Data Science Intern at Mercury

San Francisco, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Pursuing a degree in a quantitative field (graduating 2025–2027)
Strong fundamentals in statistics, SQL, and Python
Experience with experiment design, causal reasoning, and data analysis
Ability to communicate clearly with engineers, product managers, and leadership
Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus)
Excited to work in person and thrive in a fast-paced environment
Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation

Responsibilities

Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems
Designing and running A/B tests and quasi-experiments; translating results into product decisions within days
Building dashboards and lightweight data models that empower teams to self-serve insights
Instrumenting events with engineers and improving data quality, observability, and latency
Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems
Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing
Analyze data impacting ranking, hiring efficiency, candidate experience, and revenue
Design experiments, evaluate LLM-powered systems, and build foundations of data integrity and visibility

Skills

Key technologies and capabilities for this role

Data AnalysisStatisticsExperimentationLLMModelingSQLPythonAnalytics

Questions & Answers

Common questions about this position

Is this Data Science Intern position remote or onsite?

The position is onsite, with the team working in-person five days a week in the San Francisco headquarters.

What is the compensation for the Data Science Intern role?

This information is not specified in the job description.

What skills are required for the Data Science Intern position?

Candidates need to be pursuing a degree in a quantitative field (graduating 2025–2027) with strong fundamentals in statistics, SQL, and Python, plus experience with experiment design and causal reasoning.

What is the work environment like at Mercor?

Mercor has an ambitious, fast-paced, and deeply committed team that works in-person five days a week in San Francisco, collaborating closely with engineers, PMs, leadership, researchers, operators, and AI companies.

What makes a strong candidate for the Data Science Intern role?

Strong candidates are pursuing a quantitative degree (graduating 2025–2027), have solid skills in statistics, SQL, Python, experiment design, and causal reasoning, and can thrive in a fast-moving, metrics-driven team.

Mercury

Banking services for startups and founders

About Mercury

Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$146.8MTotal Funding

DEBTCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Health, dental, & vision

Custom equipment setup

401(K) matching

12+ weeks paid parental leave

Book budget

Wellness benefits

Grocery budget

Paid lunch

Personalized callsign

Unlimited vacation policy (with mandatory minimum)

Risks

Mercury's decision to stop serving certain countries may lead to customer loss.

Integration challenges from the Teal acquisition could disrupt services.

Expansion into consumer banking might divert focus from core startup services.

Differentiation

Mercury offers both business and personal banking services, unlike many fintech competitors.

The company provides integrated financial management tools, enhancing startup operational efficiency.

Mercury's Raise program connects startups with investors, mentors, and other founders.

Upsides

Mercury secured a $100 million credit warehouse to expand its credit card business.

The acquisition of Teal enhances Mercury's financial management offerings for startups.

Mercury Personal expands market reach by attracting tech-savvy individuals.

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