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

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

Principal Associate, Data Scientist - AI Software Engineering

Principal Associate, Data Scientist - AI Software Engineering. Data is at the ce...

Location

United States , McLean; New York; San Jose

Salary:

161800.00 - 201400.00 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)

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

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 Consultant - Data & AI

The Principal Consultant is a senior leader responsible for the successful techn...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

20+ years of experience in software/solution engineering, with at least 3–5 years in delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
Enterprise Data Architecture & Modern Platforms expertise
Data Engineering & Large Scale Data Processing expertise
Database Platforms, Performance & Capacity Engineering expertise
RealTime Analytics & Operational Intelligence expertise

Job Responsibility

AI-First Delivery Leadership: Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes
Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks

Fulltime

New

Principal Product Manager - Data Center Switching

Principal Product Manager - Data Center Switching. This role has been designed a...

Location

United States , San Jose

Salary:

153500.00 - 310500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Highly motivated product management professional with 10+ years of Data Center/Product Management experience
Bachelor of Science degree or equivalent in computer science, engineering, or related field of study
Working knowledge of Data Center virtualization technologies, protocols, containers, network applications, and cloud/multi-cloud environments
Deep understanding of data center architectures and fabric technologies required to run large data centers - planning/troubleshooting/etc.
5+ years of experience with Data Center technologies from VMware, HPE, Cisco, Arista, Juniper, etc.
Self-driven. Ability to prioritize and drive to completion with minimal oversight/guidance
Ability to quickly distil complex ideas/concepts into concise value propositions
Ability to synthesize market data and customer requirements into a Product Requirement Document (PRD) and Business Case to bring innovative and disruptive products to market
Ability to wear multiple “hats”, ranging from software features, to hardware, to go to market
Guide key stakeholders on the portfolio strategy across all phases of the lifecycle

Job Responsibility

Be an integral part of one of the fastest growing organizations in HPE Networking, having both hardware and software responsibilities
Focus on go to market initiatives related to full-stack solutions (Networking, Compute, Storage, etc.)
Drive next generation platforms and define the associated requirements
Identify the right technology partners, both internal and external, to maximize the adoption of these features and capabilities
Be the recognized authority on relevant subject matter including technologies, theories, and techniques
Successfully operate in the most complex disciplines
Manage cross-division functional teams or projects that affect the organization's long-term goals and objectives
Routinely exercise independent judgment in developing methods, techniques, and criteria for achieving objectives
Assist in developing strategy and direction, including creating high level and detailed presentations

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal Applied Scientist

We seek a Principal Applied Scientist with expertise in Machine Learning, Genera...

Location

United States , Mountain View

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Building and owning production machine learning models to improve results
Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact
Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization
Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL
Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions

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

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