Senior Data Scientist - Operational Analytics & Reporting

Socket.dev; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Mariana Minerals is seeking a Senior Data Scientist to ensure data trust and clear reporting as we scale production and revenue. You will own statistics for recovery, throughput, and cost, while building dashboards and self-serve analytics for operators, engineers, and executives.

You will quantify uncertainty, apply control analyses, and forecast production and capacity, partnering with Product and Data Platform teams. This is a hands-on, impact-focused role in a data-rich mining context.

Qualifications

• 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
• 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
• Comfort being the statistical authority in the room
• Nice to have: mining/metallurgy/energy/manufacturing background; SPC or measurement system analysis; BI tools experience; degree in related quantitative field; analytics function startup experience; LLM-assisted analysis awareness

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 the flawed comparison before it reaches a decision meeting, and teach the teams around you enough statistics to stop making the same mistake twice
• Write findings up so they're actually used — a clear memo a non-statistician can act on, not a notebook that needs you in the room

Skills

SQL

Python

Statistics

Dashboard reporting

Experiment design

Communication

Data wrangling

Education

Degree in statistics

Degree in quantitative field

Tools

Hex

Looker

Job description

Mariana Minerals is seeking a Senior Data Scientist to ensure data trust and clear reporting as we scale production and revenue. You will own statistics for recovery, throughput, and cost, while building dashboards and self-serve analytics for operators, engineers, and executives.

You will quantify uncertainty, apply control analyses, and forecast production and capacity, partnering with Product and Data Platform teams. This is a hands-on, impact-focused role in a data-rich mining context.