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Data Scientist - Product Analytics

About Kodex

Kodex is revolutionizing the way companies handle third-party data requests. As the only secure, modern portal built specifically for this challenge, Kodex enables organizations to manage data requests efficiently, securely, and in full compliance with regulatory requirements.

Trusted by over 15,000 government agencies in 190 countries and industry leaders like Coinbase, Stripe, and AT&T, Kodex combines cutting-edge security with seamless workflows to protect sensitive user data while ensuring transparency and efficiency. Founded by a former FBI agent and a team of technologists, Kodex bridges the gap between private companies and government agencies, addressing the growing volume of data requests with a solution that works for both sides.

The Role

Kodex is seeking a results-driven and experienced Data Scientist - Product Analytics lead to join our growing team at Kodex. You will drive data-informed product and operational decisions, working closely with Product, Engineering, and Operations to shape our roadmap and ensure Kodex remains the industry leader in secure data request management.

Key Responsibilities

  • Develop scalable analytical frameworks and models to power core product analytics across the Kodex data platform.

  • Partner closely with product managers, engineers, and operational stakeholders to define problems, embed data in product design, and measure the impact of new features and improvements.

  • Conduct deep-dive analyses to generate insights on product usage, threat intelligence, and operational efficiency.

  • Design and maintain dashboards and reporting tools to track KPIs, platform health, and safety-related metrics.

  • Ensure data accuracy, consistency, and integrity across critical pipelines; establish processes for identifying and resolving data quality issues.

  • Proactively communicate findings through clear visualizations and narratives that influence decisions at all levels of the organization.

  • Identify opportunities to develop new metrics, tools, or data models that improve safety outcomes and drive user engagement and operational excellence.

What you bring

  • Bachelor’s degree (4+ years of experience) or Master’s degree (3+ years of experience) in a quantitative field such as Statistics, Computer Science, Engineering, Economics, Math, or Bioinformatics.

  • Strong proficiency in SQL and working knowledge of Python for data manipulation and analysis.

  • Experience designing and interpreting experiments (e.g., A/B testing) and applying statistical methods to real-world business problems.

  • Proven ability to extract, synthesize, and communicate actionable insights from complex datasets.

  • Hands-on experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Mixpanel, or similar).

  • Strong collaboration and communication skills, with the ability to work cross-functionally in a fast-paced environment.

  • A proactive mindset with a passion for improving product performance, operational processes, and user safety through data.

What you get

  • Opportunity to make a significant impact on a growing startup

  • Competitive compensation and equity options

  • Flexible PTO, public holidays

  • Comprehensive health, dental and vision plans

  • Remote-first, mission driven company

Equal Employment Opportunities at the Company
Kodex is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech, non-tech, and leadership roles. We believe that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

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Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist - Product Analytics, Kodex

At Kodex, we're on a mission to reshape how organizations manage third-party data requests, and we need a Data Scientist - Product Analytics to help us lead the charge from our San Francisco office. If you have a passion for data and its power in driving product decisions, this role is for you! As our Data Scientist, you'll collaborate closely with Product, Engineering, and Operations to harness data in shaping our roadmap, ensuring that we not only meet but exceed industry standards. Your work will entail developing scalable frameworks to drive core product analytics, conducting deep-dive analyses for insights on product usage, and designing dashboards to track our operational health. We’re looking for someone who can communicate complex findings in a clear and impactful manner. With a commitment to data accuracy and a proactive approach, you'll help us identify growth opportunities while enhancing user safety and engagement. If you're ready to make a significant impact within a growing startup and join a mission-driven team, explore this exciting opportunity to be a part of our journey at Kodex.

Frequently Asked Questions (FAQs) for Data Scientist - Product Analytics Role at Kodex
What are the key responsibilities of the Data Scientist - Product Analytics at Kodex?

The Data Scientist - Product Analytics at Kodex will be responsible for developing analytical frameworks, partnering with product teams, conducting deep analyses for insights, maintaining dashboards, ensuring data quality, and communicating findings effectively to influence decisions across the organization.

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What qualifications are required for the Data Scientist - Product Analytics position at Kodex?

Kodex requires candidates to have a Bachelor’s degree with at least 4 years of experience, or a Master’s degree with 3 years of experience in a quantitative field like Statistics, Engineering, or Computer Science. Strong SQL skills and experience with Python for data manipulation are essential as well.

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Can I work remotely as a Data Scientist - Product Analytics at Kodex?

Yes! Kodex is a remote-first company, allowing flexibility for employees to work from various locations while contributing to our mission of secure data request management.

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What tools will a Data Scientist - Product Analytics use at Kodex?

A Data Scientist - Product Analytics at Kodex will work with tools such as SQL for database querying, Python for data analysis, and visualization tools like Looker, Tableau, or Mixpanel to design and maintain dashboards.

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What makes Kodex an exciting place to work for a Data Scientist - Product Analytics?

Kodex's innovative approach to handling data requests offers Data Scientists an opportunity to make a significant impact within a growing startup. The collaborative environment, commitment to data-driven decision-making, and focus on improving user safety create a dynamic and engaging workplace.

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Common Interview Questions for Data Scientist - Product Analytics
Can you describe your experience with SQL and how it applies to data analysis?

When discussing your SQL experience, emphasize specific projects where you've extracted and manipulated data to generate insights, including how you managed data integrity and accuracy in your analyses.

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How do you design and interpret experiments like A/B tests?

Explain your approach to A/B testing, including how you define hypotheses, identify metrics for success, and analyze the results to derive actionable insights that guide product decisions.

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What methods do you use to communicate complex data findings effectively?

Discuss the tools you utilize for data visualizations, such as dashboards, and give examples of how you have successfully conveyed data insights to various stakeholders in past roles.

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Can you provide an example of a time when your data analysis influenced product strategy?

Share a specific project where your insights led to tangible product improvements, detailing the process, the analysis you conducted, and how it shaped key decisions in your organization.

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How do you ensure data quality and integrity in your analysis?

Talk about your strategies for monitoring data quality, including validation processes, automation scripts, and how you handle data discrepancies to maintain reliable datasets.

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Describe your experience with data visualization tools like Tableau or Looker.

Illustrate how you've utilized data visualization tools to create impactful dashboards, highlighting features you focus on that aid stakeholders in understanding complex datasets easily.

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What proactive measures do you take to improve product performance through data?

Discuss specific examples of metrics or models you've developed to enhance product performance and how you collaborated with cross-functional teams to implement these improvements.

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How do you stay current with industry trends and advancements in data science?

Explain your approach to continuous learning, such as following industry publications, participating in workshops, or being active in data science communities to ensure your skills remain relevant.

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How would you tackle a situation where your analysis contradicts the beliefs of key stakeholders?

Share your approach to presenting data-driven insights, focusing on collaboration and clear communication while respecting differing perspectives to achieve consensus on the data's implications.

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What excites you about the Data Scientist - Product Analytics position at Kodex?

Express enthusiasm about Kodex's innovative approach to data management and how your skills align with the company's mission, underlining your eagerness to make a meaningful contribution to product analytics.

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Full-time, remote
DATE POSTED
April 3, 2025

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