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Research Engineer, Frontier Red Team (Rsp Evaluations).San Francisco, CA | Seattle, WA.Research Scientist, Frontier Red Team (Autonomy).Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY.Research Scientist, Frontier Red Team (Cbrn, Biosecurity).

This range is provided by Walmart Connect.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Walmart Connect is key to Walmart’s growth strategy.Walmart has built a multibillion-dollar in-house advertising business that is a robust, true omnichan

Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field.

CRA’s Forensic Services practice supports companies involved in litigation concerning computer technology by assisting them and their counsel in analyzing source code, software, and hardware to better understand the relevant technical issues and help resolve the dispute. Consulting Associate/Compu

Self-motivated individuals with PhD in life sciences or equivalent and a strong background in one or more areas of microbiology, cell and molecular biology, and biochemistry are encouraged to apply.

The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. The Zeltser lab is looking for a motivated scientist to join their team as an Assistant Professor of Medical Sciences in Medicine at the Columbia Univer

As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. Exp

Postdoctoral Research Scientist position available immediately in a leading laboratory investigating host-pathogen interactions in neuro disorders and/or GI cancers.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole.Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build ben

Research Engineer, Frontier Red Team (Rsp Evaluations).San Francisco, CA | Seattle, WA.Research Scientist, Frontier Red Team (Autonomy).Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY.Research Scientist, Frontier Red Team (Cbrn, Biosecurity).Anthropic Ai Safet

EvolutionaryScale's mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community.Over the next ten years AI will transform biological design, making mole

Job Description Job Title: Senior Data Scientist, Agentic AI Location: New York, NY office (hybrid - 3 days a week onsite) Main Skills: Data Scientist Agentic AI, Modeling, Statistics, Python, insurance data, (records, claims) This is a potential contract to hire role. Client is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Client does business. Client’s Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Client created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Client’s transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Senior Data Scientist, Agentic AI—an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Client operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Client’s products and services. You will: Key Responsibilities • Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences., • Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions., • Build autonomous agents and multi-step reasoning systems that integrate with Client’s core platforms to deliver measurable business impact., • Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment., • Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment., • Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI., • Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions., • Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Client. You are: • Passionate about pushing the frontier of AI while applying it to solve real-world business problems., • Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries., • A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment., • Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You have: • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field, • 3+ years of hands-on AI modeling/development experience, • Strong theoretical foundations in probability & statistics, • Strong programming skills in Python including PyTorch, Tensorflow, LangGraph, • Solid background in machine learning algorithms, optimization, and statistical modeling, • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level, • Excellent analytical and problem-solving abilities with superb attention to detail, • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Company DescriptionData Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.Data Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.

Job Description Columbia University’s Department of Medicine invites applications for a research position in the rank of Associate Research Scientist at The Columbia University Irving Medical Center in the Division of Molecular Medicine in the Laboratory of Dr. Ira Tabas. The position includes both laboratory and translational research. Summary Description: Our laboratory studies the cellular biology of cardiometabolic disease, with an emphasis on the molecular-cellular mechanisms of metabolic-dysfunction-associated steatohepatitis (MASH) and advanced atherosclerosis and the links between these processes. We are seeking a talented Associate Research Scientist with interest and expertise in molecular-cellular mechanisms related to MASH and cardiometabolic disease, with a focus of advanced atherosclerotic lesion development. Priority will be given to candidates who have experience in these areas. The selected candidate will conduct research on the following projects: • MASH: We study the roles of different liver cell types in MASH development and progression, with current investigations focused on (a) links between MASH liver fibrosis and atherosclerosis; (b) new mechanistic insight into human genetic risk factors for MASH fibrosis, with current focus on MBOAT7 and CASP8; (c) mechanisms of efferocytosis in MASH; and (d) new therapeutic strategies to prevent steatosis-to-MASH progression based on our findings., • Advanced atherosclerosis: We have focused on integrated processes that promote advanced plaque progression, with the current focus on defective clearance of the apoptotic cells (efferocytosis) and impaired inflammation resolution. In the efferocytosis field, we study a process called continual efferocytosis, whereby a macrophage ingests and degrades multiple apoptotic cells over a short time period, requiring reprogramming of vesicular trafficking pathways and metabolism of molecules from degraded apoptotic cells. The inflammation resolution project investigates cellular mechanisms of the resolution process and its therapeutic potential, e.g., through the use of atherosclerosis-targeted nanoparticles packaged with resolution mediators. An exciting new area in the lab involves identifying specific mechanistic links between impaired resolution pathways and clonal hematopoiesis of indeterminate potential (CHIP), which is a major risk factor for atherosclerosis and coronary artery disease in humans over the age of 60 Qualifications Minimum Degree Required: Ph.D., MD or both Minimum Qualifications: 2.5 years post-graduation for PhD graduates, first author high-quality publications published in first-rate journals and experience in the research areas outlined above. Salary Range $79,327 – $100,000 Link to apply- apply.interfolio.com/172456 Application Instructions Special Instructions to the Applicant: To apply, please submit a CV and three references. Optional Documents: • Cover Letter, • Dissertation Abstract, • List of References, • Writing Sample/Publication 1 Writing Sample/Publication 2, • Research Abstract Equal Employment Opportunity Statement Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Job DescriptionAbout the Client Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next-generation platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety. About the Role The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams. Responsibilities * Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency. * Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model. * Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources. * Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources. * Apply CI/CD and version control best practices within analytics codebases. * Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners. Requirements Required: * At least 3 years of experience in analytics or data engineering. * Strong proficiency with SQL and dbt. * Bachelor's degree in a technical or quantitative field. * Hands-on experience with cloud platforms (especially Snowflake and/or AWS). * Competency in Python for data wrangling and feature generation. * Familiarity with AI/ML workflows and deployment pipelines. * Commitment to clean, modular, and well-documented code using software engineering best practices. * Comfort working in a dynamic, fast-paced startup setting. * Clear communication skills and the ability to advocate for robust data practices. * Passion for advancing healthcare through trustworthy and scalable data infrastructure. Preferred: * Experience with healthcare data standards such as HL7, FHIR, or DICOM. * Background in academic medical research. * Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries. * Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines. Benefits & Why Join * Competitive compensation package: base salary in the $145K–$160K range plus equity. * Opportunity to work at the forefront of AI and healthcare innovation. * Collaborative and mission-driven team environment. * Flexibility to work remotely or from the company’s office in New York. * A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.

