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, Tensor Flow ). Strong knowledge of
statistics
and
Probability . Set up cloud alerts, monitors, dashboards, and logging systems; troubleshoot data platform infrastructure as needed. Experience in
Open Shift/Kubernetes
and
Azure ML
is desirable. Proficiency in programming languages: Python (Dash) and database query languages
SQL
or
KQL . Positive applied statistical skills, including hands-on experience in time
series modeling, predictive modeling, distributions,
and regression . Knowledge of
Dev Ops/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 Dev Ops, preferably with hands-on experience in one or more cloud service providers, with Azure preferred.

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