data engineer

senior data engineer

data scientist

data analyst

senior data scientist

senior data analyst

Wonder

<div>About Wonder
Everything&rsquo;s on the menu at Wonder. Except compromise.
Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they&rsquo;re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.
Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.
Join us as we work to make great food more accessible.<h2 class="jobSectionHeader">
About The Opportunity</h2>
We are seeking a highly analytical and collaborative Senior Data Analyst to join our team. In this role, you will support the accounting and finance data needs across all Wonder brands (Wonder, Grubhub, Blue Apron, Tastemade, Spyce, etc.). This role sits at the intersection of finance, accounting operations, and data. Reporting to the Director of Finance Data &amp; Systems, the Senior Data Analyst will be the backbone energizing the elevation of management financial reporting, accounting month-end close, and audit deliverables.
The Impact You'll Make:<ul><li>
Partner with accounting team to support recurring close deliverables, ensuring data is accurate, reconciled, and delivered against firm month-end close deadlines.</li><li>
Connect and analyze data across multiple source systems to explain financial results, support reconciliations, and accounting workpapers that stand up to audit scrutiny.</li><li>
Build and maintain reporting and analytical tools that improve the efficiency, automation, and timeliness of recurring deliverables and standardized reporting, as well as ad-hoc analysis.</li><li>
Partner with the central data and data engineering teams to ensure the accuracy and availability of the financial data required for both day-to-day decisions and the quarterly close.</li><li>
Support external audit data requests, including documenting data sources and lineage to strengthen audit readiness.</li><li>
Proactively identify opportunities to leverage technology and process improvements that increase the rigor and repeatability of our close.</li><li>
Help develop and evolve management financial reporting tools and data models in collaboration with the functional areas of the business, data engineers and software developers.</li></ul><h2 class="jobSectionHeader"> 
What You'll Bring To The Table:
</h2><ul><li>A bright, highly analytical, and technically oriented individual who can execute in a dynamic, fast-paced environment.</li><li>
Advanced knowledge of Microsoft Excel, including experience working with large volumes of data and building reporting tools.</li><li>
Advanced SQL skills.</li><li>
4+ years of practical experience analyzing and engineering large data sets - ideally in a finance, accounting, or operations context.</li><li>
Comfortable connecting and interpreting data across disparate source systems to answer accounting and financial questions.</li><li>
Familiarity with accounting operations and the month-end close cycle is a strong plus; experience supporting external audits is a bonus.</li><li>
Highly organized, with a track record of managing projects and competing priorities under deadline pressure while maintaining composure.</li><li>
Strong attention to detail paired with a big-picture orientation.</li><li>
Self-starter with a high degree of motivation, a bias for action, and a passion for innovation; eager to develop processes and deliverables from the ground up.</li><li>
Strong collaboration skills, with the ability to partner across internal teams (accounting, finance, operations, data, and engineering) and with external stakeholders such as auditors.</li><li>
Track record of acquiring new tools, skills, and knowledge to better execute on goals.</li></ul>
New Jersey &amp; New York Base Salary: $149,000 - $157,000. 
Illinois Base Salary: $134,000 - $141,500.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens &mdash; evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.</div>

Senior Data Analyst

Coda Search│Staffing

<div>
 
 We are currently partnered with a global $80B real estate investment manager looking to add a Acquisition Analyst to the team. They invest across the full spectrum of real estate asset classes, including office, multifamily, industrial/logistics, retail, hospitality, and alternative sectors such as data centers, life sciences, and student housing across North America, Europe, and Asia-Pacific. The firm is known for its disciplined underwriting culture, entrepreneurial deal teams, and a track record of deploying capital across the risk spectrum, from core to opportunistic strategies.
 
 
 
 
 
 The Acquisitions Analyst will support all phases of the investment process, from initial sourcing through closing, working directly Vice Presidents and Directors on live transactions.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain complex financial models to underwrite acquisitions across asset classes, including cash flow projections, waterfall structures, and returns analysis (IRR, equity multiple, cash-on-cash).
 </li>
 <li>
 Conduct market research and competitive analysis to support investment theses, including rent comps, sales comps, supply/demand dynamics, and macro trends.
 </li>
 <li>
 Prepare investment committee materials, including offering memoranda summaries, deal screens, and formal IC presentations.
 </li>
 <li>
 Support due diligence workstreams, coordinating with legal, tax, engineering, and third-party consultants to identify and quantify deal risks.
 </li>
 <li>
 Assist with capital markets activity, including debt financing analysis and coordination with lenders and equity partners.
 </li>
 <li>
 Track pipeline activity and maintain deal databases used for portfolio-level reporting and strategic planning.
 </li>
 <li>
 Participate in property tours, broker meetings, and management calls as part of the deal team.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 1 - 2 years of experience in a real estate acquisitions, asset management, or investment banking M&amp;A.
 </li>
 <li>
 Bachelor's degree from a top-tier university, strong academic record (finance, real estate, economics, or related field preferred).
 </li>
 <li>
 Advanced financial modeling skills; direct Argus Enterprise experience is a strong plus but not required.
 </li>
 <li>
 Demonstrated ability to manage multiple live deals under tight deadlines in a fast-paced, deal-driven environment.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to present analysis clearly to senior stakeholders.
 </li>
 <li>
 High attention to detail, intellectual curiosity, and genuine interest in real estate as an asset class.
 </li>
 </ul>
</div>

Real Estate Acquisitions Analyst | $80B AUM | NYC

Faire

<div><div>About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>
Note: This is a remote role open to candidates located in Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin. 
 
