Data Scientist

Lufthansa Technik Services India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Lufthansa Technik Services India Pvt Ltd in Bengaluru seeks a senior data scientist to deliver advanced analytics projects, collaborate with data/ML engineers, and manage end-to-end pipelines. You will build dashboards using Dash or Flask for clear reporting and continuously apply AI advancements across the company.

The role demands 4–8 years of DS/ML experience, strong SQL, and cloud/DevOps exposure, with Python as the core toolset.

Qualifications

• 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.

Responsibilities

• Deliver advanced analytics and data science projects within predefined timelines and budget constraints.
• Collaborate with data engineers and ML engineers to comprehend data and models using advanced analytics capabilities.
• Develop efficient solutions for complex problems utilizing data structures and statistics.
• Manage the entire data science pipeline from scoping to maintenance, including modeling and insights generation.
• Design dashboards using Python Dash (Plotly) or Flask for effective data visualization and reporting.

Skills

Python

Dash

Pandas

Scikit-Learn

Pydantic

TensorFlow

Statistics

Probability

Time series modeling

Predictive modeling

Distributions

Regression

DevOps/MLOps

OpenShift/Kubernetes

Azure ML

SQL

KQL

Education

Bachelors or Masters in Computer Science or related field

Tools

OpenShift/Kubernetes

Azure ML

Azure Synapse

SQL

KQL

Job description

• Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.
• 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.
• 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.
• 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.
• 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).
• Strong 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.