James Scott Jr Principal Machine Learning Engineer

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Principal Machine Learning Engineer

Dow Jones & Company/The Wall Street Journal

Jun 2021 - Oct 2023 (2 years 5 months)

- Revolutionizing Document Classification with NLP: Leveraged cutting-edge BERT (NLP) Transformer HuggingFace models to achieve document-level understanding and accurately classify SEC filing documentation in production. - . Resulted in a 50% reduction in misclassificatin rates, saving the company approximately $2 million annually in potential revenue loss. 2. Enhancing Workflow with OpenAI. - LLM(Generative AI): Introduced an OpenAI Language Model (LLM) into production, enabling effortless database querying.

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Principal Machine Learning Engineer

S&P Dow Jones

Jun 2021 - Current (5 years 2 months)

1. Revolutionizing Document Classification with NLP: Leveraged cutting-edge BERT (NLP) Transformer HuggingFace models to achieve document-level understanding and accurately classify SEC filing documentation in production. Resulted in a 50% reduction in misclassification rates. 2. Enhancing Workflow with OpenAI/Bedrock - LLM(Generative AI): Introduced an Claude & ChatGPT LLM, enabling effortless database querying. This innovation in production greatly improved workflow efficiency for quality assurance analysts and leaders which reduced the time spent on data retrieval by 75%, resulting in annual labor cost savings of $500,000. 3. Market Cap Prediction for S&P 500 with Pytorch (RNN): Developed an advanced Long Short-Term Memory (LSTM) model t

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Director of Data Science & Machine Learning

Vizient Inc.

May 2021 - Current (5 years 3 months)

- Causality Analysis for Healthcare Impact: Conducted a groundbreaking study using employee-to-employer relationship data and patient data to determine the causal link (DoWhy) between stress burnout and extended hospital stays. - Data-Driven Product Enhancement - A/B Test & Hypothesis Testing: Spearheaded a systematic A/B testing approach for company products, leveraging data to make informed decisions about feature implementation. - The results of numerous A/B tests collectively led to a remarkable 20% increase in user engagement. By incorporating innovative features I not only enriched the user experience but also contributed to more efficient healthcare operations.

Data Scientist Director (Research Only)

Vizient Inc

May 2021 - Current (5 years 3 months)

1. Causality Analysis for Healthcare Impact: Conducted a groundbreaking study using employee-to-employer relationship data and patient data to determine the causal link (DoWhy) between stress burnout and extended hospital stays. Our findings revealed a statistically significant relationship, suggesting that addressing stress and burnout can potentially reduce hospital stay duration by up to 20%. 2. Hypothesis Spearheaded a systematic A/B testing approach for company products, leveraging data to make informed decisions about feature implementation. The results of numerous A/B tests collectively led to a remarkable 20% increase in user engagement. By incorporating innovative features I not only enriched the user experience but also contribute

Lead Data Scientist

CareFirst BlueCross BlueShield

Aug 2018 - May 2021 (2 years 10 months)

- Preventative Healthcare Innovations: Spearheaded the development of cutting-edge machine learning algorithms on AWS, predicting diseases like diabetes, prostate/breast cancer, and heart failure. - Employed Random Forest and XGBoost models to achieve remarkable predictive accuracy, potentially saving lives through early disease detection. - Transforming Reporting Culture: Successfully convinced stakeholders to transition from legacy Excel reporting to dynamic Power BI dashboards for department-wide reporting.

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Senior Data Scientist

REMEDI SENIORCARE

Apr 2018 - Aug 2018 (5 months)

- In my role as a senior data scientist, I held a pivotal position reporting directly to the company CFO, where I introduced trans-formative machine learning and statistical modeling practices that significantly contributed to driving business. - Pioneered the use of hypothesis testing to assess the impact of name-brand drugs and drug components on generic drug prices and vice versa. - Demonstrated statistical significance through p-values, leading to data-informed pricing strategies and a potential 15% reduction in drug acquisition costs.

Data Scientist

Allegis Group

Sep 2017 - Mar 2018 (7 months)

- Transforming Reporting Culture: Successfully convinced stakeholders to transition from legacy Excel reporting to dynamic Power BI dashboards for department-wide reporting. - Enhancing Customer Experience through Data:Quantitatively assessed and recommended action plans, leveraging reporting, analysis, and machine learning techniques to optimize the customer experience. - Implemented data-driven strategies that led to a 15% improvement in customer satisfaction.

Statistical Analyst

Wells Fargo

Oct 2016 - Sep 2017 (1 year)

As a data scientist, I have consistently delivered impactful contributions to the organization, focusing on optimizing revenue and reducing expenses: 1. Statistical Modeling for Portfolio Optimization: Spearheaded statistical modeling projects to optimize company portfolios and revenue streams. Developed predictive models that identified high-performing assets, resulting in a 20% increase in portfolio profitability, potentially generating an additional $10 million in revenue annually. 2. Strategic Revenue and Expense Management: Continuously monitored company revenue and expenses, utilizing advanced statistical modeling and data analysis techniques. Introduced innovative strategies, such as optimizing perpetual and complex payment options,

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Statistical Analyst

WellsFargo

Oct 2016 - Sep 2017 (1 year)

As a data scientist, I have consistently delivered impactful contributions to the organization, focusing on optimizing revenue and reducing expenses: 1. Statistical Modeling for Portfolio Optimization: Spearheaded statistical modeling projects to optimize company portfolios and revenue streams. Developed predictive models that identified high-performing assets, resulting in a 20% increase in portfolio profitability, potentially generating an additional $10 million in revenue annually. 2. Strategic Revenue and Expense Management: Continuously monitored company revenue and expenses, utilizing advanced statistical modeling and data analysis techniques. Introduced innovative strategies, such as optimizing perpetual and complex payment options,

James Scott Jr

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