E Frontiers Jobs in Usa

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are looking for you - dynamic, best-in-class talent - to join the growing Commerce team as a Manager. In this role you will be responsible for managing Sr. Associates & Associates and supporting in the development, planning, buying, executing and measuring media plans for designated shopper/commerce media clients. You will support the Associate Director/Director in the strategic and tactical development of each retail plan. You'll work closely with national Planning and Buying teams to allow for holistic Commerce media function.

The Commerce team is a specialty group that focuses on the planning, buying, execution and measurement of Commerce media. Commerce media is any specific media elements that are retailer focused/tagged. This can be in-store signage such as a coupon machine or shelfblade, a billboard driving shoppers to a Walmart store, digital ads (search, display, OLV/STV, etc) on Amazon or site via managed or self service, tapping influencers that support certain retailers or working with shoppable technology companies to ensure ease of conversion. The team supports client's commerce/shopper/customer marketing teams-our end goal measuring product sales both online and in-store.

Who You Are

A passionate and driven professional, you excel at translating client business objectives at the senior level into Commerce daily tactical execution, to drive sales online and in-store. You're ready to challenge the status quo to produce world-class campaigns for high profile brands and take pride in your ability to clearly articulate the outcomes of the tactics and the strategy to the client as the day-to-day client lead. You thrive in a multi-functional role and enjoy training and coaching team members to ensure flawless tactical execution.

Retail Media Knowledge

o Knowledge of multiple retail media networks & their platforms, may include Amazon, Walmart, Roundel, Kroger, etc.

o Seasoned experience with self-service search platforms for both retailer specific (e.g. WMC, Roundel Media Studio, etc.) as well as aggregators (e.g. Criteo, Citrus, Pacvue, Skai, etc.)

o Comfortable and knowledgeable with D2C platforms (e.g. Google, Bing, Shopping, etc.)

o Understands individual RMN capabilities across tactic, targeting, reporting methodology, etc.

* Account Management & Strategy

o Active participant in development, presentation, management and measurement of omnichannel commerce media programs and defines program objectives and strategies consistent with brand marketing objectives

o Ensures strategic consistency across all elements of plan development and implementation

o Participates in and guides Senior Associate during campaign buildout inclusive of keywords/targeting. Coaches Senior Associate campaign creation and search strategy to get best plan for client

o Takes learnings from previous campaigns and apply to next campaign

o Proactively identifies growth opportunities and shares ideas for potential test and learns

o Delivers an effective detailed media plan, inclusive of tactics, audiences, flighting, KPIs, etc. that drives client performance

o Contributes to the creation of client ready materials (e.g. presentations, reporting, etc) and delivers client communications

o Serves as first check for client documents ensuring accuracy and ease of understanding information

o Ability to tailor client presentations to the audience (i.e. Senior Level vs. Junior Level)

o Supports in establishing and implementing best practices within client accounts

o Ability to assess and rank issues and tasks in order of importance for taking action and escalating as needed

o Anticipates, recognizes, and clearly defines problems using various techniques to systematically analyze, weigh alternatives and propose solutions

o Work with Senior Associate to update any status documents and timelines whether internal or client facing. Responsible for ensuring all tasks are captured and tracking toward completion

o Implements team and client centric processes to ensure accuracy of all deliverables (e.g. client documents, budget stewardship/management/client billing), improve overall team performance and minimize risk of human error through consistent implementation of QA guardrails

* Execution

o Supervises buying process and stewardship for media programs to ensure original objectives are being met

* Oversees and participates when needed in daily campaign & budget management including optimizations

o Oversees and assists Senior Associate with building campaigns within relevant search platforms. Responsible for ensuring campaigns are built out correctly within platform

o Oversees coordination of creative assets between client, creative agencies and partners

* Provides copy ideas for specific campaigns when appropriate

o Monitors pacing to ensure delivery is appropriate and aligned to campaign flighting for both managed and self service campaigns

o Measures media performance at all stages to ensure original objectives and strategies are being met to client satisfaction

o Development, execution and testing across campaign variables that create client specific insight and drive future testing opportunities

o Oversees analysis and reporting of data on daily/weekly/bi-weekly/monthly & ad-hoc basis

* Supports Senior Associate with pulling data from self service platforms as needed

* Turns insights into long term action by highlighting clear flow of cause, effect and next steps

o Maintains client and industry benchmarks for point of comparison when evaluating campaign performance

o Responsible for assisting Senior Associate in clearing billing with finance team

* Relationships

o Oversees day-to-day relationship with media partners and leads negotiation of commerce media for specific programs, where applicable

o Works cross-functionally with national planning & investment, ad operations, product, reporting, analytics, finance and other groups across the account

o Maintains client relationships and ensures timely creation & delivery of work

o Assists in managing team performance to achieve desired results based on defined roles and responsibilities for the Associates & Senior Associates