Job DescriptionThe Role We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders. Primary Responsibilities • Develop, refine, and validate climate and wildfire models to support underwriting and risk management., • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences., • Collaborate closely with cross-functional teams, including engineering and underwriting., • Stay up-to-date with the latest climate science research, methodologies, and industry trends., • Design and implement Python-based analytical tools and models., • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness. Essential Experience of a Successful Candidate • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field., • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains., • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools., • Hands-on experience with climate and wildfire modeling techniques and tools., • Excellent communication skills, capable of simplifying complex models for diverse audiences., • Experience presenting at conferences or pitching scientific models to industry stakeholders., • Familiarity with machine learning techniques for climate data analysis., • Knowledge of geospatial data analysis and visualization frameworks., • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications., • Benefits package includes remote work flexibility, with tools to support productive work from home.

Job Description Hi, we're Oscar. We're hiring a Staff Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As a Staff Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Director, AI. Work Location: This is a hybrid role in our New York office (in Hudson Square). You will work part of the time in the office and part of the time remote / work-from-home. #LI-Hybrid Pay Transparency: The base pay for this role is: $192,000 - $252,000 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang). At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

Job DescriptionCompany Description About A Place for Mom: A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion. Our employees live the company values every day: • Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy., • Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow., • Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team., • Win The Right Way: We see organizational integrity as the foundation for how we operate., • Embrace Change: We innovate and constantly evolve.Job Description The Position: A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of our senior care data ecosystem. As a member of our growing Data Product team, this role will define and drive how we systematically collect, organize, and package our internal proprietary data to maximize value for the families we serve and our partners within the senior care space. What you will do: In this role, you will oversee the next evolution of A Place for Mom’s data capabilities, developing the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases. You will partner closely with a wide range of key stakeholders - from senior leadership, to marketing and sales domain owners, to product and technical vertical owners - to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value for our clients and customers. Specific responsibilities include: • Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics, • Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.), • Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality, • Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight, • Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders, • Proactive communication to senior leadership of progress and identified value-add of data investments, • Work with business unit teams to identify, evaluate, and productize data monetization opportunitiesQualifications, • Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science, • 5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer, • Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions), • Expertise with SQL and data modeling strongly preferred, • Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products, • Excellence in communicating technical information and quantitative insights to leadership audiences, • Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels Additional Information Compensation • Base Salary: $150,000 to $175,000 + 10% Bonus, • Benefits:, • 401(k) plus match, • Dental insurance, • Health insurance, • Vision Insurance #LI-KT1 #LI-REMOTE

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking

Job DescriptionDescription: About Guideline.ai At Guideline.ai, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Data Scientist, Capital Markets The Capital Markets team within Guideline is focused on developing and delivering high value data products and insights that drive client engagement and revenue within the Capital Markets vertical. We are looking for a candidate with a strong command of data analytics and machine learning within the financial vertical and work collaboratively to build products that drive revenue growth. This is a hybrid role, working a few days a week from our office in the Toronto area. Key Responsibilities • Analyze structured and unstructured financial data to generate actionable insights for capital market clients., • Build and maintain predictive models and machine learning algorithms for market trends and KPI forecasts., • Create dashboards and visualizations to communicate insights clearly to both technical and non-technical stakeholders., • Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market., • Partner with product and customer teams to embed insights into solutions that align with customer objectives., • Ensure data integrity, quality, and governance in all analytical work. We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: • Degree in computer science, data analytics or direct experience required, • 3-5 years of experience with building data insight products that are derivatives of data assets, • Proficient in Python coding, data analytics and machine learning, • Forecast modeling capability, • Strong written and oral communication, • Understanding of the financial markets and direct experience a plus, • Knowledge of the Ad/Media buying industry will be an asset

Job DescriptionDescription: Data Analyst Full-Time Hybrid, New York City Who We Are: We believe in small businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer support to provide business owners with accelerated access to right-sized capital solutions. From working capital loans and merchant cash advances to lines of credit and business expansion loans, we offer a suite of financing products that can accommodate nearly any stage of business development or credit profile. Founded in 2010 with offices in Michigan, New York, and Arizona, we have provided access to over $1 billion to more than 20,000 small businesses nationwide. On top of being nominated as one of Crain’s 50 fastest growing companies in New York and making several appearances on the Inc. 500 list, Credibly is annually recognized for having one of the "Best Blogs For Small Businesses" by several media outlets. The Opportunity: The Data Analyst will join the Risk Analytics and Data Science organization, and will be responsible for delivering trusted analytics to drive the business forward. The successful candidate will be a business-oriented, collaborative, high-energy data analyst who is passionate about working with business partners and bringing transparency into the data across the organization. What You Will Do: • Collaborate with the business to execute on identified opportunities by performing exploratory data analyses (EDAs), generating, and testing working hypotheses, preparing, and analyzing historical data and identifying patterns to drive revenue and cost savings., • Employ historical data/insights to make informed estimates in helping determine the direction of future trends for the business., • Effectively manage multiple assignments with challenging timelines within a collaborative environment., • Develop and maintain reports that provide insights across the business., • Support the efforts of leadership to ensure our data and analyses are trusted by helping to champion high standards, transparency, and regular communication with the business., • Keep up with the latest trends in advanced analytics., • Explore and test additional/new data sources that may add value. Who You Are: • At least a Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or physics., • 1+ years of experience as a data analyst/data scientist in industry., • Working knowledge of Python, SQL and Microsoft Office tools., • Strong analytical, critical thinking, and creative problem-solving skills., • Excellent written and verbal communication skills, and proven presentation skills. Ability to relay information to senior management in a succinct, insightful way., • Flexible and productive in a hybrid working arrangement. What Makes You Special: • At least a Masters Degree in a quantitative field., • Experience in Banking or risk management., • Working knowledge of Statistical methodologies., • Experience in data engineering., • Experience in developing Machine Learning and AI solutions. How You Will Benefit: • Flexible working conditions, via hybrid remote/in-office work, • Generous PTO package, • 8 Paid Company Holidays, • Paid Parental Leave, Bereavement, and Jury Duty, • 401k with company match (and 100% vesting after 2 years), • Medical insurance through BCBSM or BCN, • Dental and Vision provided by BCBS, • HSA and FSA available, including LPFSA and Dependent Care, • Company paid life insurance and short-term disability, • Additional optional insurancesRequirements:

