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Job DescriptionSalary: $150,000 - $175,000 per year plus discretionary bonus Position Summary • Reporting to the Managing Director, Digital Investigations & Cyber Risk, the Director of Data Analytics supports investigations, risk assessments, and expert witness matters across the firm including the Financial Investigations & Forensic Accounting practice, by leading advanced data analytics initiatives. This role partners with managers and multidisciplinary teams to design, execute, and communicate sophisticated analytical solutions across complex, sensitive datasets. Key Responsibilities • Lead extract, transform, and load (ETL) processes for transaction, compliance, forensic, and process-related datasets., • Transform unstructured data (e.g., mobile chat, email, financial and web data) into structured, analysis-ready formats or databases in support of investigation workflows., • Design, code, and refine analytics models using custom scripts and third-party platforms., • Report analytical results to internal and external stakeholders through written reports, dashboards, and data visualizations., • Evaluate and manage third-party analytics tools and cloud processing platforms to engagement type., • Support eDiscovery workflows, including data processing and loading into review platforms., • Develop analytic workflows for cyber and digital investigations., • Build and maintain production-quality custom scripts, queries, and automation to streamline repeatable processes. Technical Skills & Qualifications • Proficiency in programming and SQL and Python., • Advanced experience with Excel, Access, SAS, Alteryx, Tableau, and Power BI., • Hands-on experience with eDiscovery platforms such as Relativity, Brainspace, or Nuix., • Familiarity with cloud processing platforms such as Azure or GCP., • Strong communication skills and ability to present findings to technical and non-technical audiences verbally and in writing. Experience: • Minimum of 5 years of experience in data analytics, investigations, consulting, litigation support, or a related environment., • Demonstrated experience leading complex analytic engagements involving structured and unstructured data., • Experience supporting investigations, regulatory matters, risk assessments, or expert witness projects strongly preferred., • Sector experience in Financial Services and/or Health Care a plus. Education • Bachelors degree in Data Analytics, Computer Science, Information Systems, Statistics, Economics, Finance, or a related quantitative discipline preferred., • Masters degree in Data Science, Analytics, Computer Science, Business Analytics, or a related field preferred., • Nardello & Co. offers highly competitive wages and benefits., • Nardello & Co. is an equal opportunity employer. Who We Are Ranked as the pre-eminent US investigative firm by Chambers & Partners, Nardello & Co.s experienced professionals handle a broad range of issues including civil and white-collar criminal litigation and arbitration support, due diligence, anti-corruption & fraud investigations, asset tracing, activist defense, political risk and strategic intelligence, digital investigations and cyber defense, monitorships and independent investigations, and compliance consulting. The firms clients include the worlds leading law firms and financial institutions, Fortune 500 and FTSE 100 companies, high-net-worth individuals and family offices, governments, NGOs, sports organizations, and academic and cultural institutions. With offices in New York, London, Washington, DC, Los Angeles, San Francisco, Paris, Hong Kong, Dubai, and Singapore, Nardello & Co. maintains a professional staff that includes former US federal prosecutors, US and international lawyers, former law enforcement personnel and intelligence operatives, digital forensic experts, research analysts, former journalists, financial crime specialists, and forensic accountants.

Job Description As a member of Friends of the High Line's (FHL) Special Projects team within the Administrative division, the Manager of Data & Evaluation plays a critical role in developing and implementing comprehensive evaluation frameworks that measure program impact, inform strategic decision-making, and directly strengthen the effectiveness of our programs and park operations for the communities we serve. This position transforms operational and programmatic data into compelling stories and actionable insights that help programming teams identify areas for improvement, elevate successes we want to build upon, and ensure our work continues to evolve in response to community needs—while also demonstrating the High Line's impact as a vital civic asset. By partnering closely with program staff, this role ensures that evaluation is not just about reporting results, but about continuously improving outcomes for participants and visitors. This position reports to the Manager, Administration & Special Projects and collaborates cross-departmentally to address FHL's data collection, measurement, and evaluation needs. The annual salary range for this position is $80,000 – $90,000 Program Evaluation & Impact Measurement • Design, implement, and review evaluation frameworks and metrics that capture the impact of High Line programs, which include but are not limited to public events, educational initiatives, and park operations, • Conduct regular assessments of program effectiveness and provide actionable recommendations for continuous improvement, • Develop data collection methodologies and administer tools that support both formative and summative program evaluations, ensuring alignment with funding timelines and funder reporting needs, • Create compelling data-driven narratives and visualizations that communicate program impact to diverse audiences, including donors, board members, institutional funders, and the public, • Collaborate with the Development team to translate program evaluation findings into fundraising materials, grant proposals, and impact reports, • Establish benchmarks and key performance indicators (KPIs) aligned with organizational goals and contemporary urban park management standards Data Systems & Infrastructure • Work from within the Administration Division to identify and develop solutions for organization-wide data and evaluation needs, ensuring sustainable, data-driven cross-division support, • Collaborate with internal stakeholders to design data collection and analysis frameworks that reflect contemporary program evaluation and public space research, • Lead efforts to standardize data reporting methods and establish sound principles of data governance appropriate for an urban park stewardship nonprofit in a manner that:, • Reflects best practices in contemporary urban research methodologies, • Provides actionable insights for park management and urban design strategies, • Implements comprehensive data quality standards and validation procedures, • Establishes metadata standards for spatial and non-spatial data, • Maintains data retention policies Technical Systems Management • Support the implementation and management of FHL’s databases, including but not limited to:, • Administering enterprise-grade geospatial information systems (GIS) including but not limited to Esri's ArcGIS Enterprise, • Monitoring and possibly managing the implementation of people counting sensors throughout the park, • Selecting and leveraging self-service systems for organization-wide metrics retrieval and analysis, • Participating in needs assessments, facilitating data reviews, opening support tickets, and coordinating updates as needed, • Maintaining documentation of FHL information systems, working in tandem with the IT department to ensure sound data governance practices, • Collaborate with the Digital Transformation and IT functions to ensure that software and accompanying systems/services fulfill and align with organizational data and evaluation needs, • Lead the Data Working Group, a cross-departmental unit of engaged internal stakeholders who provide regular strategic insights and thought partnership on key data and evaluation needs, • Partner with program staff across departments to build evaluation capacity and foster a culture of learning and continuous improvement, • Bachelor's degree in Urban Planning, Program Evaluation, Public Policy, Data Science, Geospatial Information Systems, or an equivalent field, plus five (5) years of experience in program evaluation, impact measurement, and data analytics, • A master's degree or higher in a comparable field may be considered as an acceptable substitute for some of the work experience requirements above, • Demonstrated experience developing program evaluations and impact metrics to support fundraising efforts, grant applications, and organizational storytelling, • Proven ability to translate complex data into clear, compelling narratives for non-technical audiences, • Demonstrated expertise in:, • Program evaluation methodologies and frameworks, • GIS platforms such as ArcGIS (including ArcGIS Field Maps and ArcGIS Enterprise) or QGIS, • Programming languages (e.g. Python or R) for data analysis, • Data visualization tools such as ArcGIS Dashboards, Google Looker Studio, Microsoft PowerBI, or Tableau, • Survey design and administration tools, • Strong understanding of urban spatial dynamics, public space design principles, and nonprofit program management, • Familiarity with outcome measurement frameworks and logic models, • Proven foundations in both qualitative and quantitative data analysis and evaluation methods, • Excellent written and verbal communication skills with the ability to present data findings to diverse stakeholders, • Experience working in nonprofit, philanthropic, or mission-driven environments preferred This is a Full-Time, year-round, exempt position. The location for the role remains hybrid, with a requirement to physically report to the office at least three days per week (located in Manhattan's Meatpacking District in New York City). Benefits • Discounted Citi Bike Membership, • Discounts with vendors on the High Line & around the Meatpacking neighborhood, • Free entrance to Whitney Museum, • 20 Vacation days, 7 sick days, and 10 paid holidays with 2 floating holidays (prorated based on start date)., • Medical, dental, and vision insurance, • Paid primary and secondary caregiver leave, • Supplemental short-term disability insurance and paid life insurance, • Winter Fridays, • Commuter benefits, • Flexible Spending Accounts, • Contribution in a 403(b) retirement plan, • Employee Assistance Program Built on a historic, elevated rail line, the High Line was always intended to be more than a park. You can walk through the gardens, view art, experience a performance, enjoy food or beverage, or connect with friends and neighbors while enjoying a unique perspective of New York City. Nearly 100% of our annual budget comes through donations. The High Line is owned by the City of New York, and we operate under a license agreement with NYC Parks. EEO Statement The High Line is guided by a series of values through which we make decisions, including hiring. These values include proactively creating access points for all people, regardless of age, sex, color, creed, race, income, country of origin, religion, sexual orientation, or gender identity. As part of our commitment to living up to these values and advancing equity within our organization and through our work, we are committed to an equitable hiring process. Hence, we strongly encourage applications from people with a broad range of lived experiences. This description shall not be construed as a contract of any sort for a specific period of employment.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview The Research Engineer plays a critical role in advancing our industrial and energy modeling, machine learning, and analysis capabilities, supporting customers in achieving their economic, operational, and sustainability goals. These modeling and analysis capabilities are mission critical and underpin the knowledge base for CVector's AI Agents. They ensure customers are receiving robust, reliable recommendations from our AI Agents that are bound by real equipment and facility constraints. You will report to the CTO and develop and implement models and analytical tools for standardized products and bespoke customer needs. Specifically, you will be developing and deploying CVector's techno-economic analysis (TEA) and linear programming (LP) models to inform and recommend to our customers how to operate their facilities more profitably, with lower energy costs and reduced emissions. You will also develop and work with our library of ML and AI time series algorithms for anomaly detection, forecasting, and predictive equipment failure. This role is ideal for an experienced energy modeler or data scientist with substantial experience in the energy or industrial sectors. We seek someone who thrives in startup environments and enjoys cross-functional work that supports founders, investors, customers, and team members alike. Responsibilities As a Research Engineer, you will collaborate with our team and be responsible for: • Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience, • Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts., • Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure., • Developing and using our algorithm training architecture to ensure quality results for our customers., • Developing and deploying TEA and LP models to optimize equipment and facility operations., • Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans., • Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs., • Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers. Our current modeling and analysis stack is Python-based and includes modern CI/CD workflows managed through GitHub. A strong candidate will bring many (but not necessarily all) of the following: • 5+ years of experience and/or advanced degrees in industrial or energy analytics and techno-economic analysis or ML and statistics applied in industry, preferably in an early-stage or growth-stage company, • Demonstrated strength in Python, • Working knowledge of energy and commodity markets, • Comfortable managing multiple analytical projects at once, • High attention to detail and ability to prioritize independently in a low-structure, high-trust environment, • Excitement to utilize the latest AI tools to accelerate your work, while maintaining an eye on quality, • Ability to rapidly prototype while acknowledging limitations, • Working experience in FinTech, quantitative analysis, and econometrics greatly preferred CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000. Why This Role Matters at CVector CVector's TEA models and time series algorithms inform operators at $100+ million industrial facilities where changes in operations can results in millions of dollars of savings. We need the best and brightest team to ensure our models are top of the line and stress tested against corner cases that could lead to poor recommendations. If you enjoy deeply understanding physical systems, advocating for customers, and driving real-world decisions, this role will give you both ownership and impact.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales. * You will develop machine learning methods to extend our predictive and generative platform * You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools * You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models * You will analyze and integrate large-scale biological datasets * Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology. Who We're Looking For * You have a PhD in a biological field and strong programming skills in Python * You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening * You have experience working with Protein or Chemical Language Models * You like to work collaboratively in a fast-paced startup environment * You are passionate about using data science to unlock the secrets of biology * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts Bonus Points * You have hands-on experience building AI/ML using PyTorch and Lightning * You have experience with cloud computing platforms like AWS * You have hands-on biology laboratory experience * You have contributed to peer-reviewed publications in computational biology * You have knowledge of machine learning techniques applied to biological data Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $150K - $250K

