Senior Data Scientist

دوام كامل في a Laimoon Verified Company في UAE

نُشرت يوم January 30, 2025

تفاصيل الوظيفة

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.ResponsibilitiesData 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.RequirementsBachelor'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.

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الصفحة الرئيسية الإمارات العربية المتحدة Senior Data Scientist

الصفحة الرئيسية الإمارات العربية المتحدة Senior Data Scientist

Senior Data Scientist

تفاصيل الوظيفة

Apply safely

الشركة المعلنة عن الوظيفة

Confidential

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