Data Scientist Research Lisbon

Riskified; Lisboa; Presencial; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Benefits package for work-from-home equipment

Gym membership

Wellbeing activities

Hybrid work mode

Resumo da oferta

A leading tech company is seeking a Data Scientist in Lisbon to leverage advanced algorithms and data to drive insights and decision-making. The successful candidate will collect and analyze data, develop predictive models, and work collaboratively across teams. Requirements include a B.Sc in a relevant field and 3+ years of practical machine learning experience. The role offers hybrid working options and various benefits, empowering you to thrive in a dynamic environment.

Qualificações

• 3+ years of experience in machine learning algorithms and production deployment.
• Proficiency in Python and data manipulation tools.
• Strong foundation in statistical concepts.

Responsabilidades

• Collect, clean, and transform large data sets.
• Apply statistical methods to identify trends.
• Develop and implement machine learning algorithms.
• Build and optimize predictive models.
• Present analysis results using visualization techniques.

Conhecimentos

Machine Learning

Statistical Analysis

Python

Data Visualization

Critical Thinking

Formação académica

B.Sc in Computer Science or related field

Ferramentas

SQL

Pandas

NumPy

Airflow

Docker

Descrição da oferta de emprego

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

A third party will recruit, hire, and employ this position.

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

Advantages

• 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
• Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.

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.

This is a hybrid position based in Lisbon, working 2-3 days from the office weekly.