CrawlJobs Logo

Data Science Director

mastercard.com Logo

Mastercard

Location Icon

Location:
United States of America , Arlington

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

179000.00 - 305000.00 USD / Year

Job Description:

At Mastercard, we’re building an Agentic AI platform to transform how our products and services deliver intelligent, personalized experiences. We are looking for a Data Science Director to lead the development and deployment of our Graph database and Reinforcement Learning capabilities in a multi-agent simulation platform.

Job Responsibility:

  • Define and execute the data science vision and roadmap for Graph database and Reinforcement Learning capabilities, aligning initiatives with business priorities and product strategy
  • Recruit, lead, and mentor a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration
  • Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes
  • Build and scale Graph database and Reinforcement Learning capabilities that enrich merchant and transaction data
  • Guide the design and implementation of Graph database and Reinforcement Learning capabilities that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance platform experiences
  • Monitor and continuously improve deployed models to ensure accuracy, reliability, and compliance in a regulated financial environment
  • Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark)
  • Ensure compliance with Mastercard’s data governance, security, and privacy requirements
  • Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards
  • Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence
  • Represent Mastercard’s AI leadership through patents, publications, conference presentations, and academic partnerships
  • Incubate prototypes and proofs-of-concept to evaluate new methods before scaling into production

Requirements:

  • Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions
  • Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations
  • Hands-on background in building and implementing Graph database and Reinforcement Learning capabilities in real world applications
  • Strong track record of translating complex data problems into scalable, measurable business outcomes
  • Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake
  • Experience working in highly regulated industries, with an emphasis on data governance and compliance
  • Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions
  • Master’s degree required
  • PhD preferred

Nice to have:

  • Experience in payments, FinTech, or consumer transaction data
  • Prior patents or publications in AI/ML
  • Demonstrated success applying GenAI or multi-agent systems in production environments
What we offer:
  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
  • 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • deferred compensation for eligible roles
  • fitness reimbursement or on-site fitness facilities
  • eligibility for tuition reimbursement

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Science Director

Lead Director, Data Science

Develop and implement analytics applications and models to transform data into m...
Location
Location
United States , New York
Salary
Salary:
141170.00 - 280000.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Administration, or related field
  • 2 years experience in marketing analytics, clinical trials, or health research
  • 2 years experience in machine learning, statistical analysis, or predictive modeling
  • 2 years experience with visualization tools including PowerBI or Tableau
  • 2 years experience with traditional relational data warehouse technologies: Oracle, Teradata, or DB2
  • 2 years experience designing data models and solutions for analytical and reporting use cases
  • 2 years experience with NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
  • 2 years experience with machine learning algorithms
  • 2 years experience with feature engineering, model tuning, distributed model training, and supervised and unsupervised learning implementation
  • 2 years experience with machine learning operations
Job Responsibility
Job Responsibility
  • Develop and implement analytics applications and models to transform data into meaningful information
  • Design and develop data solutions using industry leading tools, technologies and best practices
  • Profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business
  • Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics
  • Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources
  • Deliver predictive models that inform solutions for in-house teams and customer engagement
  • Visualize and interpret data and create reports
  • Manipulate data using statistical software
  • Compare models using statistical performance metrics
  • Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses
What we offer
What we offer
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • 401(k) retirement savings plan
  • Employee Stock Purchase Plan
  • Term life insurance plan
  • Short-term disability benefits
  • Long-term disability benefits
  • Well-being programs
  • Education assistance
  • Fulltime
Read More
Arrow Right

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...
Location
Location
United States
Salary
Salary:
240700.00 - 360900.00 USD / Year
clio.com Logo
Clio
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Graduate degree in Computer Science, Engineering, Statistics or a related field
  • 10+ years extensive experience building and scaling a data science function in a high-growth environment
  • 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
  • 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
  • Experience reporting and presenting to senior business stakeholders
  • Experience leading go-to-market initiatives and partnering with product development teams
  • Experience with putting data science solutions in production and maintaining them
  • Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
  • Growth mindset when it comes to process improvement and new technologies, especially AI
Job Responsibility
Job Responsibility
  • Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
  • Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
  • Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
  • Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
  • Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
  • Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
  • Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
  • Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
  • Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
  • Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting
What we offer
What we offer
  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
  • Flexible time off policy, with an encouraged 20 days off per year
  • EAP benefits for you and household members, including counseling and online resources
  • 401k matching and Child Education Savings
  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
  • Fulltime
Read More
Arrow Right

