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<h3>Job Description</h3>
Job DescriptionThe Lehigh Valley Justice Institute at United Way GLV is a nonpartisan research, policy, and advocacy program working to develop and promote a reimagined justice system that is equitable and fair for all communities. LVJI employs a data-driven approach focused on the criminal justice processes within the Lehigh Valley area of Pennsylvania. We believe that solutions borne in the Lehigh Valley, due to the region’s unique and diverse political, economic, and demographic climates, are portable in nature and can thus be applied to communities throughout the United States. At LVJI, we understand you are a student and are still learning. We believe internships are opportunities to learn how to apply what you’ve learned in the classroom to real-world scenarios. We are committed to providing an internship experience that grows your skills, introduces you to the professional workforce, and bolsters your career in a nurturing environment. If you want to work on a real project, start your professional journey, and make some real change, we’d love to hear from you! Benefits Professional Development Responsibilities The Lehigh Valley Justice Institute (LVJI) at United Way of the Greater Lehigh Valley (UWGLV) is looking for Research Interns to study the effect of technology in K-12 classrooms. This hands-on project includes an intense literature review, synthesizing research and best practices, and writing a final research report. Interns will review published and unpublished academic literature on the impact of technology on child learning and produce a set of best practices. At the end, there may be internal presentations or presentations to local committees or organizations. We hope to answer the following research questions. What effects does integrating cell phone, tablet, laptop, etc., technology have on student learning in K-12 classrooms? Is there a “sweet spot” of technology integration that best facilitates learning? What are the best practices of integrating technology into K-12 classrooms? Responsiblities: Attend meetings with supervisors and team members Conduct literature searches to answer the research questions Execute basic data analysis as needed Add/modify research questions as needed Write a report describing research procedures, results, and interpretation Communicate and collaborate with other interns or team members Requisition #cmfe4kb2sx6o20jo5xdtj1jni

Research Intern - Technology in Classrooms - Virtual/Remote

<h3>Job Description</h3>
Job DescriptionThe Lehigh Valley Justice Institute at United Way GLV is a nonpartisan research, policy, and advocacy program working to develop and promote a reimagined justice system that is equitable and fair for all communities. LVJI employs a data-driven approach focused on the criminal justice processes within the Lehigh Valley area of Pennsylvania. We believe that solutions borne in the Lehigh Valley, due to the region’s unique and diverse political, economic, and demographic climates, are portable in nature and can thus be applied to communities throughout the United States. At LVJI, we understand you are a student and are still learning. We believe internships are opportunities to learn how to apply what you’ve learned in the classroom to real-world scenarios. We are committed to providing an internship experience that grows your skills, introduces you to the professional workforce, and bolsters your career in a nurturing environment. If you want to work on a real project, start your professional journey, and make some real change, we’d love to hear from you! Benefits Professional Development Responsibilities The Lehigh Valley Justice Institute (LVJI) at the United Way of the Greater Lehigh Valley (UWGLV) is seeking Research Interns to investigate the impact of Federally Qualified Health Centers (FQHCs). FQHCs are community-based health organizations that provide comprehensive primary care, dental, and behavioral health services to underserved populations in the United States. Interns will review published and unpublished academic literature on the impact of these health centers on the populations they serve and produce a set of best practices. There may be internal presentations or presentations to local committees or organizations. We are hiring 1-2 interns for this role. We hope to answer the following research questions. What effects do FQHCs have on underserved populations in removing barriers to care, improving mental health, or even downstream impacts on financial stability, housing security, or food security? Do these effects differ by population? Do some groups benefit more from FQHCs than others, and if so, why? What is the current state of FQHCs? Can we identify any areas in the Lehigh Valley region that could benefit from an FQHC? What are the best practices for implementing and running FQHCs? Responsibilities: Attend meetings with supervisors and team members Conduct literature searches to answer the research questions Execute basic data analysis as needed Add/modify research questions as needed Write a report describing research procedures, results, and interpretation Communicate and collaborate with other interns or team members Requisition #cmfe51z91x6s90jo5vt8njzn5

Research Intern - Federally Qualified Health Centers - Virtual/Remote

<h3>Job Description</h3>
Job DescriptionCompany Description 
Specific information regarding this recruitment and position are listed below:
<ul>
<li>Application Opened: Thursday, September 4, 2025.</li>
<li>Application Deadline: Thursday,&nbsp;September 18, 2025, at 5:00 PM. PDT</li>
<li>Compensation: $165,334&nbsp;to $207,974&nbsp;Annually</li>
<li>Work Schedule: Full-time, 40 hours per week.</li>
<li>Work Location: San Francisco International Airport – ITT Division</li>
<li>Recruitment ID:&nbsp;RTF0157425 - 159180</li>
</ul>
APPOINTMENT TYPE: Permanent Exempt. This position is excluded by the Charter from the competitive civil service examination process and shall serve at the discretion of the Appointing Officer.
