Trabajos mathematics phd en New York, New York - Page 2Crear alertas

About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote "half the money I spend on advertising is wasted; the trouble is I don't know which half" still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth. With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes-automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup! What you'll do: This is a unique opportunity to help us build robust and scalable systems and services that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do. The ideal candidate is somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus. Responsibilities • Build data solutions on top of Google Cloud Platform (GCP) using Python and other languages as appropriate., • Contribute to the technical direction and development of Haus' data services, infrastructure and tools., • Create and maintain scalable data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs., • Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary, • Create dashboards and reports to support business objectives and enable data-driven decision making, • Partner with data scientists, engineers, and product teams to accomplish all of the above! Qualifications, • 4-7+ years of experience as a Software Engineer., • Experience building and deploying large-scale distributed systems in Python or Go: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags., • Experience with cloud infrastructure (Google Cloud, AWS, etc)., • Experience building ETL/ELT data pipelines - batch and realtime, • Experience working with SQL and NoSQL databases. Bonus points, • Earlier stage startup experience., • Experience with data warehouses: Snowflake, BigQuery, RedShift., • Experience with data workflows and tools: dbt, dagster., • Experience with Third party data APIs integrations, • Experience with build systems and infrastructure management tooling like Terraform., • BS/MS/PhD in Computer Science, Applied Mathematics or a related field. What we offer We're a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work - this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we're probably not the right fit - and that's okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: • Flexible PTO - take time when you need it!, • Equity - Startup environment with part-ownership in our successes, • Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best, • WFH stipend to support the set up you need to be productive, • Events & Offsites - opportunities to connect and celebrate in real life!, • Free Lunch - Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self - we would love to hear from you.

Columbia Business School is seeking to hire one or more Staff Associates of research for the accounting division. The work will include quantitative and qualitative research and analysis involving the collection, coordination and management of information and data. This position provides an opportunity to gain experience in academic economics research and would be ideal preparation for a PhD program in accounting, finance, economics, or other related fields. This is a two-year position with a possible extension for a third year. The Staff Associate duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.)., • Perform statistical analysis, including regression analysis and machine learning techniques., • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, web sites, and other research outlets., • Perform case-based research, including work with detailed primary documents. Applicants for Staff Associate position are expected to have the following: • Programming experience in STATA and/or SAS and/or R is required., • Additional programming experience in one or more of the following languages: Python, SQL, Matlab, and/or C++ is preferred., • Familiarity with statistical tools such as linear regression is required., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Candidate must be organized and able to work on multiple projects simultaneously., • Up to two years of research experience in a research role as a research assistant during the academic year or a summer internship in a research lab or governmental institution. Columbia University is an Equal Opportunity/Affirmative Action employer. Women and minorities are especially encouraged to apply. 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.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a limited-term Assistant Professor faculty position in the area of applied and computational mathematics. The position begins July 1, 2026 for a term of 3 years. Salary is competitive and the teaching load is relatively light. Basic responsibilities focus on teaching, research and service. A recent PhD earned in the last 3 years and no later than the start date of the appointment, and extraordinary promise in research, are both required. A broad array of research groups is active in the department, with current research encompassing applied and computational mathematics, and their application to many areas of physics, materials science, biology, earth science, as well as imaging and data science. There is a strong cohort of activities on applied and computational mathematics within the Fu Foundation School of Engineering and Applied Sciences and the affiliated Data Science Institute. 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.

Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Machine Learning Engineers work to deploy end-to-end solutions to business problems leveraging AI and/or ML principles as needed to create those solutions. MLEs will take requests from stakeholders, define the components required for the project, gather data necessary for project EDA and training, then work with stakeholders to develop a plan around the productionized use of the solution, and work to put that solution into final production. • Consult with stakeholders to gather business requirements, translate them into agentic AI and data solutions, design high-level agent and model architechures, and demonstrate deep expertise in advanced analytics LLMs and AI/ML techniques to design, prototype, and build production-grade solutions to business problems., • Architect, build, and deploy agentic AI systems (single-agent and multi-agent workflows) on Google Cloud, leveraging Google's Customer Engagement Suite (CES), Vertex AI Agent Builder, and Gemini-family models to automate enterprise workflows in customer engagement, sales, marketing, and operations., • Design, integrate, and orchestrate the tools, APIs, function calls, retrieval pipelines (RAG), memory stores, and guardrails that extend agent capabilities, and own the end-to-end deployment, observability, evaluation, and lifecycle management of these agents in production., • Lead communication with other stakeholders to drive agentic use case development and manage expectations on model and agent limitations, latency, cost, and lead times., • Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, and interests, and use these signals to ground and personalize agent behavior., • Manage and execute entire projects from start to finish, including cross-functional project management; data collection and manipulation, analysis and modeling; communication of insights and recommendations; productionalization of final model and agent products., • Share findings with stakeholders to improve business decisions and/or influence strategic direction., • Monitor and stay updated with industry trends and emerging technologies in agentic AI, foundation models, and MLOps/AgentOps to identify opportunities for innovation and improvement., • Develop and maintain end-to-end modeling and agent code, and standardize the code for reusability in the production environment., • Profile users including customer segmentation to help the marketing team target specific audiences for upgrading services and for user retention, and operationalize these insights through agent-driven engagement. Graduate Degree in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry or Engineering. Phd is a plus * 3-5 years of work experience in classification, regression, clustering, natural language processing (NLP), experiments, and optimization. * Hands-on experience with Google's Customer Engagement Suite (CES) is required and non-negotiable, including building, configuring, and deploying solutions across CES components (e.g., Conversational Agents / Dialogflow CX, Agent Assist, Conversational Insights) for enterprise customer engagement use cases. * Demonstrated experience building agentic AI systems in production - including single-agent and multi-agent architectures, planning and reasoning loops, tool/function calling, and orchestration with frameworks such as Vertex AI Agent Builder, ADK (Agent Development Kit), LangGraph, LangChain, CrewAI, or AutoGen. * Proven ability to integrate new tools and external systems (REST/GraphQL APIs, internal microservices, databases, vector stores, knowledge bases, MCP servers) to extend agent capabilities, and to own deployment, CI/CD, monitoring, evaluation, and guardrails for agents running in production. * Ability to apply Bayesian inference, frequentist statistics, causal modeling, and/or machine learning techniques. * Experience with any of these: customer segmentation, A/B experiments, quasi-experiments, sales forecasting, churn propensity modeling, customer lifetime value analysis, credit risk, geospatial analytics, survey key-drivers, marketing mix modeling, multi-touch attribution, or recommender systems. At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our ___for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $156,774.00-$198,273.00/ year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in advanced mathematics, mathematical diagram interpretation, graph-based reasoning, geometry-focused problem design, reference solution writing, and structured technical review. This role supports current and upcoming remote consulting opportunities focused on structured mathematics task development, diagram-based problem analysis, graph interpretation, original problem authoring, reference solution preparation, and high-quality project execution. Selected professionals will apply their mathematical expertise to author, review, and annotate technical tasks involving mathematical diagrams, graphs, and geometric figures. Key Responsibilities Professionals in this role may contribute to: Mathematical Diagram & Graph Analysis • Review mathematical materials involving diagrams, graphs, geometric figures, visual problem setups, and symbolic representations, • Interpret visual mathematical information accurately and connect it to valid reasoning, assumptions, and problem requirements, • Identify unclear diagram elements, missing information, graph interpretation issues, and expected mathematical conclusions, • Create original mathematics problems based on diagrams, graphs, geometric figures, and technical visual materials, • Write clear reference solutions with step-by-step reasoning and rigorous mathematical justification, • Develop tasks across areas such as real analysis, algebra, topology, probability, combinatorics, differential equations, geometry, or related fields, • Annotate technical mathematics tasks according to structured review criteria, • Apply quality checks to assess correctness, clarity, rigor, visual grounding, and solution completeness, • Review solution paths, answer keys, diagrams, graphs, and problem statements for consistency and accuracy Strong candidates may have: • Advanced background in mathematics, applied mathematics, mathematical research, teaching, tutoring, contest coaching, or technical problem writing, • Working fluency in at least two areas such as real analysis, algebra, topology, probability, combinatorics, differential equations, geometry, or related mathematical fields, • Comfort reading and interpreting mathematical diagrams, graphs, geometric figures, and visual quantitative representations, • Strong ability to write clear, structured mathematical explanations, • High attention to detail and ability to evaluate reasoning step by step, • PhD in mathematics is helpful, • Master's degree in mathematics with teaching, research, tutoring, or applied experience is highly relevant, • Bachelor's degree in mathematics with substantial tutoring, contest coaching, applied math, or technical writing experience is also valuable, • Experience writing original math problems, contest-style tasks, benchmark questions, or technical educational materials, • Experience reviewing mathematical diagrams, graphs, geometric figures, function plots, proof diagrams, or advanced quantitative visuals, • Familiarity with mathematical notation, LaTeX, solution writing, grading rubrics, or structured annotation workflows, • Teaching, tutoring, contest coaching, curriculum design, assessment development, or applied mathematics experience, • Apply advanced mathematical reasoning and visual interpretation skills to structured remote project work, • Contribute to high-quality mathematics problem authoring, graph analysis, reference solution writing, and technical review, • Work on flexible part-time assignments aligned with your mathematical strengths, • Use your technical judgment in a rigorous, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment of approximately 20 hours per week depending on project availability, • Competitive rates between $75–$90 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Impact: help shape the future of AI systems built to reason about data and analytics. A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in mathematics, applied mathematics, statistics, formal proof writing, academic assessment design, question authoring, and structured mathematical content review. This role supports current and upcoming remote consulting opportunities focused on high-quality mathematics assessment development, multiple-choice question writing, academic content verification, reference solution review, and rigorous mathematical reasoning evaluation. Selected professionals will apply their mathematics expertise to author, review, and validate challenging assessment materials across core mathematical domains. Key Responsibilities Professionals in this role may contribute to: Mathematics Question Authoring • Create original, challenging multiple-choice questions across core mathematics domains, • Design questions that test deep conceptual understanding, formal reasoning, proof-based thinking, and applied problem-solving, • Ensure each question is precise, self-contained, unambiguous, and answerable based on the information provided, • Write clear reference solutions in structured markdown format, • Rate question difficulty across levels such as introductory undergraduate, advanced undergraduate, or postgraduate-level expertise, • Provide academic references from reputable sources such as peer-reviewed journals, university materials, or recognized mathematical resources, • Review pre-written mathematics questions for accuracy, clarity, rigor, completeness, and solvability, • Flag issues involving ambiguity, missing assumptions, weak distractors, unclear wording, or incorrect answer logic, • Edit questions where needed and document the rationale for changes Strong candidates may have: • Advanced expertise in mathematics, applied mathematics, statistics, or closely related quantitative fields, • Strong command of graduate-level mathematical concepts, formal proof writing, and rigorous reasoning, • Experience authoring, reviewing, teaching, grading, or verifying academic assessment content, • Ability to express complex mathematical ideas clearly and concisely in written English, • Strong attention to detail and ability to identify subtle logical, technical, or conceptual issues, • PhD or doctoral candidacy in mathematics, applied mathematics, statistics, or a closely related field is highly relevant, • Master's degree may be suitable for candidates with exceptional depth in a specific mathematics subdomain, • Experience with rigorous academic problem design, mathematical competition writing, research publications, university teaching, or advanced tutoring, • Familiarity with algebra, linear algebra, probability, statistics, analysis, calculus, discrete mathematics, combinatorics, graph theory, number theory, geometry, topology, ODE/PDE, dynamical systems, optimization, operations research, game theory, computational mathematics, numerical methods, logic, set theory, or foundations, • Experience preparing or reviewing exam questions, benchmark tasks, academic rubrics, reference solutions, or mathematics problem sets, • Strong comfort with markdown formatting, mathematical notation, academic references, and structured review workflows, • Apply advanced mathematics expertise to structured remote project work, • Contribute to high-quality academic benchmark development, question authoring, solution review, and mathematical reasoning evaluation, • Work on flexible assignments aligned with your academic, research, or mathematical background, • Use your technical judgment in a rigorous, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment of approximately 10+ hours per week depending on project availability, • Competitive rates between $40–$75 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

Candidates should possess a Master’s or PhD in Mathematics, experience in coding with Python or MATLAB, and strong communication skills.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in mathematics, chart interpretation, technical problem writing, diagram-based reasoning, reference solution development, and structured mathematical review. This role supports current and upcoming remote consulting opportunities focused on structured mathematics task development, chart-based problem analysis, diagram interpretation, technical annotation, reference solution writing, and high-quality project execution. Selected professionals will apply their mathematical expertise to author, review, and annotate technical tasks involving function plots, geometric figures, statistical charts, and mathematical diagrams. Key Responsibilities Professionals in this role may contribute to: Mathematical Chart & Diagram Analysis • Review mathematical materials involving function plots, geometric figures, statistical charts, numerical diagrams, and visual problem setups, • Interpret mathematical visuals accurately and connect them to valid reasoning, assumptions, and problem requirements, • Identify visual inconsistencies, unclear diagram elements, missing information, and expected mathematical conclusions, • Create original mathematics problems based on plots, diagrams, figures, charts, and technical visual materials, • Write clear reference solutions with step-by-step reasoning and rigorous mathematical justification, • Develop tasks across areas such as analysis, algebra, probability, combinatorics, numerical methods, applied mathematics, or related fields, • Annotate technical mathematics tasks according to structured review criteria, • Apply quality checks to assess correctness, clarity, rigor, and visual grounding, • Review solution paths, answer keys, diagrams, and problem statements for consistency and accuracy Strong candidates may have: • Advanced background in mathematics, applied mathematics, statistics, mathematical education, contest coaching, research, tutoring, or technical problem writing, • Working fluency in at least two areas such as analysis, algebra, probability, combinatorics, numerical methods, or applied mathematics, • Comfort reading and interpreting function plots, geometric figures, statistical charts, mathematical diagrams, and visual data representations, • Strong ability to write clear, structured mathematical explanations, • High attention to detail and ability to evaluate reasoning step by step, • PhD in mathematics is helpful, • Master's degree in mathematics with teaching, research, tutoring, or applied experience is highly relevant, • Bachelor's degree in mathematics with substantial tutoring, contest coaching, applied math, or technical writing experience is also valuable, • Experience writing original math problems, contest-style tasks, benchmark questions, or technical educational materials, • Experience reviewing mathematical diagrams, function plots, geometry figures, probability charts, statistical graphics, or applied math visuals, • Familiarity with mathematical notation, LaTeX, solution writing, grading rubrics, or structured annotation workflows, • Teaching, tutoring, contest coaching, curriculum design, or assessment development experience, • Apply mathematical reasoning and visual analysis expertise to structured remote project work, • Contribute to high-quality mathematics problem authoring, chart interpretation, and reference solution development, • Work on flexible part-time assignments aligned with your mathematical strengths, • Use your technical judgment in a rigorous, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment of approximately 20 hours per week depending on project availability, • Competitive rates between $70–$85 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date. Seeking "Expression of Interest" from postdoctoral researchers interested in Data Science at the Center for Data Science at NYU. Postdoctoral Researcher in Data

