Description :

Ray Business Technologies, a CMMI Level 3 and ISO 27001:2022 certified IT solutions company, brings over 16 years of global expertise in delivering innovative and tailored digital solutions.

With a presence in the USA, Canada, Australia, the Philippines, and India, the company specializes in AI, Data Analytics, CRM, ERP, CMS, Cloud, and Custom Development.

Their offerings include cutting-edge technologies like Artificial Intelligence, Machine Learning, and Business Intelligence services such as Power BI and Cognos.

Ray Business Technologies has established a proven track record for driving business growth and embracing technological innovation to cater to diverse business needs around the world.

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:

- 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.