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Computer/IT: Data Scientist @Stripe, Inc. (New York, NY &amp; various unanticipated locations across the US) Design, develop, and implement predictive models including probability of default and loss estimation using machine learning techniques (gradient boosting and survival curves) to assess creditworthiness and mitigate risk. Job req's Bach's in Financl engg, Engg, Math, Statistcs or a rltd fld &amp; 5 yrs of data Sci, modling or analytcs exp. 50% remote work permitted. Salary $234,000-$244,000/yr. Must send resume to <a href="mailto:ad-reply@stripe.com" target="_blank">ad-reply@stripe.com</a> and reference job code 3661534 to be considered.

Data Scientist

Quantitative Researcher – New York, NY. Use advanced modeling &amp; statistical analysis skills to research, design, &amp; develop advanced quantitative investment strategies. Minimum requirements: Master’s Degree in Mathematics, Statistics, BioStatistics, Computer Science or related quantitative field &amp; knowledge of: measure-based probability theory, stochastic processes, high-dimensional statistics, time series analysis, Bayesian statistics, decision theory, &amp; machine learning models incl. ability to organize, interpret &amp; analyze multivariate panel &amp; longitudinal data, establish channels of causality with state-of-the-art methods, &amp; balance resulting statistical biases with potential statistical uncertainty; optimization theory &amp; algorithms incl. linear, nonlinear, &amp; convex optimization; data analysis skills incl. ability to identify, visualize, &amp; validate statistical patterns in large financial &amp; nonfinancial datasets (&gt;10GB); Python packages incl. Pandas, NumPy, SciPy, Matplotlib, &amp; Scikit learn; computer programming in Python, Java, or C++; ability to develop distributed system programs to accelerate large-scale data processing &amp; complex computations; Linux/Unix operating systems; Bash scripting; version control collaboration software (Git, SVN); &amp; conducting academic research in a quantitative field of science, as evidenced by citations of prior research work. Must pass company’s required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team’s requirement; remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY 10013. Reference Job ID 13456

Quantitative Researcher

Quantitative Researcher -- New York, NY. Conduct comprehensive quantitative/statistical research &amp; analysis &amp; apply market intuition to enhance the monetization of alpha models. Utilize advanced quantitative techniques to research, develop &amp; execute experiments that analyze &amp; predict the impact of financial market trading activities on market dynamics &amp; counterparties. Minimum requirements: Master's Degree in Mathematics, Applied Mathematics, Statistics, Computer Science, Electrical Engineering or a related quantitative field &amp; knowledge of: Python libraries incl. numpy, scikit-learn, &amp; pandas for handling, analyzing, &amp; performing statistical data analysis on large (300-500 GB) datasets; statistical significance &amp; probability theory; mathematical tools, incl. linear algebra, multivariate calculus, &amp; random processes; ability to write production-level software code in Python &amp; C++, Java or Rust; ability to develop investment trading strategy incl. ability to research pipeline management &amp; perform benchmark risk research; automation techniques that enhance efficiency &amp; expedite daily operations; ability to research, design &amp; implement machine learning models used for predictive analytics &amp; model development; data distribution characteristics &amp; the ability to identify similarities between different data distributions; approximation algorithms to accelerate computational processes, managing trade-offs in accuracy; version control software, incl. git; &amp; Linux/Unix operating system &amp; bash scripting. Must pass company's required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team's requirement; remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY 10013. Reference Job ID 13337

