Cloudera Data Platform Reference Architecture Jobs in Usa

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.

The Role:

The MEP Estimator is responsible for developing cost estimates for Mechanical, Electrical, and Plumbing (MEP) systems in various construction projects. This position involves collaboration with project managers, design teams, subcontractors, and vendors to ensure accurate budgeting and project forecasting for large-scale projects. The MEP Estimator plays a key role in the preconstruction process, contributing to informed decision-making and ensuring projects are completed on time and within budget.

Responsibilities:

• Prepare detailed MEP estimates (Mechanical, Electrical, Plumbing) for construction projects in the Mission Critical sector, in particular Data Centers
• Analyze project drawings, specifications, and addenda to determine project scope and required materials, labor, and equipment.
• Collaborate with internal teams (project management, engineering, procurement) and external parties (architects, subcontractors, vendors) to develop accurate cost estimates.
• Solicit and evaluate pricing from MEP subcontractors and suppliers to ensure competitive and complete estimates.
• Prepare cost comparisons and value engineering options to optimize project efficiency and reduce costs without compromising quality.
• Track and monitor market trends, material pricing, and labor costs to ensure estimates are current and competitive.
• Provide risk analysis and identify potential project challenges related to MEP systems and budgets.
• Participate in client and team meetings to present estimates, address questions, and explain cost drivers.
• Support bid submissions and negotiate with subcontractors/vendors as needed.
• Maintain and update estimating databases, templates, and historical cost data.

Qualifications:

• Bachelor's degree in Mechanical, Electrical, or Civil Engineering, Construction Management, or a related field (or equivalent experience).
• 5+ years of experience in estimating MEP systems for construction projects.
• Strong understanding of MEP systems, codes, and construction methods.
• Proficiency in estimating software (e.g., OST, Bluebeam) and MS Office Suite.
• Knowledge of market conditions and pricing trends for MEP materials and labor.
• Excellent analytical, mathematical, and problem-solving skills.
• Strong communication and negotiation skills to collaborate with clients, subcontractors, and team members.
• Ability to work independently and meet deadlines in a fast-paced environment.
• Attention to detail and a commitment to accuracy in estimates and forecasts.
• Experience with design-build and preconstruction phases for large-scale commercial projects and familiarity with BIM (Building Information Modeling) processes and technologies a plus.

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

Position: Production Data Analyst

Compensation: $70,000 - $90,000 annually, depending on experience

Location: Catoosa, Oklahoma

Inceed has partnered with a great company to help find a skilled Production Data Analyst to join their team!

Step into a dynamic and innovative environment where your analytical skills will drive manufacturing excellence. This role offers the opportunity to forecast demand, optimize resources, and collaborate across departments to streamline production processes. Join a team committed to minimizing costs and enhancing efficiency in a thriving industry.

Key Responsibilities & Duties:

• Analyze production specifications to optimize manufacturing processes
• Develop and maintain production schedules
• Coordinate with procurement and logistics for timely material availability
• Monitor production progress and adjust schedules as needed
• Prepare reports on production performance and cost analysis
• Resolve operational issues impacting production timelines
• Conduct cost-benefit analyses for proposed changes
• Ensure compliance with safety and quality standards

Required Qualifications & Experience:

• Bachelor’s degree in Industrial Engineering or related field
• 2-3 years data analytics experience
• Experience in manufacturing, distribution, or logistics
• Proficiency in production planning software
• Strong analytical and problem-solving skills

Nice to Have Skills & Experience:

• Proficiency in Business Intelligence platforms like PowerBI
• Experience in supply chain environments
• Ability to manage multiple priorities in a fast-paced setting

Perks & Benefits:

• Health, Dental, Vision insurance
• PTO 
• 401k plan

If you are interested in learning more about the Production Data Analyst opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time.

We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We’re here to help every person, whether client, candidate, or employee, find and secure what’s better for them.

Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

SERVICE DESK ENGINEER (WA/OR/ID)

CANDIDATES MUST BE LOCAL TO THE SERVICE AREA AND BE LEGALLY AUTHORIZED TO WORK IN THE UNITED STATES ON A FULL-TIME BASIS – INTERNATIONAL CANDIDATES NEED NOT APPLY

Since 1993, Right! Systems, Inc. (RSI) has been providing exceptional solutions and uncommon expertise to help our customers achieve lasting benefits. As a multi-vendor systems integrator, we maintain high-level certifications with key technology partners for one reason: our customers.

We are seeking a talented individual for the role of Service Desk Engineer. This is a full time position. Candidates must live in the service area and report to one of our corporate office locations as needed to perform job duties. This role reports to the Service Desk Manager.

You will be working on a team of highly skilled technicians and engineers across a wide range of disciplines, representing solutions from Cisco, Juniper, HPE, Aruba, Palo Alto, Fortinet, and more. Your role is to ensure that industry best practices and methodologies are applied to the deployment, integration, and operational support of our customer environments. This is a great opportunity to build your IT career while working on exciting technologies and environments.

Work schedule is typically Monday through Friday from 8am to 5pm in-office or onsite with rotational on-call scheduling for work after-hours and on weekends.

