Matematicas-Jobs in Spanien

Are you ready to elevate your career in the dynamic Abu Dhabi? We're thrilled to present an opening to become part of our energetic team in this thriving city. If you're considering a move to the UAE, continue reading for more details!

ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.

ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA's largest D&A consulting companies.

Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.

As a Senior Data Scientist, you will engage deeply in data exploration, model development, and the implementation of advanced analytics and machine learning solutions. This role is centred on hands-on data manipulation, building predictive models, and generating actionable insights to drive data-informed decisions across the organization.

Responsibilities

• Data Analysis: Perform comprehensive analysis of structured and unstructured datasets using statistical and exploratory data analysis (EDA) techniques to uncover patterns and insights.
• Data Cleaning and Transformation: Clean, preprocess, and transform raw data to ensure quality and readiness for analysis and modeling.
• Feature Engineering: Develop and select relevant features to enhance model performance and predictive capabilities.
• Machine Learning: Design, implement, and validate machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or similar.
• Predictive Modeling: Create and refine predictive models to solve business problems, leveraging techniques like regression, classification, clustering, and time-series analysis.
• Scalable Pipelines: Develop and maintain scalable data pipelines using SQL, NoSQL, and other relevant technologies to handle large datasets efficiently.
• Model Deployment: Deploy models into production environments using platforms like Dataiku, ensuring seamless integration and performance monitoring.
• Statistical Analysis: Apply advanced statistical methods to interpret complex data sets and derive meaningful insights.
• Data Visualization: Create compelling visualizations and dashboards using Power BI to effectively communicate findings to technical and non-technical stakeholders.
• Data Storytelling: Translate analytical results into clear, actionable narratives that support strategic decision-making.
• Cross-Functional Collaboration: Work closely with product owners and other data professionals to develop analytical data products.
• Technical Support: Provide support to developed products.
• Technical Documentation: Maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and knowledge sharing.

Requirements

• Bachelor’s degree in computer science, Data Analytics, Mathematics, Information Management, or Statistics. A master’s degree is preferred with a focus on Data Science, Machine Learning or a related discipline.
• Minimum of 8 years in data science, analytics, or a related technical field, with hands-on experience in machine learning and data modeling.
• Demonstrated success in developing and deploying data science projects in large organizations or complex environments.
• Programming Languages: Proficiency in Python, R, or similar languages for data analysis and model development.
• Data Modeling: Strong skills in data modeling with experience in SQL and NoSQL databases.
• Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Data Science Platforms: Experience with Dataiku Data Science platform and familiarity with Microsoft Azure services, including Azure ML Studio and Azure Copilot Studio.
• Data Visualization: Proficiency in data visualization tools like Power BI, Tableau, or similar platforms.
• Massive Parallel Processing (MPP) Technologies: Familiarity with MPP platforms (e.g., Databricks, Snowflake) is a plus.
• Version Control: Experience with Microsoft DevOps as version control systems.
• Data Science Certification from Microsoft and Dataiku (preferred). Additional certifications in machine learning or data analytics are a plus.

Our offer to you!

• Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do.
• Possibility to grow inside the team.