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Data scientist

6.00 to 11.00 Years   Delhi   04 Dec, 2023
CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Hi Candidate,We have an urgent requirement for Data science role:-Below are the details for the same:-Experience range: 6-12 YearsLocation : PAN IndiaJD_:Preferred Female candidatePrimary skills should have: Data Science/machine learning/Deep learning/pythonJob descriptionExperience: Optimally between 7 - 10 years of experience as data scientist manipulating data sets, buildingmachine learning models.Educational qualifications expected: Masters or PhD in Statistics, Mathematics, Computer Science or anotherquantitative field.Requirements1. Critical Requirementsa. AWS Stack:i. Working knowledge with AWS SageMaker, AWS Comprehend is a must.ii. Desirable working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS Athena, AWSRedShift.(OR)b. Azure Stack:i. Must have knowledge in Azure Datalake, Azure function, Azure ML, Databricks, Azuredata factory, PostgreSQLii. Working knowledge in Azure devops, Git flow would be an added advantage.2. Should have demonstrable knowledge and expertise in models with timeseries data.3. Working knowledge in model development & delivering data science projects in Industry 4.0 is an addedadvantage.4. Strong problem-solving skills with an emphasis on sustainable and reusable development.5. Experience using statistical computer languages to manipulate data and draw insights from large data sets: Python/PySpark, Pandas, Numpy, Sklearn / XGboost / SparkML, seaborn / matplotlib,6. Knowledge in Streamlit.io is a plus7. Familiarity with Scala, GoLang, Java would be added advantage.8. Working knowledge of tools like KNIME, Weka, RapidMiner, DataIKU, Alteryx would be desirable.9. Should have hands-on expertise and knowledge on MLOps either custom created or using tools availablein the market.10. Demonstrable knowledge in choice of machine learning & deep learning algorithms for analysing data andcreating models.11. Knowledge of advanced Analytics techniques like NLP (Natural Language Processing) and Image Analytics(OpenCV, OCR, tesseract)Roles and Responsibilities:Provide innovative solutions to the data science problems that are faced in the project and solve themwith technically superior models.Where possible, should document the process of creating the models and help in creating a knowledgemanagement artefact that can be used for other similar areas.Create & apply best practices in delivering models written with clean code.Should work innovatively and have a sense of proactiveness in fulfilling the project needs.

Keyskills :
data scienceartificial intelligencemachine learning

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