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).
Solid 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.
Valuable 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 skilled 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