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Job DescriptionRemote / Snowflake / AWS / Azure This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $165,000 - $210,000 per year A bit about us: We are unlocking business value from data. This team designs and builds modern analytics and AI solutions that turn complex data challenges into actionable insights and measurable growth. By managing data applications from strategy through to production, they help organizations achieve faster, smarter decisions that fuel innovation and sustainable success. Why join us? Joining this company means being part of a forward-thinking team that leverages cutting-edge AI and data technologies to drive meaningful business impact. Employees thrive in a culture of innovation, continuous learning, and collaboration, where they contribute to transformative projects that accelerate client success and foster personal growth. This environment offers opportunities to work with top-tier clients, solve complex challenges, and stay at the forefront of data engineering and AI advancements. Remote first with casual, award-winning small-business work environment Bonus Premium health, dental, and vision insurance Collaborative and autonomous culture Generous PTO + 10 holidays Professional development through advanced training and certifications Job Details You will be joining a newly formed Managed Services team that will maintain the customer infrastructure once the platform has been built and deployed. You are someone who comes from a DevOps, DBA or Solutions Architect background with most of your experience in infrastructure and operations (managing enterprise data platforms). Your role will include: Leading cloud-native data platform implementations and managing complex projects for enterprise clients. Architecting and implementing large-scale data platform projects on Snowflake, AWS, and Azure, driving strategic technical leadership for cloud-native solutions Leading data migration initiatives to cloud platforms including Snowflake and Redshift, ensuring smooth integration of data lakes, data warehouses, and distributed systems Optimizing platform performance and automation by identifying opportunities for enhancement and leading performance optimization for client data platform capabilities Establishing robust security frameworks, implementing industry best practices and security standards, including comprehensive Data Governance across client environments Snowflake SnowPro Core certifications and strong Python skills for automation and operational efficiency are preferred. Any experience with Databricks is welcomed but not a must. You also have been in a client-facing or consultative position working with multiple clients at one time and partnering with cross-functional teams internally. This organization is scaling rapidly and is the premier Snowflake vendor. This is an opportunity to join and continue to grow with the organization. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. 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Come work for a stable organization with a solid plan for growth. Well known Life client has a great opportunity for a talented Actuary who will lead rate-setting and manage pricing for current MYGA/FIA products as well as ensure profitable growth of the company’s annuity book through collaboration with corporate functions. The ideal candidate is an FSA or near-FSA with 7+ years of actuarial experience in life and annuity insurance. Must have a strong understanding of annuity products, the ability to solve complex & ambiguous problems, and proficiency in MG ALFA and Python. Individual annuity pricing experience is a plus. (#57884) Compensation: • Salary range of 170-190K Locations:, • Austin, TX, • Remote

This role could be a major step up in your career. As an Actuarial Associate, you will perform profitability analyses, assist with product development, and help identify emerging trends & risks. The ideal candidate would be a student actuary, ACAS or career ACAS with 4-7 years of actuarial experience, including a strong commercial lines pricing background who can work well with underwriters & non-actuaries. Must possess some business acumen, be an individual contributor, and have strong SQL skills. Experience with R/Python a plus. (#57922) Compensation: * Salary range of $125-155K Locations: • Remote, • San Diego, CA

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Out-of-Home (OOH) is the fastest growing channel in advertising. From billboards to retail media to urban panels, 98% of us see at least one OOH advertisement every week. It’s a part of life. As the pioneer in OOH technology, we build solutions that help brands find their audience in the right place at the right time, on digital signage networks around the corner, or around the world. About us: Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight. From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestlé, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar. With the recent acquisition of ADstruc, a leader in traditional OOH planning and buying software, Vistar Media enhances its comprehensive suite for OOH media. For nearly 15 years, ADstruc has streamlined the planning, buying, and selling workflow for traditional OOH, allowing agencies to focus on strategy, creativity, and ROI. By integrating ADstruc’s capabilities, we are committed to providing an unparalleled service to the OOH community, ensuring seamless and efficient solutions that drive creativity and results for our clients. We are looking for a passionate Backend Engineer to join our Traditional OOH department. This role will focus on building out and scaling ADstruc as an independent platform, with plans for eventual integration into Vistar’s existing infrastructure. Additionally, you will help expand ADstruc’s capabilities internationally. You will work closely with our engineering, product, DevOps, and security teams to ensure robust performance and seamless user experiences. \n What you'll do • Take a technical leadership role on features and small teams., • Design, develop, and maintain backend services and infrastructure., • Develop maintainable, effective, and efficient solutions., • Maintain a high level of productivity while making significant contributions to the ADstruc/Vistar platform code base., • Participate in code reviews and provide mentorship through pair programming., • Work directly with the Product team on project planning and discovery., • Write well-designed, well-tested code., • Troubleshoot, debug, and upgrade existing systems. What experience we're looking for: • 7-14+ years of relevant work experience in software development., • Bachelor's degree in a technical field (e.g. engineering, computer science, etc.), or Bachelor's degree in any field and 7+ years of professional experience working as a Software Engineer., • Proven ability to architect scalable and maintainable backend solutions., • Strong knowledge of backend architecture, including service-oriented architecture, APIs, testing, ORMs, relational databases (PostgreSQL/PostGIS), and AWS (including AWS Lambda)., • DevOps, Containerization, and Infrastructure as Code experience., • Experience processing large amounts of data and developing large-scale solutions., • Experience in at least two of the following is preferred, but not required: PostgreSQL, AWS, PHP (Symfony framework), Python, TypeScript. What we offer: • Flexible and fun start-up environment and culture, • Comprehensive health benefits, • Unlimited vacation and summer Fridays, • A large entertainment budget for virtual team building (and frequent happy hours and team outings once it's safe for those), • Sponsored volunteer events, • Opportunities for team and project leadership, • A great bunch of people to work with and learn from \n If you’re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team… we’ll see you out there. Recruiting fraud is a serious issue facing jobseekers. Please be aware that Vistar Media would never require personal information (such as bank account information) during the interview process. Should an employee from Vistar Media reach out to you, that communication will come from an @___ email address. During a typical interview process, you will have several phone, video, and/or in-person interviews with multiple Vistar Media employees before a hiring decision is made. We do not require payment from applicants for training or other costs incurred, nor do we offer compensation before hiring.