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Job Title: Senior Data Scientist Location: United States (Can be based anywhere) Travel: As needed About the Role We are looking for a Senior Data Scientist to join a high-performing analytics team working on complex, real-world problems across multiple industries. In this role, you will collaborate with cross-functional teams to design, build, and deploy advanced analytics and AI solutions that drive meaningful business impact. You'll work on a variety of projects, ranging from optimizing operations to building machine learning and AI-driven applications, while continuing to grow your technical and problem-solving skills. Key Responsibilities • Translate business problems into data-driven solutions, • Perform exploratory data analysis and identify key insights, • Build, test, and deploy machine learning and AI models, • Develop and evaluate models using statistical techniques and experimentation (including A/B testing), • Work with modern AI approaches such as large language models (LLMs) and retrieval-augmented generation (RAG) when applicable, • Deploy solutions via APIs or data pipelines and monitor performance over time, • Collaborate with engineers and product teams to integrate solutions into applications, • Ensure models are accurate, explainable, and scalable, • Python and SQL for data science and analytics, • Distributed computing tools like Spark/PySpark, • Cloud platforms such as AWS, Azure, or GCP, • Tools like Airflow, Databricks, Docker, and Kubernetes, • Bachelor's degree with 8+ years of experience, or Master's/PhD in Computer Science, Statistics, Mathematics, or a related field, • Experience applying machine learning to real-world datasets, • Strong programming skills in Python and SQL, • Experience with large-scale data processing (e.g., Spark), • Familiarity with cloud environments and modern data tools, • Strong problem-solving and analytical thinking skills, • Excellent communication skills with the ability to explain technical concepts clearly, • Exposure to a wide range of industries and use cases, • Opportunities to work on cutting-edge AI and data science projects, • A collaborative, fast-paced, and learning-focused environment, • Strong mentorship and career growth opportunities

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 Description • Data Scientist, • Hybrid, NY, • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions., • Design and build end to end machine learning solutions and statistical frameworks across fan behavior., • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning, • Lead recurring analytical programs with a focus on reproducibility and automation., • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products., • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making., • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions., • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact., • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas, • 2+ years of hands-on experience in a data science role with a track record of shipping models into production., • Extremely proficient in SQL for robust data extraction and analysis., • Strong programming skills in Python., • Familiarity with Git and code/data version control., • Solid statistical foundation, • Exposure to NLP techniques for processing unstructured survey data., • Excellent communication, problem-solving, and critical thinking skills., • Self-started and willingness to take on challenging initiatives, • Effective time management and attention to detail, • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).

Job Description Job Title: Data Engineer Location: Open (U.S. based, travel as needed) We are looking for a Data Engineer to design, build, and optimize modern data platforms that support advanced analytics and AI solutions. In this role, you will work with cross-functional teams to develop scalable data pipelines, manage secure data environments, and help organizations unlock the full value of their data. What You'll Do • Design and build batch and real-time data pipelines, • Develop and optimize large-scale data processing workflows, • Implement secure, reliable, and high-performing data solutions, • Work with structured and unstructured data across cloud and on-prem systems, • Collaborate with data scientists, engineers, and business stakeholders, • Support AI and machine learning use cases, including modern applications like RAG and vector databases, • Streaming platforms for real-time analytics, • Data pipelines that improve reporting speed and decision-making, • Optimization of large-scale data workflows to reduce cost and improve efficiency, • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, • 8+ years of experience in data engineering, software engineering, or similar roles, • Strong programming skills in Python, Scala, or Java, • Advanced SQL skills, including performance tuning and complex query optimization, • Hands-on experience with SQL Server and relational database design, • Experience with cloud platforms (AWS, GCP, Azure, or similar), • Familiarity with modern data tools such as Snowflake, BigQuery, Redshift, or Delta Lake, • Experience with tools like Databricks, dbt, or AWS Glue, • Knowledge of distributed systems (Spark, Flink, etc.) and streaming tools (Kafka, Kinesis), • Experience with workflow orchestration tools like Airflow or Prefect, • Understanding of DataOps, CI/CD, and monitoring tools, • Exposure to ML platforms or AI tools is a plus, • Competitive compensation and benefits, • Opportunities to work on cutting-edge data and AI projects, • A collaborative, fast-paced environment, • Strong focus on learning, mentorship, and career growth

Job DescriptionAbout the Company At Flow, we’re reimagining what it means to live, work, and connect. More than just a real estate company, Flow is a brand, a technology platform, and an operations ecosystem spanning condominiums, hotels, multifamily residences, and office spaces. We’re building a new kind of living experience: one that’s flexible, connected, and designed to create genuine community and real value for the people who call Flow home. Our mission is oneness: prioritizing our residents and their experiences, and fostering connection with ourselves, their neighbors, and the natural world. By putting people at the center of everything we do, we’re creating vibrant, human-centered communities where life, work, creativity, and play all come together in one place. About the Role As a Senior Software Engineer, you will develop backend systems that scale with Flow's growth. You’ll work on critical systems, collaborating with cross-functional teams to build secure, resilient services. In this role, you will actively solve complex problems with autonomy, proactively identify improvements, and take ownership of your work. We believe employees are better together. Every position at Flow has an onsite or in-office requirement.Responsibilities • Identify and build AI-powered capabilities into Flow's platform, from intelligent automation in building operations to personalized resident experiences, • Use AI-assisted development tools (e.g., Cursor, Claude Code) as part of your daily workflow to accelerate development, improve code quality, and push the boundaries of what a small team can ship., • Build and optimize APIs, backend services, and distributed systems., • Collaborate with frontend, product, and infrastructure teams to ship new features, supporting peers across teams and mentoring junior engineers., • Design, develop, and maintain scalable software solutions while communicating across teams and providing useful asynchronous context., • Conduct thorough testing and performance tuning to ensure reliability, connecting technical work to product impact and customer value., • Participate in architecture discussions, propose technical solutions, and handle loosely defined problems with creativity and insight., • Learn from failures, reflect, and work hard to improve under pressure, while elevating team outcomes and engineering quality.Qualifications, • 10-15+ years of backend software engineering experience, with a proven track record of impacts across multiple areas or services., • Fluency with AI-assisted development tools and a strong point of view on how AI changes the way software gets built. You're already using these tools daily, not just experimenting., • Strong understanding of distributed systems, API development, and cloud computing., • Experience with Kubernetes, Docker, and cloud-native infrastructure., • Proficiency in modern programming languages (Go, Python, Kotlin, TypeScript).

