Data Scientist

Title:- Data Scientist

Budget:- 20 LPA

Work Mode:- Onsite

Primary Skills:- Sql, Python, Data Analysis

Qualification:- Any

Roles & Responsibilities:-

1. Acquiring, cleaning, and preprocessing raw data for analysis.

2. Utilizing statistical methods and tools for analyzing and interpreting complex datasets.

3. Developing and implementing machine learning models for predictive analysis.

4. Creating visualizations to effectively communicate insights to both technical and non-technical stakeholders.

5. Collaborating with cross-functional teams, including data engineers, business analysts, and domain experts.

6.Evaluating and optimizing the performance of machine learning models for accuracy and efficiency.

7. Identifying patterns and trends within data to inform business decision-making.

8. Staying updated on the latest advancements in data science, machine learning, and relevant technologies.

Requirement:

1. Experience with- modeling- techniques such as Linear Regression, clustering, and classification techniques.

2.- Must have a passion for- data, structured or unstructured.

- 0.6 - 5 years of hands-on experience with- Python- and SQL is a must.

3. Should have sound experience in data mining, data analysis and machine learning techniques.

4. Excellent critical thinking, verbal and written communications skills.

5. Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

6. Good presentation skills.