Data Scientist

Uphold; Portugal; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A leading financial technology company in Portugal is seeking a Data Scientist to drive data-driven insights for optimizing business processes and product development. The ideal candidate will possess a strong background in machine learning, statistical analysis, and be proficient in Python and SQL. This role offers the chance to work within a collaborative team in an innovative environment with growth opportunities.

Serviços

Flexible work environment

Career growth opportunities

Snacks and coffee provided

Qualificações

• Strong knowledge of probability and inferential statistics.
• Hands-on experience with data mining and machine learning techniques.
• Ability to lead projects from conception to delivery.

Responsabilidades

• Conduct in-depth data analyses for business insights.
• Evaluate product and sales performance for recommendations.
• Design experiments to evaluate and enhance product features.

Conhecimentos

Machine learning

Statistical analysis

Data visualization

Python

SQL

Data cleaning

Formação académica

Bachelor's degree in a quantitative field

Ferramentas

PostgreSQL

Snowflake

Descrição da oferta de emprego

Overview

About Uphold
Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking and investments. Uphold offers Consumer Services, Business Services and Institutional Trading and serves millions of customers in more than 140 countries. Uphold aims to open up Web3 finance by removing complexity and lack of transparency. To learn more about Uphold, please visit https://uphold.com.

The Opportunity
Uphold is looking for a Data Scientist to join our Data team. This is an incredibly exciting opportunity to work with engineers, scientists, and analysts who are passionate about data and technology with a strong sense of collaboration and responsibility. You’ll be responsible for data-driven insights that enable the company to optimize business processes, empower financial decisions, and drive the product roadmap. You will gather, organize, and aggregate large sets of data to produce meaningful business insights and solve critical challenges that give us a competitive edge. You will also be tasked with planning and developing the foundations for data-enabled product initiatives.

What You’ll Be Doing Primarily

• Conduct in-depth data explorations and analyses used by leadership, as well as by the marketing, business development, and financial teams to enhance targeting, increase revenue, and allocate resources more efficiently.
• Evaluate product and sales performance to make recommendations to Senior Management to increase productivity and drive efficiency.
• Collect, clean, and explore large datasets for analysis.
• Bring machine learning systems to life as product features and decision-support systems.
• Design and conduct controlled experiments to evaluate and improve key aspects such as product features and marketing communications.
• Research, design, and evaluate state-of-the-art data-mining practices to provide Uphold with a competitive edge.
• Contribute to the definition of overarching processes and practices across the Data Team and the rest of the company.
• Evangelize a data-driven culture throughout Uphold across multiple business units.
• Communicate results clearly, concisely, and assertively, either orally or via well-documented dashboards, visualizations, and reports.

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.
• Demonstrated knowledge of applying data mining and machine learning techniques to real-world data (e.g., classification, clustering, time series forecasting).
• Strong knowledge of Python and SQL.
• Experience working with data warehousing solutions and leveraging models in a cloud-based environment.
• Proven ability to translate complex modeling results into concrete decisions and actions.
• Ability to lead small projects from conception and design through implementation to delivery and communication.
• Desire to grow as a well-rounded data scientist, including quantitative methods, software engineering, communication, and business.
• Creativity, curiosity, and a growth mindset.
• Team player with the ability to work within cross-functional teams.
• Value and results-oriented with a keen eye for quality of deliverables.
• Fluent written and oral English skills.

Bonus If You Have

• An advanced degree (preferred).
• Experience with database systems such as PostgreSQL and Snowflake.
• Fluency in cryptocurrencies, smart contracts, and other digitized financial instruments.
• Community talks, certifications, and/or blog posts in your areas of interest.
• Open-source project contributions of any kind.

Importantly, if you’re looking for a senior role with us, you will have achieved many of the items 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 innovating and challenging themselves daily.
• An international team, in a cutting-edge field, working on fascinating projects.
• Growth and career opportunities, with the chance to be proactive and creative.
• A flexible and enthusiastic work environment that offers snacks, coffee, and other great benefits.
• Open and transparent culture — we gather weekly to share updates, discuss strategic plans, and engage informally over food and drinks.
• Interesting events that keep you connected with the team and celebrate our success.

Be part of a great company that is revolutionizing financial services. Apply now!

EEOC Employer
We’re proud to be an Equal Opportunity Employer and we celebrate our employees’ differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us better.