Lead Data Scientist - Hybrid, Newark (GenAI/ML)

Creative Solutions Services, LLC

Newark (NJ)

Hybrid

USD 103,000 - 117,000

Full time

14 days+

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Job summary

Creative Solutions Services, LLC in Newark, NJ seeks a Lead, Data Scientist to partner with ML Engineers, Data Engineers and Analysts to build AI/ML products. You will implement AI capabilities to deliver stability, scalability, and integration with other products and services.

The role requires advanced degree, strong leadership, mentoring, agile practices, and cloud experience with Bedrock and SageMaker. You will write production-grade code, drive model deployment, and coach the team toward

Qualifications

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.

Responsibilities

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.