Duties/Responsibilities

• Build and maintain deep technical expertise across datacenter technologies including virtualization, Windows Server, storage, backup/DR, datacenter networking, and identity/core services (AD/DNS/DHCP).
• Resolve complex, multi-layer support incidents involving availability, performance, recoverability, and security across compute, storage, virtualization, and infrastructure services in a multi-customer MSP environment. Work from RSI offices to diagnose and resolve both emergency and chronic problems related to availability, security, performance, connectivity, and overall functionality.
• Partner with Service Desk, Network, Security, and Projects teams to deliver customer outcomes and improve service maturity through standardization, documentation, and automation.
• Attend or participate in various product training sessions and classes in order to broaden your skillset while maintaining RSI’s vendor relationships
• Meet with customers to discuss and outline new approaches and configurations that improve and enhance their current environments
• Other work-related duties as assigned

Qualifications/Requirements

1-3 years of equivalent technology experience

Able to demonstrate associate level expertise or equivalent certification level in one or more of the following areas:

• Datacenter / Virtualization
• VMware vSphere/ESXi/vCenter (preferred) and/or Hyper-V
• Compute platforms such as Cisco UCS and/or HPE
• Windows Server / Core Services
• Active Directory, DNS, DHCP, Group Policy
• General Windows Server administration and troubleshooting
• Storage / Backup / DR
• SAN/NAS concepts (iSCSI, snapshots, replication)
• Backup systems and restore validation / DR testing
• Cloud
• Azure / Entra ID integration, hybrid identity, M365 dependencies
• Hands-on experience supporting solutions from some of the listed vendors above
• Experience administering phone systems (Cisco, etc.) preferred
• Contact Center administration experience preferred
• Strong interpersonal, written, and oral communication skills
• Strong analytical and problem-solving skills
• Strong customer service orientation
• Candidate must be able to conduct research into issues and problems
• Candidate must be able to present ideas in user-friendly language
• Candidate must be highly self-motivated and self-sufficient
• Candidate must be able to effectively prioritize tasks in a high-pressure environment
• Candidate would either need to have a valid Driver’s license and vehicle insurance, or confirm their ability and means to report to the office daily on work days as scheduled, as an essential job function for this role.

Compensation/Benefits

Compensation $70-90k Annually DOE

RSI offers competitive salary, comprehensive benefits package that includes group medical, dental and vision insurance, 401(k), life insurance/LTD, and PTO (Paid Time Off) for vacation, sick and personal leave needs.

Right! Systems provides equal employment opportunity to all employees and applicants for employment without regard to race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related conditions, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.

Company Overview

For over 40 years, Health Monitor has been a nationally recognized, targeted healthcare marketing platform for the Pharma/OTC industry. Our in-house, award-winning content studio creates bespoke healthcare education that fosters more productive patient-physician dialogues at every point of care—we call it #TheHealthMonitorDifference. We have the largest proprietary physician office network in the industry, with over 250,000 offices and more than 450,000 healthcare professionals engaging with our omnichannel educational products. Health Monitor delivers premium point of care content that empowers patients and HCPs with trusted information to achieve the best health outcomes while driving impactful ROI for brands. Learn more at and follow us on LinkedIn, X, YouTube and Instagram.

Position Overview:

Health Monitor Network (HMN) is seeking a Vice President, Data Analytics, Research & Insights to run a focused, practical insights and measurement function. This role is accountable for demonstrating performance, impact, and effectiveness of HMN’s digital and point-of-care solutions, supporting client decision-making, and elevating the quality and consistency of analytics and reporting across the organization.

Success is defined by clarity of thinking, strong vendor orchestration, crisp storytelling, and disciplined execution.

Core Responsibilities:

1. ROI Measurement and Client Value Storytelling

• Own the partnership with third-party measurement providers like IQVIA, Symphony, Crossix etc., to conduct ROI and effectiveness studies.
• Translate study outputs into clear, credible, and compelling value stories for clients, sales teams, and executives.
• Ensure insights are framed around client objectives, decision points, and business impact rather than methodology.
• Support sales pitches, renewals, and QBRs with defensible performance narratives.

2. Digital Analytics, Insights, and Reporting Leadership

• Own HMN’s digital analytics and reporting function across screen, print, and digital products.
• Establish clear standards for metrics, dashboards, reporting templates, and insight delivery.
• Ensure consistency, quality, and timeliness of reporting across clients and campaigns.
• Coach and mentor the analytics and reporting team, raising the bar on analytical thinking and communication.
• Partner with Product, Sales, and Technology to improve how data is captured, interpreted, and operationalized.

3. Targeted Market Research to Support Point of Care Initiatives

• Lead fast, fit-for-purpose market research efforts to answer specific business questions and justify proof-of-concept investments.
• Determine when research is needed, what level of rigor is appropriate, and how to balance speed, cost, and insight.
• Manage external research vendors, panels, and tools as needed.
• Synthesize findings into concise recommendations that inform go-forward decisions.