* Training/Development

o Ensures knowledge sharing across internal teams, open communication & provides thought leadership

o Identifies & builds functional expertise or knowledge in a relevant, unique & specific media area, including commerce media expertise

o Aware of knowledge level and experience of Senior Associates and Associates. Ability to spend extra time where needed to develop direct reports

* Industry Knowledge

o Seeks out information to remain current on media trends and shares with team members with relevant implications/potential opportunities

o Understands client business objectives and connections to day to day work

o Support team in development of thought leadership and innovation deliverables

* Strong working knowledge of commerce industry and platforms including major retailers and supporting technology (e.g. Amazon Ads, Walmart Connect, Roundel, Pacvue, Skai, Criteo, Citrus, etc.)

* Proven knowledge of media planning & planning with use of research tools and resources

* Proven ability to understand high level client goals and how they translate into commerce strategies

* Proven experience in writing and presenting relevant information to client audience

o Can carry conversations with clients easily

* Knowledge with industry tools such as MediaTools, Prisma, etc

* Bachelor's degree or equivalent experience

* 3+ years of working experience required, with 1+ years experience in a people manager role; strong ability to delegate, train, and support direct reports

* 2+ years of commerce experience working across multiple retailers preferred

* Experience in web analytics, ad tracking and other biddable media (e.g. paid search)

* Ability to manage team, both upwards and downwards, to ensure cross team communication

* Excellent written and verbal communication skills and proven problem-solving ability

* Self- sufficient and proactive

* Project management; effectively managing multiple projects and meeting tight deadlines in a fast-paced environment. Time management and project management skills are critical

* Proficient in Microsoft Office (Excel, PowerPoint, etc.) and excellent quantitative analysis skills

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please .

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

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• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

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• The Business Systems Analyst (BSA) will support client's enterprise Identity & Access Management (IAM) transformation. This includes:
  
• WIAM migration activities (metadata and certificate updating, coordination with client applications, etc)
  
• PingFederate to PingOne Advanced Identity Cloud (AIC) modernization
  
• Access governance improvements (who has access to what, and why)
  
• Cross?platform identity initiatives spanning Security Services
  
• This role bridges business needs and engineering delivery by ensuring work is clearly defined, well documented, properly tracked, and delivered with strong testing and governance.
  

• 
  
• SAML certificate lifecycle coordination
  
• SAML = Security Assertion Markup Language (a standard for single sign-on)
  
• Coordinating certificate rotation across multiple applications, environments, and vendors
  
• Tracking owners, dates, dependencies, and cut over steps in structured trackers (e.g., Excel)
  
• SAML connection migration planning and execution support
  
• Helping move Identity Provider (IdP) connections from legacy federation to modern platforms
  
• IdP = Identity Provider (system that authenticates users)
  
• Migration readiness and execution tracking
  
• Requirements capture, integration mapping, status reporting, and risk/dependency management
  
• Documentation at scale
  
• Maintaining living runbooks and migration guidance in Confluence
  
• Keeping Jira work items audit-ready with clear ownership and due dates
  

• 
  
• IAM Program & WIAM Migration Support
  
  
  • 
    
  • Support engineering teams migrating PingFederate connections to PingOne Advanced Identity Cloud (AIC) and Microsoft Entra ID
    
  • Entra ID = Microsoft's cloud identity service (formerly Azure AD)
    
  • Track milestones and deliverables across workstreams, including:
    
  • Certificate updates and expirations
    
  • RBAC updates
    
  • RBAC = Role-Based Access Control (access is granted by role)
    
  • Compliance-driven tasks and evidence
    
  • Coordinate dependencies across multiple IAM workstreams to prevent bottlenecks
    
  • Conduct impact analysis of technology changes on business processes and IAM systems
    
  • Provide system and business process support across multiple IAM program engagements
    
  
  
  
• Business Analysis & Delivery Coordination
  
  • 
    
  • Plan, elicit, capture, analyze, and validate requirements for IAM initiatives:
    
  • Business requirements (what is needed)
    
  • Functional requirements (what the solution must do)
    
  • Technical requirements (how it integrates and operates)
    
  • Document and assess current-state IAM processes, integrations, and access models
    
  • Maintain rigorous Jira notes including:
    
  • Ownership, due dates, constraints, risks, dependencies, and decisions
    
  • Maintain accurate, iterative Confluence documentation for all IAM projects
    
  • Assist with data models and interface specifications where needed for IAM systems
    
  • Log system and process changes using approved change management tools (e.g., FastTrack)
    
  • Ensure IAM changes are properly tested before deployment
    
  • Coordinate UAT and functional testing
    
  • UAT = User Acceptance Testing (business confirms the solution meets needs)
    
  
  
  
• Meeting & Stakeholder Management
  
  • 
    
  • Facilitate discussions between engineering, security architecture, business stakeholders, and program leadership
    
