Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Backed by Khosla and a16z.
About the role
Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our data doesn't live in a vacuum — it comes off sensors, assays, lab benches, and plant logs, and it's what the business uses to decide what to run, what to buy, what to fix, and what to build next.
What they're looking for
- 3–6+ years in data science, statistics, analytics, or a quantitative research role where you owned analyses that drove real decisions
- Deep applied statistics: experimental design, hypothesis testing, regression, uncertainty quantification — and the judgment to know which tool fits the question and which assumption you just violated
- Strong SQL and Python (pandas, statsmodels, scipy) — enough to get your own data, run your own analysis, and produce your own reporting without waiting on someone else
- Track record building reporting and dashboards people actually use, with the product sense to know what belongs on a dashboard versus in a memo
- Ability to work with messy, real-world measurement data — missing values, inconsistent sampling, instrument error — and be clear about what it can and can't support
- Exceptional written communication, much of this job is making a technical finding land with operators, engineers, and executives
More about this role
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our data doesn't live in a vacuum — it comes off sensors, assays, lab benches, and plant logs, and it's what the business uses to decide what to run, what to buy, what to fix, and what to build next.
We're hiring a Senior Data Scientist to be the person who makes those numbers trustworthy and legible. You'll own the statistics: how we measure recovery and throughput, how we know a process change actually worked, how much of a swing is signal and how much is assay noise, and what the reporting layer says when an operator or an executive opens it.
This is not an ML modeling role and not a data engineering role. Our MLEs build the models and our data engineers move the data. You bring statistical rigor and...
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