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Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Artificial Intelligence of Things (AIOT). This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 7+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching experience, especially in graduate or professional programs. * University teaching experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description $5,000 Signing Bonus!! We will provide you with a relocation stipend!! Role: Board Certified Behavior Analyst (BCBA) Location: You can work at one of our Georgia centers. We will provide you with a generous relocation stipend! Target Earnings: CS1: $94,000.00; CS2: $98,000; CS3: $102,000; Sr. CS-1: $107,000; Sr. CS-2: $115,000 Base Salaries: $90,000-$100,000; based on experience Schedule: Monday-Friday, 8:00 am - 5:00 pm About Apollo Behavior: Apollo Behavior is the premier provider of ABA therapy in metro Atlanta, and the largest ABA provider based in Georgia. We are focused on being the best, and have heavily incorporated relational frame theory into our clinical model. At Apollo, excellence is not an anecdote - we have a ~25% annual client graduation rate, and many of our clients enter mainstream educational settings. We embrace a servant leadership model and work hard every day to empower our team to do their best work and be their best selves. We are dedicated to ensuring that our team enjoys a fun, collaborative, non-bureaucratic culture and maintains a healthy work-life balance. To learn more, please visit our website at: Role: BCBA and Case Supervisor Apollo Behavior is looking for BCBAs for our center-focused applied behavior analysis services in the metro Atlanta area. This is a great opportunity for someone who wants to do great work with other excellent clinicians, be a part of a fun and collaborative culture, and maintain an ethical caseload and work/life balance. Your typical day might include: • Providing clinical consultation and overseeing treatment programming for our staff and clients, • Collaborating with parents or other caregivers to ensure client progress is sustained long-term, • Developing and leading other team members, • Learning about and implementing innovative ABA methods, such as Relational Frame Theory / RFT, • You are a leader who has passion and vision, • You value the opportunity to develop your clinical and managerial skills with mentorship provided by the leading minds within the ABA field, • You are an excellent clinician, a great manager, and a collaborator with client caretakers, • You love to see the results of your work improving the lives of your clients, • You love to lead and develop other clinicians so we can all ensure our clients achieve their full potential, • $5,000 Signing Bonus, • Relocation Reimbursement Assistance, • $1,500 CEU and Travel Reimbursement, plus three additional paid CEU days, • 19 Paid Days Off per year (including 9 paid holidays), • 2 WFH days per month, • Billable starting at 20 hours a week, • Comprehensive Health, Life, Vision, and Dental Insurance, • 401(k) with Company Match, • A master's degree in psychology or a related field, • Strong competency in a range of skill acquisition and behavior reduction techniques, • Success leading and managing direct care clinical team members

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Analytics for Cybersecurity Management. This course offers a comprehensive introduction to core cybersecurity principles, encompassing network security, threat detection, and vulnerability management, while highlighting how emerging techniques in AI and machine learning can transform modern defense strategies. Students will explore key frameworks, advanced tools, and real-world case studies, gaining insight into how analytics underpins effective threat intelligence, incident response, and regulatory compliance. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * 3+ years of professional experience in roles such as Security Operations (SOC), Threat Intelligence, Incident Response, Security Engineering, Vulnerability Management, Cloud Security, or Applied Data Science/ML for security within industries like technology, finance, healthcare, consulting, or government. * Python proficiency for data parsing/ETL, log analysis, and basic analytics (e.g., pandas, simple scikit-learn workflows). * Comfort with shell scripting (PowerShell and/or Bash) and core OS tools for processes, networking, and files. * Strong communication and feedback skills for guiding graduate students; dependable, organized, and detail-oriented Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Experience with cloud security (IAM, least privilege, security groups, logging) and common tools (e.g., CloudTrail/Defender for Cloud). * Familiarity with SOAR concepts/workflows and alert triage/runbooks. * Practical knowledge of security/privacy frameworks and regs (e.g., NIST CSF, HIPAA, GDPR) and ethical handling of sensitive data. * Experience supporting course operations (Canvas/LMS, rubric-based grading, timely feedback, academic integrity processes, managing small-group activities). * Track record of mentoring early-career professionals or graduate students and collaborating in diverse, remote teams. Additional Information All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $11,000 - $13,000 per semester long course

Job Description • position follows a school schedule (day time hours/time off etc.)., • Conduct functional behavior assessments and develop behavior intervention plans, • Implement and monitor behavior intervention plans -Provide parent training sessions when needed remotely or during school hours • Provide training and supervision to other staff members within the district, • Collect and analyze data to evaluate the effectiveness of behavior intervention plans, • Collaborate with parents, caregivers, and other professionals to develop comprehensive treatment plans, • Stay up-to-date with the latest research and best practices in applied behavior analysis, • Maintain accurate and thorough documentation of client progress and treatment plans • Board Certification as a Behavior Analyst (BCBA), • Experience working with individuals with developmental disabilities, preferably children, • Strong knowledge of applied behavior analysis principles and techniques, • Familiarity with special education laws and regulations, • Excellent communication and interpersonal skills for working with patients, families, and team members, • Ability to collect and analyze data to inform treatment decisions, • Strong problem-solving skills and ability to adapt treatment plans as needed, • Commitment to providing high-quality care in a compassionate manner Note: This job description is intended to provide a general overview of the position. It is not an exhaustive list of all responsibilities, duties, qualifications, or requirements associated with the job. Job Types: Contract, Full-time Pay: $75.00 - $100.00 per hour Work Location: In person Company DescriptionFlourishing Minds provides Behavioral Consultation services to public school districts on Long Island, Westchester and Dutchess County. Staff are required to conduct Functional Behavioral Assessments, create and implement Behavior Intervention Plans, analyze data as needed, conduct professional development for staff, and parent training and counseling.Flourishing Minds provides Behavioral Consultation services to public school districts on Long Island, Westchester and Dutchess County. Staff are required to conduct Functional Behavioral Assessments, create and implement Behavior Intervention Plans, analyze data as needed, conduct professional development for staff, and parent training and counseling.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Doctorate degree in Computer Science, Data Science, or a related field., • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques. 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Strong verbal and written skills for explaining concepts clearly. Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary range: $11,000 - $13,000 per semester long course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach an on-campus graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Doctoral degree in an area related to applied analytics, computer science, or information technology, • Solid knowledge and academic foundation in statistics., • Deep understanding of machine learning concepts and algorithms., • Proficiency in R and Python programming., • 10+ years of professional experience in analytics-focused roles., • 2+ years of teaching experience, ideally at the graduate level., • Proficient in JavaScript Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Mathematics for AI. This course equips students with essential mathematical foundations for understanding and working with artificial intelligence (AI) algorithms. By the end of this course, students will possess a strong mathematical toolkit to confidently tackle the complexities of modern AI algorithms. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. Additional Information All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach a graduate-level course in AI User Interfaces for Analytics. The course delivers a comprehensive understanding of the principles of UX design, as well as techniques and best practices for developing user interfaces (UIs). Students will learn how to create intuitive, interactive, and visually engaging websites and dashboards surfacing AI-generated insights. The curriculum covers the entire process from design and implementation to the evaluation of UIs. Students gain hands-on experience with web development technologies, such as HTML, CSS, JavaScript, and related cloud services. Additionally, the course integrates apply state-of-the-art AI technologies for creating intelligent and interactive UIs. Responsibilities • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions (classes generally meet once per week for up to 2 hours)., • Monitor and address student concerns and inquiries., • Evaluate, grade student work and assessments., • Conduct office hours.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Information Technology, or related discipline, • Proficiency in HTML/CSS, JavaScript, and Python, • Good understanding of UX design and data visualization principles, • 10+ years of related professional experience., • 2+ years of University teaching experience, ideally at the graduate level, • 2+ years of experience with cloud services on AWS, GCP, or Azure, • Any experience applying generative AI models for visualization Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Financial Securities Analysis and Portfolio Management. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces students to the study of analyzing information to evaluate financial securities and design investment strategies. This course provides an intensive introduction to major topics in investments and covers topics in theoretical foundation, valuation models and analysis of major asset classes, and the practice of active portfolio management. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in Finance or a related field * Professional experience related to financial securities analysis and portfolio management * Proficiency in Python; e.g. using libraries for data manipulation, statistical analysis, machine learning implementations, and data visualization. Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Excellent written and oral communication skills with the ability to present complex material to students unfamiliar with a subject Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University’s Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data. The Fundamentals of Data Engineering course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes, and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate, grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree or equivalent required, in an area related to data science, statistics, computer science, or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge of SQL and NoSQL databases. * Knowledge of Python and Spark. * 10+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce strongly desired. * Other software or programming languages like R and Tableau. * Statistical and Machine learning knowledge. * University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $11,000 - $13,000 per semester long course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate level course on Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience • University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Managing Data. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in an area related to data science, statistics, computer science or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge in SQL and NoSQL databases. * 3+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce, Spark strongly desired. * Other software or programming languages like R, Python, Tableau * Statistical and Machine learning knowledge. * University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer. Salary range: $2,000 - $3,000 per semester long course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Financial Securities Analysis and Portfolio Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Financial securities analysis and portfolio management is the study of analyzing information to evaluate financial securities and design investment strategies. Studying the subject can provide a foundation for students entering the fields of investment analysis or portfolio management. This course provides an intensive introduction to major topics in investments. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Finance or a related field., • 3+ years of professional experience in a role involving financial securities analysis and portfolio management, • University teaching experience., • Experience applying Python to real-world financial securities and portfolio management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Analytics for Business Operations Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course teaches students how to apply analytical techniques to optimize operational decision- making, improve efficiency, and solve real-world challenges in operations management. Students will develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. The course integrates lectures and coding exercises to ensure a balance between conceptual learning and practical application across multiple industries. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • University teaching experience., • Experience applying Python to real-world operations management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through fourteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Responsibilities • Attend all on-campus class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries, • Conduct office hours.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses)., • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques., • Hands-on experience with deep learning projects and data manipulation., • Strong verbal and written skills for explaining concepts clearly., • University teaching experience in related subjects Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field. * 3+ years of related applied professional experience. Preferred Skills & Experience * Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow. * Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs. * Experience with deploying code on cloud platforms such as AWS, GCP, or Azure. * Knowledge of Mathematics and Probability concepts used in machine learning, including * Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Artificial Intelligence of Things (AIOT). An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 2+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching or TA experience, especially in graduate or professional programs. * University teaching/TA experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to data science, applied analytics, statistics, or another quantitative discipline., • Proficient in Python programming., • Knowledge of theories and practical application of machine learning., • University teaching experience. Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1845 driving with Uber when you complete your first 164 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along