Description :

Ray Business Technologies, a CMMI Level 3 and ISO 27001:2022 certified IT solutions provider, has over 16 years of experience driving global technological innovation.

Operating in the USA, Canada, Australia, Philippines, and India, the company delivers tailor-made solutions in areas including AI, ERP, CRM, Cloud, and BI services.

With a skilled team of experts, Ray Business Technologies offers services like custom development, data analytics, and digital experience platforms to empower businesses.

Committed to quality and excellence, the company is known for its proven track record in helping organizations achieve growth and operational efficiency.

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 likeDL, 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 :

- 4-8 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.