  • Support collaborative system and data design sessions with users and technical teams
    
  • Coordinate meetings responsibly (e.g., avoid conflicts with Agile ceremonies)
    
  • Summarize meetings with clear action items and track accountability
    
  • Present complex IAM options and tradeoffs in a clear, decision-supporting way
    
  
  
  
• ???Quality, Documentation & Governance
  
  • 
    
  • Ensure IAM changes and access-control updates are properly authorized by management
    
  • Handle confidential identity-related information professionally and securely
    
  • Support compliance needs, including IAM controls, audit readiness, and certificate expiration management
    
  • Ensure documentation is clear, complete, current, and aligned to corporate standards
    
  • Adhere to corporate policies, procedures, and IAM governance requirements
    
  
  
  

• 
  
• Core Experience (Required)
  
  • 
    
  • Proven experience (1+ years) as an IT Business Analyst / Business Systems Analyst supporting complex corporate environments
    
  • Extensive experience with large scale migrations or updates across multiple organizations and third party vendors
    
  • Hands-on experience with IAM concepts and platforms, such as:
    
  • Federation and SSO
    
  • SSO = Single Sign-On (one login for multiple apps)
    
  • SAML and certificates
    
  • RBAC
    
  • Directory technologies (e.g., LDAP/AD concepts)
    
  • Strong understanding of SDLC and testing methods
    
  • SDLC = Systems Development Life Cycle (plan build test deploy support)
    
  • Demonstrated ability to manage and track multiple simultaneous workstreams with high attention to detail
    
  
  
  
• Technical & Analytical Skills (Required)
  
  • 
    
  • Strong Excel skills for tracking plans, owners, timelines, and dependencies
    
  • Ability to review/analyze data sets and system outputs; familiarity with ODBC is a plus
    
  • ODBC = Open Database Connectivity (standard way to connect to databases)
    
  • Ability to produce process documentation that is structured and easy to follow
    
  • Strong experience with Scrum/Agile delivery tools (e.g., Jira and Confluence)
    
  
  
  
• Behavioral & Professional (Required)
  
  • 
    
  • Strong stakeholder management and the ability to influence with data-driven reasoning
    
  • Highly organized multitasker with attention to detail
    
  • Energetic, engaging, and collaborative working style
    
  • Demonstrates professionalism and ethical conduct in all interactions
    
  
  
  
• Education / Background
  
  • 
    
  • BA/BS in Business, Computer Science, or related field OR equivalent experience (e.g.,
    
  • 10+ years comparable experience)
    
  • Compliance familiarity (security, audit, access control) strongly preferred
    
  • Prior experience in Identity & Access Management, Security, or similar field
    
  
  
  

• 
  
• Required (Day 1 Readiness)
  
  • 
    
  • Jira (work tracking, user stories, acceptance criteria)
    
  • Confluence (documentation, runbooks, migration guidance, decision logs)
    
  • Servicenow (ticketing and request flows)
    
  • Excel (tracking owners, dependencies, milestones, certificate rotations, cutover plans)
    
  • SAML / certificates (baseline understanding of certificate rotation impacts and coordination)
    
  • Working knowledge of at least one identity platform:
    
  • PingFederate (legacy federation) and/or
    
  • PingOne Advanced Identity Cloud (AIC) and/or
    
  • Microsoft Entra ID
    
  
  
  
• Nice to Have (Accelerators)
  
  • 
    
  • Visio / Miro (process flows, integration diagrams)
    
  • Splunk familiarity or other log query experience
    
  • SharePoint (document management / collaboration)
    
  • Microsoft Project / Project Server (formal project plans and dependencies)
    
  • Change management tooling (e.g., FastTrack)
    
  • Scripting familiarity (e.g., Python) for light automation or data validation
    
  • eCommerce domain exposure (rare, but beneficial in some integration scenarios)
    
  
  
  

• 
  
• Preferred
  
  • 
    
  • Security/IAM adjacent certification (any of the below are helpful)
    
  • CISSP
    
  • Security+ (baseline security knowledge)
    
  • Identity-focused training/certificates (Ping/Microsoft identity learning paths)
    
  
  
  
• Nice to Have
  
  • 
    
  • CBAP / CCBA (IIBA Business Analysis certifications)
    
  • CBAP = Certified Business Analysis Professional
    
  • CCBA = Certification of Capability in Business Analysis
    
  • Agile certification (CSM, PSM, or equivalent)
    
  • CSM = Certified ScrumMaster
    
  • PSM = Professional Scrum Master
    
  • Cloud fundamentals (Azure fundamentals or similar)
    
  • Testing certifications (ISTQB or equivalent)
    
  • ISTQB = International Software Testing Qualifications Board
    
  
  
  

Open date: March 5, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Apr 10, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

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UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment