Data Scientist - Bengaluru, India - Capgemini Invent

Capgemini Invent

Verified Company

Bengaluru, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

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 stateoftheart 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 adhoc 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

Primary Skill:

Proficient in data mining and data cleansing techniques
Excellent understanding and handon experience of datascience 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 handon experience on building Deeplearning 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.
Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoast, H2O etc.
Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc.
Experience in multiple domains and successfully executed big project in different domains.
Experience on deployment of model in production.
Familiarity with database systems of SQL and NoSQL

Familiarity with data visualization tools such as Tableau, MS PowerBI etc

Data Scientist #NLP #Machine Learning #Deep Learning #ML