San Francisco International Airport (SFO), an enterprise department of the City and County of San Francisco, has a workforce of approximately 1,900 City employees and is committed to being a diverse, equitable, and inclusive employer.
SFO is more than an airport—we are a dynamic organization where employees collaborate with a wide range of stakeholders to support global travel, economic development, and public service. We are recognized as a leader in environmental sustainability, equity, and forward-thinking infrastructure, and continue to be at the forefront of transforming the travel experience.
Our mission is to deliver an airport experience where people and our planet come first.
Our Vision, Mission, and Core Values shape our culture and operations as we continue to build a supportive, purpose-driven workplace where all employees can thrive.
Learn more about careers at SFO at flysfo.com, and follow us on Facebook, Instagram, YouTube,&nbsp;LinkedIn, Bluesky and&nbsp;Threads.
Job Description 
​​Working under general administrative of the Information Technology and Telecommunications (ITT) Innovation and Solutions team reporting to Data Engineering/Data Science Manager. The Data Science Lead is responsible for big data analytics from a data science and data engineering perspective providing expertise in data manipulation, visualization, building and optimizing classifiers using machine learning and deep learning-based techniques.&nbsp; The goal is to optimize the guest experience at SFO to reduce costs for the airport to run its operations and increase revenue.​&nbsp;
You are excited about this opportunity because you will:
<ul>
<li>
Define the roadmap for integrating video analytics, structured and unstructured data, and Artificial Intelligence/Machine Learning (AI/ML) capabilities into business strategies.&nbsp;
</li>
<li>
Identify opportunities to leverage video data for insights, automation, and innovation.&nbsp;
</li>
<li>
Align data science initiatives with organizational goals, ensuring measurable business impact.&nbsp;
</li>
<li>
Lead the development of solutions for extracting insights from video, structured and unstructured data.&nbsp;
</li>
<li>
Research, prototype, and deploy advanced AI/ML models for structured (3rd Party applications, APIs, streaming data) and unstructured data(video/audio/other). Oversee model lifecycle management, from design to deployment and monitoring; ensure scalability, performance, and accuracy of AI/ML solutions&nbsp;
</li>
<li>
Work closely with Data Engineers, Architects and CI/CD Engineers to design data pipelines that handle structured and/or unstructured data efficiently. Implement real-time and batch processing capabilities for data streams. Proficiency in DataOps or MLOps methodologies and processes for integration and automation in cloud environments.&nbsp;&nbsp;
</li>
<li>
Lead a team of data scientists, machine learning engineers, to provide mentorship and foster innovation. Collaborate with stakeholders across departments to understand requirements and translate them into technical solutions. Promote knowledge sharing and best practices within the team and across the organization.&nbsp;
</li>
<li>
Stay current on emerging trends and technologies in video analytics, computer vision, and AI/ML. Experiment with state-of-the-art algorithms in machine vision, advanced Generative AI models, and time-series analysis models. Foster partnerships with academic institutions, research labs, or technology vendors to stay at the forefront of innovation.&nbsp;
</li>
<li>
Develop metrics and KPIs to evaluate the performance of video analytics systems. Implement continuous improvement strategies by iterating on models and algorithms. Ensure systems comply with ethical guidelines, data privacy laws, and fairness standards.&nbsp;
</li>
<li>
Present findings, insights, and recommendations to executives and other stakeholders. Quantify the Return on Investment (ROI) of analytics initiatives through case studies and success metrics. Drive adoption of AI/ML solutions across the organization by demonstrating tangible benefits.&nbsp;
</li>
</ul>
Qualifications 
Minimum Qualifications:
Education:
An associate degree in computer science or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units [i.e., at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in computer science or a closely related field].
Experience:
Five (5) years of experience with probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.
Substitution:
Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units/ forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in one of the fields above or a closely related field.
Desirable Qualifications:
<ul>
<li>
Bachelor’s or Master’s degree in applied mathematics, statistics, computer science, physics, engineering, or other relevant technical field.&nbsp;&nbsp;
</li>
<li>
Experience with machine learning concepts: regression and classification, clustering, feature selection, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.&nbsp;
</li>
<li>
Knowledge in time-series analysis.&nbsp;&nbsp;
</li>
<li>
Familiarity with scripting language and/or shell scripting.&nbsp;
</li>
<li>
Software development life-cycle experience, with proven track record of shipping products.&nbsp;
</li>
<li>
Experience with big data and distributed system technologies like Hadoop, Mongo, Couch, Spark.&nbsp;
</li>
<li>
Knowledge of both SQL and NoSQL databases.&nbsp;
</li>
<li>
Knowledge AWS Sagemaker, Azure ML, GCP Vertex AI, or Snowflake Cortex.&nbsp;
</li>
<li>
Knowledge of Cloud Data Warehouses like Snowflake, Big query, Redshift, Databricks etc.&nbsp;
</li>
<li>
Experience in Java, Pig, Python, or Scala.&nbsp;
</li>
<li>
Knowledge or experience with security, machine learning, AWS Cloud (S3, EC2, ELB, EMR, CloudFormation) is a plus.&nbsp;
</li>
<li>
A highly collaborative mindset, eager to work cross-functionally with diverse teams and contribute to a shared mission.&nbsp;
</li>
</ul>
Supplemental Information:
Essential duties require the following physical skills and work requirements: Some positions may require sufficient strength and coordination for lifting, pushing, pulling and/or carrying the weight of computer systems equipment. May require bending, stooping and/or crawling in order to install or repair computer systems hardware. May require hand/eye coordination and manual dexterity for taking apart casings, installing parts and reconnecting computer systems hardware. May involve extensive VDT exposure.
 Additional Information 
Verification:
Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on&nbsp;Employment Application and Minimum Qualifications&nbsp;and&nbsp;Verification of Experience and/or Education&nbsp;for considerations taken when reviewing applications.&nbsp;
Note: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.&nbsp; All work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications.&nbsp;
Resumes will not be accepted in lieu of a completed City and County of San Francisco application.&nbsp;
Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores.
Selection Procedures:
The selection process will include evaluation of applications in relation to minimum requirements.&nbsp; Applicants meeting the minimum qualifications are not guaranteed advancement to the interview.&nbsp; Depending on the number of applicants, the Department may establish and implement additional screening mechanisms to comparatively evaluate the qualifications of candidates.&nbsp; If this becomes necessary, only those applicants whose qualifications most closely meet the needs of the Department will be invited for an interview.
Notes: Applicants who meet the minimum qualifications are not guaranteed advancement through all of the steps in the selection procedure.
Transportation Security Administration (TSA) Security Clearance:
Candidates for employment with the San Francisco Airport Commission are required to undergo a criminal history record check, including FBI fingerprints, and Security Threat Assessment in order to determine eligibility for security clearance and may be required to undergo drug/alcohol screening. Per Civil Service Commission Rule Section 110.9.1, every applicant for an examination must possess and maintain the qualifications required by law and by the examination announcement for the examination. Failure to obtain and maintain security clearance may be basis for termination from employment with the Airport Commission.
What else should I know?
Terms of Announcement and Appeal Rights:
Applicants must be guided solely by the provisions of this announcement, including requirements, time periods and other particulars, except when superseded by federal, state or local laws, rules or regulations. Clerical errors may be corrected by the posting the correction on the Department of Human Resources website at&nbsp;<a href="https://careers.sf.gov/" target="_blank">https://careers.sf.gov/</a>.
