Data Scientist

Summary

Join our team as a Data Scientist focusing on AI at Candidly to design, develop, and deploy AI-driven features that enhance our financial wellness platform.

Requirements

• 3-5 years of experience in a data science role, with a strong focus on NLP projects
• Strong programming skills in Python and proficiency with libraries such as TensorFlow, PyTorch, Scikit-Learn, NLTK, SpaCy, Transformers, and Hugging Face
• Expertise in NLP techniques such as BERT, GPT, Seq2Seq models, and transformer architectures
• Proficiency in designing and deploying NLP pipelines for named entity recognition, text classification, and text generation
• Expertise in designing and deploying machine learning models for production
• Familiarity with cloud platforms (AWS) and tools for model deployment and orchestration
• Experience with SQL and data visualization tools is a plus
• A love of experimenting and working with new tools and technologies
• Strong communication skills and ability to explain complex concepts to non-technical stakeholders
• High adaptability and comfort working in a dynamic, fast-paced startup environment
• Proactive, with a passion for building impactful solutions that address real-world challenges

Responsibilities

• Design and build machine learning models to support new product features, including AI-powered guidance, personalized product experience
• Develop and deploy NLP-based models to extract insights from user interactions, and create intelligent financial guidance
• Text Classification & Sentiment Analysis: Develop models to classify user queries, tag content, and determine sentiment in user interactions to inform product enhancements
• Named Entity Recognition (NER): Build and train models to extract and identify specific entities from text
• Topic Modeling & Content Recommendation: Implement topic modeling techniques (e.g., LDA, BERTopic) to automatically categorize user inquiries and generate personalized content or advice
• Intent Recognition: Design and deploy models to accurately identify user intents from text or voice input, enabling more intuitive user interactions and tailored advice delivery
• Collaborate with data engineering teams to define data needs, build ETL pipelines, and deploy machine learning models in production environments
• Conduct rigorous testing, optimization, and continuous evaluation of deployed models to ensure they deliver impactful and reliable results
• Stay on the cutting edge of AI/ML advancements and evaluate new techniques for application within the Candidly platform
• Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features
• Present findings and insights in a compelling way to both technical and non-technical audiences, contributing to strategic decision-making

Preferred Qualifications

• Experience in FinTech, financial services, or consumer lending domains
• Proven track record of developing AI/ML solutions focused on user engagement or personalized recommendations
• Hands-on experience with conversational AI, reinforcement learning, or advanced NLP techniques