Lead Data Scientist: $105/hr

Job Description

Job Description

One of Infonet's premier clients has an opening for a Lead Data Scientist.

RATE: $105/hr 1099/Corp-to-Corp or $97/hr-W2

JOB LENGTH: 12 Months

TERMS : Contract

SCOPE OF WORK

• Lead project teams through end-to-end data science delivery, ensuring models are technically sound, production-ready, and tied to adoption
• Data Science ownership of delivered business value: framing the right problem, building and validating ML/optimization/GenAI solutions, partnering on deployment, monitoring performance, and driving adoption in production
• Statistical and machine learning depth, combined with practical business judgment, strong stakeholder partnership, and the ability to convert analytical work into measurable outcomes rather than isolated prototypes
• Frame high-impact business problems for project-level data science leadership into measurable data science opportunities with clear decision owners, baseline metrics, adoption paths, and expected value tied to project-level improvements in revenue, demand planning, digital conversion, operational efficiency, or customer experience
• Develop forecasting, propensity, classification, and ranking models using Python, scikit-learn, XGBoost, LightGBM, CatBoost, and Databricks feature workflows to support production decisions
• Build recommendation, simulation, and optimization solutions using MILP, heuristics, dynamic programming, or scenario modeling to improve operational and commercial decisions
• Design GenAI workflows using GPT-class models, Azure AI Foundry, RAG, embeddings, prompt engineering, and evaluation routines where natural-language or agentic capabilities improve business productivity
• Design and evaluate A/B tests, quasi-experiments, causal analyses, bootstrap methods, and non-parametric tests to determine whether model or process changes create measurable lift
• Apply SHAP, sensitivity analysis, model diagnostics, error analysis, and stakeholder-ready explanations so users understand model behavior, limits, and decision implications
• Partner with AI Engineering to deploy models and analytical applications through Databricks, Azure ML, MLflow, APIs, or containerized services while retaining accountability for business value and model behavior
• Monitor accuracy, drift, bias, adoption, latency, cost, and business KPIs; trigger retraining, recalibration, or process changes when performance or value realization degrades
• Partner with business, product, operations, AI Engineering, and data engineering teams to convert model outputs into decisions, workflows, incentives, and measurable adoption
• Explain model logic, uncertainty, tradeoffs, risks, and recommended decisions in business terms
• Convert model outputs into decisions, workflows, incentives, and measurable adoption

REQUIRED SKILLS / EXPERIENCE

• Demonstrated experience appropriate to lead scope delivering ML, optimization, experimentation, or GenAI solutions that moved beyond analysis into production use or business decisioning
• Hands-on experience with Python, scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch or TensorFlow where appropriate, and model evaluation workflows for production-grade use cases
• Experience with MILP solvers, simulation, scenario planning, dynamic programming, heuristics, or prescriptive analytics methods applied to real business decisions
• Experience with Azure AI Foundry, GPT-class models, RAG, embeddings, prompt engineering, evaluation, and safe use of GenAI for decision support or workflow automation
• Advanced use of Databricks, Spark, SQL, feature pipelines, data quality checks, and reproducible analytical workflows for large-scale data science delivery
• Experience with MLflow, Azure ML, model registries, CI/CD, monitoring, retraining, and production handoff practices that keep models reliable after launch
• Strong Python engineering practices, Git workflows, testing, packaging, notebooks-to-production discipline, APIs, and collaboration with AI Engineering for deployment readiness

PREFERRED EDUCATION

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Engineering, Economics, or a related quantitative field, or equivalent practical experience

TRAVEL REQUIREMENT

• Some – occasionally required to walk to the dock and ascend/descend the vessel
• This position may require regular domestic or international travel

 

** No 3rd party vendors ** Unable to sponsor H1-B visas **

Infonet is an Information Technology staffing firm based in South Florida. The company was founded over 20 years ago by IT Hiring Managers and Software/Hardware Engineers.
What distinguishes Infonet is our passion to serve you. We take your job search seriously, not ourselves.

Company Description

Infonet is an Information Technology staffing firm based in South Florida. The company was founded over 20 years ago by IT Hiring Managers and Software/Hardware Engineers.\r\nWhat distinguishes Infonet is our passion to serve you. We take your job search seriously, not ourselves.