Quantitative Research Analyst, Alpha Capture w/ J. Goldman &amp; Co., L.P. in NY, NY. Telecommuting permitted: wrk may be performed w/in normal commuting distance from the J. Goldman &amp; Co., LP. Office in NY, NY, 2 dys/wk. Responsible for deployg new strategies to productn, monitorg &amp; maintaing daily trading flows, validatg strategy &amp; trading output, identifying &amp; resolving issues or discrepancies in the tradg procss, implementg &amp; overseeg risk mgmt protocols, &amp; collaboratg w/ traders &amp; othr internl stakeholdrs. Positn reqs a Master's deg (U.S. or foreign equiv) in Fin, Math, Stats, Financl Engg or Comp Sci &amp; 2 yrs of exp in the job offerd or rel role. Must have 2 yrs of exp w/: Writing code in Python for quant research orproductn systms; Mng &amp; creatg quant portfolio trading strategies; Conductg quant research (runng &amp; analyzg research studies) incl signal research, stock selectn &amp; risk modelg; Constructg models &amp; signals to forecast returns; Rigorous stat testing; Researchg &amp; dvlpng analyticl tools rel to portfolio constructn &amp; optimizatn, performance measuremnt, portfolio analytics, attributn &amp; P&lt; Defing &amp; recommendg modl specs or data collectn methds; Conferrg w/ financl enginrs or analysts on tradg strategies, mkt dynamics, or tradg systm performance to inform dvlpmnt of quant techniques; Dvlpng core analytical capabilities or model libraries, usg advanced stat quant, or econometric techniques; Modifyg &amp; runng backtests of existg &amp; new tradg strategies; Assistg in productn of databases &amp; rebalancg of portfolios; &amp; Process of testg &amp; releasgcode changes to productn. Must have 1 yr of exp w/: Researchg factor timg signals; &amp; Mng &amp; creatg internal alphacapture tradg strategies QUALIFIED APPLICANTS: Email resumes to <a href="mailto:careers@jgoldmanlp.com" target="_blank">careers@jgoldmanlp.com</a> &amp; ref the job code "Quantitative Research Analyst, Alpha Capture" in the subject line.

Quantitative Research Analyst, Alpha Capture

Senior Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): Identify use cases leveraging data science and machine learning and break them down into development steps for junior data scientists. Lead the team to perform exploratory data analysis using open-source tools and proprietary solutions. Work closely with clients and project managers on the definition of phases, tasks, outputs highlighting the role of business and data understanding, preparation, modeling, evaluation, and deployment for analytic projects. Perform data selection, imputation, feature generation and transformations, merging and reformatting as needed. Work with the team on best approach for the use case and training, testing, and validating a wide variety of machine learning algorithms and models. Embed model monitoring and result explainability into machine learning solutions to enhance the models' trust and transparency to make data science results consumable by non-data professionals. Lead strategy discussions and help to design and develop a solution that meets client goals and outcomes as well as debug, troubleshoot, design and implement solutions to complex technical issues. Leverage in predictive modeling, optimization, and/or machine learning analytics techniques using tools/programming languages including Spark as well as ML Deployment capabilities like Docker, Container, Microservices, Kubernetes within a Big data-enabled environment. Implement new, highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as speech recognition, natural language processing and time series predictions. Build reports and dashboards for analytics or data science within the Medicare/Medicaid, healthcare and life sciences sectors as well as perform requirements gathering on Medicare data. Utilize: Python, R, Statistical modeling, Machine Learning modeling, GitHub, ETL, Power BI/Tableau, Snowflake, and SQL. Required: Master's degree or equivalent in Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist or related. One (1) year of experience must include utilizing Python, R, Statistical modeling, Machine Learning modeling, GitHub, ETL, Power BI/Tableau, Snowflake, and SQL. $170998 to $212000 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference V158 in the subject line.

