Data Scientist - Predictive Modeling (4-7 yrs)

Data Scientist

Experience Required : 4 7 Years

Location : Bangalore (Hybrid)

Notice Period : Immediate to 30 Days

Job Description :

Are you passionate about solving real-world problems using data? Join our team and work on exciting end-to-end data science projects that empower financial institutions with actionable insights.

Role & Responsibilities :

- 4-7 years of relevant work experience in the Data Science/Analytics domain

- Work with the data scientists team, and data engineers.

- Take ownership of end-to-end data science projects, including problem formulation, data exploration, feature engineering, model development, validation, and deployment, ensuring high-quality deliverables that meet project objectives.

- Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques.

- Collaborate with data architects and software engineers to enable deployment of sciences and technologies that will scale across the companys ecosystem.

- Responsible for the conception, planning, and prioritizing of data projects

- Provide support to inexperienced analysts with high-level expertise in an open-source language (e.g., R, Python, etc.)

- Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

- Utilize data visualization tools (Power BI) to deliver insights to stakeholders.

Competencies and Technical Skills :

- Degree holder in computer science or related discipline

- Proficiency in SQL and database querying for data extraction and manipulation.

- Proficiency in programming languages such as Python/R, and experience with data manipulation and analysis libraries (e.g., NumPy, pandas, scikit-learn).

- Familiarity with data visualization tools (e.g., Tableau, Power BI) and proficiency in presenting complex data visually.

- Solid understanding of experimental design, A/B testing, and statistical hypothesis testing.

- Proven hands-on experience with machine learning algorithms and parameter tuning, including Ensemble methods (Random Forest, XGBoost), Logistic Regression, Support Vector Machines (SVM), and clustering techniques (e.g., K-Means, DBSCAN).

- Familiarity with Generative AI concepts and AI Agents is a plus.

- Excellent verbal and written communication skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders

- Experience with Snowflake is not necessary but preferable.