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Sr. Data Scientist

Mariana Minerals· Software Development
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San Francisco HQ, Houston, TX, Ann Arbor, MIFull-timePosted 4w ago

About the role

Senior Data Scientist responsible for statistical rigor, reporting, and decision-support across mineral production data. Own metrics definitions, reporting layer, uncertainty quantification, and analysis to drive operational and business decisions. Not primarily an ML modeling or data engineering role.

Responsibilities

  • Design and analyze plant trials and experiments — DOE, sample sizing, control selection, and the analysis that says whether a process change did what it was supposed to do and at what confidence.
  • Own the definitions of the metrics the business runs on: recovery, grade, throughput, yield, uptime, unit cost. Decide what each one means, make the definition consistent across teams, and defend it when someone wants to compute it differently.
  • Build and own the reporting and analytics layer — the recurring reporting, the dashboards, and the self-serve tooling that lets operators, engineers, and business leads answer their own questions.
  • Quantify uncertainty honestly: sampling error, assay variability, instrument drift, measurement system analysis.
  • Apply statistical process control and capability analysis to plant operations — know when a process has actually shifted versus when it's a normal excursion.
  • Run the deep-dive analyses that don’t have a home: why last month's recovery dropped, what's driving cost variance, which of these three suppliers is actually better, whether this correlation is real.
  • Do forecasting and estimation for production, cost, and capacity planning — applied statistics that informs commitments, not research models.
  • Partner with the Technical Product Manager for Data & Analytics Platform on what the reporting and analytics stack needs next, and be a demanding internal customer of the data platform when the data isn't fit for purpose.
  • Raise the analytical bar across the company: review other people's analyses, catch flawed comparisons, teach statistics to teams to avoid repeating mistakes.
  • Write findings up so they're actually used — a clear memo a non-statistician can act on.

Qualifications

  • 3–6+ years in data science, statistics, analytics, or a quantitative research role with decision-driven analyses
  • Deep applied statistics: experimental design, hypothesis testing, regression, uncertainty quantification
  • Strong SQL and Python (pandas, statsmodels, scipy)
  • Track record building reporting and dashboards that are actually used
  • Ability to work with messy real-world measurement data and communicate limits
  • Exceptional written communication; able to act as the statistical authority in meetings

Skills

Required:Statistics and experimental designSQLPython (pandas, statsmodels, scipy)Communication
Last updated Sep 23, 2026. Interested? Apply on the company site.

About Mariana Minerals

We to the Future of Minerals, verify the mineral supply chain.

Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies.

software-firstmineralsenergyAIdefense
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