Data Scientist • AI Practitioner • Leader

Saeed Omidi, Turning Complex Data & AI into Measurable Business Impact

I’m Saeed Omidi, PhD—a Data Science and AI Leader with 12+ years of experience bridging deep scientific rigor with fast-paced enterprise technology. From scaling global teams to architecting Agentic AI workflows, I help organizations navigate complex data landscape to deliver top-line growth.

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Portrait of Saeed Omidi

Background

My background is rooted in scientific rigor, holding a PhD in Bioinformatics from the University of Basel and a degree in software engineering. Early in my career, I developed diagnostic machine learning models that powered over 50,000 cancer diagnoses worldwide and secured CE/IVD and FDA approvals. This taught me that complex algorithms are only as valuable as the real-world impact and regulatory compliance built around them.

Over the past decade, I translated that foundation into executive AI leadership across fast-paced commercial sectors. Managing global data teams at Electronic Arts and Eliya, I optimized over $650M in marketing spend through custom modeling, scaled systems delivering hundreds of millions of weekly predictive scores, and cut customer service handling times by 40% using agentic workflows.

Today, I partner with executive leadership to guide modern enterprise AI transformations. By building governed operating models, autonomous agentic workflows, and practical business automations, I bridge the gap between complex technical execution and C-suite strategy to turn ambitious technology investments into measurable business value.

Core Capabilities

  • Predictive modeling, causal inference, and statistical analysis

  • Agentic AI & Automations for business impact

  • Leading global data science and analytics teams

  • VP and C-level stakeholders engagement and advocacy

  • Data strategy, governance, and operating model design

  • AI Transformation and enterprise adoption

Experience Snapshot

  • Managing Director, Data Science & AI

    ELIYA • 2022 - Present

    Helping global retail brands optimize $150M+ in marketing spend while delivering autonomous AI automation for Swiss businesses.

    • $150M+ Budget Optimization: ML-driven Media Mix Modeling for major US & EU retail brands.
    • Agentic AI & Automations: Business process automation for Swiss Finance, Supply Chain, and Real Estate firms.
    • LLM Visibility (GEO/AEO): AI-focused digital marketing strategies to dominate major LLM platforms..

  • Senior Manager / Senior Data Scientist

    Electronic Arts (EA) • 2020 - 2026

    Led global data science teams and enterprise AI transformation at EA, architecting predictive ML and in-house MMM systems that optimized $500M+ in marketing spend, cut customer support handling time by 40%, and unlocked $10M+ in annual revenue opportunities.

    • Global Team Leadership: Managed 6 AI engineers across 5 countries while leading 10–15 parallel projects.
    • $500M+ Spend Optimization: Built in-house MMM solution for top franchises (FIFA/FC, The Sims, Battlefield).
    • Predictive ML at Scale: Engineered weekly ML pipelines scoring 100M+ users for hyper-personalized CRM.
    • Agentic AI & Productivity: Implemented customer service AI automations cutting handling time by 40%.

  • Senior Data Scientist & Bioinformatics Expert

    Sophia Genetics • 2016 - 2019

    Developed life-saving clinical ML diagnostic products that enabled 50,000+ cancer diagnoses globally, generated $7M+ in profit, and secured CE/IVD and FDA regulatory approvals through cross-functional healthcare collaboration.

    • 5 Diagnostic Products: Built RNA-seq & Gene Fusion ML tools powering 50,000+ global cancer diagnoses.
    • $7M+ Profit Generated: Directly drove commercial revenue from product conception to full production.
    • FDA & CE/IVD Approvals: Led regulatory compliance in partnership with quality teams, doctors, and lab scientists.

  • Research Scientist

    EPFL & University of Basel • 2014 - 2016

    Developed Bayesian statistical models for high-throughput genomic sequencing and single-cell imaging data at EPFL, while modeling human circadian rhythms via wearable technology and mentoring PhD and Master students.

    • Bayesian Statistical Modeling: Analyzed large-scale Next-Gen Sequencing (Illumina) and single-cell microscopy data.
    • Peer-Reviewed Publications: Authored 5+ papers in top-tier journals on bioinformatics and computational biology.
    • Wearable Data Analytics: Modeled circadian clocks and sleep/wake cycles using continuous wearable data.
    • Academic Mentorship: Trained and supervised PhD and Master students in quantitative methods.

Leadership Principles

  • Build teams with high trust, high standards, and clear ownership.
  • Prioritize problems where data can drive practical impact, not just model complexity.
  • Communicate technical tradeoffs in language decision-makers can act on.

Contact

I am always open to thoughtful conversations about applied science, leadership, and data-driven product strategy.

Email: saeed.omidi@gmail.com