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Full Stack Engineer at Moxxi, you will play a key role in building and scaling our performance marketing platform from backend APIs and data services to intuitive, data-rich front-end experiences. You will collaborate closely with product, design, and business stakeholders to create tools that help Ad operators manage, optimize, and personalize campaigns in real time. This is a front-end leaning full-stack role where you will own features end-to-end, contribute to technical strategy, and help shape the evolution of Moxxi's ad delivery and optimization systems. If you thrive in fast-moving environments, love solving complex technical problems, and want to see your code drive measurable business impact, this is the role for you. Responsibilities: • Design, build, and maintain data-rich, low-latency, performant web applications using TypeScript, React, and Next.js., • Develop reusable, responsive UI components and design systems that scale across Moxxi's performance marketing tools and dashboards., • Collaborate with product and design teams to translate complex workflows into intuitive, elegant interfaces., • Build and maintain backend APIs and services (primarily in Go) that support front-end features and integrations., • Work closely with backend and data engineers to deliver campaign analytics, reporting, and personalization features., • Implement robust testing, monitoring, and performance optimization practices for frontend and API layers., • Contribute to architecture discussions, technical design, and system scalability planning., • Ensure code quality, maintainability, and accessibility across all user-facing surfaces., • Mentor and support junior engineers through code reviews and pair programming., • Collaborate cross-functionally with product, design, and operations teams to deliver impactful, user-centered solutions., • Stay current with trends in frontend frameworks, cloud-native systems, and AdTech innovation, bringing fresh ideas into Moxxi's platform.Basic Qualifications:, • 6–10 years of professional software engineering experience, including 4+ years building production-grade frontends., • Strong fluency in TypeScript, React, and modern frameworks like Next.js., • Solid backend experience with Go (Golang), Node.js, or Python, and familiarity with RESTful or GraphQL APIs., • Strong understanding of state management, component architecture, and API design., • Experience integrating with cloud-native environments (GCP preferred) and containerized deployments (Docker, Kubernetes)., • Knowledge of SQL/NoSQL databases and basic data pipeline concepts., • Excellent product sense and ability to translate business needs into clean, maintainable solutions.Nice to Have / Bonus Qualifications:, • Experience in AdTech, MarTech, or marketing analytics platforms., • Background in data visualization or interactive analytics using tools like D3.js or Recharts., • Familiarity with AI/ML-driven personalization, A/B testing frameworks, or campaign experimentation systems., • Experience building and maintaining design systems or component libraries., • Familiarity with performance optimization techniques (lazy loading, bundle analysis, caching).Moxxi Values & Competencies:, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range$150,000—$180,000 USD

Job DescriptionDescription: Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 JN -042026-106337 #LI-JS1 Responsibilities: • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our engineering team is at the forefront of revolutionizing healthcare technology by building and scaling the systems powering our suite of healthcare products. We are looking for a talented Senior Backend Engineer to help us craft user-friendly, responsive, and secure interfaces that operate reliably at scale and enhance the healthcare experience for both providers and patients. If you are a builder and love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Design and influence decisions that affect our backend architecture for scalable, AI-powered healthcare solutions * Be a part of a tremendously fast-paced team that celebrates large ambition and making decisions quickly * Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask, and other frameworks * Lead technical planning and execution for new features, balancing technical feasibility, usability, and business impact * Establish and enforce best practices for code quality, testing, and deployment * Mentor junior engineers, guiding backend engineering, design patterns, and coding standards * Collaborate with product managers, designers, and clinical experts to translate requirements into intuitive and efficient UI solutions * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 4+ years of professional experience in software development industry experience * Strong Backend Programming Skills (We use Python and Go) * General Understanding of Containers and Cloud (Docker, Kubernetes) * Track record of strong execution and ability to drive work from ideation to successful implementation * Strong debugging and problem-solving skills and a history of demonstrated resourcefulness * Strong communication skills and the ability to interface with both technical and non-technical stakeholders * Experience in environments where you have to ship quickly. We move fast and deploy daily. * Excitement to work in a high-impact field with a builder attitude! * Attention to detail around user experience and customer needs * Growth mindset and a motivation to grow Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $140K - $230K

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our engineering team is at the forefront of revolutionizing healthcare technology by building and scaling the systems powering our suite of healthcare products. We are looking for a talented Staff Backend Engineer to help us craft user-friendly, responsive, and secure interfaces that operate reliably at scale and enhance the healthcare experience for both providers and patients. If you are a builder and love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Influence and craft the roadmap for teams, ensuring technical excellence and an engineering organization that scale reliably with the business * Be a part of a tremendously fast-paced team that celebrates large ambition and making decisions quickly * Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask, and other frameworks * Lead technical planning and execution for new features, balancing technical feasibility, usability, and business impact * Design and refine systems to enforce best practices for code quality, testing, and deployment * Collaborate with product managers, designers, and clinical experts to translate requirements into intuitive and efficient UI solutions * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 8+ years of professional experience in software development industry experience * Strong Backend Programming Skills (We use Python and Go) * General Understanding of Containers and Cloud (Docker, Kubernetes) * Strong debugging and problem-solving skills and a history of demonstrated resourcefulness * Track record of making successful architectural decisions to deliver multi-month, high-impact projects * Strong communication skills and the ability to interface with both technical and non-technical stakeholders * Experience in environments where you have to ship quickly. We move fast and deploy daily. * Excitement to work in a high-impact field with a builder attitude! * Attention to detail around user experience and customer needs * Growth mindset and a motivation to grow Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $200K - $250K

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 Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Trexquant is looking for a senior technologist to lead the design and evolution of our core trading, research, and simulation infrastructure. This role involves architecting and building scalable, low-latency systems in Linux environments, collaborating closely with quantitative researchers & engineers, and driving next-generation simulation and execution platforms. Responsibilities • Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm’s Order Management System (OMS)., • Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives., • Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security., • Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap., • Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading., • Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable., • Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field., • 6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments., • Expert-level proficiency in one of these programming languages: C++ (C++17/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++., • Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments., • Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies., • Experience designing or supporting OMS, execution, or comparable trading infrastructure., • Excellent communication skills and ability to collaborate effectively across engineering and research teams., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents., • Pre-tax commuter benefits., • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description This is a remote position. Data Architect – AI & Cloud Data Platforms We are seeking a highly skilled Data Architect to design and lead the development of modern data ecosystems that support AI-driven solutions and client-facing applications. This role will be responsible for building scalable data architectures across cloud platforms, enabling advanced analytics, and supporting machine learning and AI initiatives. The ideal candidate has deep experience with AWS and Azure, strong expertise in data modeling and pipeline design, and a proven ability to integrate data across platforms including BI tools and CRM systems such as DealCloud. Key Responsibilities • Design and implement scalable, cloud-based data architectures across AWS and Azure, • Develop and maintain enterprise data models (conceptual, logical, and physical), • Build and optimize data pipelines (ETL/ELT) to support analytics, reporting, and AI/ML use cases, • Architect solutions that integrate data from multiple sources, including CRM systems (DealCloud) and third-party platforms, • Partner with analytics teams to enable reporting through Tableau and Power BI, • Define and enforce data governance, quality, and security standards, • Design data frameworks to support AI/ML workloads, including feature engineering and model-ready datasets, • Collaborate with application architects and engineers to ensure seamless data integration within applications, • Optimize performance of data warehouses, data lakes, and real-time data processing systems, • Evaluate and recommend tools and technologies to enhance the data ecosystem RequirementsRequired Qualifications • 7+ years of experience in data architecture, data engineering, or related roles, • Strong experience with cloud data platforms (AWS and/or Azure), • Expertise in data modeling, data warehousing, and data lake architecture, • Hands-on experience with ETL/ELT tools and data pipeline design, • Experience supporting BI tools such as Tableau and Power BI, • Strong SQL skills and experience with at least one programming language (Python preferred), • Experience integrating data from CRM platforms (DealCloud or similar), • Ability to translate business needs into scalable data solutions, • Strong collaboration skills across engineering, analytics, and business teams, • Strategic mindset with the ability to design for future AI scalability, • Strong attention to data integrity, performance, and usability

