Job DescriptionRoles & responsibilities :
NDelivery of Key Projects:
N
- n
- Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. N

nCollaboration:
N
- n
- Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. N

nSolution Development:
N
- n
- Develop efficientsolutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics. N

nEnd-to-End Pipeline Management:
N
- n
- Manage the entiredata science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. N

nDashboard Design:
N
- n
- Design dashboardsusing Python Dash (plotly) or Flask framework for effective data visualization and reporting. N

nTechnological Expertise:
N
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- Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. N





nETL Pipeline Building:
N
- n
- Construct ETL pipelines using Python or Azure Synapse to facilitate effective data processing and management. N

nData Procurement and Management:
N
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- Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. N

nTechnology Exploration:
N
- n
- Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. N

nTechnical Skills:
N
- n
- 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 langu

📌 Hiring: Data Scientist (Karnataka)
🏢 Lufthansa Technik Services India
📍 Karnataka