Data analytics and AI Expert

Skills:

Artificial Intelligence (AI), data analytics, R (Programming Language), Python (Programming Language), Cloud, Algorithms, Microsoft SQL Server,.

Company Overview.

Riverhouse Technologies is a leading IT company that empowers clients with cutting-edge technology solutions.

Our vision is to provide lucrative opportunities to software developers in India and improve the quality of software development.

We prioritize individual ambitions and measure our company's growth by the collective growth of our employees.

With 11-50 employees, we aim to be the preferred IT workplace in Central India and the first choice of clients worldwide.

Job Overview.
We are seeking a highly skilled Sr.

Data Analytics And AI Expert to join our team at Riverhouse Technologies.

As a Sr.

Data Analytics And AI Expert, you will be responsible for leveraging data analytics and artificial intelligence techniques to drive insights and make data-driven decisions.

This is a mid-level position requiring 4 to 6 years of experience.

The job is based in Bhilai, Chhattisgarh, India, and is a full-time role.

Qualifications And Skills.

4 to 6 years of experience in data analytics and AI.

Strong knowledge of artificial intelligence techniques and algorithms.

Proficiency in data manipulation, analysis, and visualization using tools such as Python, R, or SQL.

Experience with machine learning frameworks and libraries.

Ability to interpret and communicate complex data findings to non-technical stakeholders.

Excellent problem-solving and critical thinking skills.

Strong attention to detail and ability to work with large data sets.

Self-motivated and able to work independently as well as in a team.

Roles And Responsibilities
Leverage advanced data analytics and machine learning techniques to analyze complex data sets and generate actionable insights.

Develop and implement AI models and algorithms to solve business problems and optimize processes.

Collaborate with cross-functional teams to design and execute data analytics projects and experiments.

Present findings and recommendations to stakeholders in a clear and concise manner.

Stay updated with the latest trends and advancements in data analytics and AI.

Contribute to the development of data-driven strategies and initiatives.

Ensure data integrity and privacy by following best practices and security protocols.

Provide guidance and mentorship to junior data analytics team members.