Alex Schwarm, Ph.D. Email and Phone Number
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As an accomplished and business-driven Head of Data and Data Science, I have a proven track record of delivering exceptional financial results by building innovative teams and driving profitable growth. Through strategic, data-driven initiatives, I supported pushing company revenue from $800M to $2.4B during my tenure. This work, along with fostering a culture of innovation and excellence, enabled the company's recognition as #6 in Fast Company's 2023 Best Workplaces for Innovators.In the past two years, I dramatically expanded Data Science capability, successfully built and expanded a high-performing ML Engineering team, while concurrently establishing a robust Analytics Engineering capability. Through my leadership, I spearheaded initiatives that led to multiple, on-line models enhancing decision-making, automation, and efficiency leading to significant business value (e.g., one mode is generating $16M annualized margin/profit). Concurrently, we tripled our data processing volume while making huge strides in cost efficiency. Previously, I ran the Data Science team at Dun & Bradstreet and dramatically increased the number of new products offered while significantly growing the Data Science team and Data Science revenue.These results demonstrate my commitment to driving business success and achieving significant financial outcomes.Specialties: Data Science, Product Strategy, Product Management, Machine Learning/AI, Natural Language Processing, Product Marketing, Logistics, Digital Marketing, Programmatic/Digital Advertising, Marketing Analytics, Agile Software Design/Development Processes, Process Data Analysis (semiconductors, solar), Optimization, Modeling, Data Visualization, and Data AnalyticsSpecialties: Product Strategy, Product Management, Machine Learning/AI, Natural Language Processing, Product Marketing, Logistics, Digital Marketing, Programmatic/Digital Advertising, Marketing Analytics, Agile Software Design/Development Processes, Process Data Analysis (semiconductors, solar), Optimization, Modeling, Data Visualization, and Data Analytics
Securityscorecard
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Head Of Data Science And AiSecurityscorecardAustin, Tx, Us
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Vp / Head Of Data And Ai / Data Science (Data Science, Ml Eng., Data Eng., Analytics Eng.)Arrive Logistics Nov 2021 - PresentAustin, Texas, Us▪ Spearheaded the establishment, growth, and development of the Data Organization at a tech-forward company, enabling profitable growth from $800M/yr to $2.4B/yr in revenue within a span of two years▪ Tripled the Data Science team size and led the implementation of multiple new online, real-time Data Science models, resulting in substantial value delivery (e.g., one model alone contributing >$16M in annualized gross profit) and significant sustainability impact (e.g., >230M lbs. of CO2 saved in 2024) while identifying new opportunities using fine-tuned, generative AI models (OpenAI, open source LLMs)▪ Pioneered the development of a new ML Engineering team and established streamlined processes, significantly boosting the speed and maintainability of Data Science implementations▪ Implemented processes and state-of-the-art technologies to scale data engineering and analytics engineering capabilities, facilitating the processing of 3X the data volume while significantly improving cost efficiency -
Vice President / Head Of Data ScienceArrive Logistics Jun 2021 - Nov 2021Austin, Texas, Us▪ Built and led Data Science team; quickly promoted to a much larger, increased scope▪ Deliver quantitative business value to organization through leading the team to increase gross profit by over $1M per month▪ Developed Multi-Year Data Science strategy for dramatically increasing key business metrics
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Vp / Head Of Data Science, Digital Marketing/Sales And Supply Chain RiskDun & Bradstreet Apr 2019 - Jun 2021Jacksonville, Fl, Us▪ Led the creation of multiple business cases, presented to executive committee, and received multi-million dollar investments for new products▪ Doubled data science team to support three critical new product development efforts, including creating a Natural Language Processing core competency within Dun & Bradstreet▪ In nine months, went from concept, to prototype, to beta, to release of patent-pending Natural Language Processing based product leveraging digital identity resolution on billions of web events▪ Inventor/Co-inventor on 33 patents in the areas of machine learning, NLP, modeling, and optimization, 30 granted and 3 submitted▪ Collaborated across product teams, technology teams, and sales on enabling new D&B Buyer Intent product for digital advertising/programmatic advertising and sales use cases▪ Participated in over 50 sales calls with Fortune 500 companies and implemented freemium, scalable, personalized Buyer Intent Reach Report for pre-sales engagements▪ At beginning of pandemic, went from concept to release of freemium, personalized, scalable, automated multi-tier supply chain risk assessment, still in use as of 2024▪ Deep knowledge and multiple patents covering applications of: Deep Learning / Natural Language Processing (Language models, BERT, word embeddings, word2vec, semantic similarity, document classification), Classification and regression (GBM/GBT, Random Forest, SVM), Dimensionality reduction (auto encoders, PCA, SVD), optimization/nonlinear programming (FSQP, QP, LP), autonomous control (MPC), and related mathematical modeling -
Sr. Director Product Management, Digital Marketing / Sales Analytics / AiDun & Bradstreet Jan 2017 - Apr 2019Jacksonville, Fl, Us▪ Led team to define novel technique (patent pending) using large-scale, time-series analysis of web content in conjunction with natural language processing (NLP) to automatically deliver customers their best potential prospects▪ Defined positioning/messaging and delivered customer presentations to penetrate new product offerings at over 10 strategic accounts▪ Delivered proof-of-concept classification models using deep-learning-based NLP algorithms for digital marketing applications▪ Led team to implement on-line system for automatically scoring and prioritizing prospects based on personalized machine learning models