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration • Collaborate with and mentor your team of analysts, developers, and data architects., • Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices., • Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability., • Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing., • Oversee monitoring and alerting systems to proactively identify and resolve potential issues., • Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Required: • Education: Bachelor’s degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field., • Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology)., • Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis., • Proficiency with modern web and cloud (AWS or GCP) technologies., • Strong understanding of U.S. healthcare policy and value-based reimbursement models. We invest in our team's success and well-being. Here’s what we offer: • Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match., • Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents., • Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: • Identified over $100 million in actionable annual savings through advanced algorithms., • Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions., • Reduced data processing time by over 90% through advanced technology and automation., • Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: (610) 668-1961 | Fax: (844) 965-9789

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you. ## What to Expect As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - Schedule: Remote and asynchronous—set your own hours - Commitment: ~20 hours/week - Duration: Through December 22nd, with potential extension into 2026 ## What You’ll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You’ll Bring - Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - Bonus: Contributor to ML benchmarks - Location: MUST be based in the United States ## Compensation & Terms - Rate: $80-$120/hr, depending on region and experience - Payments: Weekly via Stripe Connect - Engagement: Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Key Responsibilities** - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmar

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves using coding agents to perform a variety of realistic coding tasks on real world codebases. * * * You are good fit if you: - Have extensive experience using coding agents as part of your software engineering workflow (codex, claude code, etc.). - Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python. - Contributions to open source projects. - Extensive work on robust personal projects that are shared publicly on GitHub. - Hold a Computer Science degree from a prestigious university in the U.S., Canada, U.K., Australia or New Zealand. - Currently located in the U.S., Canada, U.K., Australia or New Zealand. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 2 weeks, with potential for extension. * * * Role Start Date - This role will begin early October with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

P&C Reinsurance Actuary opening in NY, PA, IL, or MN. Perform reinsurance pricing, stochastic modeling, and portfolio optimization analysis involving large account Property, Casualty, Professional Liability, and/or Cyber lines; collaborate and communicate strategic insight and pricing results with key shareholders. Ideal candidate is FCAS, ACAS, or near ACAS with 5-12 years of any P&C pricing experience; must be dynamic, personable, and articulate; exposure to R, Python, or SQL a plus. (PR12960)

Job Summary We are currently seeking a Production Engineer/Linux Systems Engineers/Application Support for one of our automated trading desks. As a part of this team, you will have the opportunity to work closely with trading strategy and infrastructure development teams and be an important part of getting new technologies and strategies configured and deployed. You will work directly with our technologists, traders and quantitative research analysts to develop tools to monitor and support the production environment on a highly automated trading desk as well as developing and maintaining software build tools on Linux. You will have the opportunity to learn market microstructure and how the system setup and system risk relates to the trading. In this role you will: Develop scripts for monitoring the state of the production environment and its dependencies for an automated trading desk Work with the Platform Engineering team to assist in server imaging, testing and deployment Act as a liaison between the trading desk and network, security, market data and platform teams for system level production issues and new setups Monitor and support a highly distributed production system Provide multi-level support for traders, strategists and quantitative researchers What you can expect from us: Real Impact: You’ll be designing and optimizing systems that process massive amounts of data, ensuring high performance and stability. You’ll see how your contributions towards developing and supporting leading-edge hardware and software solutions make a firm-wide impact that makes us all smarter, faster, and better. Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions. Growth: For many of our roles, we don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at client. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow. Technical: • FAST pace, Automated trading desk, work very closely w/trading strategies, infrastructure development, multi-level support, • OS up to application, L1-L3 issues, mix of systems, automation, DevOps support, • Linux preferred, python, bash must haves - have to have scripting, • On-Prem, • 2+ yrs professional experience (7-10 sweet spot), • Prometheus/Grafana - good, NOT required Qualifications: • A Bachelor’s degree in Computer Science or a related discipline, • Demonstrated proficiency in scripting languages (Python, bash, shell) required, • Strong interpersonal and communication skills for working with traders, quants and other developers required, • Ability to work in a fast paced environment required, • Excellent quantitative skills are strongly preferred, • Good understanding of financial instruments and markets is a plus, • Ability to work in office 5 days per week

Job Title: Senior Marketing Data Analyst Company: Pond Lehocky Location: Philadelphia, PA (MUST BE IN THE PHILADELPHIA AREA, ROLE REQUIRES IN-OFFICE DAYS) About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers’ compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement. Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance. Key Responsibilities: • Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports., • Analyze complex datasets to identify trends and develop actionable insights that align with business objectives., • Develop, own, and manage recurring analytical and reporting processes., • Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders., • Personal Attributes:, • Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly., • Eager to learn and embrace new technologies and solutions., • Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies., • Marketing Analytics:, • Familiarity with various marketing channels and their impact on business performance., • Knowledge of industry trends and best practices in marketing analytics., • Experience with experiment design, including A/B testing and multi-touch attribution modeling., • Expertise in analyzing marketing performance metrics and calculating ROI., • Statistical Modeling and Analysis:, • Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling, • Experience in data visualization and familiarity with Salesforce., • Knowledge of marketing research methodologies and tools., • Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing, • Experience in developing and implementing machine learning algorithms for predictive insights., • Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making., • Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.

Title: Data Scientist Duration: Direct Hire Location: Camden, NJ 08103 Schedule: Hybrid (Mon/Fri WFH, onsite Tues-Thurs) Interview Process: 2 rounds, virtual (2nd/final round is a case study) Salary Range: $95-120k/yr (with benefits) Must haves: • 1yr min professional/post-grad Data Scientist experience, and knowledge across areas such as Machine Learning, NLP, LLMs, etc, • Proficiency in Python and SQL for data manipulation and pipeline development, • Strong communication skills for stakeholder engagement, • Bachelor's Degree Plusses • Master's Degree, • Azure experience (and/or other MS tools), • Experience working with healthcare data, preferably from Epic, • Strong skills in data visualization, dashboard design, and interpreting complex datasets Day to Day: We are seeking a Data Scientist to join our clients analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision-making. You will work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders. Key Responsibilities • Develop and implement machine learning models for predictive analytics and clinical decision support., • Apply NLP and LLM techniques to extract insights from structured and unstructured data., • Build and optimize data pipelines using Python and SQL for ETL processes., • Preprocess and clean datasets to support analytics initiatives., • Collaborate with stakeholders to understand data needs and deliver actionable insights., • Interpret complex datasets and provide clear, data-driven recommendations.

