Resource - Data Scientist

The Ideal candidate will collect, process, and analyze large data sets to identify trends, patterns, and correlations, and develop predictive models to inform business decisions. Utilizing expertise in data visualization tools, programming languages, and cloud technologies, the Data Scientist will design and implement data-driven solutions, collaborate with stakeholders, and provide actionable recommendations to drive business growth.

Responsibilities:

- Analyze data for trends and patterns, and interpret data with clear objectives in mind.
- Research and devise innovative statistical models for data analysis.
- Process, cleanse, and validate the integrity of data to be used for analysis.
- Create data models and insightful dashboards using Power BI or other data visualization tools.
- Write SQL queries and code in programming languages like Python.
- Apply data engineering concepts, including data storage and data pipelines.
- Utilize latest tools and technologies in the Google Cloud Stack and Microsoft Azure Stack.
- Approach business problems with a logical mindset, structuring and breaking down solutions.
- Manage and collaborate with stakeholders effectively.

Qualifications:

- Background in Engineering, Computer Science, Data Science or IT (MCA/

B.Tech /B.E)
- Any Industry.
- 5 to 7 Years of experience
- Prefer - Microsoft/ Google Certifications
- Strong communication and analytical skills