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On‑Demand Data Science & Analytics By the Month

Ship real outcomes without adding headcount. Spin up a dedicated data pod in days, turn the dial up or down monthly.

Your data is a competitive asset or a cost center

Most teams are stuck between a hiring freeze and an overflowing backlog. Business needs are spiky; talent needs are stable. That mismatch is expensive.

  • Speed matters. Windows to capture advantage are shorter; "later this quarter" often means "never".

  • Backlogs keep. Critical insights and revenue integrations wait months for capacity that never comes.

  • Talent is scarce. Full-time hires are slow and risky; single freelancers aren't enough for production-grade work.

  • Impact is measurable. Revenue lift, cost-to-serve reduction, risk coverage, and compliance confidence can be quantified if you can get to done.

A Dedicated Talent Pool

Lead Data Scientist

Lead Data Scientist

01

Frames hypotheses, designs experiments, leads modeling.

Data/Analytics Engineer

Data/Analytics Engineer

02

Pipelines, dbt/SQL, warehousing, BI, MI.

Delivery Lead / PM

Delivery Lead / PM

03

Scope, cadence, unblockers, stakeholder reporting.

Scopes we love

Analytics

Dashboards, cohort/funnel, forecasting, pricing, churn, planning.

Data platform

ELT, dbt models, Snowflake/BigQuery, BI hardening, governance & QA.

ML & AI

Propensity, anomaly/fraud, NLP extraction, RAG copilots, experimentation.

Sustainability & supply

LCA/PEF plumbing, BOM verification, emissions analytics, certificates.

Tools we work with

How It Works

Engagement model: Fixed monthly rate. Pause, scale up, or swap focus areas at month boundaries.

Scope & Outcomes (Day 0-2)

Translate business goals into 30-day, outcome-tied work packages with success metrics.

Sprint 0 (Day 3-5)

Access & security, data audit, delivery plan, risk register, Week-1 demo target.

Build & Ship (Weeks 1-4)

Weekly demos, daily async, course corrections, production-grade delivery.

Measure & Multiply

Impact report (revenue, cost, risk, compliance), next-month options, handover docs.

Example Monthly Outcomes

  • Pricing elasticity model + exec dashboard
  • A/B test framework live
  • Next-best-offer model in production
Team meeting

Why Teams Choose Us

  • Faster than hiring. Go from idea to first demo in the first week.

  • Right-sized firepower.

  • Production over prototypes. CI/CD, tests, documentation, observability.

  • Monthly flexibility. Scale up, down, or pause no long contracts.

  • Business-first. We tie effort to measurable outcomes leadership cares about.

Who We Help

Founders & GMs

Ops & Supply Chain

Finance teams

Sustainability/ Procurement

Product & Growth

Team collaboration

Sample Packages

All packages include: weekly demos, impact report, documentation, and optional enablement for your in-house team.

Core Pod

Analytics + Data Eng + Delivery Lead (90 days). Fixed monthly rate

  • Weekly demos, impact report, docs

  • Optional enablement

Plus Pod

Add ML Engineer or BI Dev for heavier modeling or complex BI

  • Everything in Core

  • Extra modeling/BI capacity

Enterprise Pod

Two pods working in parallel (e.g., platform + use case)

  • Parallel workstreams

  • Shared cadence & reporting

Proof & Guarantees

Impact you can show

Each month ends with a before/after metric snapshot.

Code you own

IP, repos, and infra live in your cloud.

Security-first

SSO, least-privilege, DPA on request.

FAQs

Ready to unlock the value sitting in your data?

Hire a production-ready data pod by the month and ship outcomes in weeks not quarters.


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