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About Fligoo Fligoo is developing the next generation of AI technology for large customer-based enterprises. Our technology leverages AI to help the most important financial services, retail, and industrial companies in the world to optimize processes, predict behavior, and maximize results. We partner with organizations such as Wells Fargo, Broadridge, Bradesco, Mastercard, Basf, among others. 2-min video: About Position Overview Location: Córdoba (Hybrid: 3 days at office, 2 days remote). Position: Full-Time. Job Purpose The Data Scientist Junior will be responsible for learning and applying data science methodologies in a business context to address real-world challenges. Under the guidance of experienced data scientists, the trainee will contribute to analytic approaches, perform data analyses, and transform findings into valuable business insights. The role aims to cultivate foundational skills in data science through practical applications and collaboration within a dynamic team. Responsibilities Contribute in defining hypotheses and proposing analytic approaches based on available data. Collaborate to the development and execution of tests to validate hypotheses. Work on understanding data sources and extracting relevant information. Collaborate to perform data quality checks to ensure the effectiveness and reliability of data. Learn to the definition of feature extraction schemas in collaboration with the team. Contribute to communicate findings and results through effective data storytelling resources. Assist in validating running solutions through hypothesis testing. Qualifications Currently pursuing a degree in Computer Science, Statistics, Mathematics or other quantitative fields - Desire Technical Skills Basic understanding of Python libraries: Pandas, Numpy , Matplotlib, Seaborn, GGPlot. Knowledge of machine learning libraries: Scikit-learn, XGBoost , Keras. Exposure to data visualization tools and frameworks. Familiarity with Linux/MacOS/Windows operating systems. Basic proficiency in a Python IDE (e.g., Pycharm or VIM). Desirable: Exposure to project task management platforms (e.g., JIRA, Trello). Desirable: Familiarity with code versioning using systems like Git. Desirable: Understanding of testing methodologies (e.g., pytest). Desirable: Awareness of virtualization concepts, such as Docker. Other Skills Developing effective communication skills, both written and verbal, especially in discussing technical subjects. Demonstrating a strong interest and aptitude for learning new technologies and methodologies. Intermediate English proficiency, enabling participation in discussions on technical topics. Experience (Desirable) Familiarity or exposure to descriptive, diagnostic and prescriptive analytics. Understanding of correlation analysis techniques (e.g., scatter plots, correlation matrices). Basic familiarity with time series plots and variable importance. Exposure to tabular data, time series, and tree-based algorithms (e.g., Random Forest, Gradient Boosting Machines). Exposure to communication tasks related to presenting analytic results. Understanding of supervised and unsupervised learning concepts. Exposure to A/B testing campaigns is a plus. #J-18808-Ljbffr
