Data Scientist II

Job Title: Data Scientist - II

Department: Rise Analytics

Reporting to: Manager

Company Detail

CU Rise Analytics Pvt. Ltd. is a wholly owned subsidiary of Trellance, Inc. CU Rise Analytics is an offshore development centre of Trellance Inc., working collaboratively to offer comprehensive solutions for data analytics, technology and talent to allow our credit union clients to provide high quality service to their members and remain competitive. Our core expertise lies in data science and technology, encompassing data analytics, predictive modelling, business intelligence, and technology services.

Trellance Cooperative Holdings, Inc. is a credit union cooperative and leading technology partner for credit unions. Its companies – consisting of Rise Analytics, ProBridge, Optiri and CUDX – provide innovative technology solutions for credit unions to increase efficiency, manage risk and improve the member experience. Trellance’s mission is to make sure credit unions have access to the tools and resources they need to grow, enhance member value and remain competitive in a rapidly evolving financial landscape.

Learn more at Trellance.com

Summary:
Seeking an experienced Data Scientist with 5 + years of experience in machine learning, statistical modeling, and advanced analytics to build scalable data-driven solutions.

Key Responsibilities:

• Develop and deploy machine learning models to solve business problems.
• Perform data analysis, feature engineering, and model evaluation.
• Apply and tune ML algorithms including Ensemble methods (Random Forest, XGBoost), Logistic Regression, SVM, and clustering techniques (K-Means, DBSCAN).
• Collaborate with cross-functional teams to deliver data-driven insights.
• 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.

Required Skills:

• 5 + years of hands-on experience in Data Science or Machine Learning.
• Strong knowledge of ML algorithms, model tuning, and evaluation.
• Proficiency in Python/SQL/Snowpark and ML libraries.
• Experience with large datasets and modern data platforms.
• Snowflake experience preferred but not mandatory.

Good to Have:

• Familiarity with Generative AI concepts and AI Agents.