Quality Choice Solutions · 17 hours ago
Data Scientist (W2 Only)
Quality Choice Solutions is seeking a Data Scientist to join their US Businesses Data Science Team. The role involves partnering with various professionals to build GenAI and ML models aimed at improving advisor experience and increasing sales revenue.
Staffing & Recruiting
Responsibilities
Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience
Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales
Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership
Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement
Manage external vendors in the execution of parts of the data science development process as needed
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential’s AI/ML platform
Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day
Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies
Qualification
Required
Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs
Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions
Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products
Ability to influence business stakeholders and to drive adoption of AI/ML solutions
Experience with agile development methodologies, Test-Driven Development (TDD), and product management
Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
Excellent problem solving, communication and collaboration skills, and stakeholder management
Familiarity with Python, SQL, AWS, and JIRA
Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts
Significant experience and/or deep expertise with several of the following: Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms
Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models
Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude)
Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products
Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python
Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc
Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends
Programming Languages: Python and SQL
Company
Quality Choice Solutions
Quality Choice Solutions (QCS) is a specialized staffing partner built by professionals who’ve led from the inside.
Funding
Current Stage
Early StageCompany data provided by crunchbase