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Clinical staff is composed of two core groups: Primary Therapists, who provide 1:1 care, and Group Facilitators (GFs), who lead group-based sessions that are foundational to the care journey. GFs are our largest and most distributed clinical workforce, and enabling them to deliver consistent, high-quality care at scale is one of our most important and hardest problems. The Facilitator Success team builds the systems that power how this care is prepared, delivered, and improved over time. This is not just about internal tooling, it's about shaping the operating system for group-based care. You'll build products that help facilitators show up to every session informed, confident, and effective. That includes everything from making a client's full care history and context accessible in the right moments, to generating structured session summaries, to developing playbooks and workflows that guide facilitators in real time. You'll also tackle the challenge of making facilitator care quality more measurable to turn complex and often unstructured clinical interactions into signals that can drive feedback, coaching, and continuous improvement. If you care about building tools that empower clinical staff to focus on care, not clicks, this is the team for you. Responsibilities • Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL, • Set strong patterns for our growing team to follow, • Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions, • Be an owner. Collaborate with product and design to iterate to top notch product solutions, • Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work, • Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods, • Ensure our clients can always access the care they need by participating in our on-call rotationRequirements, • 5+ years of professional experience developing user facing web applications that deliver meaningful business value, • Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript, • Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations, • Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications Additional Information The total target base compensation for this role will be between $170,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Clinical staff is composed of two core groups: Primary Therapists, who provide 1:1 care, and Group Facilitators (GFs), who lead group-based sessions that are foundational to the care journey. GFs are our largest and most distributed clinical workforce, and enabling them to deliver consistent, high-quality care at scale is one of our most important and hardest problems. The Facilitator Success team builds the systems that power how this care is prepared, delivered, and improved over time. This is not just about internal tooling, it's about shaping the operating system for group-based care. You'll build products that help facilitators show up to every session informed, confident, and effective. That includes everything from making a client's full care history and context accessible in the right moments, to generating structured session summaries, to developing playbooks and workflows that guide facilitators in real time. You'll also tackle the challenge of making facilitator care quality more measurable to turn complex and often unstructured clinical interactions into signals that can drive feedback, coaching, and continuous improvement. If you care about building tools that empower clinical staff to focus on care, not clicks, this is the team for you. Responsibilities • Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL, • Set strong patterns for our growing team to follow, • Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions, • Be an owner. Collaborate with product and design to iterate to top notch product solutions, • Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work, • Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods, • Ensure our clients can always access the care they need by participating in our on-call rotationRequirements, • At least 3 years of professional experience developing user facing web applications that deliver meaningful business value, • Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript/Typescript, • Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations, • Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications Additional Information The total target base compensation for this role will be between $155,000 and $195,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

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 DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking a highly motivated plasma physicist to join our team, focusing on the analysis, simulation, and optimization of the divertor region of a stellarator magnetic field. The ideal candidate will possess a strong background in plasma physics, with a particular emphasis on plasma fluid models, neutral particle models, and/or atomic processes within plasmas. Experience with the boundary of fusion devices is a plus. You will work on a dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for the simulation of fluid plasmas within complex magnetic edge topologies., • Conduct simulations and analyses of collisional edge plasma in stellarators, coupled with neutral-particle and atomic physics models., • Collaborate with cross-disciplinary teams to design stellarator divertor systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on design, optimization, and simulation results., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or bachelor’s degree in a relevant field with 5+ years of experience or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with the boundary of fusion devices, especially stellarators or tokamaks, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, and MATLAB)., • Familiarity with simulation tools used in plasma physics research. Preferred Skills: • Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and EMC3-EIRENE., • Experience working on an integrated plasma physics experimental device, ideally a stellarator or tokamak., • Understanding of plasma fluid models and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience in high-performance computing (HPC) environments.. Personal Attributes: • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $170,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionRole: Senior Quantitative AnalystRole DescriptionThe Market Data Solution (MDS) and Risk Master (RM) businesses are seeking a high caliber candidate to join as a Senior Quantitative analyst their Mumbai office. This is a high-profile role which requires strong modelling skills coupled with a strong commercial awareness and excellent communication skills. Knowledge of market data processes or data modelling would be very useful but is not essential.Reporting to the Business Owner for MDS and RM, the key responsibilities are as follows • Develop APIs to for both open source and bank in-house quantitative libraries and market risk engines for both calibration as well as valuation use cases, e.g., • Zero Curve Calibration / Bootstrapping, • Hull White Model Calibration, • Put-Call Parity Analysis on Market Vol Data, • SABR Model Calibration, • Cubic Spline Interpolated Zero Rates, • Credit Curve (Survival Probabilities) Calibration / Bootstrapping, • Risk Factor de-composition: Regression of NonModellable Z-Spread Risk Factor on comparable Modellable Z-Spread Risk Factors to determine Modellable Explained and NonModellable Unexplained Risk Factors, • PCA for Curve Validation, • FX Stochastic Volatility Model: Heston implementationThe role involves the integration of these APIs into the GoldenSource data model. To do this effectively the successful candidate will need to understand these models in the quant or market risk libraries, • Work with the development and pre-sales teams to prototype solutions for Market Risk and FRTB Use cases, e.g., • FRTB Risk Factor Eligibility Test, • Shock generation for Equity Vol Smile using gap filling, • Reconstruction of Equity Index time-series using proxy weightings, • Aggregation of risk sensitivities in Risk Warehouse for the standardized approachTo be considered for this role you will need to have the following:, • MSc or PhD in Financial Mathematics, Mathematics or Physics or equivalent work experience, • Strong Knowledge of option pricing theory and financial mathematic, • Experience in a quantitative role for interest rates, FX or equities gained in an investment bank, • Experience in model’s development, programming and maintenance of model’s libraries, • Knowledge of derivatives products, • Strong programming skills in Python, • Good data modelling skills including some experience with RDMS, • Strong Excel, • Knowledge of Hadoop or Java would be good but not essential, • Prior experience of Open Gamma Strata or QuantLib would be good but not essentialYou will also need strong communication skills and the ability to articulate complex problems and solutions to all audiences. In addition, you should enjoy working in a fast-paced environment and be able to work to tight timescales. Excellent analytical skills with a strong focus on accuracy of information coupled with determination are also desirable skills.

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 Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring for an experienced, driven Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets. Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility. Key Responsibilities • Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters., • Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases., • Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems., • Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust., • Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Solidity Expertise: 3+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection., • Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths., • DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols., • Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits., • Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns., • SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages. Preferred / Desirable Experience • Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm)., • Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants., • Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved., • RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems., • Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job DescriptionRole Summary • Responsibilities: You will be responsible for leading a range of projects that involve devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector, • Salary: $100,000 per annum, • Benefits: Hybrid working options, generous holiday allowance, flexible working hours, private medical and dental insurance, 401K plan, life insurance, full funding for external training, comprehensive travel insurance and more, • Role Type: Full-time, permanent, • Start Date: We are currently recruiting for start dates throughout 2026 and you will be asked to state your preference on your application form The Senior Statistician will lead statistics projects, working very closely with the Consultant or Team Lead as well as colleagues from all specialities, to ensure that statistics projects are delivered to an exceptionally high standard, on time and in line with client expectations. This involves providing strategic advice to clients at project initiation, supervising the project team and regular interaction with external stakeholders by teleconference, email and in person. The Senior Statistician will also be central to the quality control of the project, involving the review of colleagues' work and the provision of constructive feedback. Our team typically work on several projects at one time and the results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. You will therefore be exposed to a wide variety of our service and a broad range of therapeutic areas. To read more about our recent articles and publications, please visit our website: You will also play a key role in contributing to business development by developing and maintaining excellent client relationships and identifying opportunities to provide additional services to clients within projects. There may also be opportunities to line manage and mentor our Statistician Interns. Career Progression Senior Statisticians are supported to progress to the Consultant Statistician role. Consultant Statisticians manage a range of projects and have full responsibility for client communication on projects, as well as leading budgeting plans and business development efforts. In addition to technical project delivery, Consultant Statisticians line manage team members and have internal responsibilities spanning areas such as recruitment and training. To learn more about the personal and professional development opportunities at Costello Medical, explore first-hand career profiles from our colleagues about their experiences with the company: About Costello Medical Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access, and health economic and outcomes research. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies, and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017 and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: Requirements About You We are looking for individuals who are collaborative, self-motivated and enthusiastic, with a strong and demonstrable background in the HEOR sector. You will take pride in producing exceptionally high-quality work and will relish the opportunity to build successful client relationships. You will identify and capitalise on opportunities to go above and beyond for clients and exceed their expectations wherever possible. You will be someone who has a genuine desire to play an active role in the development of our growing team. You will enjoy using your experience to train and mentor others and will be skilled at delivering effective feedback to support your colleague’s professional development. You will thrive in a fast-paced environment, be highly organised and able to manage timelines across multiple projects. Additionally, you will be willing to step up and support your project team as needed. This role is suited to those who have professional experience, of typically no less than 2 years, in applying economic and mathematical modelling techniques within an industry setting, ideally within a pharmaceutical, medical devices or consulting company. Specifically, we are looking for candidates with experience: • Working directly with clients from project initiation to completion, • Leading a project team, including delegating tasks and managing the time of others coupled with the ability to manage timelines across multiple projects at once and the flexibility to respond to changing deadlines, • A degree level or higher qualification in a scientific or mathematical discipline (minimum GPA 3.3) is required. A focus on statistics and data analysis is essential, • The technical and mathematical ability, coupled with exceptional written and oral communication skills, to explain complex techniques and results to non-experts, and to teach and mentor others in the Statistics team, • An excellent understanding of and extensive experience in the R programming language, and the willingness and ability to rapidly develop your programming skills, • A willingness to trial, explore or recommend new software or techniques that may suit specific projects, • Exceptional attention to detail and a high degree of accuracy in technical and written work, along with the ability to maintain exceptional customer service and the quality of deliverables under multiple competing demands, • The ability to use your initiative and work independently, in addition to working collaboratively within project teams, • A Masters degree or PhD in a scientific or mathematical discipline, • Experience with Stan, Python, SQL, or other programming languages used for data analysis, • A starting salary of $100,000 per annum, • A discretionary profit share bonus paid twice per year, • Private medical insurance with a company contribution, • Dental and vision cover, • 23 days’ vacation leave increasing by 1 day to a maximum of 27 days. 6 public holidays plus 1 floating holiday, • The chance to work from home for up to half of your working time, • Retirement savings via a 401k plan, • Paid funding for external education and study leave, • Life insurance, • Comprehensive travel insurance, • Flexible and reasonable working hours Then, our recruitment process includes a telephone interview with a member of the Talent Acquisition team, followed by an assessment for you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation you can prepare for in advance. Our standard recruitment process lasts around 1 month, however, this can be adapted if necessary. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide: Please note that, whilst we embrace AI to innovate and improve processes, your role may involve confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials. Visa Sponsorship We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. Therefore, you must have the right to work in the US independently from the company. However, we are able to consider those on a temporary visa, such as an OPT visa.

Job Description We are sharing a specialised part-time consulting opportunity for experienced bilingual software engineers with strong programming ability, clear technical communication in two languages, and the ability to create high-quality code-related technical content with precision and consistency. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, multilingual coding content creation, technical evaluation, and high-quality project execution. Selected professionals will apply their software engineering expertise to create code-related examples, write prompts and ideal responses in English and their native language, debug and explain code from visual inputs, follow technical instructions with precision, and contribute to high-quality technical deliverables. This opportunity is especially well-suited to detail-oriented bilingual engineers who are comfortable working across multiple programming languages and can produce natural, technically accurate content in multilingual contexts. Key Responsibilities Professionals in this role may contribute to: Multilingual Coding Content Creation • Create high-quality technical examples consisting of an image, a code-related prompt, and an ideal response, • Write prompts and responses in English and your native language with natural fluency, • Write, debug, and explain code based on screenshots, error tracebacks, architecture diagrams, flowcharts, and UI mockups, • Identify and fix bugs shown in code screenshots and terminal output, • Produce clean, well-commented code with proper error handling inside fenced, language-tagged code blocks, • Follow style guides, technical instructions, and formatting requirements with precision, • A Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related field, • Bilingual proficiency in English and one of the following languages: Arabic, Portuguese, Spanish, Korean, French, Chinese, or Russian, • Proficiency in one or more popular programming languages such as Python, JavaScript, Java, C, C++, or HTML/CSS, • Demonstrated professional or academic experience writing, reviewing, and debugging code, • Strong ability to explain technical concepts clearly in written form across both languages Preferred Qualifications, • Ability to read and interpret system architecture diagrams, flowcharts, and UI mockups, • Extremely high attention to detail and the ability to catch subtle bugs and logic errors, • Ability to work independently while maintaining consistent quality standards, • Reliable availability and consistent engagement across ongoing workflows Why This Opportunity, • Apply specialised bilingual software engineering expertise to high-impact technical work, • Contribute to multilingual coding, technical writing, and evaluation workflows, • Work on practical, detail-oriented assignments with strong commercial relevance, • Flexible remote work with structured expectations and competitive hourly compensation Contract Details, • Independent contractor role, • Fully remote with flexible scheduling, • Hourly compensation of $45–$70 per hour, • Minimum commitment of 20 hours per week, • Ongoing, consistent engagement expected, • Work involves creating and refining high-volume code-related content in a multilingual context, • Weekly payments via Stripe or Wise, • Work will not involve access to confidential or proprietary information from any employer, client, or institution, • Please note: We are unable to support H1-B or STEM OPT candidates at this time, • Application process includes resume submission and completion of the required interview and assessment By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job Description The Senior Analyst is responsible for a wide range of tasks/responsibilities, including but not limited to: maintaining and updating the Company’s proprietary valuation platform, underwriting both individual and portfolio acquisitions alongside the acquisitions group, and interfacing with asset management and investor reporting to assist in their reporting efforts. What You Can Expect to Do Financial Analysis: Perform valuations of property, portfolio, and enterprise-level cash flows. Model equity waterfalls, tax-credit waterfalls, and navigate complicated debt structures. Read and understand associated legal documents to ensure fidelity of corporate model. Market Analysis: Understand the Affordable Housing industry and gain deep knowledge of the various programs and regulations the Company utilizes and operates under. Use large data sets to perform analyses that inform valuation and modeling. Transaction Execution: Extract data from the corporate model and work with lenders, investors, and auditors to support corporate financing efforts. Assist acquisitions groups as necessary. What You Should Have • Excellent verbal and written communication, organizational, presentation and analytical skills, • Ability to effectively prioritize and handle multiple tasks under pressure, • Strong work ethic and attention to detail, • Experience or demonstrated interest in Real Estate finance, • Bachelor’s Degree in a technical field, • High Proficiency in Microsoft Excel required, • A strong analytical problem solver, naturally curious, and able to “sweat the details”, • Independent, internally motivated, with exceptional communication and organizational skills, • Eager to work in a fast-paced entrepreneurial environment, • Highly accountable: able to take ownership, meet deadlines, follow through, • Able to work collaboratively in a small team environment and work closely across different departments as necessary Standard Communities is a leading owner, investor, and developer of affordable and middle-income housing. As one of the largest owners of affordable housing in the U.S., we believe housing is a pathway to prosperity. We deliver high-quality, sustainable homes that foster community and offer residents the opportunity to build brighter futures. With over $5 billion in assets under management and a portfolio of more than 27,000 units across 190+ properties in 21 states + Washington, D.C., our team blends nationwide scale with local expertise. As a Certified B Corporation and California Benefit Corporation, we value high performance, social responsibility, and innovation. Headquartered in Los Angeles and New York, with offices across the country, we’re driven by a shared mission: to transform housing, empower residents, and strengthen communities. At Standard Communities, we don’t just build housing—we build opportunities. If you’re passionate about real estate, community impact, and professional growth, we’d love to hear from you. At Standard Communities, we value urgency in execution, precision in our work, and empathy in our interactions. These core principles guide us in how we build, collaborate, and grow together. Standard Communities is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided on the basis of qualifications, merit, and business need.