Senior Data Scientist

Senior Managing Consultant, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): Work with clients to define key objectives and design advanced AI (Artificial Intelligence) prompts that deliver precise, valuable outputs aligned with business goals. Transform clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Incorporate AI Governance concepts as Fairness, Bias, Transparency, into model development process and ensure team follows principles during engagements. Conduct in-depth testing and analysis of AI-generated content, pioneering innovative prompt engineering techniques to enhance accuracy and relevance. Mentor junior data scientists and consultants in data science best practices and relevant industry domain to project work, as model selection for Generative and Traditional AI, plus enabling continuous improvement through model monitoring metrics. Leverage AI-driven techniques, as Generative AI, to remove traditional manual processes to operate the company's products and services. Work with senior stakeholders internally and clients, to provide solutions to business objectives that leverage AI technologies, as watsonx or hyperscaler offerings (i.e. AWS, Azure, Google). Communicate complex AI based modelling outputs aligned with client key objectives into understandable actions where various senior stakeholders and clients can enact upon. Utilize: Watsonx toolsets (ie. Wastonx.ai, Wastonx.data, Watsonx.Orchestrate), Python, Frameworks and latest industry toolsets (such as Scipy, Sentence Transformers, Pytorch, Tensorflow, Scikit-learn), BI dashboarding technologies (such as Power BI, COGNOS), Natural Language Process (NLP), MLOps, GenAI Transformer Architecture. Required: Master's degree or equivalent in Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist, Cognitive Engineer or related. One (1) year of experience must include utilizing Watsonx toolsets (ie. Wastonx.ai, Wastonx.data, Watsonx.Orchestrate), Python, Frameworks and latest industry toolsets (such as Scipy, Sentence Transformers, Pytorch, Tensorflow, Scikit-learn), BI dashboarding technologies (such as Power BI, COGNOS), Natural Language Process (NLP), MLOps, GenAI Transformer Architecture. $176076 to $225000 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference V164 in the subject line.

Senior Managing Consultant

Senior Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US: Lead a team of Artificial Intelligence data scientists and engineers as a senior data scientist for the generative AI-analytics-automation practice (public market). Advise large clients on their AI strategy and AI-enabled business transformation, collaborating with industry-focused teams to drive business growth at key clients. Shape, lead, and deliver client projects for AI advisory, AI governance, and trustworthy AI. Lead the artificial intelligence (AI) and advanced analytics teams comprised of data scientists. Perform exploratory analysis of data to identify insights. Employ statistical and machine learning techniques to create predictive models. Design and develop advanced visualizations to improve data consumption and reveal insights. Build custom data flow and processing modules to aggregate and analyze large quantities of data. Recommend and build systems for data analytics and data integration. Set up data lakes and big data processing platforms to handle very large unstructured and structured data. Perform graph analysis and social media data analysis to identify relationships and trends between entities. Utilize: Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn). Required: Master's degree or equivalent in Information Systems Management, Data Analytics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Senior Data Scientist or related. One (1) year of experience must include utilizing Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn). $241973 - $275000 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference H250 in the subject line.

