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Data Science
Location
Worldwide
Posted
5 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Science
Capgemini
Role Description Understand client business requirements and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways. Help & manage teams of data scientists and produce project deliverables. - 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 using machine learning & deep learning techniques. - Help enhance data collection procedures to include information relevant for building analytical systems. - Doing ad-hoc analysis and presenting results in a clear manner. - Follow and help improve ‘Analytics-Delivery’ procedures using detailed documentation. - Create custom reports and presentations accompanied by strong data visualization and storytelling. - Present analytical conclusions to senior officials in a company and other stakeholders. Qualifications - Engineering graduates (B.E/ B.Tech) / Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). - Impact oriented problem solver with a skill of solving business problems with analytics and data as primary means. - 2-5 years of experience in delivering data & analytics delivery engagements in one/two of the following areas: Consumer Products, Retail, Manufacturing, Automotive, Life Sciences, Financial Services, Telecom, Media, Technology. - Proficient in data mining and data cleansing techniques. - Excellent understanding and hands-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. - Excellent understanding and hands-on experience on building deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder). - Proficient in coding in common data science languages & tools such as R, Python, Go, SAS, Matlab. - Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch. - Excellent understanding and hands-on experience of forecasting models. - Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark. - Experience on deployment of model in production. - Familiarity with database systems of SQL and NoSQL. Benefits - Flexible work arrangements to provide support, including remote work and flexible work hours. - Career growth programs and diverse professions crafted to support exploration of opportunities. - Valuable certifications in the latest technologies such as Generative AI. Company Description Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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