Sr. Data Scientist

Mariana Minerals
San Francisco, Houston, Ann Arbor
Workplace: OnsiteFull timeUSD 140,000 - 173,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Written communication","Ownership","Statistical rigor","Uncertainty communication","Internal stakeholder management"]

Own the statistical rigor behind how the business measures recovery, throughput, yield, uptime, and unit cost across plant trials and real-world operations. Design experiments (DOE, sample sizing, control selection), quantify uncertainty, and use statistical process control to detect true shifts. Build dashboards and self-serve reporting so operators and executives act on trustworthy insights, while raising the analytical bar through reviews and clear written memos.

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Mariana Minerals
Mariana Minerals
21 hours ago

Sr. Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Own the statistical rigor behind how the business measures recovery, throughput, yield, uptime, and unit cost across plant trials and real-world operations. Design experiments (DOE, sample sizing, control selection), quantify uncertainty, and use statistical process control to detect true shifts. Build dashboards and self-serve reporting so operators and executives act on trustworthy insights, while raising the analytical bar through reviews and clear written memos.
Location: San Francisco, Houston, Ann Arbor
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and analyze plant trials and experiments using DOE, sample sizing, and control selection to assess process changes with confidence.
  • •Define and maintain core business metrics (recovery, grade, throughput, yield, uptime, unit cost) and defend consistent definitions across teams.
  • •Build and own the reporting and analytics layer, including recurring reporting, dashboards, and self-serve tools for operators and engineers.
  • •Quantify uncertainty (sampling error, assay variability, instrument drift, measurement system analysis) and apply statistical process control/capability analysis.
  • •Run deep-dive analyses (drivers of recovery/cost changes, supplier comparisons, correlation validation) and write clear findings memos used by non-statisticians.

Pay and Benefits

Salary: USD 140,000 - 173,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3–6+ years in data science, statistics, analytics, or a quantitative research role where you owned analyses that drove real decisions.
  • •Deep applied statistics experience including experimental design, hypothesis testing, regression, and uncertainty quantification.
  • •Strong SQL and Python (pandas, statsmodels, scipy) to obtain data, run analyses, and produce your own reporting.
  • •A track record building reporting and dashboards people actually use, with product sense for what belongs where.
  • •Ability to work with messy measurement data (missing values, inconsistent sampling, instrument error) and communicate what it can and can’t support.
Experience:3+ yearsMiningMetallurgyChemicalsEnergyManufacturingHeavy industry
Skills:Written communicationOwnershipStatistical rigorUncertainty communicationInternal stakeholder management
Tech Stack:SQLPythonPandasStatsmodelsScipyLookerHexLLM-assisted analysis

Company Brief

Mariana Minerals
Software-first, vertically integrated minerals company developing extraction, processing, and automation systems to supply critical minerals (lithium and others) for energy, AI, and defense technologies, and building commercial-scale lithium facilities from produced water.
Industry: Mining & Metals
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
WebsiteLinkedInGlassdoor