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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Spectraforce - **Location:** Newark, NJ, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Data Visualization, Database Schema, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Software Engineering, SQL Databases, Unstructured Data, Test-Driven Development (TDD), Large Language Models, Generative AI, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents, Text Analysis, Programming Languages - **Published:** August 13, 2026 - **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=6c01243d-a1d7-4d8b-95c4-0e2e9dd3bc93&OrgId=1&UserId=313 ## About the Role * Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. * 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. * 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. * Ability to influence business stakeholders and to drive adoption of AI/ML solutions. * Experience with agile development methodologies and Test-Driven Development (TDD). * Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. * Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges. * Excellent problem solving, communication and collaboration skills. * Experience in using Cloud based AI Platforms like Bedrock and Sagemaker AI. Advanced experience and/or expertise with several of the following: * Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, semantic data models, and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python. * Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, SQL (relational), Unstructured (NoSQL), Graph/ontology (Graph DB), semantic data models. * Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends. * Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems. * Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models (supervised models including regression and classification. Unsupervised models including clustering/segmentation and anomaly detection). * Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs, and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB, LangFuse, AgentCore, Agents, and their application in Retirement Strategies area. * Model Deployment: Understanding of model development life cycle, A/B testing, CI/CD pipelines, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products. * Programming Languages: Python, SQL ## Description As a Lead, Data Scientist you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build AI & Machine Learning products. You will implement Machine Learning, AI, and agentic capabilities that will deliver stability, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day: * Provide deep technical leadership to a portfolio of high impact data science initiatives. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove technical impediments. * Manage team members in data analysis, model development (traditional machine learning & statistical models) GenAI & agent development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development. * Write production grade code and partner with machine learning engineers to push model code into production including traditional machine learning, statistical models, GenAI and agentic solutions. * Experience with engineering of Agentic AI systems, fine-tuning technique (ex: LoRA), deployment of LLMs, RAG, Agentic RAG, Strands, Claude Agents SDK, Agents SDK and Agentic AI concepts. * 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. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day * Use programming languages including but not limited to Python, SQL. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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