Manager, Data Scientist - Model Risk Office Job at Capital One (McLean)

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Senior Manager, AI Governance

Leads the responsible and ethical use of Artificial Intelligence across our orga...

Location

United States , Houston

Salary:

Not provided

Sysco

Expiration Date

Until further notice

Requirements

Master’s degree from an accredited institution in a relevant field such as Computer Science, Engineering, Law, or Public Policy
Seven (7) years in a governance-focused role, with a strong background in legal, compliance, or data governance
Demonstrated ability to implement significant change projects, successfully integrating new governance practices into existing organizational structures
Practical experience in building and managing comprehensive project and program plans, including defining scope, objectives, and resource requirements
A track record of establishing a strong foundation for data quality and governance, treating data as a valuable organizational product
Experience in AI risk management, including the ability to identify potential risks, establish mitigation plans, and integrate compliance measures
Technical Acumen: A strong understanding of AI technologies and machine learning models, as well as their ethical implications
Legal & Regulatory Expertise: Comprehensive knowledge of relevant laws and industry standards for AI ethics, data protection, and privacy (e.g., EU AI Act, NIST AI Risk Management Framework)
Leadership & Strategic Thinking: Demonstrated leadership skills with the ability to influence and drive organizational change
Communication: Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and ethical concepts to diverse audiences

Job Responsibility

Drive Framework Implementation and Enhancement: Lead the planning and execution of our AI governance framework
Manage AI-Specific Risks: Proactively identify, assess, and mitigate risks related to algorithmic bias, data privacy, security, and operational vulnerabilities
Ensure Regulatory Compliance: Stay current with the evolving legal and regulatory landscape
Integrate with Data Governance: Work closely with our Data Governance team to ensure seamless alignment between our AI and data governance frameworks
Foster Cross-Functional Collaboration: Partner with data scientists, engineers, legal counsel, compliance officers, and senior leadership
Build an AI Inventory: Take the lead on creating and maintaining a comprehensive inventory of our AI models and applications
Drive Training and Awareness: Develop and deliver enterprise-wide training programs to raise awareness about AI risks, ethical considerations, and compliance requirements

Fulltime

New

Senior Manager, Data Science - Model Risk Office

Senior Manager, Data Science - Model Risk Office Data is at the center of every...

Location

United States , McLean, Virginia; Richmond, Virginia; Riverwoods, Illinois; New York, New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 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 5 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) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

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

Fulltime

Senior Manager, Product Management - AI/ML

Senior Manager, Product Management - AI/ML at Capital One. Product Management at...

Location

United States , Chicago, Illinois; San Francisco, California; New York, New York; Cambridge, Massachusetts; McLean, Virginia

Salary:

175500.00 - 240300.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 5 years of experience working in Product Management
Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
Currently has, or is in the process of obtaining a Master's Degree in a quantitative field or an MBA with a quantitative concentration
Experience translating business strategy and analysis into consumer facing digital products
At least 5 years of experience in Agile product management
At least 5 years of experience translating business strategy and analysis into consumer facing digital products
At least 5 years of experience with Machine Learning technologies
At least 5 years of experience building products for data scientists, machine learning engineers or model risk officers
At least 1 year of Fintech experience

Job Responsibility

Own the 0-1 strategy and creation of an enterprise customer data product used to incorporate more holistic customer context into high leverage decisioning
Collaborate with a cross-functional team to scope, prioritize, and build
Work with internal customers to drive adoption
Demonstrate proficiency in five key areas: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, Transformational Leadership

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

AI Technical Product Manager

Lead development and implementation of complex information technology projects t...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g. Agile) and software
Demonstrated cross-functional project management experience
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Attitude that supports an Agile working environment
Master's degree in Computer Science, Engineering, Data Science, or related technical field
Experience with large language models, prompt engineering, or RAG systems

Job Responsibility

Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
May manage a number of projects simultaneously
Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Partner with engineering teams to prioritize features and manage the development lifecycle

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Arrive, you will serve as a key technic...

Location

United States , Austin

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with ML ops, model serving and optimization
5+ years of experience with Python, object oriented programming and building highly scalable backend services
Expertise in frameworks like Sklearn, Pandas, Numpy
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for ML engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers
Develop a thorough understanding of a domain and explain the behavior of and contribute to code bases that may be outside your domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices

What we offer

Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours and more
Casual dress code
Convenient location close to the airport and downtown
Free on site parking
Fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through Employee Assistance Program

Fulltime

Strategic Customer Success Manager

As a Strategic Customer Success Manager, you will partner with frontier AI model...

Location

United States , New York

Salary:

180000.00 - 240000.00 USD / Year

Prolific

Expiration Date

Until further notice

Requirements

6+ years in a customer-facing strategic or enterprise customer success (and/or leadership) role, ideally in a business where value is aligned with increased consumption
Experience developing strategic success plans and orchestrating cross-functional dynamics to drive positive outcomes with customers
Operational rigor and experience forecasting consumption to identify opportunities, mitigate risk, and measure growth
Demonstrated success with navigating large organizations, driving adoption and expansion, and cultivating executive relationships/sponsorship
Strong business acumen and ability to interface with senior customer stakeholders (C-Suite, VP, research leads) as well as technical teams (engineers, data scientists, product owners)
Fundamental understanding of AI, machine learning, LLMs, or similar concepts—enough to speak credibly about research use cases and value levers
Desire to play an influential role in a rapidly growing, innovative business—contributing, sharing ideas and expertise, and helping elevate the team around you

Job Responsibility

Partnering with frontier AI model creators to ensure the success of their research initiatives, human data/feedback programs, and quality assurance benchmarks
Serving as a trusted advisor—translating research and business objectives into actionable strategies for Prolific’s platform and services to achieve
Lead business reviews and executive engagements with clients, building case studies and advocacy stories that highlight how Prolific is driving frontier AI research for them
Drive continuous improvement of success playbooks, processes, and customer-facing resources, replicating best practices in usage-based models and research workflows
Spending time face-to-face with customers and with peers in the San Francisco office—collaborating, learning, and growing together in service of shared outcomes

What we offer

competitive salary
benefits
remote working
impactful, mission-driven culture
equity
opportunity to earn a cash variable element, such as a bonus or commission

Fulltime

New

Account Executive

At Currys we’re united by one passion: to help everyone enjoy amazing technology...

Location

United Kingdom , West Thurrock

Salary:

13.86 GBP / Hour

Currys

Expiration Date

Until further notice

Requirements

Experience working with customers either in a retail or B2B environment (or both!)
The drive to achieve targets and exceed customer expectations
An eagerness to learn about the latest technology
To be confident working in a team.

Job Responsibility

Making every customer interaction memorable
Asking the right questions to match business customers with products
Building and maintaining a network of local business owners
Growing new business relationships and developing accounts
Contributing towards the overall sales performance of the store
Being aware of local competitor activities and suggesting ways to stay ahead.

What we offer

30 days of annual leave (including bank holiday entitlement)
Competitive pension scheme
Monthly performance-related bonus
Product discounts on the latest tech
A range of wellbeing initiatives.

Parttime

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Manager, Data Scientist - Model Risk Office

Job Description

Job Responsibility

Requirements

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