Data Scientist

2 weeks ago

Bengaluru, Karnataka, India Lufthansa Technik Services India Private Limited Full time

Role Summary:


We are seeking a highly skilled Data Scientist to lead advanced analytics and project delivery for our organization. The successful candidate will have a strong background in data science, project management, and technical expertise.



Key Responsibilities:


  • Project Delivery: Lead the delivery of advanced analytics projects within predefined timelines and budget.
  • Collaboration: Collaborate 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.
  • 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.


Desired Candidate Profile:


We are looking for a highly skilled Data Scientist with a strong background in data science, project management, and technical expertise. The ideal candidate will have a Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.


The successful candidate will have a minimum of 3 to 4 years of professional experience in data science and project management. They will also have proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow) and strong knowledge in statistics and probability.


Additionally, the ideal candidate will have experience in setting up cloud alerts, monitors, dashboards, and logging systems, and troubleshooting data platform infrastructure as needed. Experience in OpenShift/Kubernetes and Azure ML is desirable.


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