Data Scientist II

About Trellance: Trellance is a leading provider of data analytics, business intelligence solutions, professional services, and consulting for credit unions. Founded in 1989, Trellance supports over 1,500 organizations across the United States, helping them uncover actionable insights, improve member experiences, and achieve portfolio growth. Our headquarters is in Tampa, FL. Job Summary: We are seeking a detail-oriented Senior Data Scientist to join our team. The Senior Data Scientist will be responsible for collecting, analyzing, interpreting, and presenting quantitative data to help us deliver exceptional data-driven insights and solutions to our clients. The ideal candidate will have experience in the BFSI industry, strong statistical knowledge, predictive modeling skills, experience with statistical software, and the ability to translate complex data into actionable insights. Key Responsibilities: Machine Learning and Model Optimization Design and implement machine learning models, including supervised and unsupervised algorithms, neural networks, and ensemble methods. Train, validate, and evaluate model performance using appropriate metrics and techniques. Optimize models for scalability, efficiency, and interpretability. Statistical Insights and Communication Interpret statistical findings to provide insights into business performance, market trends, and consumer behavior. Communicate complex statistical concepts and findings to clients in a clear and concise manner. Collaboration and Continuous Improvement Collaborate with cross-functional teams to develop solutions that meet client needs. Stay updated on new statistical methodologies, tools, and technologies. Documentation and Knowledge Management Develop and maintain documentation of statistical methods, analyses, and data sources. Qualifications: Bachelors Degree or Masters degree in Statistics, Mathematics, Data Science, Engineering, or a related field. 3 to 5 years of experience in a statistician, data scientist, or similar role. Good to have experience in the BFSI industry. Experience in statistical analysis , segmentation, hypothesis testing, forecasting, predictive modeling, and machine learning. Serve as a subject matter expert on statistical methodologies and techniques. Good Knowledge of software packages, such as R or Python . Basic knowledge of any visualization tool such as Power BI and Tableau. Experience with machine learning libraries/frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex problems. Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences. Ability to work independently and in a team environment. Good to have experience in deep learning and AI.