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai. From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation. Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge. Why is Boosted.ai the best place to work? • Customers love the product (adopted by many of the biggest financial institutions and rapidly expanding to more firms), • We're growing a lot (5x in the last year), • Incredible culture (our customers keep applying to work here) We're looking for a data science "Olympian" to own full-funnel insights, from shaping our best-in-class data stack and infrastructure, to asking the right questions, to running experiments, and to delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. What You'll Do • Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product, • Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders, • Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery, • Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively, • Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively, • 4+ year experience, • Expert in SQL and Python or R, • Robust understanding of statistical and machine learning methods, • Storytelling through data, • Experience with data transformation tools and data orchestration tools Compensation At Boosted.ai, we believe in fair and transparent compensation practices. The base salary range for this full-time position is $155,000-$210,000, which may vary depending on experience, skills, and location. This range reflects the minimum and maximum target base salary for new hires. In addition to base salary, employees are eligible for our discretionary bonus program that takes into account both individual and company performance, and participation in our equity program. During the hiring process, we can provide more specific salary information for your location. Our Values We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do. • Collaborative – We value our team and know that success can only come from working together, • Client Centric – Our focus is always on our clients and consistently delivering them value, • Action Oriented – We remove barriers and we seek to improve in measurable ways, • Accountable – We are accountable for ourselves, and we hold each other accountable We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (Unlimited) Paid Time Off, • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Access to a 401(k) retirement savings plan (for U.S. employees), • Paid Parental Leave, • Free access to use Boosted.ai Alfa™ to make money Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Job Description A global financial services company is seeking an on a Temporary-to-Hire basis for their office in Manhattan. Location: New York, NY Duration: Temporary-to-Hire Responsibilities • Manage all aspects of the planning process, including but not limited to vendor negotiation, contract administration (including controlling risks associated with attrition and cancellation), hotel management, air and ground travel, total logistics coordination (menus, setup, decor, audio visual) entertainment, activities, team building, temporary staff, input on registration website development, printing, registration management, communications, invoice processing and budget management, • Lead cross functional project teams to execute programming, including complex in-person and virtual/hybrid events that range from 10 to 2,000 attendees, • Demonstrated supportive leadership style, including experience with cross-functional, global, and multicultural teams, • Demonstrate ability to work in a fast-paced and flexible work environment, such as changing planning activities and/or multitasking often to meet fluctuating client priorities, • Deliver company event standards at every level, • Manage decisions that maintain integrity around firm procedures, compliance and controls, risk management and independence in vendor relationships while using firm-supported tools, • Completes, maintains, and updates project timelines, establishes a workflow schedule with client and suppliers to facilitate prompt and accurate handling of all program details, • Drive collaboration with Events & Meetings colleagues to share industry updates, promote best practices, focus on synergies, consistency and foster a culture of innovation, • Operates with a “no surprises” commitment to business partners and stakeholders and is a role model for communication and collaboration, • Provide strategic input and recommendations to business group on event development, • Identify, build, and maintain strong relationships with multiple stakeholders of aligned business groups, understanding their practice or industry objectives and help to ensure that service delivery is aligned and fully supports the event goals and firm priorities to ensure successful outcomes, • Support the vendor RFP process, contract negotiations, and participate in site inspections Qualifications • 8 -10 years’ experience in a full-time position as a professional meeting planner or closely related position, • Excellent oral and written communication skills; ability to deliver messages clearly and succinctly, • Ability to manage projects across businesses, functions, and geographies and to build strong relationships with diverse audiences, • Exceptional client focus and service ethic, • Highly organized, detail oriented, forward-thinking, proactive, • Strong analytical and problem-solving skills, • Ability to multi-task in a fast-paced environment, • High degree of professionalism, flexibility, good judgement, and discretion, • Strong sense of ownership and accountability, • Ability to work extended hours, which may include evening and/or weekend event support, • Proficient in Microsoft Office suite including Excel, Word, PowerPoint, and Outlook

Job Description Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. Responsibilities: • Processes a wide variety of tissue specimens, including complex cases, ensuring proper fixation, processing, and embedding., • Performs routine and advanced microtomy techniques, including cutting various tissue types and troubleshooting cutting artifacts., • Performs routine Hematoxylin and Eosin (H&E) staining, as well as a range of special stains according to established protocols., • Prepares and maintains laboratory solutions, reagents, and stains, following established formulas and procedures., • Performs and documents routine and preventative maintenance on histology laboratory equipment, including microtomes, processors, and stainers., • Identifies and troubleshoots common technical problems related to tissue processing, embedding, microtomy, and staining, taking appropriate corrective actions., • Participates actively in the laboratory's quality assurance and quality control programs, including monitoring control slides and documenting any deviations., • Assists in the training and orientation of new Histotechnician I staff and histology trainees., • Manages the inventory of histology supplies and reagents, ensuring adequate stock levels and may be responsible for ordering supplies as needed., • Accurately enters and retrieves data from the laboratory information system (LIS) for specimen tracking, test results, and quality control records., • Files and retrieves tissue blocks and slides according to laboratory procedures., • Adheres to all laboratory safety policies and procedures, including the proper handling and disposal of hazardous materials., • May assist pathologists with gross examination and frozen section procedures., • Minimum of 3-5 years of experience working as a histotechnician in a laboratory setting, with demonstrated proficiency in routine and special staining techniques., • Strong knowledge of histology principles, techniques, and laboratory procedures., • Demonstrated ability to troubleshoot technical issues and perform quality control procedures., • Proficiency in operating and maintaining histology laboratory equipment., • Experience with laboratory information systems (LIS)., • Excellent attention to detail, manual dexterity, and organizational skills., • Strong communication and interpersonal skills, with the ability to work effectively as part of a team., • Ability to stand and sit for extended periods., • Excellent fine motor skills and hand-eye coordination for precise specimen handling and equipment operation., • Ability to lift and carry up to 25 pounds occasionally., • Normal or corrected vision, including color vision, to accurately assess tissue samples and staining quality.Benefits, • 100% coverage on employee health, vision and dental insurance, • Flexible Spending Accounts (FSA), • Retirement planning (401k), • Team building events outside of the office, • Strong compensation package JKGRMx8dF9

