Data Scientist - Innovation Project (F/M/Div.)

.Social network you want to login/join with:Data Scientist - Innovation Project (f/m/div.
)Location: null, PortugalJob Category:OtherEU work permit required:YesJob Reference:8eb4df5510f8Job Views:19Posted:03.03.2025Expiry Date:17.04.2025Job Description:Your contribution to something big:Develop Predictive Models and Algorithms: Design and implement data modeling processes to create predictive models using advanced deep learning techniques and test new approaches to solve business problems effectively.Analyze and Interpret Complex Data: Utilize tools to explore, clean, and manipulate data, ensuring its quality and integrity while deriving actionable insights from large datasets.Leverage Big Data Ecosystems: Work within Hadoop environments, utilizing tools like Impala for efficient processing and querying of massive data volumes, enabling scalable analytics solutions.Visualize Insights and Engage Stakeholders: Create intuitive dashboards and reports with tools like Tableau and Power BI, presenting results to stakeholders and proactively identifying improvement opportunities.Experimentation and Performance Testing: Continuously test and evaluate the performance of data-driven products, implementing iterative improvements to enhance business processes and outcomes.A solid background in Machine Learning (ML) or Statistics is crucial for this role, as well as expertise in predictive analytics and visualization tools.QualificationsWhat distinguishes you:Education: Degree in Data Science, Computer Science, Mathematics, or a related field.Experience: Experience in data analysis, predictive modeling, and working within the Big Data ecosystem, particularly using Hadoop-based tools like Impala for efficient processing and querying.Know How:Proficient in data science techniques, including statistics, machine learning, and deep learning.Skilled in Python, R, and database management (SQL and NoSQL).Experience with Big Data tools (HDFS, Hive, Impala) and data visualization (Tableau, Power BI).Ability to analyze unstructured data and create predictive models.Familiar with advanced methods for problem-solving and prototyping interactive dashboards.Working Style and Methods: Strong intellectual curiosity with a proactive approach to acquiring and applying knowledge.
Analytical and structured in problem-solving, with an ability to manage complex datasets and contribute to data-driven decision-making.Personality: Demonstrates critical thinking, adaptability, and a solution-oriented mindset.
Has a collaborative spirit with an aptitude for working with advanced statistical and machine learning models