Gurugram, Haryana, India
Information Technology
Full-Time
Lufthansa Technik Services India Pvt Ltd
Overview
Roles And Responsibilities
- 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.
- Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics.
- 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.
- 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.
- 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.
- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow).
- Strong Knowledge in Statistics and Probability.
- Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed.
- Experience in OpenShift/Kubernetes, 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.
- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.
- Total of 4 to 10 years of professional experience.
- Minimum 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 being preferred.
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