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Sr. Director Product Management, Data ScienceDun & Bradstreet Jan 2016 - Dec 2016Jacksonville, Fl, Us▪ Led cross-functional and cross-organizational team to develop machine-learning-basedsystem for automated personalized analysis▪ Led scrum team to release SaaS product with machine learning-based, automated system foraccount-based-marketing segmentation and automated market sizing/TAM analysis, goingfrom my initial concept to delivery in 5 months using an agile scrum approach
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Sr. Director Product Management, Data-As-A-Service (Daas)Dun & Bradstreet Jun 2014 - Dec 2015Jacksonville, Fl, Us▪ Created business plan and market penetration strategy for large, strategic Data-as-a-Service (DaaS) product offering as part of company's overall modernization goal▪ Initiated incubation project investigating automated machine-learning modeling for performing marketing analytics
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Business Unit Product Management LeaderApplied Materials Nov 2013 - Jun 2014Santa Clara, Ca, Us▪ Managed team of six product managers to develop market sizing, market share analysis, and product strategy for complex product portfolio encompassing hardware, process control/analytics software, and services of over $200M▪ Defined strategy for service delivery growth based on multiple strategic analysis techniques (Porter, Osterwalder) -
Sr. New Product Manager - Advanced Analytics ServicesApplied Materials Aug 2012 - Nov 2013Santa Clara, Ca, Us▪ Developed business plan and launched new service product to deliver over $7M in bookings within 6 months of launch
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Solar Solution Manager / China Regional Marketing ManagerApplied Materials Mar 2009 - Aug 2012Santa Clara, Ca, Us▪ Doubled China regional revenue year-over-year and justified significant increase in sales force to capitalize on new opportunities▪ Defined global market penetration strategy for solar cell manufacturing service and automation solutions through defining market needs, opportunity, market segmentation, and customer profiles ▪ Supported multiple sales cycles for multiple products in China region including penetration plans, target customers, and supporting executive-level proposals and technical presentations ▪ Executed development gate exit reviews with executive management for multiple, concurrent projects
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Business Development And Analytics Consulting Services ManagerApplied Materials Apr 2008 - Mar 2009Santa Clara, Ca, Us▪ Led global consulting team to win consulting and product sales at multiple Fortune 500customers to deliver innovative solutions for record consulting revenue in multiple regions▪ Developed engagement process and defined organizational structure for executing consultingand product sales support▪ Directly participated in over 30 sales cycles in China, S. Korea, Taiwan, Japan, Singapore, Europe, and North America
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New Products ManagerApplied Materials Nov 2005 - Apr 2008Santa Clara, Ca, Us▪ Developed business plans, revenue growth plan, and managed all new product developmentwork for group including defining new markets, new product definitions, and potentialacquisition targets▪ Led advanced analysis team to identify new market opportunities (six direct reports) throughcollaboration with sales teams and engineering groups▪ Profit and loss (P&L) responsibility for multiple new products including resource budgets,vendor negotiations, and pricing strategies▪ Coordinated and led all product development effort across three development groups based inmultiple regions based on market-driven product needs and vision
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Implementation And Support Manager, Analytics ProductsApplied Materials Nov 2003 - Nov 2004Santa Clara, Ca, Us▪ Developed resource plans and defined success criteria for product installations▪ Coordinated and led support for multiple service deliverables across multiple processes(dielectric etch, dielectric deposition, rapid thermal processing, ALD/PVD, chemicalmechanical planarization)
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Member Of Technical Staff, Analytics / Data Science ProductsApplied Materials Jul 2000 - Oct 2003Santa Clara, Ca, Us▪ Managed internationally-based technical development team▪ Defined high-fidelity, predictive models, control systems, and experimental designs (DOE) ▪ Algorithms and models developed resulted in over $250M in sales over 10 years
Alex Schwarm, Ph.D. Skills
Alex Schwarm, Ph.D. Education Details
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University Of DelawareChemical Engineering -
Texas A&M UniversityChemical Engineering
Frequently Asked Questions about Alex Schwarm, Ph.D.
What company does Alex Schwarm, Ph.D. work for?
Alex Schwarm, Ph.D. works for Securityscorecard
What is Alex Schwarm, Ph.D.'s role at the current company?
Alex Schwarm, Ph.D.'s current role is Head of Data Science and AI.
What is Alex Schwarm, Ph.D.'s email address?
Alex Schwarm, Ph.D.'s email address is al****@****ail.com
What is Alex Schwarm, Ph.D.'s direct phone number?
Alex Schwarm, Ph.D.'s direct phone number is +140842*****
What schools did Alex Schwarm, Ph.D. attend?
Alex Schwarm, Ph.D. attended University Of Delaware, Texas A&m University.
What skills is Alex Schwarm, Ph.D. known for?
Alex Schwarm, Ph.D. has skills like Product Management, Product Development, Cross Functional Team Leadership, R&d, Product Marketing, Strategy, Product Lifecycle Management, Marketing Strategy, Product Engineering, Data Analysis, P&l Management, Predictive Analytics.
Who are Alex Schwarm, Ph.D.'s colleagues?
Alex Schwarm, Ph.D.'s colleagues are Narendra Khatri, Hem Rai, Ankur Prasad, Mark Kroytor, Alex Rich, Quoc (Seine) Ly, Yaling Lu.
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