MoneyGram
Senior Data Science Project Manager
MoneyGram, Dallas, Texas, United States, 75215
Job Description - Senior Data Science Project Manager (24010677)DescriptionSenior Data Science Project Manager - (24010677)This position is based in the US. While this is a remote flexible role it is required to reside in this country.Who we are:MoneyGram is a customer-centric, digital-first, cross-border money movement network. Through our strong culture of fintech innovation, we’re transforming the way consumers and businesses send and receive money in nearly every country around the world.This is all made possible by our dedicated and diverse team of professionals around the world. If you’re ready for a career journey filled with exciting opportunities, come aboard and let’s drive the future of payments together at MoneyGram!What you will contribute:As part of the Data Strategy & Analytics team at MoneyGram, you will be able to lead complex data-driven projects across the organization. The ideal candidate will have a solid understanding of machine learning models and a passion for delivering impactful business outcomes through advanced analytics. This role involves coordinating cross-functional teams, managing the project lifecycle, and ensuring timely delivery of high-quality data science and machine learning solutions.What you’ll do:Project Leadership:
Lead end-to-end project management for data science and machine learning initiatives, ensuring on-time delivery within scope and budget.Technical Expertise:
Leverage knowledge of data science techniques, including supervised and unsupervised learning, predictive modeling, and algorithm optimization, to scope projects and ask the right questions.Stakeholder Collaboration:
Work closely with data scientists, data engineers, software developers, and business stakeholders to define project goals, establish priorities, and communicate progress.Strategic Alignment:
Ensure alignment of data-driven initiatives with MoneyGram’s business strategy, helping drive decisions based on analytical insights.Risk Management:
Identify and mitigate potential risks related to project timelines, scope, or quality, while continuously improving processes and methodologies.Data and Tool Integration:
Collaborate with IT and data infrastructure teams to ensure proper integration of tools, platforms, and datasets required for project success.Reporting & Communication:
Provide regular project updates to senior management, documenting progress, challenges, and opportunities. Ensure clear communication between technical and non-technical teams.Agile Methodology:
Utilize Agile project management techniques to keep teams on track, facilitating sprints, daily stand-ups, and retrospectives as needed.What we’re looking for:3+ years of project management experience, with a proven track record of delivering data science or machine learning projects. Or, experience as a data scientist with extensive experience scoping projects with the business.Hands-on experience with machine learning algorithms and predictive analytics.Familiarity with tools such as Python, R, SQL, and cloud platforms (AWS, Google Cloud, or Azure) is a plus.Strong understanding of data science and machine learning concepts and their application in a business context.Excellent organizational, communication, and leadership skills.Proficient in Agile project management and project tracking tools (e.g., JIRA).Ability to communicate complex technical topics to non-technical stakeholders.Why you will love working here:Flexible Remote First FlexibilityGenerous PTO13 Paid HolidaysMedical / Dental / Vision InsuranceLife, Disability and other benefits401K with competitive Employer MatchCommunity Service DaysGenerous parental leaveAnticipated Base Pay: $110k - $120k + participation in our annual bonus plan.At MoneyGram, we celebrate the inclusivity and diversity of our employees. We're committed to promoting a respectful workplace where every applicant gets an equal opportunity to work at MoneyGram. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local laws.
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Lead end-to-end project management for data science and machine learning initiatives, ensuring on-time delivery within scope and budget.Technical Expertise:
Leverage knowledge of data science techniques, including supervised and unsupervised learning, predictive modeling, and algorithm optimization, to scope projects and ask the right questions.Stakeholder Collaboration:
Work closely with data scientists, data engineers, software developers, and business stakeholders to define project goals, establish priorities, and communicate progress.Strategic Alignment:
Ensure alignment of data-driven initiatives with MoneyGram’s business strategy, helping drive decisions based on analytical insights.Risk Management:
Identify and mitigate potential risks related to project timelines, scope, or quality, while continuously improving processes and methodologies.Data and Tool Integration:
Collaborate with IT and data infrastructure teams to ensure proper integration of tools, platforms, and datasets required for project success.Reporting & Communication:
Provide regular project updates to senior management, documenting progress, challenges, and opportunities. Ensure clear communication between technical and non-technical teams.Agile Methodology:
Utilize Agile project management techniques to keep teams on track, facilitating sprints, daily stand-ups, and retrospectives as needed.What we’re looking for:3+ years of project management experience, with a proven track record of delivering data science or machine learning projects. Or, experience as a data scientist with extensive experience scoping projects with the business.Hands-on experience with machine learning algorithms and predictive analytics.Familiarity with tools such as Python, R, SQL, and cloud platforms (AWS, Google Cloud, or Azure) is a plus.Strong understanding of data science and machine learning concepts and their application in a business context.Excellent organizational, communication, and leadership skills.Proficient in Agile project management and project tracking tools (e.g., JIRA).Ability to communicate complex technical topics to non-technical stakeholders.Why you will love working here:Flexible Remote First FlexibilityGenerous PTO13 Paid HolidaysMedical / Dental / Vision InsuranceLife, Disability and other benefits401K with competitive Employer MatchCommunity Service DaysGenerous parental leaveAnticipated Base Pay: $110k - $120k + participation in our annual bonus plan.At MoneyGram, we celebrate the inclusivity and diversity of our employees. We're committed to promoting a respectful workplace where every applicant gets an equal opportunity to work at MoneyGram. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local laws.
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