Data Scientist

Role

Key Accountabilities & Responsibilities

• Support the Data Science team with the development of advanced analytics/machine learning/artificial intelligence initiatives
• Analyzing large and complex datasets to uncover trends and insights.
• Supporting the development of predictive models and machine learning workflows.
• Performing exploratory data analysis to guide product and business decisions.
• Collaborating with cross-functional teams, including product, marketing, and engineering.
• Assisting with the design and maintenance of data pipelines.
• Clearly documenting and communicating analytical findings to technical and non-technical stakeholders.

Basic Qualifications:

• Qualificiation in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
• Operational understanding of machine learning principles and statistical modeling.
• Experience with SQL for data querying.
• Strong communication skills and a collaborative mindset.

Preferred Qualifications

• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Familiarity with data visualization tools like Tableau, Power BI, or matplotlib.
• Participation in personal data science projects or online competitions (e.g., Kaggle).
• Understanding of version control systems like Git.

Kindly, share the following details :

1. Updated CV

2. Relevant Skills

3. Total Experience

4. Current Company

5. Current CTC

6. Expected CTC

7. Notice Period

8. Current Location

9. Preferred Location