Data Scientist

3 days ago

Delhi, India Tata Consultancy Services Full time
Locations: Bangalore/Pune/Chennai/Noida/Mumbai/Hyderabad/IndoreExperience : 7-10 yearsA candidate for this position must have had at least 7 years of working experience working with in data science capacity within a fast-paced and complex business setting, preferably working as a Senior Data Scientist.The candidate will have hands-on experience in production implementation of generative AI infused analytics solutionThe candidate will also have experience working with natural language processing as well as experience working with machine learning libraries, for example, xgboost, OpenCV, sklearn, among others.The candidate must also have had substantial experience working on strategy or full-life cycle data science as well as experience working with data mining tools such as SAS, Python, SPSS, and R.A suitable candidate for this position will also have had experience in data mining and predictive modeling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models.The candidate will also have had experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data.The Senior Data Scientist will also be required to have exceptional communication skills in his collaborative role and in the delivery of clear, engaging, and understandable reports. The Senior Data Scientist must be capable of tailoring complex messages into simplified and business applicable material for key stakeholders and senior data science managementStatistics & Data miningGenerative AI and LLM (Open AI, Vertex, Llama etc.)Regression, Clustering, Classification & Recommendation engineDeep Neural networksNLPWell versed with R, Python, and preferably ScalaPreferably exposure/ experience to Cloud native AI/ML services (AWS, Azure, GCP)Preferably exposure/ experience to BI tools like Tableau, power BIBusiness acumen in any domain– Finance, Supply Chain, Manufacturing, Life Sc., Healthcare, Utility or Telecom Domain knowledgeShould have proven thought leadership in solving complex AI/ Data Science problems and consult with stakeholders to initiate projects aligned to business needsWork with business and customer stakeholders (both internal and external) to define product objectives and requirements applying data science principles to products and solutions across business unitsLiaise with data engineers on building end to end solution (data mining, data cleansing and data preparation activities) as part of end-to-end data lifecycleEvangelize AI/ML works done by the team internally and externallyInteract with industry experts to understand and incorporate latest technology innovation, best practices in data sciences, data mining, and software development.Should have effective communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships.

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