Manager, Data Science - AI for Data Job at Capital One (San Jose, California)

Director, Data Science - AI for Work (AI4W) Ecosystem

AI for Work (AI4W) is Meta's company-wide effort to integrate AI into every tool...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

Senior Manager, Data Science - AI Foundations

Senior Manager, Data Science - AI Foundations. Data is at the center of everythi...

Location

United States , McLean; New York; San Jose

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics
Currently has, or is in the process of obtaining a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
Currently has, or is in the process of obtaining a PHD in a 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 to deliver AI powered products that change how developers write software
Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows
Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features
Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems
Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance

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

Engineering Manager (Data Science & AI)

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...

Location

India , Bangalore

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

12+ years of overall industry experience
3+ years in building and managing highly skilled development teams
ability to lead, coach and influence teams
good understanding of Data science & usage of AI and AI agents
deep understanding in Java, Microservices & Multithreading
experience in developing scalable, concurrent, low-latency, fault tolerant systems
strong track record of leading and managing the delivery of software development products
previous experience in working with other international R&D, product management and support teams
proven knowledge in both architecture and implementation-level software design of high-scale distributed systems
ability to manage, track and identify risks, bottlenecks and challenges ahead of time

Job Responsibility

Lead a team of strong developers, working on large-scale, complex and cutting-edge systems
manage the development and delivery of complex features from design to production according to product requirements
ensure that risks and issues are identified and managed closely while driving all stakeholders to deliver on time and to the required quality standards
build a strong development team that can work independently and at the same time will collaborate with other international R&D teams
coordinate team activities with product managements, support, and other interfaces

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Data Science Manager - Product AI

We are looking for a passionate and driven Data Science Manager to join us in th...

Location

Portugal

Salary:

Not provided

Feedzai

Expiration Date

Until further notice

Requirements

2+ years of Team Leading and/or Management experience in managing technical projects and DS/ML teams
3+ years of experience in applied ML
5+ years of experience in data science
Capable of leading by example not being afraid to take risks and going beyond what’s expected

Job Responsibility

Manage one team of data scientists/machine learning engineers from daily execution to performance and career management
Lead by example, care for your team, and establish credibility with the quality of your and your team's technical execution
Provide technical leadership to the team from driving architecture, design, and experimental setups up to doing code reviews
Be responsible for the planning, execution, and success of technical projects
Work with key stakeholders across all groups within the Engineering, Product, Research, and Customer Success Teams
Develop and empower top-class data science and technology practices in the teams
Closely work with the recruiting team to find and interview data scientists

Cloud Solution Architect Manager (CSA Manager) - Data & AI

The International Customer Success Organization (iCSU) mission is to incubate, d...

Location

Brazil , São Paulo

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years' experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect manager
proficiency in written, reading, and conversational Brazilian Portuguese and English

Job Responsibility

You will deliver success through empowerment and accountability by modeling, coaching, and caring as well as build and grow healthy teams that incorporates a mix of expertise across key workloads through talent management, diversity and inclusion and career development while inspiring and fostering a culture of customer-centricity and consumption, adoption and use through collaboration with peers and extended teams using the Demonstrated Capability Framework
You will coach team to represent the customer/partner to internal teams (e.g., Engineering) to shape products and services, and supports the team in providing insights across the territory and drive the team to leverage feedback to develop strategic and actionable insights and influence product roadmaps by presenting business cases to program managers
You will drive adherence to Microsoft standards and recommended practices by setting expectations for the team around methodology and governance and lead your team to utilize “Well-Architected” framework, for consistent delivery of performance, security, scalability, maintainability, and reliability
You will support the team on removal of blockers and proactively identify and propose resolutions through regular technical reviews to accelerate solution implementations. Identifies patterns in blockers across business areas or territory
You will manage the business (e.g., scorecards, forecasting) by delivering against team targets, achieving business metrics, and ensuring the team delivers on Microsoft's Customer Commitments. Leverage Microsoft and industry insights to position engagement offerings and to fuel new cloud growth with top customers and industry opportunities
You will foster a continuous technical self-learning culture and community sharing of stories by encouraging and empowering the team to share learnings. Leverage market and engagement insights to assist leadership in defining area vision, prioritizing teams' skilling and engagements
You will model how to engage constructively and transparently with the technical and/or business community locally and globally as you participate in management communities and foster a culture of fast and effective learning at all levels and accelerate innovation by coaching teams on delivering best practices IP and providing feedback or modifying intellectual properties (IPs) rooted in domain expertise and/or industry acumen