Role: Big data lead (With Healthcare PAYER background) Location: Philadelphia, PA (Hybrid – Onsite 3 days/week) Hire type : Contract Experience: 14+ years in Data Engineering with at least 3 years in real-world Azure cloud projects About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Job Description: • We are seeking a Big Data Lead with a strong background in Azure Data Engineering and Healthcare Payer domain expertise., • The ideal candidate will have deep hands-on experience with Azure ADF, Azure Databricks, PySpark, and Synapse Analytics, along with a proven track record in designing and implementing scalable, secure data pipelines in cloud environments. Must-Have Skills: • Azure Data Factory (ADF), Azure Databricks (ADB), Azure Data Lake Gen2, • PySpark, Python, Spark SQL, • Synapse Analytics, • TIDAL Scheduler, • Strong ETL and database design experience Domain Expertise: Healthcare Payer industry experience is mandatory Security & Compliance: Experience with PII/PHI data handling, encryption, IAM, and data governance Leadership: Proven experience leading cloud migration and mentoring teams Soft Skills: Strong communication, stakeholder collaboration, and problem-solving abilities. 📩 Apply today or share profiles at

Robinson Group has been retained to fill a newly created role in a newly created team- a Senior SAP Developer (ETL) - real REMOTE Technically strong team that is using innovative approaches, the latest technology, and strong collaboration. *This fully remote position will be part of a $17B organization but has the flexibility and mindset of a start up organization. *Growing, smart, and fully supported team that will have you leading the integration of SAP data primarily from SAP ECC and SAP S/4 HANA—into a unified, cloud-based Enterprise Data Platform (EDP). This role needs deep expertise in SAP data structures, combined with strong experience in enterprise ETL development using cloud-native technologies. As a Senior SAP Developer (ETL), you will play a key role in designing and implementing scalable data pipelines that extract, transform, and harmonize data from SAP systems into canonical models for analytics, reporting, and machine learning use cases. You will partner closely with data engineers, architects, and SAP subject matter experts to ensure accuracy, performance, and alignment with business requirements. This role will support a variety of high-impact projects focused on enabling cross-ERP visibility, operational efficiency, and data-driven decision-making across finance, manufacturing, and supply chain functions. Your contributions will help standardize critical datasets and accelerate the delivery of insights across the organization. Your skillset: • Strong experience in SAP ECC and SAP HANA, • SAP Datasphere (building ETL pipelines), • Architect and implement ETL pipelines to extract data from SAP ECC / HANA / Datasphere, • Design and build robust, scalable ETL/ELT pipelines to ingest data into Microsoft cloud using tools such as Azure Data Factory, or Alteryx., • Analyze/interpret SAP's internal data models while working also closely with bothSAP functional and technical teams, • Lead the end to end data integration process for SAP ECC, • Leverage knowledge of HANA DW to support reporting and semantic modeling, • Strong communication capabilities as it relates to interfacing with supply chain and finance business leaders, • Strong cloud knowledge (Azure is preferable, GCP, AWS, Fabric), • Ability to model data/ modeling skills, • Expose/experience with Python (building data transformations in SQL and Python) Your background: • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field., • 10 years of IT experience, with 8 years of SAP experience (SAP ECC and SAP S/4HANA)., • Hands-on experience with Azure cloud data services including Synapse Analytics, Data Lake Storage, SQL DB., • Experience building cloud-native applications, for example with Microsoft Azure, AWS or GCP

e&e is seeking a Lead Data QA for a hybrid contract opportunity in Philadelphia, PA! The Lead Data QA is responsible for defining and driving the overall Data Quality Assurance strategy for enterprise-scale data platforms. This role ensures that all data systems meet rigorous standards for accuracy, performance, integration, security, and compliance. The Lead Data QA will provide leadership and mentorship to a team of data QA analysts and testers, establish quality frameworks for ETL/ELT pipelines, and integrate automation within Azure Data Factory (ADF), Databricks, and Snowflake environments. The ideal candidate possesses a deep understanding of data engineering, automation frameworks, and regulatory data compliance (HIPAA, CMS) within modern cloud architectures. Responsibilities: Leadership & Strategy • Define and own the enterprise Data QA strategy encompassing functional, non-functional, integration, and performance testing., • Lead and mentor a distributed team of Data QA professionals across multiple programs and data initiatives., • Establish and maintain data quality SLAs, KPIs, and dashboards for critical datasets., • Collaborate with data governance, engineering, and architecture teams to embed QA best practices across the data lifecycle. Data Testing & Validation • Design and implement automated test plans, scripts, and frameworks for ELT/ETL pipelines., • Validate complex payer datasets including claims, membership, provider, and clinical data., • Conduct FHIR-based API testing for CMS interoperability and compliance standards., • Verify HEDIS measure calculations, healthcare quality metrics, and performance data accuracy., • Log and track defects using appropriate QA tools; provide detailed feedback to engineering and architecture teams. Automation Strategy & Framework • Develop and implement a data QA automation framework for Databricks (Delta Live Tables, Delta constraints) and ADF pipelines., • Utilize Great Expectations for reusable validation suites integrated into CI/CD workflows., • Embed automated schema validation, reconciliation logic, and drift detection into data pipeline operations. CI/CD Integration • Develop QA gates and automated quality checks within Azure DevOps pipelines for Databricks Jobs/DLT, SQL metadata, and ADF deployments., • Collaborate with DevOps and Engineering teams to embed QA automation into continuous integration and deployment processes. Technical Delivery • Partner with ADF, Databricks, and Snowflake teams to ensure end-to-end data quality., • Build and maintain automation frameworks leveraging Python, PySpark, and SQL., • Participate in code reviews, data model validation, and regression testing across environments., • Work with business and data governance teams to identify, investigate, and remediate data quality issues. Performance & Compliance • Design and execute automated load and stress tests for large-scale pipelines and dataflows., • Ensure all data QA processes align with HIPAA, CMS, and payer industry compliance standards., • Support audits through proper documentation of QA processes, test results, and lineage verification. Requirements: Education: • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Experience & Skills: • 10+ years of experience in Data QA/Testing, with at least 5 years in a leadership capacity., • Strong proficiency with Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog)., • Hands-on experience with Azure Data Factory pipelines, monitoring, and CI/CD deployment., • Advanced skills in Python, PySpark, and SQL for test automation., • Experience with Great Expectations, Azure DevOps, and data quality automation frameworks., • Familiarity with data governance, PII compliance, and enterprise data quality frameworks., • Proven success integrating QA practices into DevOps pipelines within cloud data environments., • Excellent communication, leadership, and cross-functional collaboration abilities., • Experience in Agile/Scrum environments is a plus. Preferred Qualifications: • Experience with HL7/FHIR data models beyond payer use cases., • Knowledge of Lakehouse and medallion architecture, • Familiarity with BI validation using Power BI or Tableau., • Understanding of data governance platforms (e.g., Collibra)., • Prior experience designing data QA automation frameworks for pipelines and regression testing., • Certifications such as Microsoft Certified: Azure Data Engineer Associate or Databricks Certified Data Engineer.

