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Sr. Data Scientist

marianamineralsSan Francisco HQSoftware Development
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Salary
$140K – $173K
Job type
Full-time
Experience
Senior · 3+ yrs
Posted
23 Sept 2026
Status
Open · checked 7d ago

About this role

Mariana Minerals seeks a Senior Data Scientist for their San Francisco headquarters to bring statistical rigor and clear reporting to physical operations. This role suits a quantitative professional who prefers applied statistics, data definition, and decision support over machine learning modeling.

Role Overview

Mariana Minerals operates in San Francisco, supplying minerals for modern energy, AI, and defense technologies. The Senior Data Scientist makes business numbers trustworthy and legible by managing statistics, plant trial analysis, metric definitions, and reporting layers. This position is focused on analytical clarity, uncertainty quantification, and experimental design rather than machine learning or data engineering.

Key Responsibilities

Design and analyze plant trials and experiments using DOE, sample sizing, and control selection.
Establish and defend consistent business metric definitions such as recovery, grade, throughput, yield, uptime, and unit cost.
Build and manage recurring reporting, dashboards, and self-serve tooling for operators and executives.
Quantify measurement uncertainty including sampling error, assay variability, and instrument drift.
Apply statistical process control and capability analysis to plant operations.
Conduct deep-dive investigations into recovery drops, cost variance, and supplier performance.
Perform forecasting and estimation for production, cost, and capacity planning.
Partner with the Technical Product Manager for Data & Analytics Platform on reporting infrastructure needs.
Review internal analyses to ensure analytical accuracy and mentor team members in statistics.
Write clear memos and findings that non-statisticians can readily act upon.

Requirements

Three to six or more years of experience in data science, statistics, analytics, or quantitative research.
Deep applied statistics expertise including experimental design, hypothesis testing, regression, and uncertainty quantification.
Strong proficiency in SQL and Python libraries such as pandas, statsmodels, and scipy.
Proven track record of building utilized reporting dashboards and memos.
Experience working with messy real-world measurement data with missing values, inconsistent sampling, or instrument error.
Exceptional written communication skills for technical findings.
Comfort acting as the primary statistical authority.

Nice to Have

Background in mining, metallurgy, chemicals, energy, manufacturing, or heavy industry.
Experience with statistical process control or measurement system analysis.
Experience with BI and analytics tooling such as Hex or Looker.
Degree in statistics, chemical engineering, chemistry, operations research, economics, or a related quantitative field.
Experience building an analytics function from scratch.
Working fluency with LLM-assisted analysis.

Skills and Tools

Python
SQL
pandas
statsmodels
scipy
Hex
Looker

Salary and Benefits

Salary range of $140,000 to $173,000 per year
Equity offerings included

About the Company

Mariana Minerals is a software-first, vertically integrated minerals company combining industry expertise with software, automation, and data-driven decision-making to supply critical minerals for energy, AI, and defense.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

PythonSQLpandasstatsmodelsscipyHexLookerLLM

Questions candidates ask

Is this a machine learning modeling role?

No, this is not an ML modeling or data engineering role. The focus is on applied statistics, experimental design, metric definitions, and reporting.

Where is the job located?

The role is based out of the San Francisco headquarters.

What is the salary range for this position?

The salary ranges from $140K to $173K with equity offerings.

What programming languages and tools are required?

Strong SQL and Python skills, specifically using pandas, statsmodels, and scipy, are required.

How many years of experience are required?

Candidates must have 3 to 6 or more years of experience in data science, statistics, analytics, or a quantitative research role.

Ready to apply?

The application is on the official marianaminerals careers page.

Apply on company site