Job DescriptionRoles & responsibilities : NnDelivery of Key Projects: Nn Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. NnnCollaboration: Nn Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. NnnSolution Development: Nn Develop efficientsolutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics. NnnEnd-to-End Pipeline Management: Nn Manage the entiredata science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. NnnDashboard Design: Nn Design dashboardsusing Python Dash (plotly) or Flask framework for effective data visualization and reporting. NnnTechnological Expertise: Nn Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. NnnETL Pipeline Building: Nn Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. NnnData Procurement and Management: Nn Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. NnnTechnology Exploration:



Nn Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. NnnTechnical Skills: Nnn Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow). N Strong knowledge of statistics and Probability. N Set up cloud alerts, monitors, dashboards, and logging systems; troubleshoot data platform infrastructure as needed. N Experience in OpenShift/Kubernetes and Azure ML is desirable. N Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL. N Positive applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and N regression. N Knowledge of DevOps/MLOps. N Exceptional analytical and problem-solving skills. Nnn NPreferred candidate profile Nnn Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. N Total of 4 to 8years of professional experience. N Minimum of 4 years of experience in data science/machine learning. N Minimum 3 years of experience with SQL. N Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure preferred. N

📌 Data Scientist (Vasanthanagar)
🏢 Lufthansa Technik Services India
📍 Vasanthanagar