Lead Data Scientist

Westlake TX / Durham NC / Burlington MA (Day One Onsite, Hybrid)

About The Role

• We are looking for a Lead Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems.
• It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources.
• We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes.
• The Value You Deliver As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems.
• You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.

Required Skills

• Master's or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline
• 10+ years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields
• Experience in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
• Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
• Experience in formulating and solving optimization problems
• Knowledge of model evaluation, tuning, performance measurement, deployment and solution scalability
• Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams

Must Have Skills

• Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
• Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
• Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance
• Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworks

Nice to Have skills

• Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
• Experience working with knowledge graph, graph-based learning approaches
• Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)

Key Skills

• Python, SQL, MLOps, and modern AI/ML development frameworks, AI/ML lifecycle, GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks

Application Deadline: Applications are accepted on an ongoing basis until the position is filled.

Equal Employment Opportunity

NLB Services is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, sexual orientation and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

Reasonable Accommodation

NLB Services provides reasonable accommodations during the recruitment process as required by law. Applicants requiring an accommodation due to a disability, pregnancy-related limitation, or sincerely held religious belief, practice or observance may contact their recruiter or email [email protected].

Benefits

Based on employment status and assignment, eligible employees may receive benefits, such as Medical, Dental and Vision Insurance, Health Insurance, Disability Insurance, etc. Eligibility and benefit terms vary by assignment.

Other Important Terms

• Applicants must be legally authorized to work in the United States.
• Any employment offer may be contingent upon job-related screening, employment eligibility verification and other requirements permitted by applicable law.
• Following a conditional offer of employment, candidates may be required to complete job-related background screening, which may include criminal history checks and/or drug testing, as applicable and permitted by federal, state, and local law.