Data Scientist with Python

About Us MyRemoteTeam Inc is a fastgrowing distributed workforce enabler helping companies scale with top global talent We empower businesses by providing worldclass 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 endtoend 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 endtoend pipeline management problem scoping data preparation modeling visualization monitoring and maintenance Build predictive models timeseries 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 ScikitLearn TensorFlow Keras PyTorch etc Solid understanding of Statistics Probability Handson experience in Finance domain projects Experience with SAP Data Sphere Power BI and SAC Working knowledge of DevOps MLOps in Azure Strong problemsolving analytical and communication skills Qualifications Bachelors Masters 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