About this role

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.

Within the Platform group:
<ul>
<li>The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.</li>
<li>The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.</li>
</ul>
The teams also own relationships with relevant technology infrastructure vendors.

Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy &amp; Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.

We're looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.

What you'll do
<ul>
<li>Plan and execute on technology projects that scale with Faire's growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.</li>
<li>Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.</li>
<li>Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.</li>
</ul>
Qualifications
<ul>
<li>Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.</li>
<li>Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.</li>
<li>Strong SQL and Python skills and experience.</li>
<li>Data warehousing experience at Petabyte scale.</li>
<li>Snowflake, Airflow, Spark experience especially valuable.</li>
<li>Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.</li>
<li>Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.</li>
<li>Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.</li>
<li>Excellent communication, leadership, and influencing skills.</li>
<li>A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.</li>
<li>Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.</li>
</ul>
Salary Range

California &amp; New York: the pay range for this role is $276,000 to $379,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.<div>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you'll love working at Faire
<ul>
<li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</div></div>

Senior Staff Data Engineer - Platform Data and Analytics

Pandora

<div>
 
 Analyst, Real Estate Strategy, Pandora NAM
 
 
 
 As the largest jewellery brand in the world, we a give a voice to millions of people&rsquo;s loves every day. Our beautiful products empower people all around the world to express themselves. We are proud to be part of their stories and the most important moments in their lives.
 
 
 Where original thinking is welcomed, and can turn into positive impact in a heartbeat, we can dream big, dare to act, and deliver with care and passion. At Pandora where you can each craft far more than just an incredible career.
 
 
 
 About The Team
 
 
 
 As the North America&rsquo;s Analyst for Real Estate Strategy, you set and implement controlling routines and strategies for all Real Estate functions in the US and Canada. This role will perform trend analysis and prognosis, financial reporting and drive risk management for the Real Estate function in the US and Canada.
 
 
 The Analyst for Real Estate Strategy will foster and support the collaboration between Real Estate function and the other departments (Store Operations, HR, Marketing, Finance, etc.).
 
 
 <ul>
 <li>
 Please note this position is based in NYC and operating off a hybrid work schedule with Tuesday &ndash; Thursday in office.
 
 
 </li>
 </ul>
 
 Your Role as an Analyst, Real Estate Strategy
 
 
 
 <ul>
 <li>
 Set and implement controlling routines and strategies for the US and Canada.
 </li>
 <li>
 Support all local Expansion functions in setting clear strategies and goals.
 </li>
 <li>
 Translate regional strategies and set tangible goals and targets for your market.
 </li>
 <li>
 Ownership of all relevant market data, securing accuracy and relevance.
 </li>
 <li>
 Perform and support key analysis on major Real Estate and Financial KPIs (ROI, rent levels, square-meter selling, net investment, operational costs, etc.).
 </li>
 <li>
 Monitor and review sales, surplus, operational costs, and CapEx for your market.
 </li>
 <li>
 Create, utilize and continuously update Store KPIs benchmark data for budgeting and forecasting purposes. (Traffic, Conversion Rate, ADS, etc.)
 </li>
 <li>
 Collaborate with Real Estate Directors on tracking and development of upcoming Lease Renewals and Major Landlord Package Negotiations.
 </li>
 <li>
 Collaborate, review, and analyse market data and reports from third- party vendors.
 </li>
 <li>
 Prepare ad-hoc analysis and business cases to evaluate current and future business opportunities.
 </li>
 <li>
 Ensure that accurate information about the project pipeline and portfolio is available to other local departments and the central support organization (planned number of projects, opening/closure dates, project status, etc.).
 </li>
 <li>
 Analyse trends and deviations versus budget/targets and draw conclusions on how to improve the result.
 </li>
 <li>
 Ownership of all budgets presented for projects and annual budgets for Leasing and C&amp;F (Construction &amp; Facilities).
 </li>
 <li>
 Create and support monthly, quarterly, and annual reporting requirements to local and global functions for CapEx and OpEx.
 </li>
 <li>
 Own local budget and forecasting process and data gathering for Leasing.
 </li>
 <li>
 Work according to the general guidelines to ensure routines and drive improvements/actions in processes, methods, and tools to minimize business risks.
 </li>
 <li>
 Secure financial transparency at the highest level and ensure that each team member is aware of its responsibilities and approval rights.
 </li>
 <li>
 Work in close collaboration with the Finance, Construction-Store Design &amp; Facility and Store Operations functions.
 </li>
 <li>
 Support the North Americas&rsquo; Leasing Team with analysis and business case preparation.
 
