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Applied AI Research Scientist at Value Driven Solutions, Remote

In this pivotal Contract Applied AI Research Scientist role at Value Driven Solutions, you will spearhead the rapid prototyping and validation of state-of-the-art machine learning innovations to drive transformative outcomes across diverse private equity portfolio companies in consumer products, industrials, healthcare, and SaaS verticals. With up to 75% travel to portco sites, you’ll collaborate intimately with operating teams to diagnose AI gaps—such as inefficient supply chains or untapped predictive analytics—and translate bleeding-edge research (e.g., from arXiv papers on reinforcement learning or multimodal models) into deployable prototypes that achieve production readiness in under 9 months, targeting $10M+ in annualized value creation through metrics like cost savings, market share gains, or patient outcome improvements.

Your work will encompass leading technical deep dives into portco datasets (e.g., electronic health records, sensor telemetry, or transaction logs), designing experiments with rigorous statistical validation (hypothesis testing, cross-validation), and architecting hybrid models that integrate with legacy infrastructure while scaling via containerization (Docker/Kubernetes). You’ll report progress to PE investment committees via data-driven narratives, benchmarking against industry standards (e.g., Gartner AI maturity models), and iterating based on real-world feedback to ensure solutions are robust, interpretable, and compliant with regulatory frameworks like HIPAA or ISO 27001. This role is ideal for PhD-level innovators who excel at bridging academia and industry, having previously accelerated research-to-production cycles in consulting or tech environments, resulting in patented algorithms or peer-reviewed publications with direct business applications.

Value Driven Solutions provides unparalleled access to a ecosystem of portcos, enabling you to benchmark innovations across sectors and contribute to our proprietary Agentic AI playbook. Expect to thrive in an autonomous yet collaborative setting, where you’ll influence strategic roadmaps and mentor emerging talent, all while enjoying remote flexibility between high-impact on-site sprints.

Key Responsibilities:

• Conduct AI opportunity audits and craft 3-year research agendas aligned with portco KPIs (e.g., EBITDA margins, churn reduction).
• Prototype advanced techniques like transfer learning, graph neural networks, or federated AI, validating via simulations and pilot deployments.
• Collaborate with domain experts to curate high-quality datasets, addressing imbalances and ensuring ethical sourcing.
• Author whitepapers and case studies for internal VDS knowledge base, plus executive briefings on ROI projections (e.g., Monte Carlo simulations).
• Evaluate emerging tools (e.g., Hugging Face libraries) and recommend integrations to enhance portco competitiveness.

Required Qualifications:

• PhD in AI/ML, Computer Science, or equivalent (Master’s with exceptional publications considered).
• 4+ years applied research experience, with proven <9-month paper-to-production timelines and >$5M impact.
• Expertise in PyTorch/JAX, advanced stats (Bayesian methods), and big data tools (Spark, Dask).
• Experience in regulated industries (healthcare/industrials) with focus on explainable AI and risk modeling.
• Excellent stakeholder management for cross-silo alignment and change management.

Preferred Experience:

• Contributions to open-source ML repos or conferences (NeurIPS, ICML).
• Hands-on with digital twins or real-time analytics in Industry 4.0 contexts.
• Background in system integration firms, delivering GAMP-compliant solutions.

To apply: Send CV + short note on the specific impact you’ve driven with AI research in private-equity or industrial settings. Include role title in subject line and your availability.

Leadership Solutions – Value Driven Solutions Accelerating Agentic AI adoption in private equity portfolios