Fulltime

New

Director, AI & Data Strategy - Technical Product Management for Responsible AI - Commercialization

As a Director level Technical Product Manager for Responsible AI within the AI G...

Location

Singapore , Singapore

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

A strong academic background in Computer Science, Data Science, Engineering, Mathematics, Statistics, or equivalent practical experience
Hands on experience building, testing, approving, and deploying data science or AI systems including post deployment lifecycle management
Demonstrated success delivering production grade AI platforms or tooling intended for external use
Experience working directly with external stakeholders such as customers, government agencies, regulators, vendors, or systems integrators
Proven ability to operate in ambiguous environments, drive decisions through influence, and communicate clearly with both technical and non technical audiences
Technical Skills
Experience building or scaling Responsible AI or AI governance tooling for external use
Experience designing or integrating governance capabilities including monitoring, documentation, approval workflows, and lifecycle controls
An understanding of the responsible AI marketplace and key products within the domain
Long term work eligibility for Singapore

Job Responsibility

Technical Product Management Responsible AI Commercialization
Collaborate with internal teams to define the productization strategy for Responsible AI tooling, evolving internal platforms and prototypes into sellable products or consulting accelerators
Define and manage technical product requirements including epics, acceptance criteria, and dependencies with an explicit focus on external usability, operability, and governance defensibility
Establish product standards for commercial readiness including documentation, audit evidence, configuration guidance, versioning, and support and operating models
Translate complex data science and Responsible AI concepts into clear client ready value propositions and provide precise direction to engineering teams
Track outcomes and adoption signals to identify when Responsible AI tools or services require refinement, modularization, repositioning, or retirement
Solution Architecture Deployable and Client Ready Responsible AI
Engage directly with customers, government agencies, regulators, and partners to understand deployment environments, security models, regulatory requirements, and operational constraints
Design end to end Responsible AI by design systems that integrate data pipelines, models or large language models, orchestration layers, APIs, monitoring, human oversight, and documentation
Translate governance and regulatory expectations into implementable system designs with clear operational controls, accountability, and evidence generation

Fulltime

Senior Manager, Data Science

The Walmart Last Mile team is shifting from reactive tracking to proactive resol...

Location

United States , Bentonville

Salary:

110000.00 - 220000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Expert-level fluency in Python and SQL
Strong hands-on experience with PySpark
Advanced proficiency with Git management
Experience writing and enforcing Unit Tests (pytest/unittest) and Integration Tests
Experience implementing monitoring solutions to detect Data Drift and Model Decay in production
Ability to apply causal frameworks to observational data
Deep knowledge of time-series modeling and outlier detection methods
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Job Responsibility

Architect the System Strategy: Define the end-to-end framework for our proactive agent, deciding how we integrate Anomaly Detection, Causal Inference, and Forecasting into a cohesive system
Lead Code Quality & Reviews: Act as the gatekeeper for the codebase
Model Observability: Design and implement ML Monitoring frameworks to track model performance, data drift, and concept drift in real-time
Technical Mentorship: Lead the team through design docs and methodology selection
Drive Causal Innovation: Spearhead the application of Causal AI
Hands-On Development: Write high-performance Python and PySpark code

What we offer

Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting

Fulltime

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Manager, Data Science - AI for Data

Job Description

Job Responsibility

Requirements

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