Are you considering a new role in Cyber Security and want to work in a company that is helping to change the world? Consider joining an organization serving the global scientific research community, supporting the brightest minds on the planet. Are you a collaborative Incident Response Engineer looking to work for a mission driven global organization? About the role, Elsevier is expanding its Global InfoSec Security Incident Response team. As a Security Incident Response Engineer, you will play a crucial role in our internal security support team, assisting with incident response investigations. This team is entrusted with analyzing, triaging, scoping, containing, and providing guidance for remediation, as well as determining the root cause of security incidents. This team also is empowered by collecting and analyzing security incident-related data to identify indicators of attack and compromise. Responsibilities: • Assisting in scoping security incidents and identifying indicators of attack and compromise., • Analyzing incident data from threat analytics tools., • Communicating recommendations and guidance based on security incident analysis., • Coordinating responses to security incidents with other security and consulting teams., • Developing, documenting, and implementing runbooks, capabilities, and techniques for Incident Response., • Performing security triage and analysis on endpoint, server, and network infrastructure., • Conducting activities necessary for immediate containment and short-term resolution of incidents., • Maintaining current knowledge of the threat landscape, emerging security threats, and vulnerabilities., • Investigating the root cause of complex security incidents., • Maintaining a high level of confidentiality. Requirements • Possess experience in cybersecurity incident response or related fields., • Proven ability to analyze, triage, scope, contain, and remediate security incidents., • Have current and extensive knowledge of security technologies, tools, and processes., • Experience with major cloud providers, including cloud security, networking, and multi-cloud or hybrid deployments., • Have current skills in automation using PowerShell, Python, Java, or similar languages., • Experience in Linux and/or Mac administration. Experience in Network Security Administration or Systems Administration., • Experience supporting large, complex, and geographically distributed enterprise environments. Preferred certifications: CISSP, CISM, SANS, GIAC, ethical hacking/penetration tester, or security risk assessment. Elsevier employs 10,000 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress.

Overview We’re looking for a DOCSIS Test Engineer to support validation efforts for DOCSIS 3.1 and 4.0 technologies. This role focuses on hands-on testing, analysis, and cross-team collaboration to ensure cable broadband platforms meet performance, reliability, and standards requirements. Key Responsibilities • Develop and execute comprehensive test plans for DOCSIS 3.1 and 4.0., • Perform functional, regression, performance, and interoperability testing., • Use tools such as Wireshark, Ixia, and Spirent for traffic analysis and simulation., • Work closely with software and hardware engineering teams to identify, troubleshoot, and resolve issues., • Automate test cases using Python or similar scripting languages., • Document test results, track defects, and provide actionable feedback. Required Qualifications • Bachelor’s degree in Electrical Engineering, Computer Science, or a related field., • 5+ years of DOCSIS testing or broadband network validation experience., • Strong knowledge of DOCSIS protocols, CMTS platforms, and cable modem technologies., • Experience with RF signal analysis, network diagnostics, and troubleshooting., • Familiarity with automation frameworks and scripting. Preferred Skills • Hands-on experience with DOCSIS 4.0 (FDX, ESD)., • Understanding of cloud-native environments and virtualization technologies., • Relevant certifications (SCTE, CableLabs, etc.).

Business Information Security officer (BISO) for TIO (Technology Infrastructure and Operations) We are not looking to hire a CISO as this BISO role will report to our CISO Requirements • Possess a strong proficiency with AWS services (EC2, S3, IAM, Lambda, CloudTrail, CloudWatch, KMS, GuardDuty, Security Hub, WAF, etc.)., • Have the ability to design secure, scalable cloud architectures with proper identity, access management, and network segmentation., • Experience with AWS Config, AWS Control Tower, or Terraform for compliance automation and infrastructure as code (IaC)., • Possess an understanding of Kubernetes (EKS), Docker, and container image scanning tools., • Hands-on experience integrating security controls into Jenkins, GitHub Actions, or GitLab CI pipelines., • Familiarity with code scanning tools (Snyk, SonarQube, Checkmarx, or Veracode) and dependency management., • Scripting proficiency (Python, Bash, or PowerShell) to automate security testing and compliance checks., • Experience implementing vault solutions (HashiCorp Vault, AWS Secrets Manager)., • Ability to translate technical risks into business terms for senior stakeholders and non-technical leaders., • Experience partnering with IT, Cloud, and Business Units to embed security in strategic initiatives., • Leading security programs, tracking KPIs/metrics, and ensuring timely delivery of remediation plans. Designing and delivering cybersecurity awareness programs tailored to business functions. Responsibilities • Driving information, cyber, and infrastructure security governance across all business and technology units, ensuring alignment with enterprise cybersecurity programs, objectives, and regulatory requirements., • Serving as the primary liaison between Business Units, Cloud Engineering, and the Cyber Security organization to embed security awareness and best practices into AWS cloud operations, CI/CD pipelines, and DevOps workflows., • Leading cloud security oversight for AWS environments, including configuration management, identity and access controls, encryption, and compliance with organizational policies and industry standards (ISO 27001, NIST, SOC 2)., • Managing and coordinating technical risk assessments — including vulnerability scanning, penetration testing, and application risk reviews — to ensure secure deployment across cloud and hybrid infrastructures., • Overseeing the security posture of CI/CD pipelines (Jenkins, GitHub Actions, or similar), integrating automated scanning tools and secure code validation into build and deployment processes., • Collaborating with DevOps and Infrastructure teams to define and implement secure-by-design practices for containerized workloads, Kubernetes clusters, and AWS-native services (EKS, EC2, S3, Lambda)., • Defining and executing a risk-based information and infrastructure security strategy, including setting measurable goals, developing security training programs, and creating roadmaps for improving DevSecOps maturity., • Developing and report cybersecurity metric scorecards to track compliance with enterprise standards, vulnerability remediation progress, and adoption of security controls across business and cloud environments., • Providing expert guidance on security architecture decisions, evaluating new tools and technologies for impact on cloud environments, automation frameworks, and enterprise security strategy., • Leading cross-functional security initiatives to ensure business innovation aligns with secure architecture principles, risk management standards, and ongoing governance frameworks.

Our client, a major clinical education platform, is actively looking for a Senior UX Researcher to join their team in Philadelphia! While this is a remote position, the preference is for candidates to be local to Philadelphia and able to come on-site occasionally. * This begins as a 6 month contract with an opportunity to extend or convert at any time* As a UX Researcher supporting our clinical decision-making tools, you’ll play a pivotal role in ensuring our products meet real-world user needs. You’ll conduct impactful research, analyze large datasets of unstructured written text, and collaborate closely with cross-functional teams. Your insights will guide the development of solutions that deliver trustworthy, relevant information within clinical workflows. We're seeking a skilled UX Researcher with the following capabilities: Problem-Solving & Strategy: • Collaborate with your squad to explore problems from multiple perspectives, especially those involving large-scale text data., • Align research solutions with product strategy to ensure our tools meet user and business needs., • Develop an evidence-based research strategy leveraging large datasets, in partnership with designers, PMs, engineers, and data scientists., • Model excellence in user-centered research processes, especially in the context of data-driven insights from text analysis., • Advocate for UX research best practices, particularly for research involving large-scale and unstructured text data., • Efficiently iterate research within two-week sprint cycles, sharing actionable findings with your team., • Acquire a thorough understanding of customer use cases and ensure their needs are addressed, using insights derived from large-scale text data., • Gain deeper knowledge of market segments and competitors, especially in the context of clinical decision support tools. Requirements: • Proven experience in UX research, including designing and executing studies involving large datasets of unstructured written text., • Strong skills in qualitative and quantitative research methods, including text analysis, coding, natural language processing, and synthesis., • Experience collaborating with cross-functional teams (designers, PMs, engineers, data scientists)., • Proficiency in at least one coding language commonly used for text data analysis (such as Python or R)., • Ability to communicate complex findings clearly and advocate for user-centered design., • Familiarity with healthcare is a plus.

