Job Description

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



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

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