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Steven M. Mortimer Email & Phone Number

AI/ML Data Science Leader
Location: Houston, Texas, United States 14 work roles 3 schools
1 work email found @bcg.com 2 phones found area 757 and 650 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 2 phones

Work email s****@bcg.com
Direct phone (757) ***-****
LinkedIn Profile matched
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Role
AI/ML Data Science Leader
Location
Houston, Texas, United States

Who is Steven M. Mortimer? Overview

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Quick answer

Steven M. Mortimer is listed as AI/ML Data Science Leader based in Houston, Texas, United States. AeroLeads shows a work email signal at bcg.com, phone signal with area code 757, 650, and a matched LinkedIn profile for Steven M. Mortimer.

Steven M. Mortimer previously worked as Data Scientist at Meta and Project Leader / Lead Data Scientist at Boston Consulting Group (Bcg). Steven M. Mortimer holds Master Of Business Administration - Mba from University Of Virginia Darden School Of Business.

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{first_initial}{last}@bcg.com
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Profile bio

About Steven M. Mortimer

Technology & Data Project Manager driving results for clients through innovative product development, research and analytics, human capital initiatives, and operations transformation.Management strengths- Laser focused on the most practical and impactful solutions- Clear and concise communication- High attention to detail- "T"-shaped expertise (broad across the technology landscape and deep in analytics)- Strong entrepreneurial drive- Leading by example and leading from where you sit- Commitment to mentorship and people developmentTechnical capabilities- Data Science Tools: Python, R, SQL, Apache Spark (PySpark), SAS- Databases: SQL Server, PostgreSQL, Oracle, MySQL, MongoDB, Apache Solr- Visualization: Tableau, Microsoft Power BI- Web Programming: HTML, CSS, JavaScript (React.js/Vue.js), XML, REST & SOAP APIs- Interactive Development Environments (IDEs): Visual Studio Code, PyCharm, RStudio, Databricks- Amazon Web Services: IAM, S3, EC2, EMR, RDS, DynamoDB, Lambda, API Gateway- Version Control Systems: Git/Git-flow, GitHub, Stash, Subversion- Project Management: Atlassian Product Suite (Jira, Trello, Confluence, Stash, Hipchat)- Google Enterprise Apps: Docs, Drive, Sheets, GMail- Microsoft Office: Outlook, PowerPoint, Excel including Visual Basic for Applications (VBA)Personal Website:- https://stevenmortimer.comGitHub:- https://github.com/StevenMMortimer

Listed skills include Data Analysis, R, Statistics, Sql, and 17 others.

14 roles

Steven M. Mortimer work experience

A career timeline built from the work history available for this profile.

Data Scientist

Menlo Park, CA, US

  • Led measurement strategy for Meta's AI labeling operations consisting of 400+ projects with $500M annual spend
  • Created org-wide topline metrics to monitor AI label quality while tracking adoption of cost reduction levers resulting in 10% decrease of spend with no negative impacts on quality
  • Supported the release of foundational AI models, such as, Llama3 and Segment Anything
Apr 2022 - May 2024

Project Leader / Lead Data Scientist

Boston, Massachusetts, US

  • Led global team of nine high-performing data scientists tasked with improving quality of client deliverables and mitigating legal, ethical, and security risks across portfolio of 100+ engagements
Aug 2021 - Apr 2022

Consultant / Senior Data Scientist

Boston, Massachusetts, US

  • Designed algorithms to identify $1.7B in incremental spend for a healthcare organization, then created and delivered trainings for 10 employees to leverage and maintain these tools
  • Modeled the returns of 10 marketing channels for a pharmaceutical company and recommended an optimal mix as a series of initiatives to improve returns by 20-35% (est. $9M-$16M in revenue)
  • Created over 2,000 hyperlocal scenarios projecting change in product demand due to Covid-19 related unemployment for a global pharmaceutical company (est. 3-8% on $15B portfolio)
Jul 2019 - Jul 2021

Senior Associate Intern (Advisory)

GB

  • Led requirements gathering for an $8M tech transformation staffed with 36 consultants by creating staffing models, onboarding new team members, and capturing client user stories and requirements
  • Designed customer milestone tracking and customer survey components to enhance PwC’s Service Excellence solution
Jun 2018 - Aug 2018

Senior Manager Of Data Science

Richmond, VA, US

  • Managed team of seven implementing data-driven solutions to maximize revenue and reduce costs across Product, Marketing, Sales, and Customer Service divisions
Jun 2016 - May 2017

Manager Of Data Science

Richmond, VA, US

  • Launched analytical tools to help sales teams recognize available inventory, identify highest-value customers, and reduce customer churn, resulting in a 15% increase in recurring annual revenue
  • Received the President's Club Award for the embodiment of urgency, focus, and collaboration by helping multiple departments adopt data-driven decision making as a standard practice
Mar 2016 - Jun 2016