Senior Director of STEM-S Research and Data Science Initiatives

The Senior Director will provide strategic leadership in advancing STEM-S and Da...
Location
Location
United States , Atlanta
Salary
Salary:
Not provided
agbsearch.com Logo
AGB Search
Expiration Date
February 23, 2026
Flip Icon
Requirements
Requirements
  • Minimum and desired qualifications along with additional information about the position and AUCC can be found in the leadership profile
Job Responsibility
Job Responsibility
  • Provide strategic leadership in advancing STEM-S and Data Science education and pedagogies
  • Coordinate data science and STEM at four renowned HBCU’s
  • Continue to develop the Data Science Institute by promoting the emerging data science educational programs and facilitating interdisciplinary industry and government partnerships, and community outreach
  • Translate a collective vision into actionable strategies
  • Synthesize input from faculty, staff, and institutional leaders to build a cohesive roadmap for the consortium’s success
  • Set a common vision for success for Data Science in the AUCC that inspires and attracts faculty and students to the academic ecosystem for Data Science
  • Bring exceptional communication and listening skills to facilitate the future success for Data Science at the AUCC
Read More
Arrow Right

It Director – Data Programs

We are seeking a dedicated IT Director (Data Programs) with at least a PhD or ma...
Location
Location
United States , Metairie
Salary
Salary:
Not provided
bollingershipyards.com Logo
BOLLINGER MISSISSIPPI SHIPBUILDING LLC
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum PhD or master’s degree in data sciences, Computer Science, or Mathematics
  • 10–15+ years of progressive experience in data management, analytics, or leadership
  • Strong knowledge of data governance, metadata management, and MDM
  • Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
  • Understanding of IoT, digital twins, and Industry 4.0 technologies
  • Excellent communication, change management, and cross-functional leadership skills
  • Strategic thinking and business acumen
  • Relationship and stakeholder management
  • Enterprise systems expertise
  • Change leadership and communication
Job Responsibility
Job Responsibility
  • Develop and execute a comprehensive enterprise data strategy aligned with business, IT, and engineering goals
  • Establish and oversee data governance frameworks, policies, and standards for quality, ownership, and compliance
  • Champion a data-driven culture, enabling leaders and engineers to make informed decisions based on reliable insights
  • Define and manage the company’s data architecture roadmap—including integration with ERP, PLM, MES, and CAD systems
  • Oversee data architecture design across ship design systems, IoT/SCADA, and production operations
  • Manage data lifecycle processes—collection, storage, cleansing, classification, and archival
  • Implement data lakes, data warehouses, and cloud-based analytics platforms for enterprise use
  • Ensure interoperability between engineering data (3D modeling, CAD/BIM), production data, and financial systems
  • Lead the data analytics and AI initiatives supporting predictive maintenance, supply chain optimization, and performance analytics
  • Oversee development of dashboards, KPIs, and data visualization tools for executives and project managers
What we offer
What we offer
  • Competitive Pay
  • Comprehensive Benefits Package
  • Hybrid Schedule Available
  • Career Development
  • Cutting-Edge Projects
  • Positive Work Environment & Company Values
Read More
Arrow Right

Director, Applied Science

The Machine Learning team at Viant is revolutionizing the Ad Tech industry with ...
Location
Location
United States , Irvine
Salary
Salary:
220000.00 - 260000.00 USD / Year
viantinc.com Logo
Viant
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in machine learning
  • at least 5+ years leading and scaling high-performing teams
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • Master’s degree preferred
  • Strong expertise in developing and applying machine learning models for real-world business applications
  • Proven ability to deliver results at scale through innovation and operational excellence
  • Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry
  • Demonstrated track record of fostering collaboration across technical and business teams
Job Responsibility
Job Responsibility
  • Provide strategic and technical leadership to the Machine Learning Engineering team
  • Own the end-to-end development, deployment, and maintenance of machine learning models
  • Develop and coach a team of machine learning engineers
  • Apply advanced machine learning techniques to solve problems such as content demand forecasting, incremental value measurement, and personalization
  • Collaborate with cross-functional teams to deliver actionable insights and guide strategic decisions
  • Drive innovation by researching and implementing new methodologies
  • Build and nurture relationships with stakeholders
What we offer
What we offer
  • fully paid health insurance
  • paid parental leave
  • unlimited PTO
Read More
Arrow Right

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...
Location
Location
United States
Salary
Salary:
120000.00 - 135000.00 USD / Year
wpromote.com Logo
Wpromote
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years experience working in digital media and marketing environment
  • 6+ years experience working with media data
  • Strong client-facing experience at a digital media or performance marketing agency or similar environment
  • Experience or familiarity with statistical concepts
  • Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
  • Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
  • Strong proficiency in Excel, Google Sheets, and Google Slides
  • Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
  • Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
  • Experience with Customer Data Platforms such as Tealium or Segment
Job Responsibility
Job Responsibility
  • Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
  • Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
  • Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
  • Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
  • Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
  • Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
  • Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
  • Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
  • Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
  • Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale
What we offer
What we offer
  • Remote-first culture
  • Unlimited PTO
  • Extended Holiday break (Winter)
  • Flexible schedules
  • Work from anywhere options*
  • 100% paid parental leave
  • 401(k) matching
  • Medical, Dental, Vision, Life, Pet Insurance
  • Sponsored life insurance
  • Short Term Disability insurance and additional voluntary insurance
  • Fulltime
Read More
Arrow Right

