Data Science & Analytics in the United States
Statistical analysis, predictive modeling, and decision-grade dashboards — built by an engineer who treats your data as evidence, not vibes.
Who this is for
Operators, founders, and analytics leaders who need a defensible answer, not a notebook screenshot.
What problem this solves
Most 'data science' deliverables are notebooks the team can't re-run, charts no one trusts, and recommendations no one can defend. The work breaks the moment the data refreshes.
Why this matters specifically in the United States
US teams have the highest expectations for AI deliverables in the world: production-grade engineering, observable systems, security review, and contracts written in plain English. Most successful engagements are paid in USD on a fixed-scope basis or via Upwork's enterprise contract or directly with a US LLC entity.
What you get
- A reproducible pipeline (Python or R) checked into your repo
- A statistical model with documented assumptions and confidence intervals
- A decision-grade report or dashboard your stakeholders can actually use
- A handoff session so your team can re-run and extend the work
How the engagement runs
- Discovery. We agree on the decision the analysis will inform — not just 'do data science'.
- Data audit. Schema review, quality checks, gap analysis. We tell you what's missing before we model.
- Modeling. Baseline model, then iteratively improve while documenting assumptions, residuals, and CIs.
- Communication. Report or dashboard with the headline answer up top, methodology in an appendix.
Deliverables
- Reproducible Python/R notebooks + scripts
- Trained model artifacts with version metadata
- Decision report (PDF + Markdown)
- Optional: Plotly/Streamlit/Recharts dashboard
- Handoff session (recorded)
Outcomes you can expect
- Clear yes/no/maybe answers your team can defend in a board meeting
- Time-series forecasts with documented MAPE / quantile intervals
- Cohort, funnel, and retention analyses re-runnable on every data refresh
Pricing in US
Engagement size: $5,000–$60,000 USD per engagement.
Hourly rate: $95–$180 USD per hour.
How we contract: We can be engaged via direct contract, an Upwork enterprise plan, or as a 1099 contractor through your US LLC. We carry international wire and Wise USD receiving.
Timezone & availability
Operates 9am–6pm in your timezone (EST, CST, MST, PST) with overlap from Pakistan Standard Time
Tech stack
- Python: pandas, NumPy, scikit-learn, statsmodels, Prophet, SciPy
- R: tidyverse, caret, forecast
- PostgreSQL, BigQuery, MongoDB, DuckDB
- Plotly, Recharts, Streamlit, Flask, Jupyter
- Apache Airflow for scheduled re-runs
Relevant case studies
- Indonesia Livestock Operations Dashboard — A real-time monitoring and intelligence dashboard for managing livestock supply chain operations across Indonesia's provinces.
- Enterprise Data Pipeline & Analytics Engine — A production-grade data engineering pipeline processing 10M+ records daily with automated ETL workflows, real-time analytics, and comprehensive business intelligence reporting.
- Statistical Analysis & Predictive Modeling Suite — A comprehensive statistical analysis platform combining Python and R for advanced analytics, predictive modeling, and automated report generation.
- Real-Time Analytics API with Flask & NoSQL — A high-performance Flask REST API for real-time event tracking and analytics, backed by MongoDB and Redis for sub-millisecond query responses.
Questions American buyers ask about data science
- How do you contract with American clients?
- We can be engaged via direct contract, an Upwork enterprise plan, or as a 1099 contractor through your US LLC. We carry international wire and Wise USD receiving.
- What about regulatory compliance in the United States?
- We work to HIPAA (healthcare PHI), SOC 2 Type II readiness for SaaS clients, CCPA / state privacy regimes, ITAR / EAR considerations only when applicable. Where audited compliance certifications are required, we partner with the right specialist firm and ship code that meets the technical controls.
- What's the timezone overlap?
- Operates 9am–6pm in your timezone (EST, CST, MST, PST) with overlap from Pakistan Standard Time
- What's a typical data science engagement size in US?
- $5,000–$60,000 USD per engagement, structured against fixed milestones. Hourly engagements are billed at $95–$180 USD per hour.
- What makes you a 'best data scientist for hire' vs. a freelancer on Upwork?
- Two things: (1) every deliverable is reproducible code in your repo, not a one-off notebook, and (2) you're hiring an engineer who can also ship the dashboard or the model into production — not someone who hands off a PDF and disappears.
- Can you work with messy or partial data?
- Yes — we lead with a data audit and tell you what's recoverable before we touch a model. Most engagements include light data-engineering cleanup as part of the scope.
- Do you do A/B testing analysis?
- Yes. We've designed and analyzed experiments with multiple-comparisons correction, sequential testing, and Bayesian alternatives. We'll tell you when an experiment is conclusive — and when it isn't.
- What about forecasting?
- We've built ARIMA, Prophet, and ML-based forecasts at 92%+ accuracy for demand prediction. Every forecast comes with prediction intervals and a backtesting report.
- Can you teach my team while you're at it?
- Yes — we offer optional weekly 1-hour pairing or workshop sessions during the engagement. Cheaper than a separate trainer, and your team learns on real code.
- Do you handle GDPR / HIPAA-sensitive data?
- We sign DPAs, work inside your environment when required, and have shipped HIPAA-adjacent (US) and NHS Digital DSP-compliant (UK) systems. We do not pull PII to local machines without an explicit reason.