Overview Joining Susquehanna’s Trading Operations team as a Business Analyst places you right in the heart of our business. Working directly with global teams across Trading, HR, Legal, Operations, and Technology, you’ll serve as the key bridge between stakeholders and our development teams—translating business requests into tools, systems, diagrams, and reports that directly impact how we operate. At Susquehanna, there’s no single way to improve processes. You’ll leverage your creativity, communication, and technical skills to assess and articulate business needs, design optimized workflows, and collaborate with technology to build solutions that make an impact. In this role you will: • Work across our Bala HQ, Dublin, and Sydney offices to support the development and implementation of universal calculation tools that are agnostic to location and securities type., • Support the build-out of an internal books and records system that integrates counter-party data from multiple trading systems and normalizes it for easier use., • Manage the development of reconciliation tools that streamline data comparison and trade reporting., • Design and document end-to-end business processes and workflows using tools such as Microsoft Visio, Lucidchart, or similar, to improve cross-functional understanding and solution development., • Partner with technical teams to transform workflow diagrams into functional system designs and implementations. What we're looking for • Bachelor’s degree required; specialization in finance or STEM discipline preferred., • Minimum of 5 years of experience in a Trading Operations, Business Analyst, or related role., • Demonstrated experience designing workflows and business processes using diagramming tools such as Microsoft Visio., • Strong analytical and problem-solving skills, with excellent time management and prioritization abilities., • Experience with Excel required; knowledge of VBA, SQL, and/or scripting (e.g., Python) is preferred., • Understanding of SDLC models is a plus., • Familiarity with relational database concepts preferred., • Visa sponsorship for work authorization is not available for this position now or in the future. About Susquehanna Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

Overview We’re looking for an experienced RDK-V Developer who knows their way around embedded Linux, STB/DTV systems, and low-level software development. You’ll be working hands-on with platforms built on RDK, contributing to device bring-up, feature development, and overall system stability. Key Responsibilities • Design, develop, and integrate software for RDK-V–based devices., • Work across embedded Linux, DTV, and set-top box platforms to build and optimize system components., • Contribute to middleware, drivers, and application layers using C, C++, and Java., • Develop features and debug issues across networking, system services, and video pipelines., • Build and maintain automation scripts using Python., • Work with Yocto, RDK components, and open-source stacks to customize builds., • Collaborate with cross-functional teams to diagnose and resolve platform issues., • Support CI workflows using tools such as Travis (Mac), AppWare (Windows), and similar. Required Skills & Experience • Bachelor’s degree in Computer Science, Electronics, or related field., • 6+ years of hands-on development experience with Linux and embedded devices., • Strong background in STB/DTV software development., • Proficient in C, C++, Java, and embedded Linux internals., • Solid experience with networking and open-source ecosystems., • Strong scripting skills in Python., • Familiarity with Yocto build systems and RDK-V architecture., • Experience working with CI tools (Travis, AppWare, etc.).

We are seeking a passionate and skilled Senior Data Engineer to join our dynamic team in Philadelphia, PA. In this role, you will lead the design and implementation of advanced data pipelines for Business Intelligence (BI) and reporting. Your expertise will transform complex data into actionable insights, driving significant business value for our clients. Key Responsibilities: • Design and implement scalable and efficient data pipelines for BI and reporting., • Define and manage key business metrics, build automated dashboards, and develop analytic self-service capabilities., • Write comprehensive technical documentation to outline data solutions and architectures., • Lead requirements gathering, solution design, and implementation for data projects., • Develop and maintain ETL frameworks for large real-world data (RWD) assets., • Mentor and guide technical teams, fostering a culture of innovation., • Stay updated with new technologies and solve complex data problems., • Facilitate the deployment and integration of AI models, ensuring data quality and compatibility with existing analytics infrastructure., • Collaborate with cross-functional stakeholders to understand data needs and deliver impactful analytics and reports. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field., • 4+ years of SQL experience., • Experience with data modeling, warehousing, and building ETL pipelines., • Proficiency in at least one modern scripting or programming language (e.g., Python, Java, Scala, NodeJS)., • Experience working directly with business stakeholders to align data solutions with business needs., • Working knowledge of Snowflake as a data warehousing solution., • Experience with workflow orchestration tools like Apache Airflow., • Knowledge of data transformation tools and frameworks such as dbt (Data Build Tool), PySpark, or Snowpark., • Experience with open-source table formats (e.g., Apache Iceberg, Delta, Hudi)., • Familiarity with container technologies like Docker and Kubernetes., • Experience with on-premises and cloud MDM deployments. Preferred Qualifications: • Proficiency with data visualization tools (e.g., Tableau, Power BI, Quicksight)., • Certifications in Snowflake or Azure Data Engineering, • Experience with Agile methodologies and project management tools (e.g., Jira)., • Experience deploying and managing data solutions within Azure AI, Azure ML, or similar environments., • Familiarity with DevOps practices, particularly CI/CD for data solutions., • Knowledge of emerging data architectures, including Data Mesh, Data Fabric, Multimodal Data Management, and AI/ML integration., • Familiarity with ETL tools like Informatica and Matillion., • Previous experience in professional services or consultancy environments., • Experience in technical pre-sales, solution demos, and proposal development.

