(Competitive pay)
Role
Company
- 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.
- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow).
- Strong Knowledge in Statistics and Probability.
- Set up cloud alerts, monitors, dashboards, and logging systems, and 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.
Founded in 2005, Lufthansa Technik Services India (LTSI) is Lufthansa Technik’s fully owned, strong, and growing subsidiary in India and South Asia. Based in Bangalore, more than 300 highly skilled professionals support airline customers across the globe with efficient and reliable component services for all major commercial aircraft types. LTSI provides airlines access to 24/7 support on a full-service spectrum of integrated and comprehensive services, including access to Lufthansa Technik’s global spare part pool, best-in-class repair and overhaul services within an in-house and contracted MRO network, in-depth engineering support, and tailored logistic solutions to enable seamless aviation operations. LTSI’s dedicated customer support teams take care of needs of airline partners, from comprehensive long-term support packages to immediate ad-hoc needs for a loan, exchange, or repair. The eFreight Pre-Check center at LTSI cross checks and validates all documentation requirements for air freight so that the shipments are good to go on the aircraft. Since 2019, LTSI has expanded its competencies into Digital Services, driving the digital transformation and business model development of Lufthansa Technik with state-of-the-art Data Analytics Services.
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