Lead Data Scientist

Harnham; Pittsburgh (Allegheny County); On-site; USD 120,000 - 150,000; Full time

Job summary

A high-growth technology group in the United States is looking for a Senior AI Solutions Architect to lead the development of sophisticated simulation and optimisation systems. The role involves guiding the design and execution of large-scale AI initiatives and mentoring a talented team. Suitable candidates should have over 7 years of experience in data science, particularly in simulation methodologies and advanced mathematical techniques. This position offers an opportunity to work on impactful decision frameworks and innovative AI solutions.

Qualifications

• Minimum of 7 years experience in data science or complex modelling.
• Expertise in simulation methodologies such as Monte-Carlo.
• Strong knowledge in stochastic and Bayesian optimisation.

Responsibilities

• Lead architecture and deployment of simulation and optimisation platforms.
• Develop scalable frameworks for capability modelling.
• Oversee large-scale AI projects from initiation to production.

Skills

Applied Data Science

Simulation Methodologies

Stochastic Optimisation

Advanced Mathematical Modelling

Job description

A discreet, high‑growth technology group is expanding its advanced analytics and AI leadership capabilities. The organisation operates in a deeply complex environment where modelling, optimisation, and intelligent decision systems play a central role. They are investing heavily in next‑generation platforms that blend predictive modelling, simulation, and large‑scale automation to influence critical strategic choices.

THE ROLE

This is a senior technical and leadership role responsible for architecting sophisticated simulation, optimisation, and decision‑intelligence systems. You will guide the vision, design, and delivery of large‑scale AI solutions, combining hands‑on expertise with strategic leadership.

Your remit spans the development of system‑level simulations, optimisation engines, and complex modelling frameworks that support high‑impact decision workflows. You will define long‑range technical direction, lead major AI initiatives end‑to‑end, and mentor a highly skilled team of Data Scientists and AI Engineers.

This is a position for someone who thrives in ambiguity, enjoys solving multi‑variable, system‑level challenges, and brings strong conceptual and practical knowledge of advanced modelling.

KEY RESPONSIBILITIES

• Lead the architecture, design, and deployment of advanced simulation and optimisation platforms
• Build multi‑modal modelling systems incorporating predictive analytics, stochastic simulation, and strategic optimisation workflows
• Define the long‑term technical roadmap for modelling and decision‑intelligence initiatives
• Oversee large‑scale AI projects from initial scoping through to production launch
• Act as the senior technical authority on simulation, optimisation, and model strategy
• Develop scalable frameworks that support complex capability modelling and scenario analysis
• Lead the development of platform components that integrate simulation, optimisation, predictive modelling, and decision logic
• Mentor senior technical team members, raising the standard across modelling, experimentation, and delivery
• Establish modelling best practices, evaluation standards, and robust experimentation workflows
• Partner with cross‑functional teams to convert abstract, open‑ended challenges into concrete technical solutions
• Bring emerging research and methodologies (simulation techniques, optimisation methods, advanced model reasoning, etc.) into production systems
• Communicate modelling strategy, risk, and value clearly to both technical and non‑technical stakeholders

WHAT YOU BRING

• 7+ years of applied Data Science or similar experience in complex modelling domains
• Deep experience with simulation methodologies (e.g. discrete‑event, agent‑based, Monte‑Carlo, or similar approaches)
• Strong understanding of stochastic optimisation, Bayesian optimisation, and advanced mathematical modelling techniques