About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

• Work with petabyte-scale datasets and high-velocity event streams to measure product, business, and model health.
• Build and maintain dashboards, automated reporting, and monitoring systems that surface KPIs and detect anomalies.
• Develop scalable analytics pipelines to support timely issue diagnosis and long-term trend analysis.
• Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives to inform stakeholders.
• Assist with experiment design, metric computation, and interpretation of A/B test results.
• Partner cross-functionally with engineering, research scientists, product, and business teams to translate questions into analytics solutions and implement improvements.

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Minimum Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline.
• 0–3 years of practical experience in data analytics or data science (internships and projects count).
• Proficiency with SQL and at least one analytical programming language (Python preferred).
• Basic understanding of core statistical concepts and introductory modeling techniques (variance, confidence intervals, significance testing).
• Ability to work with large datasets and communicate findings clearly to both technical and non-technical audiences.
• Curious, proactive mindset and eagerness to learn quickly.

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Preferred Qualifications

• Master’s degree in Data Science or a related quantitative discipline.
• Experience with BI tools such as Looker, Tableau, Superset, or Metabase.
• Familiarity with cloud data warehouses (BigQuery, Snowflake) and workflow orchestration tools (Airflow).
• Prior exposure to A/B testing, experiment design, or statistical evaluation.
• Knowledge of digital advertising, performance marketing metrics, or online marketplace dynamics.
• Experience collaborating with cross-functional engineering and product teams.

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What You’ll Gain

• Hands-on experience building production analytics, monitoring systems, and model-evaluation tooling.
• Opportunity to design infrastructure and pipelines that scale across teams.
• Exposure to high-scale data challenges and ML model performance evaluation.
• A visible role driving insights that inform product and business strategy.

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Compensation & Benefits

• CA base pay range: $120,000—$180,000 USD (range provided for California locations).
• Equity eligibility (role-dependent), medical, dental, vision, life, disability insurance.
• 401(k) retirement plan.
• Unlimited discretionary time off, paid holidays and paid sick leave (as described by the employer).
• Note: Actual compensation may vary based on experience, location, and role level.

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Location & Employment Type

• Location: Palo Alto, CA (on-site / hybrid expectations to be confirmed by our client).
• Employment type: Internship / early-career role (0–3 years experience).

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Keywords & Tools (high-signal)

• SQL
• Python
• A/B testing / experiment design
• Looker, Tableau, Superset, Metabase
• BigQuery, Snowflake
• Airflow

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.