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Trust Wallet

Data Scientist – Initial 6-Month Contract with Opportunity for Permanent Role

Posted Yesterday
In-Office or Remote
8 Locations
Senior level
In-Office or Remote
8 Locations
Senior level
Seeking a Senior Data Scientist to analyze user growth and improve acquisition strategies using data-driven insights and predictive modeling.
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About the company

Trust Wallet is the leading non-custodial cryptocurrency wallet, trusted by over 200 million people worldwide to securely manage and grow their digital assets. Our vision is to give individuals the freedom to own their assets, confidently participate in the future economy, and access opportunities that enhance their lives. Our mission is to be a trusted personal companion — helping users safely navigate Web3, the on-chain economy, and the emerging AI-powered future. With support for over 10 million assets across 100+ blockchains, Trust Wallet offers a seamless, multi-chain experience backed by industry-leading self-custody technology, a vibrant community, and a growing ecosystem of partners.

About the company

Trust Wallet is the world’s most inclusive, chain-agnostic, self-custody wallet, serving over 100 million users globally. It offers a secure, seamless, and intuitive gateway to Web3, enabling users to send, receive, stake, swap, and store over 10 million cryptocurrencies across 100+ blockchains, including Bitcoin, Ethereum, Solana, BNB Smart Chain, and many more. Trust Wallet also supports a diverse developer community, helping them reach millions of users, build their own wallets, and drive crypto adoption.


The Opportunity

We are looking for a Senior Data Scientist with a strong background in growth, product analytics, and forecasting to help us unlock new opportunities for user acquisition, growth, engagement, and monetization.

In this role, you’ll work with cross-functional team focused on driving our growth strategy. You will leverage our Databricks-powered data lake and cutting-edge machine learning workflows to build predictive models, run marketing and product experiments, and help optimize decision-making across the business.

You’ll work closely with product, marketing, data engineers, and leadership to shape the strategy with insights grounded in rigorous analytics.
Responsibilities

  • Growth Analytics: Analyze funnels, campaigns, cohorts, and lifecycle metrics to identify where and how we can improve user acquisition, activation, and retention.

  • Marketing Attribution & ROI Modeling: Build frameworks and models to measure the impact of paid/organic channels, incrementality, and campaign performance.

  • Forecasting & Planning: Develop statistical and ML models for forecasting revenue, user growth, CAC, LTV, and product spend.

  • Experimentation & Optimization: Design and analyze A/B and multivariate tests to optimize landing pages, onboarding flows, and product campaigns.

  • Behavioral Segmentation: Identify key user segments and behaviors that drive conversion and retention. Build targeting logic for CRM and lifecycle marketing.

  • Predictive Modeling: Build models for churn prediction, next-best-action, CLV, and product engagement.

  • Stakeholder Collaboration: Work closely with growth, product, and marketing teams to understand business needs and translate data insights into strategic actions.

  • Data Storytelling: Deliver actionable dashboards, reports, and presentations for leadership and cross-functional partners.

Qualifications

  • Experience: 5+ years in data science roles with a strong focus on growth, marketing, or product analytics.

  • Statistical & ML Expertise: Proficient in modeling (logistic regression, time series, uplift modeling, etc.), experimentation, causal inference, and segmentation.

  • Tools: Advanced SQL and Python (pandas, scikit-learn, statsmodels, plotly/seaborn). Familiarity with dbt or similar a plus.

  • Platform Proficiency: Deep hands-on experience using Databricks(or a similar datalake) for data analysis and ML (including Spark, Delta Lake, MLflow).

  • Domain Knowledge: Understanding of CAC, LTV, ROAS, MTA, media mix modeling, and growth loops. Background in Web3 preferred.

  • Data Visualization: Strong communicator of insights via dashboards or reports (Tableau, Looker, or Databricks-native tooling).

  • Business Acumen: Ability to translate models and trends into tangible growth strategies and business outcomes

Additional Information

You must have the right to work for the country you are based.

Why work at Trust Wallet?

  • Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities.

  • Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.

  • Tackle fast-paced, challenging and unique projects.

  • Work in a truly global organization, with international teams and a flat organizational structure.

  • Enjoy competitive salary and benefits.

  • Balance life and work with flexible working hours and casual work attire.

Apply today to join our team in building the world’s most trusted and secure crypto wallet

and enable a decentralized future for everyone.

Additional Information

You must have the right to work for the country you are based.

Why work at Trust Wallet?

  • Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities.

  • Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.

  • Tackle fast-paced, challenging and unique projects.

  • Work in a truly global organization, with international teams and a flat organizational structure.

  • Enjoy competitive salary and benefits.

  • Balance life and work with flexible working hours and casual work attire.

Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.

*Due to the large amount of the applications, please take your application unsuccessful should you not be contacted within 4 weeks from your application date.

Top Skills

Databricks
Delta Lake
Looker
Mlflow
Python
Spark
SQL
Tableau

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