At Fintech Company (Permanent), in Portugal
Salary: €30.000 - €50.000
Expires at: ********
Remote policy: Full remote
We are cutting-edge fintech company that revolutionizes financial management. Our innovative platform combines advanced technology with personalized financial insights, empowering individuals and businesses to make informed decisions, optimize investments, and achieve their financial goals. With secure data analytics and seamless user experiences, we bring simplicity and efficiency to the world of finance, empowering you to navigate the complexities of the financial landscape with confidence.
As a Data Scientist, you will play a pivotal role in analyzing complex financial data, developing predictive models, and contributing to data-driven decision-making. Our company fosters a collaborative and innovative environment, where your expertise will drive meaningful impacts on our cutting-edge financial solutions. Responsibilities:
Design and implement machine learning models, algorithms, and statistical analyses to extract insights from complex datasets.
Develop data pipelines and automated processes for data collection, cleaning, preprocessing, and integration.
Perform exploratory data analysis and generate visualizations to communicate findings effectively.
Build predictive models and perform advanced statistical analysis to support decision-making processes.
Conduct A/B testing and other experiments to evaluate model performance and validate hypotheses.
Stay up-to-date with the latest industry trends, techniques, and tools in data science and machine learning.
Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.
Contribute to the development and improvement of our data infrastructure, ensuring scalability, reliability, and efficiency. Main requirements Minimum of 2 years of professional experience as a Data Scientist
Proficiency in programming languages such as Python or R for data manipulation, analysis, and modeling.
Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) to effectively communicate insights.
Familiarity with SQL and databases for data extraction and manipulation.
Knowledge of data preprocessing techniques (e.g., feature engineering, outlier detection) and data cleaning methods.
Strong problem-solving skills and the ability to work with large and complex datasets.
Benefits & Perks Highly competitive salary and comprehensive benefits package.
Flexible working hours
Collaborative and inclusive work environment that values creativity and innovation.
Opportunities for professional growth and career advancement within a rapidly expanding organization.
Access to cutting-edge technologies and tools to support your data science initiatives.
Work-life balance and a supportive culture that values your personal well-being.
