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Staff Data Scientist | Analytics
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Über
What Youll Do
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
What You Bring
4-6 years of experience in product analytics OR a high-level business analytics role (quantifying product/business impact, translating data/insights/KPI into business decisions, showing impact using data and analysis, translating complex data analysis into stories to influence business decisions, etc.)
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 whats 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
Nice-to-Haves
Background in management consulting or strategic advisory (McKinsey, BCG, Bain, Deloitte, or similar)
Economics background with understanding of causal reasoning and business impact measurement
Experience in healthcare, payment integrity, or health insurance operations (or strong aptitude for quickly learning complex regulated domains)
Experience with financial modeling and simulation — quantifying the impact of operational changes
Familiarity with event-stream analytics and user behavior analysis
Experience with dbt, Airflow, or similar data pipeline tools
What We Offer
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
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
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Sprachkenntnisse
- English
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