Hybrid Data Scientist

at Candescent

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Keras, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, United States

About the role

• Data Scientist in AI product organization at Candescent transforming digital banking. Engaging in data analysis and product strategy to deliver innovative solutions for financial institutions.

Responsibilities

• Conduct data set collection, data cleansing, and data analysis with statistical and AI/ML methods to understand product usage, journeys, funnels and product health, and identify product gaps and areas of improvement
• Perform user behavioral analysis, discover underlying user profiles and attributes, learn foundational user embeddings, detect user personas, apply effective clustering for user segmentation analysis, and predict user’s next possible digital banking actions
• Plan A/B and multi-variate statistical testing, define clear and testable hypotheses with measurable success metrics, design randomized and unbiased sampling strategies, monitor and collect test results, and apply statistical testing to draw conclusions
• Utilize statistical and AI/ML techniques to conduct comprehensive data analysis during product acceptance
• Define the key performance metrics with product management, ensure the KPIs are instrumented in products, collect data from different channels and analytical platforms, perform data analysis and develop dashboards to monitor the post-launch performance
• Collaborate with account and relationship team to apply the data-driven approach and methodology to the product integration and product launch with financial institutions
• Research market and technology trends, analyze what product features can be developed with the latest statistical models, AI/ML models, agentic AI systems, recommender systems, and other deep learning algorithms
• Leverage advanced analytical techniques, such as anomaly detection, decision trees, random forest, neural networks, graph network, supervised and unsupervised AI/ML models, to spot unusual behaviors or transactions
• Evaluate product performance from different vendors and partners in data, AI, risk and fraud solutions
• Generate key metrics, charts, graphs, reports, dashboards and drill-downs to communicate the key product message effectively to internal and external stakeholders
• Investigate the root cause of data integrity issues, identify missing data, duplicate data, inconsistent data, and other data errors.

Requirements

• Bachelor’s Degree required, preferably in data science, statistics, math, computer science, business analytics, software engineering or equivalent fields; master’s degree preferred
• Data analytics skills and experience in SQL, Python, pandas, databases, data warehousing, data lake, and cloud data platforms
• Experience in statistical data analysis and modeling: regression, hypothesis testing, time-series analysis, PCA, sampling, and imbalanced data analysis
• Knowledge and experience with machine learning methods: logistic regression, decision trees, random forest, gradient boosting, anomaly detection, clustering, error analysis, regularization, supervised and unsupervised learning, and precision and recall tuning
• Familiar with AI and Gen AI models and systems: neural network, deep learning, NLP, LLMs, multi-modal models, recommender systems, agentic AI, fine-tuning, and reinforcement learning
• Experience with Scikit-learn, TensorFlow, Keras, Pytorch, numpy and other popular AI/ML tools and packages
• Advanced skills in data visualization, dashboard development, and data storytelling
• Strong communication and presentation skills
• Passion for detailed data analysis and natural curiosity to stay current on the latest developments in statistics, machine learning, AI and Gen AI.

Benefits

• Candescent is an equal opportunity employer.