technical and non-technical audiences
  • Experience working with large-scale data warehouses (Databricks, Snowflake, BigQuery, or similar)
  • Consulting mindset: ability to quickly build business context in unfamiliar domains, structure ambiguous problems, and deliver actionable recommendations
  • Curiosity, growth mindset, and excitement about learning new areas — including healthcare, LLMs, and GenAI
  • Comfort operating in a fast-paced, ambiguous environment and balancing short-term deliverables with longer-term strategic work
Benefits
  • Work from anywhere in the US! Machinify is digital-first.
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment where you’ll feel empowered to do your best work
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythondata manipulationdata analysisdata visualizationexploratory data analysisdashboard buildingdata warehousingBI toolsLLMs
Soft Skills
communication skillsstorytelling skillsproblem diagnosisconsulting mindsetcuriositygrowth mindsetability to work independentlycross-functional collaborationadaptabilityanalytical thinking