Capgemini Vacancy News 2023 Hiring For Data Scientist | Entry-Level Careers

Capgemini Vacancy News 2023 Hiring For Data Scientist | Entry-Level Careers. Candidates with a technical graduation degree are eligible to apply for the job role. Below are the Capgemini Job description, Eligibility, and details.

Company Name: Capgemini

Job Role: Data Scientist

Location: Bangalore

Experience: Freshers

Education: B.E/B.Tech/M.E/M.Tech/MCA/BCA/B.Sc/M.Sc

Batch: Any

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Capgemini Vacancy News 2023

Job Description

• Develop strategies to solve problems in logical yet creative ways
• Helping & Managing teams of data scientist and produce project deliverables
• Identify and address client needs in different domains.
• Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods
• Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques
• Help enhance data collection procedures to include information that is relevant for building analytical systems
• Doing ad-hoc analysis and presenting results in a clear manner
• Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations
• Create custom reports and presentations accompanied by strong data visualization and storytelling
• Present analytical conclusions to senior officials in a company and other stakeholders

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Eligibility

• Proficient in data mining and data cleansing techniques
• Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
• Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
• Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
• Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV etc.