Senior Associate, Quantitative Research. Obra Capital is seeking a Senior Associate, Quantitative Research to join our growing Leveraged Finance team. Master's or PhD degree in financial mathematics, computer science, engineering, operations research, mathematics, physics or other quantitative disci

Data science, machine learning, optimisation models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, publications or active peer reviewer in related journals or conferences. Bachelor’s degree in Statistics, Econ

Chartered Financial Analyst from the CFS Institute, or Master's degree or PhD in: taxation, economics, statistics, public policy, mathematics, business, finance, financial engineering, management science and engineering, financial mathematics, industrial engineering, or operations research. Business

Bank Of America Quantitative Analyst. Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches. Academic background at undergraduate or, ideally, Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineerin

Qualifications Must-Have Bachelor's , Master's , or PhD in Physics , Chemistry , Mathematics , Biochemistry , or related Computational Sciences. Position: Mathematics, Biology, Chemistry, and Physics Professional Type: Freelance Compensation: $70–$90/hour Duration: 1–2 months Commitment: 15–25

Qualifications Must-Have PhD or doctoral candidate in Mathematics , Applied Mathematics , Statistics , or a closely related field.

Qualifications Must-Have PhD or doctoral candidate in Mathematics , Applied Mathematics , Statistics , or a closely related field.