Principal Associate, Data Science Job at Capital One (McLean)

Associate principal specialist

Lead impactful patient safety initiatives in a dynamic, global pharmaceutical en...

Location

Japan , Tokyo, Osaka

Salary:

12000000.00 - 18000000.00 JPY / Year

Randstad

Expiration Date

February 16, 2026

Requirements

Qualified degree in Pharmacy, Medical Sciences, or a related field
Understanding of relevant regulations (e.g., PMD Act, GCP/GVP/GPSP)
Basic knowledge of statistical analysis
Expertise in medical/pharmaceutical science
Experience with process improvement methodologies (e.g., 6 sigma)
Excellent communication and negotiation skills (verbal and written)
Business-level English proficiency (for communication with global teams)
Proven ability to influence decisions and build credibility in complex situations
Coaching and mentoring experience
Project management skills

Job Responsibility

Lead impactful patient safety initiatives in a dynamic, global pharmaceutical environment
Oversee and manage patient safety-related processes, activities, and issues at the country level
Provide expert advice and support on patient safety processes and strategy
Analyze data and identify trends to mitigate patient safety risks
Support the development and implementation of patient safety processes and strategies
Contribute to significant decisions and projects on a multi-country or local level
Lead small projects or specific segments of larger international projects
Potentially manage junior team members (Matrix Manager)

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

New

Principal Data Scientist - AI Context Architect

In this vital role you will serve as a senior individual-contributor authority o...

Location

United States , Thousand Oaks

Salary:

163136.00 - 214390.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
Master’s degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
Bachelor’s degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
Associate’s degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience
10–12+ years applying data science in enterprise environments with demonstrated principal-level influence
Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts
Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor
Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns
Working knowledge of reinforcement learning concepts

Job Responsibility

Define enterprise-grade semantic representations for healthcare/life-sciences concepts
Create and maintain semantic schemas / ontologies / knowledge-graph models
Establish context engineering standards
Lead feature engineering strategy tied directly to model performance
Perform exploratory data analysis on complex, high-dimensional datasets
Build and evaluate context-aware ML/GenAI solutions
Apply reinforcement learning concepts
Prototype and benchmark algorithms and approaches
Architect and implement retrieval and memory patterns
Define data quality and semantic quality gates

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program
Stock-based long-term incentives
Award-winning time-off plans

Fulltime

New

Principal Associate, Ontology and Data Modeling

The role of the Principal Associate of Ontology and Data Modeling is to develop,...

Location

United States , McLean; Wilmington; New York

Salary:

119400.00 - 163500.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, or SKOS)
At least 3 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
At least 3 years’ experience or training with SQL or SPARQL

Job Responsibility

Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development
Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services
Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment
Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One
Test/troubleshoot new or updated models and systems
Manage and oversee other projects as assigned by Product Owners and Supervisors

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Principal Associate, Data Scientist - Customer Management

Principal Associate, Data Scientist - Customer Management. Data is at the center...

Location

United States , McLean; New York

Salary:

161800.00 - 184600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Principal Data Architect

AWS system Architect principal is a senior technical expert at Amazon Web Servic...

Location

United Kingdom , London

Salary:

Not provided

Plusnet

Expiration Date

January 19, 2026

Requirements

A bachelor’s degree in computer science, information technology, or any relevant field
AWS Solutions Architect, Associate or Professional, is good to have and holds high weight
Strong knowledge of cloud concepts, architecture patterns, and best practices
Proven experience in designing, implementing, and maintaining AWS solutions
Hands-on experience with any cloud, preferably AWS, is preferred
Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures
Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows
In-depth technical knowledge of AWS data services, with hands-on experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena
Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data

Job Responsibility

Lead End-to-End Data Lifecycle: Own and manage the complete data lifecycle—from capturing learning interaction data to delivering consolidated insights—ensuring data is accurate, accessible, and actionable
Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability
Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem
Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation
Communicate with Impact: Translate complex technical concepts into clear, non-technical language for business stakeholders and internal customers
Act as a Subject Matter Expert: Serve as a go-to expert in data architecture, resolving complex issues and fostering thought leadership and technical excellence
Drive Standards and Best Practices: Lead the implementation of architectural guidelines and frameworks, ensuring alignment with strategic objectives and consistency across solutions
Monitor and Optimise Services: Define and oversee service metrics, collaborating with stakeholders to meet performance standards and client expectations
Innovate and Evolve Architecture: Spearhead the conceptualisation and development of innovative data services and products, aligned with evolving business needs
Mentor and Develop Talent: Coach and support experienced professionals, building current and future capabilities within the data architecture team

What we offer

Annual On target bonus 15% (personal and company multipliers)
Car allowance - worth £5500 a year (can be taken as cash)
Private healthcare for you and your family
BT Pension scheme
minimum 5% employee contribution, BT contribution 10%
Life Assurance
Direct share scheme
Exclusive colleague discounts on our latest and greatest BT broadband packages
50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans
My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers

Fulltime

!

Fabric Administrator

The Microsoft Fabric Administrator is responsible for managing, configuring, and...

Location

United States , El Paso; Las Cruces

Salary:

70720.00 - 99840.00 USD / Year

JH Rose Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field (preferred)
At minimum 3 – 5 (three to five) years of experience administering Power BI and Microsoft Azure environments
Proven Experience in Fabric Administration to include hands-on experience troubleshooting in: Dataset refresh failures
Gateway & connectivity issues
Capacity and performance bottlenecks
Model optimization (DAX efficiency, table relationships, memory usage)
Strong understanding of Power BI/Fabric architecture: capacities, semantic models, refresh pipelines, Lakehouse, Warehouse, notebooks and OneLake
Experience with Azure Active Directory (Entra ID), service principals and role-based access control
Proficiency with monitoring tools (Log Analytics, Admin Portal, Capacity Metrics App)
Familiarity with REST APIs, Fabric CLI, Power Shell, or automation frameworks

Job Responsibility

Manage and configure Fabric capacities, workspace assignments, workspace settings, and capacity scaling
Oversee OneLake storage organization, shortcuts, security, and data access governance
Maintain and enforce workspace standards, naming conventions, and lifecycle management
Manage Power BI Applications configuring audiences, enforcing Row-Level Security and visibility
Administer user permissions, roles, service principals, and managed identities across all Fabric Artifacts
Diagnose and resolve Power BI architecture issues related to: Dataset/semantic model refresh failures
Gateway and connectivity issues
Capacity overload and throttling
Long-running DAX queries, slow visuals, inefficient data models
Incremental refresh configuration and performance tuning

What we offer

401(k)
Dental Insurance
Health Insurance
Life Insurance
Paid Time Off
Tuition Reimbursement
Vision insurance
Health Savings Account

Fulltime

Principal Associate, Data Science

Capital One

Location:
United States , McLean ▼
New York
Richmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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

Similar Jobs for Principal Associate, Data Science

Associate principal specialist

Data Scientist 2

Data Scientist 2

Principal Data Scientist - AI Context Architect

Principal Associate, Ontology and Data Modeling

Principal Associate, Data Scientist - Customer Management

Principal Data Architect

Fabric Administrator

Principal Associate, Data Science

Capital One

Location:United States , McLean ▼New YorkRichmond

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 06, 2026

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

Similar Jobs for Principal Associate, Data Science

Associate principal specialist

Data Scientist 2

Data Scientist 2

Principal Data Scientist - AI Context Architect

Principal Associate, Ontology and Data Modeling

Principal Associate, Data Scientist - Customer Management

Principal Data Architect

Fabric Administrator

Location:
United States , McLean ▼
New York
Richmond

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
January 06, 2026