NumPy Jobs in Lisbon.
All active NumPy roles based in Lisbon.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
- Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
- Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
- Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
- Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
- Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
- Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
- Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
- Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Qualifications
- B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
- Strong understanding and practical experience with various machine learning algorithms.
- Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
- Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
- Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
- Proficiency in data visualization libraries, to create meaningful visual representations of complex data
- Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
- Experience in the fraud domain
- Experience with Airflow, CircleCI, PySpark, Docker and K8S
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified
About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the Role
The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Science Team Leader, you will lead a talented team of data scientists while maintaining hands-on involvement in complex technical projects. You will be responsible for recruiting, mentoring, and developing team members while ensuring the delivery of high-impact machine learning solutions for fraud detection and risk assessment.
What You'll Be Doing
Technical Leadership
- Define technical approaches for complex data science projects involving tabular data at scale
- Lead critical projects and contribute code to production systems
- Establish and maintain best practices for model development, evaluation, and deployment
- Conduct code reviews to ensure quality, maintainability, and adherence to standards
- Guide team members through complex technical challenges
Team Leadership & Management
- Recruit, onboard, mentor, and manage data scientists
- Foster a collaborative, innovative environment that encourages experimentation and knowledge sharing
- Work closely with data engineers, ML engineers, fraud domain experts, and product managers
- Define success metrics and demonstrate business value of data science initiatives
- Forecast team needs and advocate for necessary tools and infrastructure
Qualifications
Required
- M.Sc in Computer Science, Mathematics, Statistics, or a related field
- 6+ years of proven experience designing and implementing machine learning algorithms with tabular data and successfully deploying them to production
- 3+ years of experience managing and leading data science teams (minimum 3 direct reports)
- Demonstrated track record in recruiting, interviewing, and hiring data science talent
- Strong understanding and practical experience with various machine learning algorithms for structured/tabular data
- Strong programming skills with high standards for code quality - proficiency in Python with experience writing clean, maintainable, production-grade code
- Experience with data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform large-scale tabular datasets
- Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
- Strong analytical and critical thinking skills to approach business problems and translate them into actionable solutions
- Demonstrated ability to lead cross-functional teams and contribute to a positive work environment
Advantages
- Experience in the fraud domain - Strong advantage
- Experience with Airflow, CircleCI, PySpark, Docker and K8S
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.
We’re looking for bright, driven, and passionate people to grow with us.
Some of our Lisbon Benefits & Perks:
- Hybrid mode of work
- Flexible schedule
- Healthcare benefits
- Fully-stocked kitchens
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
- Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
In the News
Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology
Globes: Riskified is among Israel’s fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Ready to apply?
Apply to Riskified