Lead Software Engineer - Prominent Financial Services Firm Our client is a global financial services group which operates across more than 30 markets worldwide, providing a diverse range of banking, financial, advisory, and investment solutions to corporate, institutional, and retail clients. With a heritage spanning over five decades, the organization has built a reputation for specialist expertise in areas including asset management, commodities and global markets, corporate advisory, and infrastructure investment. The firm combines the capabilities of a major international financial institution with a focus on innovation and deep sector knowledge, serving clients across various industries while maintaining a strong commitment to sustainable and responsible business practices. This position combines direct technical contributions with leadership of your engineering team. You'll guide and develop a small group of engineers through consistent one-on-one meetings, continuous feedback, and personalized career development strategies. Your leadership will ensure successful delivery by orchestrating sprint planning, prioritizing team workloads, and clearing roadblocks that impede progress on quality software releases. Working in close partnership with Product Managers and Business Analysts, you'll establish rigorous standards for code excellence and operational stability while taking full accountability for your team's performance against demanding Service Level Objectives (SLOs) covering availability, performance, and security. Drawing on your technical background, you'll architect and design robust, scalable microservices and systems tailored to financial industry standards. Beyond planning, you'll write code directly—particularly for intricate and mission-critical features—and perform comprehensive code reviews to uphold quality benchmarks. Your responsibilities extend to defining the technical vision and roadmap, making strategic decisions about system architecture and technology selection, and acting as the senior technical resource who guides the team through complex production challenges and troubleshooting scenarios. Key Responsibilities / Requirements: • 7+ years experience as a full-stack developer with expertise in Python, • Frontend development experience using React and TypeScript (candidates with Angular or JavaScript backgrounds welcomed if willing to work on UI; AI-assisted development tools available), • Cloud infrastructure experience with AWS as the primary platform; familiarity with Google Cloud for data warehousing solutions (BigQuery), • Proficiency with Airflow for workflow orchestration and automation, • Advanced SQL and DBT competency required — data fluency is essential for all team members, • Effective at engaging directly with business stakeholders and collaborating with Business Analysts, • Background integrating third-party platforms including Aladdin (public markets), Sentry (private markets), and Titan, • Asset/liability modeling experience within reinsurance contexts is advantageous, • Financial services background preferred, particularly with capital markets systems or portfolio management tools, • Knowledge across various asset classes is desirable though not mandatory Qualifications: • Technical contributor who can simultaneously manage small engineering teams while establishing design standards, architectural patterns, and security protocols, • Bachelor's degree, • Exceptional communication and negotiation skills, • Ability to work in a fast-paced, high-pressure environment About SEQ Technology: SEQ is a leading provider of IT Solutions, contract staffing, and permanent employment services. Our firm excels in networking with hard-to-reach candidates for positions ranging from entry-level to Subject Matter Experts and C-level executives. With our extensive expertise in serving buy side financial firms, hedge funds, large sell side financial institutions, and private equity, we are seeking an entry level IT Recruiter to join our team. SEQ Technology is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace that values and respects individuals from all backgrounds. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We actively encourage applications from members of underrepresented groups and are dedicated to building a team that reflects the diversity of the communities we serve.

Job Title: Data Engineer Location: Philadelphia, PA (Hybrid) Experience: 5+ years Role Summary: We are seeking an experienced Data Engineer with strong expertise in PySpark and data pipeline operations. This role focuses heavily on performance tuning Spark applications, managing large-scale data pipelines, and ensuring high operational stability. The ideal candidate is a strong technical problem-solver, highly collaborative, and proactive in automation and process improvements. Key Responsibilities: Data Pipeline Management & Support • Operate and support Business-as-Usual (BAU) data pipelines, ensuring stability, SLA adherence, and timely incident resolution., • Design, develop, and optimize PySpark jobs for efficient large-scale data processing., • Use Databricks for Spark job orchestration, workflow automation, and cluster configuration., • Debug and manage Spark on Kubernetes, addressing pod crashes, OOM kills, resource tuning, and scheduling problems., • Partner with onshore business stakeholders to clarify requirements and convert them into well-defined technical tasks., • Provide daily coordination and technical oversight to offshore engineering teams., • Maintain accurate and detailed documentation, runbooks, and troubleshooting guides., • Contribute to process improvements that enhance operational stability and engineering efficiency. Required Skills & Qualifications: Primary Skills (Must-Have) • PySpark: Advanced proficiency in transformations, performance tuning, and Spark internals., • SQL: Strong analytical query design, performance tuning, and foundational data modeling (relational & dimensional)., • Python: Ability to write maintainable, production-grade code with a focus on modularity, automation, and reusability. Secondary Skills (Highly Desirable) • Kubernetes: Experience with Spark-on-K8s, including pod diagnostics, resource configuration, and log/monitoring tools., • Databricks: Hands-on experience with cluster management, workflow creation, Delta Lake optimization, and job monitoring., • MinIO / S3: Familiarity with bucket configuration, policies, and efficient ingestion patterns., • DevOps: Experience with Git, CI/CD, and cloud environments (Azure preferred).

Are you an experienced Data Migration Engineer with an expertise in Snowflake and dbt (Data Build Tool) About the role, we are seeking a Data Migration Specialist with extensive experience in dbt (Data Build Tool) and Snowflake, and solid proficiency in Python within the AWS ecosystem. The role involves developing, maintaining, and optimizing scalable data pipelines and integrations that enable data-driven decision-making across platforms. Please do not apply without current and extensive dbt and snowflake. About the team, this diverse team provides post-sale technical support services to our University customers, including installation, troubleshooting, problem resolution and maintenance of products and services. Key Responsibilities • Designing, implementing, and maintaining data pipelines using dbt and Snowflake, • Developing and automating Python scripts for data transformation, validation, and delivery, • Managing data workflows and deployments across the AWS ecosystem (S3, Lambda, ECS, IAM, etc.), • Collaborating with internal and external teams to deliver efficient, secure data integrations, • Troubleshooting and resolving data pipeline or performance issues, • Applying best practices for CI/CD, testing, and version control in data workflows, • Contributing to ETL orchestration and scheduling using Matillion Required Skills & Experience • Possess current experience with dbt and Snowflake (required). Please do not apply with this experience., • Experience with Matillion ETL or similar data orchestration tools, • Familiarity with Airflow, Dagster, or other workflow orchestration frameworks, • Have current and extensive Python development skills for automation and data processing, • Possess a solid understanding of AWS services related to data engineering, • Experience with SQL, schema design, and performance optimization, • Possess familiarity with Git and collaborative development practices