Postdoctoral Faculty Fellows Liberal Studies -GLOBAL WORKS AND SOCIETY -WRITING New York University Arts &amp; Science &nbsp;
Liberal Studies at New York University invites applications for three Postdoctoral Faculty Fellow positions to begin September 1, 2026, pending administrative and budgetary approval.
The Liberal Studies Core is a dynamic liberal arts curriculum that provides a global and interdisciplinary foundation for nearly 100 NYU majors. The curriculum emphasizes conceptual and spatial frameworks to trace the movement of ideas and the interconnectivity of material culture, through the study of different texts, histories, exchanges, structures and systems, languages, arts, and writing from early antiquity through contemporary times. Small seminar-style classes and close faculty-student interaction ensure the benefits of a liberal arts college within a large urban research university. We are especially interested in hiring qualified candidates who can contribute through their research, teaching and service to the intellectual diversity and excellence of the Liberal Studies community.
Liberal Studies Postdoctoral Faculty Fellows teach two courses each semester in the Core Curriculum. Fellows work closely with an assigned Faculty Mentor, they attend pedagogy workshops that explore innovative approaches to interdisciplinary global teaching, and they have the opportunity to lead faculty development workshops or host program wide events in their area of scholarly, creative, or pedagogical expertise.The initial appointment is for one (1) year, and it may be renewed for two additional years, based upon satisfactory performance reviews and mutual agreement.&nbsp; Postdoctoral Faculty Fellows are limited to a maximum of three (3) years in rank; they are non-tenure track.
We seek applicants in the following areas:
GLOBAL WORKS AND SOCIETY (two positions)
PhD in Political Theory, Philosophy, History, or related fields in the social sciences. Candidates must demonstrate the ability to draw on ancient and early modern sources in their teaching with a global emphasis in the Global Works and Society sequence of the Core Curriculum. Candidates must embrace interdisciplinary and intersectional approaches from a variety of global perspectives and must have the ability to examine relationships of power and to interrogate the historical roots of current challenges.
WRITING (one position)
PhD in Writing Studies, Creative Writing, Nonfiction Writing, Rhetoric, Journalism, Translation Studies, TESOL, Applied Linguistics, or closely related field. Candidates should have a demonstrated ability to teach first-year writing in an interdisciplinary and global-focused LS Core Curriculum. Candidates with additional specialization in TESOL, science/environmental writing, and/or qualitative research writing are strongly encouraged to apply.
Minimum qualifications: Successful candidates must have a PhD conferred by the date of appointment, or have received the PhD no more than three years before the date of appointment. We are especially interested in qualified candidates who share Liberal Studies’ commitment to equity and inclusion and belonging, and who can contribute to the diversity of intellectual life in LS and NYU. Candidates must present demonstrated experience and commitment to interdisciplinarity, intersectionality, and a teaching approach informed by global perspectives. Commitment to excellence in undergraduate teaching required; some college-level teaching experience, and evidence of outstanding scholarship and relevant professional activity are desirable.
In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $60,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.
Applications include ONLY (1) a cover letter, (2) a current c.v.. Complete applications must be recorded by 11:59 p.m. Eastern Standard Time (US), November 15, 2025.&nbsp; Applications recorded after this deadline will not be considered.
Applicants may apply directly through the following links:
GLOBAL WORKS AND SOCIETY (two positions) <a href="https://apply.interfolio.com/174370" target="_blank">https://apply.interfolio.com/174370</a> WRITING (one position) <a href="https://apply.interfolio.com/174368" target="_blank">https://apply.interfolio.com/174368</a>
Liberal Studies sees equity and inclusion and belonging as essential to education and the development of leadership in a globally interconnected world. These values inform LS as a collegial and respectful environment for students, faculty and staff—with particular attention to improving the student experience. To learn more about the Liberal Studies commitment to equity and inclusion and belonging, please read here: <a href="https://liberalstudies.nyu.edu/student-life/global-inclusion.html" target="_blank">Global Inclusion</a>. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the Arts &amp; Science commitment to inclusive excellence, please read here: <a href="https://as.nyu.edu/departments/facultyexcellence.html" target="_blank">A&amp;S Inclusive Excellence</a>

Symphony Talent

Postdoctoral Faculty Fellows, Liberal Studies, GLOBAL WORKS & SOCIETY and WRITING

<h3>Job Description</h3>
Job DescriptionSalary: 
Market Research-Quantitative Project Director/Sr. Project Director (temporary role, full-time hours, and potential to become regular staff employee)
Location:Remote (U.S.-based, EST time zone workday)
Lieberman is looking to add a Project Director/Senior Project Directorwith a true passion for consumer insights and storytelling to join our quantitative research team. This individual will work together with our custom research team to execute multiple research projects.
Key Responsibilities
<ul>
<li>Independently manage multiple complex national and international research projects simultaneously</li>
<li>Write questionnaires</li>
<li>Manage fielding of projects</li>
<li>Oversee data processing and data analysis</li>
<li>Proof and post data for toplines and reports</li>
<li>Develop insightful reports and actionable final recommendations in PowerPoint, while having a clear understanding of the market and business implications of the research findings</li>
<li>Manage communication with clients: project updates, problem solving of issues where necessary.</li>
</ul>
 Qualifications
<ul>
<li>3+ years experience in Quantitative Market Research may apply, as there are open quant research positions at a variety of levels .</li>
<li>Experience in the pharma/healthcare sector is preferred.</li>
</ul>
Apply: <a href="https://lieberman.bamboohr.com/careers" target="_blank">https://lieberman.bamboohr.com/careers</a>
Join us in this exciting opportunity to contribute to ourexceptional, growing quantitative practice!

