AI, Python engineer

Job Description Data Analytics & Data Science Specialist

Key Responsibilities:

• Analyze assess and interpret large datasets using advanced analytics techniques on modern data platforms.
• Prepare reports dashboards and insights to support business decision-making.
• Evaluate data structures data quality and business processes to identify improvement opportunities.
• Design develop and maintain effective data models to support analytical and operational requirements.
• Apply machine learning techniques and integrate analytical outcomes into business solutions and processes.
• Perform data transformation activities including data enrichment blending expansion filtering consolidation and cleansing.
• Prepare cost-benefit analyses and support techno-economic evaluations for data-driven initiatives.
• Develop and present recommendations decision-making proposals and actionable insights to stakeholders.
• Participate in the development of assessment monitoring and steering tools for handling multiple data sources and ensuring data availability.
• Manage end-to-end analytics and data science projects ensuring timely delivery and alignment with business objectives.
• Collaborate with cross-functional teams to implement data-driven solutions and drive continuous improvement.

Required Skills & Qualifications

• Strong experience in Data Analytics Data Science or related fields.
• Hands-on experience with data modeling data transformation and data management techniques.
• Knowledge of Machine Learning Statistical Analysis and Predictive Modeling.
• Experience working with modern data platforms such as Azure AWS Google Cloud Databricks Snowflake or similar.
• Proficiency in SQL and programming languages such as Python or R.
• Experience with data visualization and reporting tools such as Power BI Tableau or equivalent.
• Strong analytical problem-solving and stakeholder management skills.
• Experience managing analytics or data-driven projects.

Preferred Qualifications

• Experience in cloud-based data ecosystems and big data technologies.
• Understanding of data governance data quality and data architecture principles.
• Certifications in Data Analytics Data Science Machine Learning Azure AWS or related technologies are an advantage.

Additional Information :

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Remote Work :

No

Employment Type :

Full-time