e&e is seeking a Data Engineer for an onsite contract opportunity in Philadelphia, PA! The Data Engineer is responsible for designing, developing, and optimizing scalable data pipelines and modern data infrastructure to support operational, analytical, and AI/ML initiatives. This role partners closely with data leadership, analytics engineering, business users, product teams, and data modelers to gather requirements, improve data quality, and ensure data is delivered in a reliable, secure, and timely manner. The ideal candidate brings strong experience across ETL/ELT development, data modeling, cloud-based data platforms, and modern data engineering tools, while maintaining compliance with data governance and security standards. Responsibilities: • Design and develop scalable, modern data infrastructure to support enterprise-wide data and analytics initiatives., • Build and maintain high-performance ETL/ELT pipelines and big-data processing solutions to reliably deliver curated data assets., • Optimize data pipeline performance and automate processes to enhance speed, reliability, and cost efficiency., • Collaborate with analytics engineering teams to capture and standardize key business metrics and KPIs., • Develop and maintain documentation including process flows, source-to-target mappings, error handling, and pipeline recovery procedures., • Ensure compliance with data governance policies, security standards, and industry regulatory requirements., • Drive continuous improvements to enhance automation, scalability, and overall data engineering best practices., • Partner with Operations teams to implement control objectives, manage data movement, and support incident management processes., • Perform additional data engineering duties as assigned. Requirements • Deep understanding of relational, dimensional, and non-relational data modeling techniques., • Extensive experience acquiring data through Change Data Capture (CDC), pub/sub patterns, real-time streaming (Kafka, Kinesis), APIs, and similar methods., • Hands-on experience building data pipelines using ETL/ELT tools (Talend, Informatica, Fivetran, Matillion, dbt), Python, Spark, SQL, etc., and delivering curated data in data lakes, enterprise data warehouses, and data marts., • Ability to analyze and interpret various data formats including XML, JSON, AVRO, and CSV., • Experience developing Data-as-a-Service (DaaS) APIs to deliver data products to internal or external consumers., • Strong SQL proficiency, including writing complex queries for data analysis, profiling, validation, and reconciliation., • Familiarity with data privacy and compliance regulations such as GDPR, CCPA, and HIPAA., • Experience working within Agile/Scrum teams., • Excellent analytical and problem-solving skills with a proactive approach to identifying and resolving issues., • Commitment to staying current with emerging data engineering technologies, cloud platforms, and best practices.

Python object oriented professional software development experience in an Agile environment using Git. Linux operating system software development and troubleshooting. Bachelor degree with 8+ years of Python and Linux operating system experience AND 5+ years developing software that runs on containe

Knowledge of Core Java , javascript , C++ or software programming. Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting

We are looking for a Software Engineer type of resource that has experience and expertise working with SQL Server and can help to both improve our existing Data warehouse integration. Software Engineer II (SQL Server,.

About the Role:\n\nWe’re building a large-scale synthetic data generation engine to produce realistic observability datasets — metrics, logs, and traces — to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data.\n\n🧠 What You’ll Do\n\t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured).\n\t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection.\n\t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries).\n\t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch.\n\t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets.\n\t•\tOptimize for scale and reproducibility using Docker containers.\n\n✅ Who You Are\n\t•\tStrong programming skills in Python.\n\t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry).\n\t•\tSolid understanding of distributed systems metrics and log structures.\n\t•\tExperience building data pipelines or synthetic data generators.\n\t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models.\n\n💸 Pay\n $50 - 75/hr depending on experience\n Remote, flexible hours\n Project timeline: 5-6 weeks

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis. Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data visualization tools.

C++, Go, C, Python, Ansible, and Bash.Well versed in data structures and Algorithms.Linux software development experience.Background in Cable/ telecommunications industry.Harmonic cOS platform experience.Experience as a Software lead - Coding/Monitoring/Managing.Kubernetes, Docker, AWS, DevOps exper

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment. The Junior Catastrophe Modeling Analyst will be responsible for analyzing and quantifying Chubb’s North America Commercial Insurance exposure to natural catastrophe perils such as Hurricane, Earthquake, Severe Convective Storm, Flood and Wildfires. Such analyses require creating datasets from various data sources, performing analyses using multiple models and aggregation tools and communicating results to senior management. A successful candidate will have the ability to work in a time bound and multiple stakeholder environment. Prioritization of multiple projects concurrently and ability to work both independently as needed while also working as a part of a team in cross-functional projects. The role brings an exciting opportunity to work with other members of the Corporate Catastrophe Solutions team within ERM, as well as senior stakeholders from the business including Underwriting, Actuarial, and Ceded Re. Major Duties and Responsibilities: • Assist with quarterly/monthly roll-up of North American Commercial Insurance exposure, analyzing and monitoring catastrophe risk via third part catastrophe models, internal tools and software., • Adhere to corporate data quality standards while working with business units to ensure the highest degree of accuracy in the Cat perils modeled results., • Provide insight back to key business stakeholders monitoring aggregation and PML movement over time and provide both detailed, highly quantitative reporting as well as high level summaries to the executive level., • Coordinate with account modeling team located in Hyderabad with a focus on key initiatives to improve modeling efficiency and review high-impact account modeling results., • Provide data, modeling results, and complete ad-hoc projects as needed from the Ceded Re, Actuarial, and Finance teams., • Monitor and respond to catastrophic events in real-time, quantify potential impacts to in-force exposure and communicate to senior management., • Respond to ad-hoc requests from the business., • 0-2 years of relevant work experience in Catastrophe Modeling, preferably in Commercial Lines with a focus on portfolio modeling., • Experience with Commercial Property Insurance and understanding of complex terms and conditions, and the ability to code and model these structures accurately., • CAT model operating skills using third part catastrophe modeling software, RiskLink experience preferred., • Geospatial software experience, such as ArcGIS and/or QGIS, • Ability to manipulate large data sets with strong Excel and SQL skills. Other programming languages such as Python, VBA, or R would be beneficial., • Highly numerate and logical – strong mathematical / statistical knowledge is key., • Strong communication skills – must have the ability to summarize and present highly complex and quantitative analyses and concepts to business stakeholders., • Organized with attention to detail. Must be able to manage multiple timelines and deliverables while ensuring the highest quality of work to meet deadlines. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job DescriptionPosition: Embedded Dev Engineer - RDK-B Location: Philadelphia, PA(Onsite) Job Type: Contract Job Description: • Bachelor’s degree in computer science/electronics or related field 5+ year Development experience with Linux and embedded devices, Experience on Wi-Fi development and debugging for L1/L2 RDK Experience must Telecom/Media domain experience must. . Experience and knowledge on IEEE802.11/Wi-Fi protocols such as WPA, RADIUS, WPS, 802.11n/ac, and etc. . Strong knowledge of TCP/IP internals and common network protocols such as DHCP, DNS, HTTP, and etc. . Expert on common networking protocols, and has hands-on experience on VPN . Expert on C and embedded Linux nLAjLqjRg9

