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Data science for mid-size companies

Independent data science for mid-size companies

A new practice for companies that have outgrown spreadsheets but do not need a twenty-person data team. Strategy, pipelines, dashboards, and models — as a scoped project, or as an outsourced data science team that stays on for a monthly fee.
  • New

    Independent practice, starting now

  • Direct

    You work with the consultant

  • Fees

    Project price or monthly retainer

  • Remote

    Calls and delivery online

Services

Services built for mid-size reality

No enterprise theater. No black-box AI. Hire us for a defined project, or keep us on as outsourced data science.
  • Data strategy & maturity

    Map the current landscape, name the gaps that actually matter, and leave with a 90-day roadmap tied to business goals.

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  • Business intelligence

    Power BI, Tableau, or Looker views for the KPIs that run the operating rhythm — designed so the rest of the team can keep them current.

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  • Forecasting & prediction

    Demand, revenue, inventory, and capacity models grounded in your history — with scenarios finance and ops can run themselves.

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  • Machine learning proofs

    Scoped PoCs for churn, scoring, anomaly detection, and ranking. Built to a go / no-go bar, not a notebook that never leaves a laptop.

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  • Data engineering

    Reliable ingestion and modeling so analytics stop breaking every Monday. Lakehouse and warehouse patterns sized for a mid-market budget.

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  • Customer & revenue analytics

    Segmentation, lifetime value, retention cohorts, and campaign insight that marketing and sales can act on the same week.

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Fees

Two ways to hire us

Same people, two fee models. Start with a project; stay on if the work should keep moving.

Fixed fee

Project

A scoped piece of work with a start, a finish, and a price. You keep the dashboards, models, and documentation.

  • Deliverables and timeline agreed first
  • Weekly check-ins while we build
  • Handover when the work is done

Monthly retainer

Outsourced data science

Stay in the pipeline after the first build. We keep supporting the project — fixes, new questions, and the next iteration — for a recurring fee.

  • Ongoing support and iteration
  • Held capacity each month
  • Pause or stop at the end of a month

Approach

How we work with mid-size teams

A simple process. Finish with a handover, or keep us on the project as outsourced data science.
  1. 01

    Discovery

    A 30–45 minute call. We understand the business question, the data reality, and the constraints before proposing anything.

  2. 02

    Scope

    Clear deliverables, timeline, and price. Fixed-fee preferred for projects. No open-ended discovery that never ends.

  3. 03

    Build

    Weekly check-ins. Working artifacts early. Your team reviews and shapes the final product.

  4. 04

    Handover or stay on

    You can take the work in-house, or keep us in the pipeline as an outsourced data science team on a monthly fee.

Get in touch

Pick a time on the calendar, or email us. Replies within one business day.