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 7+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview As an Options Trader at G-20 Group, you will be responsible for managing a discretionary options portfolio across a number of asset classes. You will work with a team of traders, quantitative analysts, and developers to generate superior risk-adjusted returns for the firm. This role offers a unique opportunity to contribute to the growth of a highly successful trading firm in a fast-paced and dynamic environment. Key Responsibilities • Develop, implement, and optimize options trading strategies across global markets., • Analyze market data and leverage quantitative models to identify profitable trading opportunities., • Monitor and manage risk exposures, ensuring strategies align with risk management protocols., • Collaborate with data scientists, quants, and other traders to refine and improve trading algorithms and strategies., • Stay up-to-date on market trends, news, and economic events that could impact options prices and volatility., • Execute trades and manage positions effectively, ensuring optimal execution and liquidity., • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university., • Strong background in options trading with a solid understanding of the options market and strategies., • Proven track record of generating consistent profits (PnL >$2m for more than 3 years)., • Experience with quantitative trading and the ability to apply data analysis to trading decisions., • Strong knowledge of financial markets, particularly options pricing, volatility, and risk management., • Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions., • Excellent communication and teamwork skills, with the ability to collaborate effectively across teams., • A results-driven, proactive, and self-motivated approach. Preferred / Desirable Experience • Proficiency in programming languages such as Python, C++, or similar (preferred). Right to work: This role can be based from our London, New York or Chicago offices. Only candidates who possess the pre-existing right to work in London or the US without requiring company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Responsibilities: • Work side by side with senior traders, • Learn about proprietary methodologies and trading systems that support an established trading business, • Real-time risk management in the form of trade entry and risk layoffs, • Build and maintain trading models, • Enhance existing trades; identify and pursue new opportunities, • Liaise between trading group, internal company departments, and OTC relationships, • 1+ years of experience in a trading role, • A degree in Mathematics, Statistics, Economics, Engineering or related field, • Ability to work night shift, • Strong work ethic and ability to learn quickly in a fast paced, high-pressure environment, • Detail oriented, organized and diligent, • Strong understanding of math, probability and statistics, • Proficient with Excel and VBA, • Proficient with SQL, Python, and statistical modeling; other programming experience is a plus DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Job Title: Python Game Developer (Panda3D) Job Type: Contract Location: Remote Job Summary: Join our customer's team as an expert Pyhton Game Developer (Panda3D), where youll contribute to cutting-edge AI training projects using one of the most robust and flexible open-source game engines. This specialized role focuses on harnessing Panda3Ds capabilities to deliver immersive, high-performance simulations compatible with both legacy and contemporary hardware. Key Responsibilities: Design, develop, and optimize 3D game simulations and environments using Panda3D for AI training applications. Collaborate with multidisciplinary teams to transform requirements into technical solutions. Implement, maintain, and debug Python and C++ codebases integrated with Panda3D. Contribute to version control workflows using GitHub to ensure smooth project collaboration. Ensure cross-platform compatibility and performance across diverse hardware configurations. Document architectural decisions, code, and processes clearly to support collaborative development. Actively participate in code reviews, brainstorming sessions, and team meetings, emphasizing exceptional verbal and written communication. Required Skills and Qualifications: Proven, hands-on experience developing with Panda3Dexperience with similar engines does not substitute. Advanced proficiency in Python and C++ programming languages. Strong command of GitHub for code management, branching, and pull requests. Deep understanding of 3D graphics pipelines, simulation logic, and cross-platform development. Exceptional written and verbal communication skillsclear documentation and collaboration are critical. Ability to work independently in a remote environment, meeting deadlines with minimal supervision. Demonstrated attention to detail and a problem-solving mindset. Preferred Qualifications: Prior game development experience for AI, simulation, or training purposes. Familiarity with optimizing 3D assets for performance across a range of hardware. Background in collaborative, distributed Agile environments.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Core Platform, you will lead a team of Platform Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. The Core Platform team is responsible for improving developer productivity, AI tooling, observability, shared services, and code quality in our core systems. Your work will directly shape how quickly we can turn ideas into impact for patients. You will help transform behavioral health care by building the platform behind our care model. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our Engineering, Data, and ML teams and define a vision for our Core Platform team. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Manage and mentor a growing team of Platform Engineers; foster a culture of technical excellence, accountability, and continuous improvement, • Lead execution, ensuring the team delivers high-quality, reliable solutions aligned with business priorities, including leading sprint ceremonies and roadmapping, • Own the team's roadmap, balancing near-term developer pain with long-term architectural investments, • Hire and develop a high-performing team through strong onboarding, coaching, and performance management, • Build and maintain shared application capabilities, including libraries, services, frameworks, and internal tooling, • Establish clear platform boundaries and contracts to avoid service sprawl and reduce cognitive load for product teams, • Measure impact using outcomes like developer velocity, onboarding time, reliability, codebase health, and platform adoption, • Identify bottlenecks and implement improvements to team workflows, tools, and development practices, • Work with Product and Engineering to sequence and deliver incremental architectural improvements without impacting feature development, • Own AI tooling adoption and best practices across Engineering Requirements • 2+ years managing and mentoring Platform Engineers, with a focus on execution and delivery, and 6+ years of engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work, • Experience being an effective cross-functional partner with Product, Engineering, Machine Learning, and Analytics, aligning work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • If you are not in NYC This role requires travel to our NYC headquarters once per quarter., • Experience leading a Core Services or Developer Experience team, • Familiarity with SPACE and DORA metrics, • Experience measuring AI developer tooling impactBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Compensation: #LI-HYBRID #LI-REMOTE Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Site Reliability Engineer (Azure) - this is a fully remote role for US or Europe based candidates (as long as they can work EST hours) We are a fast-growing software company supporting and developing Hedera, an open-source, proof-of-stake, EVM-compatible public ledger built for enterprise and Web3 use cases. Hedera is governed by a global council of industry-leading organizations across multiple sectors and regions, ensuring long-term stability, decentralization, and sustainability. About the Role We are hiring a Senior Site Reliability Engineer to join the HashSphere engineering team. HashSphere is a greenfield, enterprise-focused distributed ledger platform built on Hiero, designed for private and consortium deployments with a strong emphasis on security, privacy, and scalability. This role is hands-on and high impact. You will own the design, deployment, and reliability of mission-critical, multi-region infrastructure used by large organizations across financial services, supply chain, and healthcare. You will partner closely with product, security, and platform leadership to shape architecture, reliability strategy, and operational standards from the ground up. This is not a support role. We are looking for someone who has operated real systems at scale, measured outcomes, and taken end-to-end ownership. What You’ll Do * Design, build, and operate highly available, multi-region distributed systems with clear recovery strategies and tested RTO/RPO. * Partner with the Head of SRE to define the reliability roadmap, platform architecture, and operational standards. * Own large-scale Infrastructure as Code using Terraform, including reusable modules, multi-account patterns, and policy guardrails. * Operate and scale Kubernetes environments (EKS, GKE, or AKS) using GitOps practices (ArgoCD), Helm, and strong RBAC and network policies. * Build and maintain secure CI/CD pipelines, including blue/green and canary deployments, promotion and rollback strategies, and artifact integrity (SBOM, signing). * Define and improve SRE practices, including SLOs, error budgets, observability, and measurable reductions in MTTR/MTTA. * Work closely with product and engineering teams to translate customer and business requirements into reliable, secure platform services. * Contribute to the operational support and continuous improvement of customer-facing HashSphere deployments. WHAT YOU BRING Core Capabilities * Proven experience designing and building production-grade systems on Azure * Ability to take ambiguous requirements to structured technical solutions to delivered systems * Strong technical communication skills across engineering and non-technical stakeholders * High ownership mindset with a bias for action and accountability * Collaborative approach with a focus on building durable, scalable solutions Functional Expertise * Azure cloud services (networking, compute, identity, security, storage) * Terraform (infrastructure as code at production scale) * Programming experience in Go and/or Python * Experience building greenfield infrastructure environments * Distributed systems, high-availability architectures, or platform engineering * CI/CD and automation tooling for infrastructure lifecycle management Nice to Have * Kubernetes and container orchestration * Observability tooling (Prometheus, Grafana) * Workflow/orchestration platforms (Argo, Spacelift, or similar) Compensation & Package Equity & Tokens Performance Bonuses Health insurance & 401k for US employees only.