Qualifications:

• 12+ years of experience in in analytics, research, insights, or measurement roles within healthcare, pharma, media, and an agency environment.
• Hands-on experience working with third-party measurement partners such as IQVIA, Symphony, Crossix, or similar.
• Strong understanding of digital and point-of-care measurement, performance metrics, and campaign reporting.
• Demonstrated ability to translate data and research into clear, persuasive business narratives.
• Direct experience in building novel data, digital and analytics capabilities, and leading analytics in support of critical strategic decisions around product or campaign optimization.
• Experience leading and developing small to mid-sized analytics or insights teams.
• Comfort operating in ambiguity and prioritizing effort against business impact.
• Bachelor’s degree required; advanced degree a plus but not required.

Nice to Have

• Exposure to MMM, attribution, or advanced statistical methods.
• Experience supporting new product launches or proof-of-concept initiatives.
• Background in both research and digital analytics environments.

Success in the First 90 Days Looks Like

• Clear ownership and operating rhythm established with IQVIA and other measurement partners.
• A sharpened, client-ready ROI and performance narrative aligned to HMN’s point-of-care and digital offerings.
• Assessment and standardization plan for analytics, reporting, and insight delivery across the team.
• Early wins delivering concise, decision-oriented insights to support active client conversations and Point of Care initiatives.

ADA- Physical Demands Office Position

We are committed to providing equal employment opportunities to all employees and applicants, including individuals with disabilities. If you require reasonable accommodation during the application or interview process, please let us know. We will work with you to ensure that your needs are met in accordance with the Americans with Disabilities Act (ADA) and other applicable laws. While performing the duties of this job, the employee is frequently required to sit; use hands to finger, handle, or feel objects, tools, or controls; talk and hear. The employee regularly is required to walk and reach with hands. Employees frequently use computer keyboards, regularly travel both short and long distances via walking within the work site. The employee must regularly lift and/or move a laptop computer. Specific vision abilities required by this job include close vision, peripheral vision, depth perception, and the ability to adjust focus. Employees view computer monitors frequently.

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jan 12, 2027 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.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

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

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 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: June 10, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Nov 25, 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 College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About CDSS:

Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.

CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.

CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities:

CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.

Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

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

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 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).

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
  

This is a pure-play commercial real estate role with one of the most active transactional real estate practices in the Southwest.

The firm is seeking a 5th–6th year associate or more senior (ideally ~8 years post-JD for lending independence) who can handle sophisticated acquisitions, dispositions, leasing, and lender-side finance work.

Hybrid structure: Minimum 4 days per week in-office (Downtown Dallas).

The Role

• Acquisitions and dispositions for private equity funds and major landlords
• Complex commercial leasing
• Lender-side loan document negotiation (minimal supervision for senior hires)
• Multistate transactions (West Coast, Southeast, national footprint)
• Exposure to large-scale, institutional deals

This is strictly commercial real estate. No residential work.

Why This Opportunity Stands Out

• One of the largest and most active commercial real estate and lending practices in the Southwest
• 20+ year data center practice representing major national players
• Nationwide transactional exposure beyond Texas-centric deals
• ~30 attorneys total, ~17 in real estate — substantial platform without BigLaw bureaucracy
• Hands-on, strategic business counsel for sophisticated clients
• Growth-oriented environment with real responsibility

Compensation & Structure

• $200,000–$300,000 depending on seniority and capability
• Hybrid policy (4 days in-office minimum)
• Significant independence for senior associates
• Long-term growth within a commercial-focused platform

Ideal Background

• 5+ years of commercial real estate transactional experience
• Strong experience in acquisitions, dispositions, and leasing
• For lending-focused candidates: ability to negotiate loan documents independently
• Comfortable with multistate or nationwide transactions
• Texas Bar admission
• Interested in sophisticated business law within a mid-sized, strategic firm

Open date: July 1, 2025

Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 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 Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.

We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.

Teaching Responsibilities:

STATISTICS 2: Introduction to Statistics

STATISTICS C8: Foundations of Data Science

STATISTICS 20: Introduction to Probability and Statistics

STATISTICS 21: Introduction to Probability and Statistics for Business

STATISTICS 33A: Introduction to Programming in R

STATISTICS 33B: Introduction to Advanced R

STATISTICS 88: Probability and Mathematical Statistics in Data Science

STATISTICS C100: Principles and Techniques of Data Science

STATISTICS 131A: Statistical Methods for Data Science

STATISTICS 133: Concepts in Computing with Data

STATISTICS 134: Concepts of Probability

STATISTICS 135: Concepts of Statistics

STATISTICS 150: Stochastic Processes

STATISTICS 151A: Linear Modeling: Theory and Applications

STATISTICS 153: Time Series

STATISTICS 154: Modern Statistical Prediction and Machine Learning

STATISTICS 155: Game Theory

STATISTICS 159: Reproducible and Collaborative Statistical Data Science

General Duties:

General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.

TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .

Department:

Division:

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::

Statistics Course Descriptions: courses/stat/

The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).

Additional qualifications include evidence of college level instructional experience.

Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.

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

  
  

• Cover Letter

  
  

• Statement of Teaching Philosophy and Experience

  
  

• Teaching Documentation - Teaching materials and/or student evaluations.

  
  

• Copy of Transcript (Optional)

  
  

• 2-3 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.
  
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• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment