We are looking for candidates who turn data into decisions, not just people who can run a regression. Whether you lean statistical, experimental, or exploratory, you are qualified enough.

The kind of skills that fit here (any combination, none required, all welcomed):

• Statistics & experimentation — hypothesis testing, A/B testing, causal inference, regression analysis
• Modeling — predictive modeling, classification, clustering, time series forecasting
• Programming — Python or R, SQL fluency, familiarity with pandas/numpy or tidyverse
• Data wrangling — cleaning, transforming, and structuring messy real-world data
• Visualization & storytelling — communicating findings clearly through charts, dashboards, or narrative
• Business acumen — translating ambiguous business questions into analyzable problems
• Tooling — Jupyter, BI tools (Power BI, Tableau, Looker), or notebook-based workflows
• Domain application — experience applying data science to any industry or business function

Why this is worth your time

• Full-time employment, backed by reliable and on time payroll.
• Compensation benchmarked above typical agency rates, leveraging full-time US/European working hours.
• Placement in high paying roles, matched directly to your profile.
• A single point of contact, who knows your track record, advocates for your worth, and pitches you directly to decision makers.
• Priority access to new roles, before they are opened broadly, with no obligation to accept any placement brought to you.

Every skill you bring is of value.

If any part of this list describes you, apply now!