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! About the Role We are seeking a highly technical and hands-on Enablement Lab Engineer to design, build, and scale our cloud-based enablement lab platform. In this role, you will architect and deliver browser-accessible, on-demand lab environments to spin up complete networking and cybersecurity environments with the click of a button. You will work at the intersection of cloud automation, networking, SaaS integration, and front-end orchestration — transforming infrastructure into a seamless self-service enablement experience. The Product Enablement team's mission is to unlock our product's full potential through engaging learning experiences. You'll be architecting and building the foundational lab environment that enables us to do this. The lab product you create will be used by various audiences, including bite-sized labs delivered direct to end users and partners as part of sales enablement, and a modular lab environment used by Sales Engineers and internal enablement teams. To scope requirements and get feedback, you will collaborate within our team of content developers and data engineers, as well as product management, engineering, sales engineers and other enablement teams. To develop and deliver a finished product that meets the requirements, you will collaborate closely with our data engineers and content developers. This role combines elements of: * Lab Development Engineer (hands-on training environments) * Cloud Enablement Engineer (IaC, automation, platform reliability) * Network/Security Engineer (real-world infrastructure configuration) What You'll Do Design & Build Enablement Lab Platform * Architect and develop a browser-accessible lab front end (e.g., Guacamole or similar remote access technologies). * Build backend orchestration systems that allow users to: * Spin up/down VMs on demand * Deploy networking components * Reset environments * Enable/disable modular data scenarios * Create a scalable, multi-tenant lab environment for parallel user access. Cloud Automation & Infrastructure * Design and automate lab provisioning in AWS and/or Azure. * Use Terraform (or similar IaC tools) to provision: * Virtual machines * Networking infrastructure (VPC/VNet, routing, security groups) * IAM roles and access controls * Build reusable infrastructure modules and templates. * Implement automation for environment lifecycle management (provisioning, teardown, reset). Networking & Security Configuration * Configure VPN clients and secure connectivity between SaaS accounts and lab infrastructure. * Deploy and configure: * Virtual networking components * Firewalls and routing policies * Physical networking gear (switches, Wi-Fi access points, etc. as needed) * Windows VMs * Troubleshoot TCP/IP, DNS, routing, NAT, and policy configuration issues. SaaS & API Integration * Integrate lab orchestration with SaaS APIs to: * Provision tenant accounts * Configure policies * Enable features * Bind accounts to lab infrastructure * Implement secure authentication and automation workflows. Validation, Monitoring & Reliability * Develop validation scripts and health checks to verify: * VM health * Network connectivity * SaaS configuration state * Implement logging and error handling across the lab stack. * Build automation to detect and remediate failed lab deployments. * Optimize lab reliability, performance, and scalability. What You Bring Required Qualifications * 10+ years of experience in the Networking or Security industry * 5+ years of experience in cloud, networking, or automation engineering * Experience with building demo, training or enablement lab environments * Strong programming skills in Python (required). * Experience with backend development (Python, Go, Node.js, or similar). * Expert-level with Azure. * Deep experience with Terraform or other Infrastructure-as-Code tools. * Deep working knowledge of Linux command-line environments, including networking tools (tcpdump, curl, ip, netstat), package management, and system services * Strong PowerShell scripting experience for automation of Windows systems, VM provisioning, and SaaS/API interactions * Strong understanding of: * TCP/IP networking * VPN configuration * Firewalls and routing * SaaS architecture concepts * Experience building automated provisioning pipelines. * Experience integrating REST APIs into automation workflows. Preferred Qualifications * Networking or Security certifications (e.g. CCNA) * Experience with browser-based remote access platforms (e.g., Apache Guacamole). * Experience with GraphQL APIs * Familiarity with cybersecurity tools and secure network architectures. * Experience with containerization (Docker). * Experience building internal platforms or developer enablement tools. Why This Role Is Unique You won't just manage infrastructure — you'll build a modular lab product used by a range of audiences, including customers, partners, Sales Engineers and internal enablement teams. Your work will directly influence how effectively the field is able to communicate the technical value of our products to customers, using real-world scenarios. Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-GG1

Job DescriptionRo is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients in nearly every single county in the United States, including 99% of primary care deserts. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. The Role: At Ro, our mission is to provide world-class healthcare by putting patients first - and that mission depends on reliable, secure, and scalable systems. As a Staff SRE on the infrastructure team, you’ll sit at the core of that effort: owning the reliability of our production systems, hardening infrastructure and building tools that empower our engineers to ship safely and confidently. You will work across teams to drive uptime, performance and observability – partnering closely with product, platform and security engineers. From designing resilient systems to shaping incident response practices, this is a role for engineers who thrive on impact and care deeply about operational excellence.What You'll Do: • Design and implement resilient infrastructure to support high availability at scale, • Build and contribute to tools and platforms that streamline deployment, monitoring and recovery of systems, • Drive incident response and harness learnings, leading efforts to minimize downtime and improve MTTR, • Partner with engineering teams to bake best practices for reliability, resilience and observability into services, • Automate infrastructure workflows using IaC and other cloud native tools, • Champion a culture of operational excellence, guiding engineers through reliability practices and raising the bar across the engineering orgWhat You’ll Bring to the Team:, • Deep understanding of systems and infrastructure, with experience operating distributed services in production. We are mostly in AWS and leverage a lot of its primitives - EKS, RDS, Route53, S3, Elasticache to name a few, • Strong programming and automation skills using Go (bonus points for Python), • Proficiency with infrastructure as code - Terraform / Pulumi, • A passion for observability, with hands-on experience in metrics, logging, tracing using Datadog, • Strong cross-functional communication, able to collaborate with product, platform, security and other teams, • An operational mindset that puts reliability and resilience as a core product requirement, • A mission-driven attitude, motivated by the opportunity to make healthcare better.We’ve Got You Covered:, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the performance, reliability, scalability, and security of the company's data platform. The team builds and operates the foundational systems that power ingestion, transformation, analytics, and AI workloads at scale. This includes ownership of the underlying infrastructure for orchestration, compute, and storage systems that enable data engineering teams to build and deliver data products. We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience. About the role: As an Engineering Manager, you will lead a team of Software Engineers and Site Reliability Engineers responsible for the infrastructure that powers CoreWeave's data platform. You will own the reliability, scalability, and performance of core systems such as compute engines, orchestration frameworks, and storage layers. You'll partner closely with Data Engineering teams, as well as cross-functional groups including Production Engineering, Developer Experience, Security Engineering, and IT Operations to ensure the platform is robust, secure, and easy to operate. This role balances people leadership with deep technical ownership, including stepping in hands-on when needed to support critical initiatives. Who You Are: • 7+ years of experience in software engineering, infrastructure engineering, or data platform engineering roles, • 2+ years of experience managing engineering teams, including hiring, coaching, performance management, and career development, • Experience leading teams through the full software development lifecycle (SDLC), including planning, execution, and delivery of complex technical initiatives, • Experience running and evolving engineering processes (e.g., agile development, backlog management) to drive predictable execution and continuous improvement, • Experience setting team goals and metrics (e.g., OKRs) and holding teams accountable to outcomes, • Strong hands-on experience operating and scaling data platform infrastructure (e.g., Spark, Airflow, Iceberg, StarRocks) in production environments, • Deep expertise in Kubernetes and containerized software development, including cluster design, operations, and scaling in production environments, • Experience building and operating distributed systems with high availability and performance requirements, including SLOs and incident management, • Strong understanding of data platform architecture (compute, orchestration, storage) and experience driving reliability, performance, and cost optimization at the platform level, • Ability to contribute code and technical solutions when needed, with proficiency in at least one programming language (Python, Java, Go, Rust), • Experience supporting high-scale data workloads (e.g., large-scale Spark clusters, real-time ingestion platforms), • Experience working in environments with strict uptime and reliability requirements (e.g., ≥99.99% uptime), • Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX, • You love building and leading teams that operate critical infrastructure at scale, • You're curious about how to improve reliability, performance, and cost efficiency across complex data systems At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionWho you areAs a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers while we change the way everything gets built.As a Senior Platform Engineer, you bring experience across Site Reliability Engineering, DevOps, and Infrastructure Engineering. You take ownership of technical projects (ideally with prior experience solving similar problems) and provide thought leadership. You’re comfortable making architectural decisions, guiding other engineers, and helping set the technical direction of the product.Building products for the industrial automation space requires knowledge uncommon to most software engineering jobs. In your day-to-day, you’ll learn about a wide variety of industrial automation topics. About usCopia Automation provides best-in-class disaster and recovery technology for industrial automation.Our product brings modern developer tools to the OT space through our novel Git-based source control for automation professionals, with multiple delivery methods including self-hosted and fully hosted options. We are a well-funded startup with a growing list of happy customers throughout the industrial space.As a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers, while we change the way everything gets built. Why industrial automation?Manufacturing is powered by industrial automation—computerized systems and robotics running on PLCs. This ecosystem uses a unique graphical language that doesn’t work with typical developer tools like GitLab or GitHub. Instead, automation professionals rely on physical storage devices, incompatible tools, and incomplete solutions. When minutes of downtime can cost tens of thousands of dollars, better development tools are urgently needed. Engineering at CopiaThe Copia engineering team solves problems through collaboration, experimentation, and ownership. We pair on tough issues and look for ways to test our assumptions. You’ll join a team that encourages ownership and values pragmatic solutions, weighing short-term needs and long-term goals.Finally, we’re optimistic. We celebrate successes, support each other through unexpected challenges, and approach problems with a positive attitude.What you'll do: • Take ownership of challenging technical projects across cloud, on-prem, and bare metal environments, • Deploy and test our web application across various cloud providers and self-hosted infrastructures across Linux and Windows Server, • Develop tools that enable an efficient SDLC capable of delivering to cross-platform targets, • Work with modern infrastructure stacks, including Kubernetes, virtualization platforms, and hybrid cloud/on-prem, • Solve scaling and reliability challenges in our cloud offering as we onboard new customers, • Maintain a high bar for service availability and performance while handling customer data with best-in-class security practices, • Apply cloud-native design principles to architect infrastructure supporting real-world industrial workloads, • Provide technical guidance and help define the roadmap with time for deep engineering work and minimal interruptions, • Support our self-hosted customers as they onboard and operate our platformWhat you'll need:, • 5+ years of SRE/DevOps/Infrastructure experience, • Experience architecting and operating infrastructure on major cloud providers (AWS or similar), • Experience with modern container platforms such as EKS, AKS, or GKEExperience with one or more programming/scripting languages including Go, Python, or Typescript, • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation, • Knowledge of cloud security best practices, • Experience monitoring infrastructure using log/monitor/alert suites such as Datadog, Prometheus, OpenTelemetry, GrafanaNice to haves:, • Experience using Service Level Objectives (SLOs), • Experience operating secure multi-tenant environments or multi-tenant architectures, • Experience running workloads on bare metal or Talos OSExperience with virtualization platforms such as VMWare or Nutanix, • Experience with configuration management tools such as Packer and AnsibleInterest or experience in manufacturing and hardware innovation (EE or ME), • Interest or experience in industrial automation and PLCsExperience working in compliant environments including SOC2 or ISO27001Benefits include unlimited PTO, employer-subsidized healthcare through Aetna, commuter benefits, in-office lunches, and more! Full-time, permanent employees also receive generous equity packages. This position is hybrid out of our New York City HQ.Come join us!Copia is growing extraordinarily fast! Join a best-in-class start-up with huge amounts of upside and impact. Our headquarters is in New York City.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Core Platform, you will lead a team of Platform Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. The Core Platform team is responsible for improving developer productivity, AI tooling, observability, shared services, and code quality in our core systems. Your work will directly shape how quickly we can turn ideas into impact for patients. You will help transform behavioral health care by building the platform behind our care model. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our Engineering, Data, and ML teams and define a vision for our Core Platform team. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Manage and mentor a growing team of Platform Engineers; foster a culture of technical excellence, accountability, and continuous improvement, • Lead execution, ensuring the team delivers high-quality, reliable solutions aligned with business priorities, including leading sprint ceremonies and roadmapping, • Own the team's roadmap, balancing near-term developer pain with long-term architectural investments, • Hire and develop a high-performing team through strong onboarding, coaching, and performance management, • Build and maintain shared application capabilities, including libraries, services, frameworks, and internal tooling, • Establish clear platform boundaries and contracts to avoid service sprawl and reduce cognitive load for product teams, • Measure impact using outcomes like developer velocity, onboarding time, reliability, codebase health, and platform adoption, • Identify bottlenecks and implement improvements to team workflows, tools, and development practices, • Work with Product and Engineering to sequence and deliver incremental architectural improvements without impacting feature development, • Own AI tooling adoption and best practices across Engineering Requirements • 2+ years managing and mentoring Platform Engineers, with a focus on execution and delivery, and 6+ years of engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work, • Experience being an effective cross-functional partner with Product, Engineering, Machine Learning, and Analytics, aligning work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • If you are not in NYC This role requires travel to our NYC headquarters once per quarter., • Experience leading a Core Services or Developer Experience team, • Familiarity with SPACE and DORA metrics, • Experience measuring AI developer tooling impactBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Compensation: #LI-HYBRID #LI-REMOTE Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionAbout the Role We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure. What You'll Do • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets., • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities., • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment., • Collaborate with engineering and trading teams to deploy and monitor strategies in live production., • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.What We Look For, • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies., • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality., • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets., • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities., • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.Nice to Have, • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA)., • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact)., • Track record of successful signal ideas contributing to live PnL.Summary, • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you. Pay Range: • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

