Data Scientist @ Capgemini

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Data Scientist

Capgemini
4 - 7 years
Bengaluru
9 days ago
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Job Description

Your Role

Develop and maintain scalable data pipelines using Python/Java/Scala/PySpark and Big Data tech (Hadoop, Spark, Scala).

Build, train, and optimize ML models using frameworks like PyTorch, TensorFlow, Keras, and XGBoost.

Design and manage real-time data workflows leveraging Kafka, SQL, and MongoDB.

Create dashboards and insights using Tableau or Power BI to support decision-making.

Utilize Cloud platforms (Azure/Databricks) to deploy and operationalize data and ML solutions.

Ensure the reliability, scalability, and performance of our data assets.

Design and maintain quality indicators as well as the corresponding monitoring and alerting means.

Troubleshoot and document issues respecting Amadeus standards.

Continuous improvement mindset applied to data related issues, systems, and processes.

Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization.
Your Profile

Analyze specifications, help to define user requirements for the development of software solutions.

Design and development.

Design technical solutions and perform feasibility studies.

Propose viable technical solutions.

Develop software according to Amadeus standards.

Data Engineering Activities

Acquire datasets that align with business needs.

Develop algorithms to transform data into useful, actionable information.

Design, develop, construct, test, and maintain optimal data pipeline architectures.

Create new data validation methods and data analysis tools.

Ensure compliance with data governance and security policies.

Identify ways to improve data reliability, efficiency, and quality.

Data Science activities ML Model training. ML Model calibration for different customers

KPI definition and measurements.

Data mining, data analysis

Research

Design new algorithms / models. Enhance the existing ones.

Industrialize and implement new prototypes.

Test and support

Conduct unit, package and performance tests and ensure a level of quality in line with the Amadeus guidelines.

Participate in the validation phase of the product cycle, fine-tuning when necessary to finalize the product.

Support the customer, perform investigation about the model result and behavior.

Familiarity with Azure cloud technologies.

Familiarity with Azure Databricks, Azure ML and Databricks SQL.

Familiarity with Snowflake Data Cloud will be a plus.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Bengaluru

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Keyskills: data scientist scala data mining sql alerting tensorflow java data science spark pytorch keras hadoop big data mongodb azure snowflake python data analysis databricks power bi tableau compliance azure ml kafka data governance

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Expected Salary (*)

Desired Industry (*):

Functional area / Department (*):

Enter Skills (key skills, subjects, technologies & roles to use in search)

Write briefly about yourself, your experience and education (*)

Attach ResumeMax 2.38 MB (RTF, PDF, DOC, DOCX formats only parsed)

Please, check the file size and type.

Add social media [ + ]

Create password

I agree with website service terms and conditions

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Capgemini

Capgemini Engineering combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Altran acquired by Capgemini in 2020 - and Capgemini's digital manufacturing expertise. With broad industry knowledge and cutting-edge ...

Data Scientist @ Capgemini

Home > Data Science & Machine Learning

Data Scientist

Job Description

Job Classification

Contact Details:

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Similar positions

IMU - AI & Data Manager

Data Scientist -Telecom (RAN+ AI )

IMU - AI & Data Manager

Data Scientist-Artificial Intelligence

Capgemini

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