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Data Scientist

R Azure Machine Learning Git Python AWS Deep Learning SQL TensorFlow
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Description
The Data Scientist role combines deep data and analytics skills with strong business acumen to solve business problem of Cognitive Computing Solutions. The responsibilities include working with business leaders to solve business problems by understanding, preparing, and analysing data to predict emerging trends and provide recommendations to optimize business results

The data scientist is expected to have expertise of Advanced Analytics techniques that are traditionally applied to structured data, as well as deep understanding of Natural Language Processing and Machine Learning techniques such as Deep Learning and GenAI for unstructured content, so as to enable composition of holistic cognitive solutions. The candidate is expected to be well versed in one of the following areas of Natural Language Processing, Image Processing, Video Processing, Voice Processing, Q&A assistant solutions and other forms of GenAI solutions. The candidate is expected to have knowledge and/or experience in the following skills with focus on Data Science: Machine Learning, Git, Agile, SQL, Python, R, Predictive Modelling, Algorithms, Web Scraping, TensorFlow, Deep Learning, Statistics and Natural Language Processing / GenAI and Agentic AI. This will include the following:
  • Experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements.
  • High proficiency in algorithms used for structured and unstructured data analysis
  • Expert-level proficiency in statistical/ML predictive techniques such as Regression, Random Forest, Decision Tree, SVM etc or Experience in Probabilistic techniques, Reinforcement learning, Deep Learning- RNN, LSTN, NLP and Interactive AI (Chatbots)
  • Expert-level proficiency in Foundational s models / LLMs, Lang chain, Vector DB, Python or data science stack.
  • Operating knowledge in any one of the of cloud computing platforms (IBM, AWS, Google, Azure) and its data science stack
  • RDBMS and data management concepts as well as fluency in SQL scripting.
  • Experience in implementing distributed computing using Python
  • Experience in Agile Delivery and version management
The ideal candidate will have 7-12 years of experience in designing, GenAI, Deep Learning, ML/statistical solutions to complex business problems at scale; developing & testing modular, reusable, efficient and scalable code to implement those solutions. The skills include strong coding, statistical, mathematical, predictive modelling, and business strategy skills and will need to be able to effectively communicate orally and visually -- what all of the data means in the context of our business.
 
IBM
IBM
Business Development Business Information Systems CRM Data Management Software

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