Job Description Position Summary A client of AlphaStaffHCM is seeking an experienced Photonic Integrated Circuit (PIC) Test Engineer to test, evaluate and analyze the photonic devices for market and internal quantum applications. This role will collaborate closely with the PIC design and fabrication team to iterate and optimize out internal PDK, customized devices. The test work should be summarized to debug with design team and fabrication team. Key Responsibilities Testing & Characterization • Oversee optical and electrical characterization of fabricated PICs, analyzing performance against design targets., • Identify and implement design or process improvements based on test data., • Develop automated test procedures where applicable., • Collaborate with the fabrication team to estimate the fabrication robustness of the PDK and customized design., • Collaborate with the design team to analyze each fab run and iterate for next run. Required Qualifications • Ph.D. or master’s degree in electrical engineering, Applied Physics, Photonics, or related field., • 3+ years of hands-on experience in PIC test on fiber optics and free space optics, and wafer level testing, • 1+ years of experience with high-speed EOM Characterization with VNA/LCA., • Programming skills for data analysis and automation (Python, MATLAB)., • Strong knowledge of waveguide theory, coupling mechanisms, electrical and photonic device physics. Preferred Qualifications • Experience in quantum and nonlinear photonic systems or related applications., • Experience in packaged hybrid photonic/electronic chip test., • Experience in yield estimation and defect analysis., • Experience in lab equipment remote control and automated test. Key Attributes • Strong communication skills and the ability to influence across teams., • Passion for innovation and pushing the limits of photonic technology. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

Job Description Senior SAS Viya Developer / SAS Platform Migration Lead Experience: 10+YearsRole Overview We are seeking a Senior SAS Viya Developer / SAS Platform Migration Lead to drive large-scale SAS Enterprise Guide (EG) to SAS Viya migration initiatives for enterprise clients in the Property & Casualty Insurance domain. This role requires strong expertise in SAS programming, SAS Viya architecture, CAS processing, and data platform modernization. The individual will lead migration strategy, technical execution, and stakeholder engagement while working in a global delivery model with onshore and offshore teams. The ideal candidate will combine deep technical SAS expertise with leadership capabilities, enabling them to drive migration programs, optimize legacy code, and implement modern analytics solutions on the SAS Viya platform. Key Responsibilities SAS Platform Migration Leadership • Lead and execute SAS Enterprise Guide (EG) to SAS Viya migration programs across enterprise analytics platforms., • Assess current SAS EG codebases, workflows, and data pipelines to determine migration complexity and dependencies., • Develop migration frameworks, playbooks, and automation strategies to streamline transition to SAS Viya., • Convert legacy SAS programs to Viya-compatible architecture and optimize for CAS (Cloud Analytic Services) processing., • Analyze the existing SAS EG environment, processes, and infrastructure., • Develop detailed migration roadmaps, timelines, and implementation strategies., • Identify migration risks and develop mitigation strategies., • Convert SAS EG programs into Viya-compatible code and architecture., • Optimize SAS workloads for distributed CAS processing., • Integrate SAS Viya with data platforms, APIs, and enterprise systems., • Develop and execute testing frameworks for migration validation., • Conduct parallel runs and result reconciliation between EG and Viya environments., • Validate data accuracy, performance improvements, and process integrity., • Work closely with client stakeholders, architects, and data teams to ensure business requirements are met., • Provide technical advisory on SAS modernization strategies., • Lead and mentor onshore and offshore SAS engineering teams., • Coordinate development tasks across dual-shore delivery models., • Conduct code reviews, technical governance, and best practice enforcement., • Develop migration documentation, best practices, and operational guides., • Create training materials for teams transitioning to SAS Viya., • Monitor post-migration performance and system stability., • Identify opportunities to optimize SAS workloads and analytics pipelines. SAS Technologies • SAS Base Programming, • SAS Enterprise Guide (EG), • SAS Viya Platform, • SAS Studio, • SAS Visual Analytics, • Data modelling and data architecture, • ETL and data pipeline development, • Performance optimization for analytics workloads, • Git / version control systems, • CI/CD pipeline integration, • Experience with AWS, Azure, or GCP environments, • Strong understanding of Property & Casualty (P&C) Insurance analytics., • Experience supporting actuarial, underwriting, risk modeling, or pricing analytics is highly preferred., • Strong analytical and problem-solving capabilities, • Excellent stakeholder communication skills, • Ability to lead cross-functional global teams, • Experience managing client-facing engagements, • Strong project planning and execution abilities, • 10+ years of experience in SAS programming and analytics platform development., • Hands-on expertise in SAS Enterprise Guide and SAS Viya environments., • Experience leading SAS platform modernization or migration initiatives., • Demonstrated ability to work with global onshore/offshore delivery teams., • Experience working directly with enterprise clients and business stakeholders. Bachelor's or Master's degree in one of the following: • Computer Science, • Statistics, • Data Science, • Engineering, • Mathematics, • SAS Certifications (Base SAS, Advanced SAS, SAS Viya), • Experience with Python or R for advanced analytics, • Experience with Agile / Scrum delivery models, • Previous experience leading large-scale analytics platform migrations, • Full-time position, • Hybrid work model (US / Canada locations), • Collaboration with global delivery teams, • Occasional travel may be required for client engagements