Job DescriptionCompany Description Customized Energy Solutions (CES) is a privately held company and a nationally recognized leader in energy market consulting and technology. Our Congestion Management Services team specializes in helping clients navigate the complexities of wholesale electricity markets, with a focus on transmission congestion, risk mitigation, and FTR/ARR portfolio optimization in markets such as SPP, MISO, PJM, and others. By combining deep market expertise with advanced data analytics, CES delivers high-impact solutions that support trading, operational planning, and regulatory strategy. Our clients include generation owners, load-serving entities, traders, and financial institutions, and our work spans both renewable and conventional assets. As part of our Congestion Management Services team, you'll work at the forefront of transmission and congestion-related challenges—supporting strategic decision-making and helping clients respond to changing market dynamics and regulatory developments. CES has been nationally and regionally recognized for sustained growth and innovation, including listings on the Inc. 500|5000 and Philadelphia Business Journal’s Top 100 Companies, with a “Best Places to Work” designation and Hall of Fame status for five or more consecutive years. Our team is composed of highly motivated, collaborative, and mission-driven professionals. With headquarters in Philadelphia and offices across the U.S., Canada, Japan, India, and Vietnam, CES offers a flexible, collegial, and globally connected work culture for those passionate about the future of energy. Job Description Customized Energy Solutions is seeking a strategic, technically fluent analytics leader to shape and scale the AI/ML optimization capabilities of our GridBOOST platform — CES’s advanced energy storage and market optimization engine. This role bridges technical innovation and business impact, leading a cross-functional team of data scientists and engineers to enhance bidding, forecasting, and optimization capabilities across multiple energy markets. This role focuses on technical methodology and innovation with direct involvement with the operations and client facing team members, as well as occasional direct interaction with clients. Ideal candidates for this position will be able to work both independently and collaboratively and will possess strong communication skills and exceptional analytical skills. • Define the technical roadmap for optimization and forecasting within the GridBOOST platform., • Lead a team of data scientists and analysts in developing and deploying scalable AI/ML models., • Collaborate with product, market operations, and client teams to translate analytical insights into optimization features., • Oversee the design and maintenance of analytical pipelines in a modern cloud environments., • Balance short-term performance goals with long-term product innovation and market expansion., • Represent CES’s analytical capabilities in client discussions, industry forums, and cross-team strategy meetings.Qualifications, • 8–10 years of experience leading analytical teams in energy, trading, or industrial optimization environments., • Strong foundation in forecasting, optimization, and machine learning, with demonstrated success applying these to real-world energy or operational systems., • Familiarity with U.S. wholesale or distributed energy markets (e.g., ISO/RTO) and energy asset optimization., • Experience building and scaling AI/ML workflows (Python, AWS, or equivalent)., • Proven leadership in managing technical teams and translating complex analytics into business value., • Advanced degree (Master’s or PhD) in engineering, data science, applied math, or a related field preferred. Additional Information At Customized Energy Solutions, we offer a competitive salary based on experience, along with performance-based bonuses, health coverage, and tuition reimbursement to support your growth. We look for colleagues who can work independently, collaborate effectively, and embrace continuous learning and knowledge-sharing. Together, we foster a supportive environment where teams grow, innovate, and build sustainable solutions for the future. Customized Energy Solutions provides equal employment opportunities to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Position Summary: The Data Application Specialist works as a member of the HealthIT team under the Sr. Data Engineer to support the DPH goals of enhancing department research and public services and facilitating the establishment and maintenance of department-wide data governance. This position is responsible for executing on project plans, and maintaining existing data-related solutions for department and divisional needs and services. This is multi-faceted position with responsibility within multiple database types, data integration, ETL, and application knowledge. Duties and Responsibilities: • Participation in development and maintenance of departmental and divisional data and governance programs., • Database maintenance, optimization, and administration, as needed, to support DPH initiatives., • Working closely with DPH, HealthIT, and OIT colleagues to choose and create appropriate solutions, using existing City and department resources whenever possible., • Creation of scripts, queries, stored procedures, and use of data APIs and Web services to integrate disparate data sources, create reports, and ensure data integrity., • Suggest tools for use within DPH for working with, reporting on, visualizing, and managing data., • Creation and maintenance of data visualizations, as directed., • Application administration of and high-level support for DPH data management and visualization tools., • Maintaining awareness of emerging technologies in related areas including awareness of visualization tools, new databases and data formats, integration techniques, and common scripting languages., • Observing DPH needs and proactively recommending to Sr. Data Engineer or IT Director, demonstrating, and implementing techniques, tools, and solutions., • Ensuring data security as per the appropriate standard, including HIPAA/HITECH, PA Act 59, industry standards, and the ethical standards of both IT and Public Health professions., • Working with vendors and contractors to ensure DPH receives appropriately built, maintainable, integration-friendly solutions., • Operate as a member of the HealthIT team, including participation in team meetings, projects, and initiatives, and regularly use team communication tools., • Demonstrated ability to learn and apply new languages, tools, techniques and technologies., • Fundamental understanding of databases, data structures,, • Familiarity with SQL and SQL variations, • Ability to script fluently in at least one common scripting language such as Python, Perl, or Ruby, • Familiarity with data and database security; general knowledge of application controls and security, • One or more of the following (more a plus):, • Knowledge of data visualization tools such as GIS (ArcGIS, QGIS, etc.), BI and dashboarding (Tableau), and emerging/open source tools., • Knowledge of data analysis tools such as R, SAS, etc., • Knowledge of HL-7, • Understanding of data APIs and Web services, • Demonstrated ability to integrate data and/or automate extract-transform-load (ETL) procedures, • Demonstrated ability to produce human-readable data reports, • Ability to learn quickly and become comfortable with unfamiliar software and hardware environments, • Ability to work, learn and research independently, • Ability to work as a team member, and to proactively help to improve the skills of team members through knowledge sharing and demonstration, • Work within established policies and procedures, and also exhibit good judgement, • Ability to translate between the technical and the non-technical, including explaining technical issues to less technical personnel, and framing technical solutions in a business context, • Ability to respectfully work through challenging situations with clients and colleagues, • Dedication to respecting others and treating others equally regardless of differences of any kind, • Basic customer service skills., • Ability to manage time and tasks in a complex environment with multiple priorities, • Effective oral and written communication skills, • Organizational and operational adaptability, • Minimum of 3-5 years in data management, engineering, integration and/or visualization, • Certification or coursework in relevant technologies or topics a plus, • Bachelor’s degree from an accredited college or university or equivalent work experience in a relevant position, • Significant course work in Computer Science, information science, MIS, data analysis, software engineering, or a related field a plus, • A masters’ degree or advanced coursework in a related field a plus, • Demonstrated experience in data management, integration, reporting, and visualization, preferably in a healthcare or public health environment; government experience a plus PMHCC, Inc. is committed to equal opportunity. It is our policy to support equal employment for all employees and applicants without regard to race, religion, color, sex, sexual preferences, age, national origin, disability, behavioral health status, military status or any other characteristic protected by law. Americans with Disabilities Act: Employees as well as applicants who are currently, or become disabled, must be able to perform the functions of the job with either reasonable accommodation or unaided. PMHCC, Inc. will examine reasonable accommodations on a case by case basis in accordance with the law.