[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Phantom logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/3d0a3a49-221.png)](https://jobicy.com/company/phantom.md)Remote opportunity at[Phantom](https://jobicy.com/company/phantom.md) # Senior Data Scientist Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/phantom.md)Share4 Sep 2026Published26Listing views2Application actions4 Oct 2026Apply before Opportunity details ## About this role. AI SummaryPhantom is seeking a Senior Data Scientist to support product analytics and data-driven decision-making for its crypto wallet and financial-services platform. The role partners with Product, Engineering, Design, and Operations to define metrics, evaluate growth initiatives, and influence product and infrastructure strategy. Core work includes large-scale data analysis, experiment design, funnel analysis, reporting, and communicating actionable insights to cross-functional stakeholders. Candidates need 7+ years of product-focused analytics experience, advanced SQL, familiarity with Python and/or R, and strong statistical judgment; crypto, NFT, or DeFi data experience is preferred. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, high-impact analytics role requiring deep product experimentation expertise, rigorous statistical reasoning, and the ability to influence strategy across several functions. The fast-growing crypto environment and large user base increase the complexity and importance of sound measurement decisions. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$205,000US market range$160k–$240k0$264k AI insightThe disclosed target base salary is $185,000–$225,000 USD yearly, producing an offer median of $205,000. A competitive US market base-salary range for a senior product-focused data scientist is estimated at $160,000–$240,000 yearly; actual compensation may vary by location, domain expertise, and equity value. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Data science](https://jobicy.com/jobs?search_keywords=Data%20science.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[R](https://jobicy.com/jobs?search_keywords=R.md)[Experiment design](https://jobicy.com/jobs?search_keywords=Experiment%20design.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Funnel analysis](https://jobicy.com/jobs?search_keywords=Funnel%20analysis.md)[Statistical analysis](https://jobicy.com/jobs?search_keywords=Statistical%20analysis.md)[Crypto analytics](https://jobicy.com/jobs?search_keywords=Crypto%20analytics.md) Sample interview questionsHow would you evaluate whether a new wallet onboarding flow improves user activation?I would first define activation using a meaningful downstream behavior, such as completing wallet setup and performing an initial transaction within a specified window. I would run a randomized experiment, validate assignment and instrumentation, compare activation rates with confidence intervals, and assess guardrail metrics such as failures, support contacts, and early retention. I would also segment results by acquisition source, device, and new versus returning users to identify heterogeneous effects. Describe how you would design an experiment when users can interact across multiple blockchain networks. I would choose the randomization unit carefully, typically the user or wallet, to avoid treatment contamination across networks. I would define primary and guardrail metrics at both user and network levels, account for correlated repeated activity, and pre-specify how cross-chain behavior will be attributed. Before launch, I would verify event consistency and sufficient sample size across major chains. What steps do you take when a funnel metric declines unexpectedly? I begin by validating data freshness, event definitions, tracking changes, and pipeline health before interpreting the decline as behavioral. I then decompose the funnel by step, cohort, platform, geography where eligible, acquisition source, and product version to isolate where the shift occurred. I pair quantitative evidence with release history and qualitative signals, then recommend a monitored fix or targeted experiment. How do you communicate a statistically nuanced result to nontechnical product stakeholders? I start with the decision: what changed, the estimated impact, confidence level, and recommended next action. I explain uncertainty in plain language, distinguish practical significance from statistical significance, and use a concise visualization or metric table. I also clearly state assumptions, key risks, and the follow-up measurement plan. How would you address selection bias in an analysis of feature adoption and retention? I would recognize that adopters may already be more engaged than non-adopters, so a simple retention comparison is not causal. Where possible, I would use randomized rollout data; otherwise, I would apply methods such as matched cohorts, regression adjustment, propensity weighting, or difference-in-differences while being explicit about remaining limitations. I would validate covariate balance and present the conclusion as associative unless the design credibly supports causal inference. [Phantom](https://phantom.com) is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play’s finance category and consistently ranks in the top 50 apps across all categories. Phantom partners with many of the most trusted and influential names in finance like Hyperliquid, Stripe, Kalshi and Visa, to make the most popular and innovative financial products accessible to everyone. We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ### Responsibilities Our crypto wallet is used by millions of people to access web3 apps and financial services. As a Data Scientist focused on product analytics at Phantom, you’ll be helping our product teams making data-driven decisions. This is a unique opportunity where you’ll influence strategic product and infrastructure decisions as we bridge the gap between the blockchain and the delightful experience our users have come to expect. * Empower the company with data – Generate and communicate data-driven insights to influence product and business decisions. * Develop metrics and experiments – Understand our growth and measure the impact of product and operational changes. * Work collaboratively – As a member of Growth team, contribute to the company roadmap by working with stakeholders across Product, Engineering, Design, and Operations. ### Qualifications * 7 + years working in product-driven organizations and driving decision-making. * Demonstrated track record of using data analysis to drive impact with cross-functional partners * Experience analyzing, cleaning, and preparing reports on large, diverse data sets. * Experience with experiment design and funnel analysis with an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities. * Mastery of SQL and familiarity with R and/or Python for analysis and model-building. * Nice-to-have: Professional experience with data sets in crypto, NFTs and DeFi. ### Why Work with Us We are a team of experienced builders in the blockchain and crypto industry. Our journey began from users seeking an easy, seamless path to accessing the crypto ecosystem. This passion fueled our exponential growth, allowing us to onboard over 15M+ active users in just over three years; with our user base growing weekly. Our dedication to a secure and seamless user experience has made us the leading wallet on Solana as well as our multi-chain approach enhances our platform’s versatility, meeting the needs of a diverse and growing user base. By staying at the forefront of technology and user expectations, we continue to innovate and set industry standards on self-custodial crypto wallets. There has never been a better time to work in crypto to help shape the future of innovation with a focus around the wallet experience! * First impressions matter: Wallets are responsible for a users first impression with crypto and onboarding new users into crypto. By ensuring that a user has a great first-time experience with crypto, we can help supercharge the growth of the entire ecosystem. * Make crypto easier to navigate: There is no easy way for a user to discover and navigate all that crypto has to offer. Wallets have a unique opportunity to help users not only onboard to crypto but also stay retained by exploring new things to do. * We live in a multi-chain world: We currently support Solana, Ethereum, Polygon and Bitcoin with more networks to come in the new future. We are focused on creating a unified, multi-chain crypto experience for users. ### Benefits * Competitive salary and equity * Comprehensive insurance (medical/dental/vision) — 100% covered * Stipend for your ideal remote set-up * Flexible hours and a supportive remote environment * Unlimited vacation: Take time when you need it (and we really mean it!) * 401(k) retirement plan * Monthly wellness benefit * Weekly meal benefit * Global off-sites We strongly encourage candidates of all different backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. The target base salary for this role will range between $185,000 to $225,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. (“Phantom”) collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws. 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