Job DescriptionJob Description The New York City Department of Youth and Community Development (DYCD) invests in a network of community-based organizations and programs to alleviate the effects of poverty and to provide opportunities for New Yorkers and communities to flourish. DYCD’s initiatives include COMPASS (the City’s comprehensive afterschool system), Community Centers, adult and youth literacy programs, youth employment programs, services for runaway and homeless youth, and community development programs. DYCD also collaborates with other City agencies on a range of mayoral initiatives to improve City services and ensure greater opportunities for minority and immigrant youth and families. In recent years, the Office of Neighborhood Safety and its array of programs tasked with improving community safety has been added to DYCD’s portfolio. DYCD has the largest investment in capacity building services of any City agency. Situated within the Bureau of Planning, Program Integration, and Evaluation (PPIE), the Capacity Building team: KEY RESPONSIBILITIES The Director will oversee a team of five, including two deputy directors, two TA specialists and a Special Projects Coordinator. The Director will report to the Assistant Commissioner of the Bureau. Critical areas of work include: • Coordinate inter-agency capacity building efforts with City partners., • Other duties as assigned. Preferred Skills The ideal candidate has experience in a government bureaucracy that partners with nonprofit organizations; has worked in nonprofit organizations; and/or has served as a consultant to nonprofit organizations. Candidate should also have: • Experience managing a team of seasoned professionals., • Demonstrated ability to handle multiple, high-priority projects or urgent requests., • Experience with government contracting, in a nonprofit or government setting., • Ability to synthesize information and develop actionable recommendations. CITY RESEARCH SCIENTIST - 21744 Qualifications 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Job Description Ordaos Bio is seeking a Scientist II to join our Drug Development team. This role is critical to expanding our in vitro screening, characterization, and validation capabilities across multiple therapeutic programs. You’ll play a key role in our NYC lab operations and will help advance our internal asset programs and pharmaceutical partnership projects through preclinical development. This is a hands-on position best suited for someone who thrives in fast-paced, dynamic startup environments and enjoys tackling new challenges at the edge of scientific innovation. The work is primarily on-site at our lab in SoHo, NYC (JLABS). The day-to-day for this role will include: • Performing routine cell culture and primary cell isolation (e.g., PBMCs), • Executing in vitro assays including flow cytometry, ELISA, Luminex, SDS-PAGE, Western blot, PCR, and others, • Supporting screening and QC of protein therapeutics using DSF, BLI, SEC, LC/MS, • Contributing to mammalian protein production, • Documenting all work using ELNs (preferably Benchling) and communicating results effectively to cross-functional teams, • Troubleshooting technical and methodological issues independently, • Bachelor’s or Master’s in a relevant biological science (e.g., Cell Biology, Immunology, Molecular Biology), • 2-4 years of hands-on lab experience in industry or academic research settings, • Experience maintaining cultured cell lines and working with primary cells such as human PBMCs, • Demonstrated ability to troubleshoot methodological and technical issues independently (, • Comfortable in a fast-paced, ambiguity-rich startup environment with shifting priorities, • Eager to learn, take on diverse challenges, and contribute across programs with varying goals and timelines, • Experience with both immortalized and primary cell culture, • Familiarity with protein characterization and in vitro assay development, • Strong attention to detail and ability to work independently, • Opportunity for ISO grants upon offer and milestones, • Competitive healthcare coverage through Blue Cross Blue Shield, dental and vision through Guardian Healthcare, • HSA (health savings account) program with maximum employer annual contribution, • 401k (traditional and Roth offered) with 100% match up to first 4% of pay, • 15 days paid vacation, in addition to 12 company paid holidays or floating holidays, • Free annual corporate membership to Citibike, • Monthly commuter benefits up to $130, • 4 weeks of paid "Compassionate Leave" for unforeseen or events that cause trauma or burden Salary Range: 90,000-110,000 annual base salary Ordaos is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. Ordaos will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

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