Additional Information Regarding Employment with the City and County of San Francisco:
<ul>
<li>Information About the Hiring Process</li>
<li>Conviction History</li>
<li>Employee Benefits Overview&nbsp;&nbsp;</li>
<li>Equal Employment Opportunity&nbsp;</li>
<li>Disaster Service Worker</li>
<li>ADA Accommodation</li>
<li>Right to Work</li>
<li>Copies of Application Documents</li>
<li>Diversity Statement</li>
</ul>
HOW TO APPLY
Applications for City and County of San Francisco jobs are&nbsp;only&nbsp;accepted through an online process. Visit&nbsp;<a href="https://careers.smartrecruiters.com/CityAndCountyOfSanFrancisco1/&nbsp;and" target="_blank">https://careers.smartrecruiters.com/CityAndCountyOfSanFrancisco1/&nbsp;and</a> begin the application process.
<ul>
<li>Select the “I’m Interested” button and follow instructions on the screen</li>
</ul>
Applicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com).
Applicants will receive a confirmation email from&nbsp;<a href="mailto:notification@careers.sf.gov" target="_blank">notification@careers.sf.gov</a>&nbsp;that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records.&nbsp;Failure to receive this email means that the online application was not submitted or received.
Exam Analyst Information:&nbsp; If you have any questions regarding this recruitment or application process, please contact the exam analyst, Ronnie Jones at <a href="mailto:charon.jones@flysfo.com" target="_blank">charon.jones@flysfo.com</a>.
All your information will be kept confidential according to EEO guidelines.
The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

Data Science Lead (9976) - ITT Division SFO (PEX)

<h3>Job Description</h3>
Job Description
What You Will Do: As a Cryptanalytic Computer Scientist Level 2 with Independent Software, you will apply your expertise in computer science, mathematics, and engineering to develop innovative solutions to complex cryptographic and security challenges. You will design and evaluate algorithms, build mathematical models, and analyze vulnerabilities in cryptographic systems to safeguard sensitive information. Join Independent Software’s mission-driven team at the forefront of cryptography and high-performance computing, where you will apply your expertise in computer science, mathematics, and engineering to solve complex security challenges. In this role, you will design algorithms, develop mathematical models, and analyze vulnerabilities to safeguard critical systems and protect sensitive information. If you are passionate about advancing secure computing solutions, tackling cryptographic problems, and directly supporting national security missions, we want you on our team. Key Responsibilities:&nbsp;
<ul>
<li>Design, develop, and evaluate algorithms and techniques to solve complex cryptographic and security-related problems</li>
<li>Create and utilize mathematical models and methods to study cryptographic systems and analyze potential vulnerabilities</li>
<li>Develop secure solutions to protect sensitive information against evolving threats</li>
<li>Work on high-performance computing projects to optimize cryptographic processes</li>
<li>Apply advanced computer science principles to address security challenges across diverse computing environments</li>
</ul>
Required Skills and Qualifications:
<ul>
<li>Strong background in computer science, mathematics, or engineering with expertise in cryptography and algorithm development</li>
<li>Proficiency in designing, developing, or evaluating mathematical models, methods, or techniques to solve technical problems</li>
<li>Experience with high-performance computing and optimization techniques</li>
<li>Ability to analyze cryptographic vulnerabilities and propose secure solutions</li>
<li>Strong programming skills combined with advanced mathematical coursework (Calculus and above)</li>
<li>Effective communication skills for collaboration with mission stakeholders and technical teams</li>
</ul>
Education and Experience: 
<ul>
<li>Master’s degree with a minimum of 3 years of relevant experience OR</li>
<li>Bachelor’s degree with a minimum of 5 years of relevant experience OR</li>
<li>Associate’s degree with a minimum of 7 years of relevant experience</li>
<li>Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming course and at least four upper-level math courses (Calculus and above)</li>
</ul>
Clearance Requirement:
<ul>
<li>Must possess an active TS/SCI with appropriate&nbsp;Polygraph to&nbsp;be considered for this role</li>
</ul>
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. &nbsp;
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