Senior Data Scientist

6 days ago

Hyderabad, Telangana, India Ray Business Technologies (A CMMI Level 3 Company) Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Company Description

Ray Business Technologies is a leading provider of IT services and solutions, bringing over 16 years of expertise to the Global Technology landscape. As an ISO CMMI Level 3 and ISO 27001:2022 certified company, we have operations in the USA, Canada, Australia, Philippines, and India. Our skilled team delivers tailored solutions across various domains including AI, Boomi, SAP, Cloud, ERP, CRM, CMS, BI, and Custom Development. We are committed to driving growth and innovation through quality and excellence.

Role - Senior Data Scientist

Location : Hyderabad

Responsibilities:

  • Sound knowledge on 
    Machine Learning, Deep Learning, statistical
     modelling, data analytics, algorithmic problem solving.
  • Should poses a sound knowledge in R & D (Build from Scratch).
  • Hands on Experience working components like- DL, Transform model, LLM, NLP, Computer Vision etc.
  • Hands on experience in implementing Deep Learning technique.
  • Hands on Experience of Natural Language Processing (NLP) techniques.
  • Hands-on experience in 
    OCR technology.
  • Inclination towards Mathematics / Statistics.
  • Nice to have MS Excel skill, Reporting.
  • Experience in object-oriented programming.
  • Hands on Experience of Python or R.
  • Good Knowledge on Cloud Technology (Azure cloud platform).

Requirements:

  • 5-9 years of experience in a data science or analytics role, with a proven track record of leveraging analytics to drive significant business impact.
  • Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders.
  • Strong knowledge of machine learning techniques (e.g., classification, clustering, regression), and experience applying them to real-world problems.
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Experience with cloud platforms (e.g., Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.

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