Roles & responsibilities : /n /n Delivery of Key Projects: /n /n

- Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.

/n /n /n Collaboration: /n /n

- Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities.

/n /n /n Solution Development: /n /n

- Develop effective solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics.

/n /n /n End-to-End Pipeline Management: /n /n

- Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance.

/n /n /n Dashboard Design: /n /n

- Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting.

/n /n /n Technological Expertise: /n /n

- Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.

/n /n /n ETL Pipeline Building: /n /n

- Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.

/n /n /n Data Procurement and Management: /n /n

- Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.

/n /n /n Technology Exploration: /n /n





- Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company.

/n /n /n Technical Skills: /n /n /n

- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow).

/n

- Strong knowledge of statistics and Probability.

/n

- Set up cloud alerts, monitors, dashboards, and logging systems; troubleshoot data platform infrastructure as needed.

/n

- Experience in OpenShift/Kubernetes and Azure ML is desirable.

/n

- Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL.

/n

- Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and

/n

- regression.

/n

- Knowledge of DevOps/MLOps.

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- Exceptional analytical and problem-solving skills.

/n /n /n /n Preferred candidate profile /n /n /n

- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.

/n

- Total of 4 to 8 years of professional experience.

/n

- Minimum of 4 years of experience in data science/machine learning.

/n

- Minimum 3 years of experience with SQL.

/n

- Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure preferred.

/n

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