Global Category Associate Director- Data Analytics and AI Platforms

We are seeking an individual who thrives in ambiguity, capable of driving catego...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Familiarity with procurement platforms such as Ariba, as well as ERP systems and advanced analytics tools to support decision-making and process automation
  • Excellent problem solving and organizational skills
  • Experience leading large, cross-functional teams and managing complex global projects in a matrixed environment
  • Experience managing analytics and AI/ML software procurement
  • Understanding of cloud data ecosystems (e.g., Snowflake, Databricks, AWS/Azure/Google AI)
  • Strong analytical skills with ability to assess large data sets and supplier performance
  • Doctorate degree and 14 years of Global Strategic Sourcing, Procurement or Commercial experience OR Master’s degree and 15 to 17 years & above experience of Global Strategic Sourcing, Procurement or Commercial experience OR Bachelor’s degree and 17-18 years of Global Strategic Sourcing, Procurement or Commercial experience
  • And 2 years of managerial experience directly managing people and/or leading teams, projects, or programs.
Job Responsibility
Job Responsibility
  • Lead and evolve the category strategy for Data Analytics and AI Platforms, enabling Amgen to leverage data-driven insights across R&D, Commercial, Operations and G&A functions
  • Partner with Digital, Data Science, and IT leaders to standardize platforms such as data lakes, analytics, and AI/ML environments
  • Evaluate emerging suppliers in data, AI, and predictive analytics to incorporate innovation responsibly
  • Design contracts balancing access to innovation with compliance, governance, and cost efficiency
  • Develop multi-year sourcing roadmaps to ensure data and AI platforms meet enterprise growth and compliance needs
  • Provide strategic oversight as the global lead for Software category and sourcing, ensuring alignment between category strategies and Amgen’s evolving business needs
  • Act as a trusted advisor to ensure that procurement initiatives are aligned with broader organizational objectives
  • Guide and facilitate collaboration across cross-functional teams and regional stakeholders
  • Ensure that all Software procurement activities are managed in compliance with regulatory, contractual, and operational risk requirements
  • Partner with Legal, Compliance, Data Privacy, and Cybersecurity teams to maintain oversight of risk mitigation strategies
Read More
Arrow Right

Sr. Director, Product Management for Data & AI, Security and HSI

The Sr. Director of Product Management will lead the strategy and execution of T...
Location
Location
United States , Bellevue
Salary
Salary:
207700.00 - 280900.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • More than 10 years Product Management experience in an agile software product development environment preferably in a large consumer organization with millions of consumer applications and an advanced level understanding of superior customer experiences
  • 5+ years of experience in AI, data science, and analytics
  • Expertise in LLMs and Generative AI field
  • Experience leading digital applications and successfully launching Data & AI products in the market at large scale
  • Background working with Engineering and a strong understanding of the role of engineering in product development
  • 10+ years of experience in leading strategy, innovation, and data products
  • Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms
  • 5+ years leading and developing teams of 5 or more Manager level direct reports with skip-level employees
  • Bachelor's Degree in Computer Science, Engineering, IT or equivalent
  • Demonstrated experience driving enterprise data, analytics, and insights solutions and other technologies
Job Responsibility
Job Responsibility
  • Develop the data products that empower digital customer experiences to be contextual and personal, revamping and redesigning journeys using the new AI experiences
  • Define the overall strategy for how to build and deliver the best experience to our existing users and grow the strategic areas in the T-Life Super App and T-Shop on web
  • Build a Data & AI and Security platform for all Magenta users including Postpaid, Prepaid, TFB Micro and HSI
  • reusing the platform for Metro users to build the same capabilities in the new MyMetro App
  • Enable all the core HSI (High Speed Internet) consumer experiences into one single platform available across Magenta and Metro brands
  • Oversee Security Products for ScamSheild, P360, device diagnostics, VPN, credit monitoring etc. in T-Life to ensure that we can fully fill our promise of “Peace of mind” in the T-Life app
  • Develop and maintain strategic partnerships with senior internal and/or external customers
  • Creates, plans, and owns a portfolio of high-quality products & services through a lifecycle of envisioning/investing/innovating
  • Champion and communicate information and AI product value and other key performance indicators to partners and team members
  • Develop change management and communication plans and execute connected with customer change initiatives
What we offer
What we offer
  • medical, dental and vision insurance
  • a flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off
  • up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • Fulltime
Read More
Arrow Right