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I am a Data Science Team Leader with a strong track record of designing, scaling, and delivering complex AI and data engineering initiatives across high-tech industries. I hold a PhD in Computer Science focused on Systems Biology and Bioinformatics, and I combine deep technical expertise with strategic leadership to turn research and data insights into measurable outcomes. I build robust data architectures and production-grade AI systems, mentor multidisciplinary teams, and translate scientific research into operational solutions. My work spans end-to-end data product delivery, MLOps/AI agent deployment, ROI-driven strategy, and stakeholder alignment across product, regulatory, and commercial domains.…I am a Data Science Team Leader with a strong track record of designing, scaling, and delivering complex AI and data engineering initiatives across high-tech industries. I hold a PhD in Computer Science focused on Systems Biology and Bioinformatics, and I combine deep technical expertise with strategic leadership to turn research and data insights into measurable outcomes. I build robust data architectures and production-grade AI systems, mentor multidisciplinary teams, and translate scientific research into operational solutions. My work spans end-to-end data product delivery, MLOps/AI agent deployment, ROI-driven strategy, and stakeholder alignment across product, regulatory, and commercial domains.

Mattia Petroni

Data Scientist, Data Engineer, AI Engineer, +2

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I am a Data Science Team Leader with a strong track record of designing, scaling, and delivering complex AI and data engineering initiatives across high-tech industries. I hold a PhD in Computer Science focused on Systems Biology and Bioinformatics, and I combine deep technical expertise with strategic leadership to turn research and data insights into measurable outcomes. I build robust data architectures and production-grade AI systems, mentor multidisciplinary teams, and translate scientific research into operational solutions. My work spans end-to-end data product delivery, MLOps/AI agent deployment, ROI-driven strategy, and stakeholder alignment across product, regulatory, and commercial domains.…I am a Data Science Team Leader with a strong track record of designing, scaling, and delivering complex AI and data engineering initiatives across high-tech industries. I hold a PhD in Computer Science focused on Systems Biology and Bioinformatics, and I combine deep technical expertise with strategic leadership to turn research and data insights into measurable outcomes. I build robust data architectures and production-grade AI systems, mentor multidisciplinary teams, and translate scientific research into operational solutions. My work spans end-to-end data product delivery, MLOps/AI agent deployment, ROI-driven strategy, and stakeholder alignment across product, regulatory, and commercial domains.

Available to hire

I am a Data Science Team Leader with a strong track record of designing, scaling, and delivering complex AI and data engineering initiatives across high-tech industries. I hold a PhD in Computer Science focused on Systems Biology and Bioinformatics, and I combine deep technical expertise with strategic leadership to turn research and data insights into measurable outcomes.

I build robust data architectures and production-grade AI systems, mentor multidisciplinary teams, and translate scientific research into operational solutions. My work spans end-to-end data product delivery, MLOps/AI agent deployment, ROI-driven strategy, and stakeholder alignment across product, regulatory, and commercial domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Italian

Fluent

English

Fluent

Croatian

Beginner

German

Beginner

Slovene

Fluent

Work Experience

Director of Data Science at Bragg Gaming

December 1, 2024 - Present

Built and scaled data science, AI, and data engineering as core strategic capabilities in a largely greenfield environment. Established an MLOps foundation ensuring scalability, regulatory compliance, and cost efficiency. Led prioritization based on measurable ROI through empirical evaluation (build vs buy). Remained hands-on by developing and deploying production forecasting and machine learning models impacting marketing performance, player retention, and revenue forecasting. Operated at both strategic and tactical levels, aligning initiatives across product, engineering, legal/regulatory, and finance while leading and mentoring the data science team and external partners to deliver compliant, business-critical data products (e.g., segmentation and re-engagement solutions).

Senior Data Scientist / Senior Data Engineer / Analytics Data Product Manager / Data Infrastructure Team Lead at Login5 Foundation (Login5 / Logineko)

June 1, 2020 - December 31, 2024

Owned the end-to-end delivery of data and analytics capabilities from operational problem discovery to enterprise-scale execution centered on BigQuery and dbt. Built cloud-based data platforms and analytics solutions (data marts and self-served reporting) supporting agriculture software products. Led data product initiatives from on-site discovery with farm users to detailed specifications and scalable data models (e.g., harvest traceability and live-tracking visualization). Defined multi-year roadmaps for data engineering and analytics maturity, partnering with executives to set strategy, KPIs, and long-term direction. Conducted SQL-based analysis and contributed to machine learning/analytics projects in farming research, while mentoring stakeholders and junior teammates and representing data engineering in executive forums.

Systems Biology, Bioinformatics & Machine Learning Engineer (Independent consultant) at Hekovnik Startup School

October 1, 2018 - June 30, 2020

Applied computational biology and machine learning to early-stage innovation projects, focusing on modeling biological regulatory systems and building AI workflows that support learning and reasoning in systems biology contexts. Modeled and simulated transcriptional regulatory networks in the HPV genome and implemented ML/AI workflows and knowledge-graph solutions to accelerate discovery and provide software-ready outputs. Delivered interdisciplinary solutions combining graph-based learning, automated reasoning, and biological insight.

Undergraduate Teaching Assistant & Thesis Advisor (External contractor) at University of Ljubljana, Faculty of Computer and Information Science

October 1, 2018 - September 30, 2020

Supported undergraduate coursework lifecycle including curriculum preparation, lab design, student mentoring, and assessment across networking, wireless/mobile networks, and digital circuits topics. Guided students through complex problem-solving bridging theory and implementation, and advised thesis work with emphasis on analytical rigor and experimental validation. Designed and delivered laboratory exercises, coursework, assignments, and exams in Slovene and English.

Data Scientist (Business Intelligence, Data Engineering & Analytics Engineer) at Celtra Inc.

April 1, 2018 - April 30, 2020

Delivered production-first analytics and machine learning solutions supporting marketing strategy and executive decision-making. Built and maintained cloud data pipelines, created data marts, and deployed reporting/dashboards at scale. Contributed as a machine learning engineer and data warehouse developer in production environments, including feature engineering and rapid prototyping. Supported DevOps and reporting infrastructure using tools such as R Shiny and modern data stacks (e.g., Spark/Databricks/Snowflake/AWS).

Co-founder / Chief Architect & Lead Developer at Nous Science

November 1, 2013 - February 28, 2015

Co-founded a research-driven startup to build a large-scale scientific data platform for cataloguing and indexing images from published research papers. Led backend development and served as principal system architect, designing data/database architecture, building large-scale scraping pipelines for public scientific sources, and implementing efficient storage and retrieval mechanisms for heterogeneous scientific artifacts. Designed a fast-access file-based data store combined with search and indexing to support low-latency querying and scalable retrieval, gaining hands-on experience in system design under resource constraints and risk-aware architectural decision-making.

Computer Scientist / Synthetic Biology Modeling Engineer (University project; iGEM) at National Institute of Chemistry, Ljubljana (iGEM Team Slovenia)

April 1, 2010 - November 30, 2010

Contributed as part of the iGEM Team Slovenia to a synthetic biology project involving computational modeling and creation of artifacts to explain biological mechanisms. Focused on simulating gene regulatory networks and presenting outputs for international competition.