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 productive 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 ).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 .Positive applied statistical skills, including hands-on experience in time

series modeling, predictive modeling, distributions,

andregression .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.

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