Data Scientist (with Python)

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. Job Profile: Data Scientist (ETL Engineer Azure, Power BI, Python) Client: Lufthansa Technik (Onsite Client Office) Mandatory Skills ETL Engineering Azure Synapse Analytics Power BI Python Role Summary We are looking for a Data Scientist to design, develop, and deliver end-to-end analytics solutions in the Finance domain. The role requires expertise in Python, ETL pipelines, Azure data analytics toolsets, and dashboarding solutions . You will work closely with Data Engineers and ML Engineers to ensure seamless delivery of advanced analytics projects and automation of AI/ML workflows. Key Responsibilities Project Delivery & Collaboration Deliver advanced analytics and data science projects within scope, time, and budget. Collaborate with Data & ML Engineers to understand data and model requirements. Translate business needs into scalable technical solutions. Data Science & Analytics Develop solutions using Python, statistics, and machine learning techniques. Perform end-to-end pipeline management: problem scoping, data preparation, modeling, visualization, monitoring, and maintenance. Build predictive models, time-series forecasts, regression/classification solutions. Visualization & Reporting Design interactive dashboards in Power BI, Python Dash (Plotly), or Flask . Create data stories for business users through effective visualization. ETL & Data Management Build and maintain ETL pipelines in SAP Data Sphere and integrate with Power BI / SAP Analytics Cloud. Manage data procurement, processing, and integration strategies. Technology & Innovation Work with Azure Synapse Analytics, Azure ML, and CI/CD pipelines . Troubleshoot and monitor data platform infrastructure (alerts, logs, dashboards). Explore and apply emerging technologies like GenAI and Agentic AI . Technical Expertise Required Strong skills in Python and libraries: Pandas, PySpark, Scikit-Learn, TensorFlow, Keras, PyTorch, etc. Solid understanding of Statistics & Probability . Hands-on experience in Finance domain projects . Experience with SAP Data Sphere, Power BI, and SAC . Working knowledge of DevOps/MLOps in Azure . Strong problem-solving, analytical, and communication skills. Qualifications Bachelor's/Master's in Computer Science or related field. 35 years of professional experience. Minimum 3 years in Data Science / ML / AI . At least 2 years in Finance domain (preferred) . Proven experience with ETL pipelines and dashboarding . Location: Onsite Client Office (Lufthansa Technik) Experience: 3 to 5 years Domain: Finance / Data Analytics .