Data Scientist

Richmond, VA, US

  • Hired as first Data Scientist leading efforts to increase the use of data across business divisions
  • Scaled product inventory forecasting on 15,000 unique zip codes executed monthly to enable dynamic pricing and revenue optimization
Mar 2015 - Mar 2016

Data Scientist Iii

Washington, District Of Columbia, US

  • Led the creation of a suite of predictive tools and analyses embedded in a new product aimed at helping colleges and universities improve retention and graduation outcomes
  • Collaborated with account executives on requests for proposal and provided subject matter expertise on sales calls to assist in winning $5M in new revenue
Apr 2014 - Mar 2015

Data Scientist Ii

Washington, District Of Columbia, US

  • Redesigned algorithms and analytics back-end to enable product scaling from 5 alpha members to 160 members
  • Recognized for the “Be Smarter” award for reducing nightly server processing times by over 90%
  • Received the Invention, Development, & Excellence Award (IDEA) for the creation of a generalized and scalable machine learning framework for use in multiple applications
Nov 2012 - Apr 2014

Senior Data Analyst

Washington, District Of Columbia, US

  • Prepared readmission risk scores and total inpatient admission costs for projects researching 50 million Medicare enrollees
  • Created and analyzed over 50 different surveys that established national benchmarks in hospital philanthropy, physician and nurse engagement, and hospital position staffing and turnover
May 2011 - Nov 2012

Intern

Tallahassee, Florida, US

  • Produced presentation and manuscript for peer review describing the development and treatment of nephrocalcinosis in juvenile red drum reared in recirculating aquaculture systems
  • Modeled risk of disease under varying water quality parameters
  • Performed quality assurance (QA/QC) on water quality testing instruments
Aug 2010 - Dec 2010

Summer Intern V

Alexandria, Virginia, US

  • Provided descriptive statistics and enhancements on the Aggregated Cost of Leave (ACOL) model under The 11th Quadrennial Review of Military Compensation
  • Created scenario planning metrics for forecasting and sensitivity analysis of personnel inventories for US Armed Forces Reserve Components
  • Researched geographical variation in active duty deployment and appropriate duration per tour of duty for hundreds of military occupations
Jun 2010 - Aug 2010

Senior Resident

Charlottesville, VA, US

  • Managed and coordinated administrative responsibilities for staff of 12 Resident Advisors and over 800 university students with a budget of $7,250
  • Prepared documents of expenditure, violations of university policy and reviews for 12 direct reports
  • Served area as community leader, role model and information resource
Aug 2009 - May 2010

Research Assistant

Charlottesville, Virginia, US

  • Prepared and analyzed self-report survey and blood glucose data of children and adults with Type I or Type II diabetes for the Department of Psychiatry & Neurobehavioral Sciences
  • Collaborated with team of 4 researchers on publications and proposals for NIH grant funding
  • Examined reliability, validity, and norms of the Fear of Hypoglycemia survey
  • Presented data from multiple research projects investigating blood glucose control
May 2008 - May 2009
3 education records

Steven M. Mortimer education

Master Of Business Administration - Mba

University Of Virginia Darden School Of Business

Master Of Science (Ms), Statistics

University Of Virginia

Bachelor Of Arts (Ba), Double Major In Mathematics And Statistics

University Of Virginia
FAQ

Frequently asked questions about Steven M. Mortimer

Quick answers generated from the profile data available on this page.

What is Steven M. Mortimer's role at their current company?

Steven M. Mortimer is listed as AI/ML Data Science Leader.

What is Steven M. Mortimer's email address?

AeroLeads has found 1 work email signal at @bcg.com for Steven M. Mortimer.

What is Steven M. Mortimer's phone number?

AeroLeads has found 2 phone signal(s) with area code 757, 650 for Steven M. Mortimer.

Where is Steven M. Mortimer based?

Steven M. Mortimer is based in Houston, Texas, United States.

What companies has Steven M. Mortimer worked for?

Steven M. Mortimer has worked for Meta, Boston Consulting Group (Bcg), Pricewaterhousecoopers, Homes.Com, and The Advisory Board Company.

How can I contact Steven M. Mortimer?

You can use AeroLeads to view verified contact signals for Steven M. Mortimer, including work email, phone, and LinkedIn data when available.

What schools did Steven M. Mortimer attend?

Steven M. Mortimer holds Master Of Business Administration - Mba from University Of Virginia Darden School Of Business.

What skills is Steven M. Mortimer known for?

Steven M. Mortimer is listed with skills including Data Analysis, R, Statistics, Sql, Analysis, Leadership, Research, and Data Science.

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