Data Scientist

1 semana atrás

Porto, Porto, Portugal Uphold Tempo inteiro

About Uphold


The Web3 economy will redefine how financial value is held and transacted - with much activity shifting towards blockchain networks and digital assets.

Founded in 2013, Uphold is a Web3 financial platform that supports almost 300 digital assets and acts as a Regulated Gateway to the Web3 economy.

Featuring integrations with 26 blockchain networks and a robust trading engine connected to 30 underlying venues, the platform allows users to trade 'Anything-to-Anything' while enjoying keen pricing and deep liquidity.

Uphold has completed more than 120 million transactions worth $40 billion from 10 million customers in over 150 countries.
Both people and companies need to access this exciting Web3 world, but it can be technically demanding and time-consuming.

Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone.

The opportunity:


Uphold is looking for a Data Scientist to join our Data Team and work very closely with our Marketing Team.

This is a fascinating opportunity where you'll get to join a team of engineers, scientists, and analysts who are passionate about data and technology with a great sense of collaboration and responsibility.


You'll be responsible for data-driven insights that enable our Marketing efforts, by optimizing their processes and decisions, as well as building data-enabled solutions for the challenges we face.

You will gather, organize, and aggregate large data sets to produce meaningful business insight and solve critical challenges that give us a competitive edge.

At Uphold, you will be able to work in a very fertile environment to bring your ideas to life, while integrated in a fast-paced industry.


What you'll be doing primarily:

  • Conduct indepth data explorations and analyses used by Marketing, leadership, and other teams to enhance branding, acquisition, conversion, and retention efforts.
  • Closely collaborate with the core Data and Marketing teams to identify dataenabled solutions to Marketing challenges.
  • Design and conduct A/B(/n) tests to evaluate and continuously improve core Marketing aspects such as communication channels and campaigns.
  • Identify customer segments suitable for targeted marketing campaigns that maximize return on investment.
  • Build and communicate compelling data stories clearly and concisely, both orally and via welldocumented dashboards, visualizations, and reports.
  • Bring machine learning systems to life to support, automate, and enhance decisions.
  • Research and evaluate stateoftheart datamining methods that could provide Uphold a competitive edge.
  • Contribute to defining overarching processes and practices across the Marketing and Data teams.
  • Evangelize a datadriven culture throughout the Marketing and leadership teams.

Required qualifications:

  • Bachelor's degree in a quantitative field such as mathematics, economics, statistics, informatics, data science, or engineering.
  • Strong knowledge of probability, descriptive, and inferential statistics.
  • Strong knowledge of Python and SQL.
  • Experience working with data warehousing solutions and leveraging models in a cloudbased environment.
  • Proven ability to transform the results of complex modeling procedures into concrete decisions and actions.
  • Ability to lead small projects from conception and design through implementation to delivery and communication.
  • Drive to grow as a wellrounded data scientist in quantitative methods, software engineering, communication, and business.
  • Creativity, curiosity, and a growth mindset.
  • Team player with the ability to work within crossfunctional teams.
  • Value and resultsoriented, with a keen eye for quality of deliverables.
  • Fluent written and oral English skills.

Bonus if you have:

  • Professional experience in leveraging data to support and enable Marketing goals toward understanding and segmenting the customer base, maximizing acquisition, retention, and lifetime value, among other use cases.
  • Knowledge about AI and tracking stateoftheart practices, aligned with the most recent regulations (e.g. CCPA, GDPR, EU AI Act).
  • Experience working with Snowflake, Looker, and Metabase.
  • Fluency in cryptocurrencies, smart contracts, and other digitized financial instruments.
  • Community talks, certifications, and/or blog posts on your areas of interest.
  • Opensource project contributions, such as tools developed to solve specific problems you've had or fixing issues on existing projects.
  • Advanced degree preferred.


Importantly, if you're looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities.


What we have to offer you:

  • An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep up innovating and challenging more each day.
  • An international team, in a cuttinge

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