Data Scientist
1 week ago
Key Responsibilities:
- Data Preprocessing: Clean, transform, and preprocess structured and unstructured data to prepare it for analysis.
- Predictive Modeling: Design, develop, and deploy predictive models using AI, ML, and Deep Learning algorithms to drive business outcomes.
- Data Analysis: Identify key features, patterns, trends, and insights from complex data sets to inform business decisions.
- Collaboration: Work closely with cross-functional project teams to support multiple project tracks and provide data-driven insights.
- Domain Expertise: Experience working in the Banking or Finance domain is highly desirable.
Required Skills:
Technical Skills:
Hands-on experience with Statistical Modeling, Machine Learning, and Deep Learning techniques.
- Knowledge of developing Propensity Models and Customer Segmentation.
- Proficiency in Python, R, and SQL programming languages.
- Familiarity with TensorFlow and PyTorch for AI model development.
Experience with data visualization tools like Power BI or Tableau is a plus.
Soft Skills:
Excellent communication and interpersonal skills to effectively interact with stakeholders.
- Ability to work in a fast-paced and collaborative environment.
- Team player with mutual respect for team members, stakeholders, and vendors.
Experience and Education:
- Experience: 1-5 years of professional experience in data science and business analytics.
Education: Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Engineering, or a related field
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