Market Research-Quantitative Project Director/Sr. Project Director (temporary role, full-time hours,

<h3>Job Description</h3>
Job DescriptionSalary: USD 92 Per hour 
HI Everyone,
 
We at Datamundi are looking for AI Mode(Query Vetting experts).
Please find the below job description.
Raters for GenAI Data (Target Languages) 
Key Responsibilities:
<ul>
<li>Engage with GEN AI researchers and engineers to understand data collection/evaluation requirements</li>
<li>Expand high-level requirements into a detailed workflow and communicate the same to a larger team</li>
<li>Execute very quickly on collection &amp; evaluation workflows with minimal supervision</li>
<li>Innovate on data collection workflows to determine the most efficient way of achieving the researcher/engineers goal</li>
<li>Collaborate with peers &amp; cross-functional stakeholders to achieve maximum data throughput with highest quality</li>
<li>Conduct In-depth research using LLM models. Delve deep into specific domains to gather reliable and up-to-date information.</li>
<li>Thoroughly evaluate content and provide detailed feedback to ensure high quality and informativeness. This includes assessing original and curated content for LLM evaluation and training, and judging model responses to complex, deeply researched problems that current models cannot yet answer correctly.</li>
<li>Fact checking and accuracy verification (precision and recall). Meticulously verify the factual integrity of the content, ensuring accuracy and mitigating the risk of the LLM generating misinformation once trained with this data.</li>
</ul>
Required Qualifications &amp; Experience:
<ul>
<li>Language Proficiency: Candidates must demonstrate Native or Bilingual Proficiency or Full Professional Proficiency in reading and writing in at least one of the following languages:
<ul>
<li>English - Native of US or UK</li>
<li>Portuguese - Native of Brazil</li>
<li>Indonesian - Native of Indonesia</li>
<li>Spanish - Native of Spain or any of the spanish countries</li>
<li>Japanese - Native of Japan</li>
<li>Korean - Native of Korea</li>
<li>Hindi - Native of India</li>
<li>German - Native of Germany</li>
</ul>
</li>
</ul>
<ul>
<li>Educational Background:
<ul>
<li>Graduate with distinction with deep cultural knowledge.</li>
<li>Graduated from a top-tier US and international university or institute</li>
</ul>
</li>
</ul>
Core Competencies &amp; Skills:
<ul>
<li>Exceptional Reading and Writing Proficiency in the target language: Mastery of grammar, syntax, style, and the ability to produce clear, concise, and engaging content across various formats (articles, blogs, technical documentation).</li>
<li>Strong Research and Fact-Checking: Ability to conduct in-depth research, identify credible sources, and meticulously verify information for accuracy and to mitigate biases.</li>
<li>Attention to Detail: Precision in language, accuracy in data presentation, and thorough proofreading to deliver polished, error-free work.</li>
<li>Communication Skills: Ability to articulate ideas clearly, actively listen, collaborate effectively with teams, and convey complex information to diverse audiences.</li>
<li>Understanding of AI and LLMs: A foundational understanding of AI principles, machine learning, deep learning, natural language processing (NLP), and how LLMs work, including their capabilities and limitations.</li>
<li>Prompt Review: Proficiency in identifying characteristics of effective and precise prompts that generate desired, high-quality outputs from LLM models.</li>
<li>Familiarity with AI Tools: Experience using AI writing assistants and platforms to generate, refine, and optimize content.</li>
<li>Ethical AI Awareness: Understanding potential biases in AI systems and the ethical implications of AI-generated content, with a focus on mitigating bias and promoting responsible use.</li>
<li>Data Literacy: Ability to work with data, including understanding data collection, preparation, cleaning, and transformation for LLM training</li>
</ul>
Interested please reach me out to <a href="mailto:valencia.vinnie@datamundi.ai" target="_blank">valencia.vinnie@datamundi.ai</a>
Thank you!!
Regards,
Valencia Lewis

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