 
 </li>
 </ul>
 
 Craft Your Career With Us If You Have
 
 
 
 <ul>
 <li>
 3-5 years of relevant working experience in a Controlling, Finance or Business Analyst role.
 </li>
 <li>
 Prior experience of working in auditing, accounting and/or controlling, preferably within the retail sector.
 </li>
 <li>
 Experience preparing and presenting financial reporting to Senior Management and other stakeholders.
 </li>
 <li>
 Good understanding of accounting principles and support systems.
 </li>
 <li>
 Advanced level in Power BI, MS Teams, SharePoint, Excel, PowerPoint.
 </li>
 <li>
 Have a structured way of working, good at conceptualizing ideas and defining conclusions with supporting arguments.
 </li>
 <li>
 Enjoys teamwork and effectively collaborates with a group of diverse people in order to achieve set goals and targets.
 </li>
 <li>
 Strong business mindset communicates well and comfortable in making decisions.
 </li>
 <li>
 You succeed in your work and make others succeed. High energy and willingness to drive a global agenda.
 </li>
 <li>
 Understand strategic development and business priorities.
 </li>
 <li>
 Stakeholder management, business partnering and influencing.
 </li>
 <li>
 Strong and effective communication &ndash; verbally and written.
 </li>
 <li>
 Proficiency with Microsoft Office, Power Bi, EMP Tools.
 
 
 </li>
 </ul>
 
 
 
 
 
 Our Benefits &amp; Perks
 
 
 
 At Pandora, we dare to invest in our people, care for their well-being, support their growth, and empower them to thrive both personally and professionally. Our comprehensive rewards package includes competitive pay, health and wellness benefits, retirement savings, learning and development opportunities, employee discounts, and paid time off. Visit our Crafted With Care Site to explore the full range of benefits available to our employees.
 
 
 
 
 
 
 
 New York Salary:
 
 $93,000 - $116,000 commensurate with experience
 
 
 
 About Pandora
 
 
 
 Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 7,000 points of sale, including more than 2,800 concept stores.
 
 
 Headquartered in Copenhagen, Denmark, Pandora employs around 39,000 people worldwide and crafts its jewellery with 100% recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 32.5 billion (EUR 4.4 billion) in 2025.
 
 
 Pandora&rsquo;s recruitment procedures are designed to be transparent and clear for all candidates. This helps us ensure that applicants are provided with a fair and equal opportunity to demonstrate their competencies and skills by removing blocking factors, possible biases, and risks of discrimination. We encourage everyone applying to our vacancies to refrain from adding identity-related elements such as a photo, marital status, and age.
 
 
 
 About Pandora NAM
 
 
 
 The Pandora North America team in the USA &amp; Canada consists of more than 115 employees working at our offices in New York &amp; Baltimore, more than 80 in our Logistics Center in Columbia, Maryland, an additional 100 in field positions, and more than 3,900 in our owned and operated stores.
 
 
 Today, the USA is Pandora&rsquo;s single largest market. The Pandora North American region as a whole encompasses over 1,400 points of sale, including over 420 concept stores, with more than 300 being owned and operated by Pandora.
</div>

Analyst, Real Estate Strategy

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>New York , NY
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div><div>Principal Architects are expected to develop highly available, fault tolerant architectures following industry standards and best practices. They are expected to lead other architects and develop standards and best practices across the architecture landscape. This includes internal business applications, new technology initiatives, and consumer-facing systems. The successful candidate will work closely with clients (users) to complete the analysis and design of systems and follow the implementation to completion.
 
 
**RESPONSIBILITIES**
 
 
<ul><li>Applies extensive knowledge of theories, practices and design matters.
</li></ul> 
<ul><li>Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
</li></ul> 
<ul><li>Exercise a wide latitude in determining objectives and approaches to critical assignments.
</li></ul> 
<ul><li>Knowledge with broadcast production or video content management systems
</li></ul> 
<ul><li>Knowledge of media management strategies and distribution workflows
</li></ul> 
<ul><li>Lead and contributes to development of company objectives across and principles to achieve goals
</li></ul> 
<ul><li>Deep understanding of AWS/Azure services and products
</li></ul> 
<ul><li>Provide feasibility reviews for potential new projects, including development effort estimates
</li></ul> 
<ul><li>Strong understanding of the C4 model and traditional design artifacts
</li></ul> 
<ul><li>Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
</li></ul> 
<ul><li>Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
</li></ul> 
<ul><li>Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
</li></ul> 
<ul><li>Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
</li></ul> 
<ul><li>Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
</li></ul> 
<ul><li>Contribute to our modern backend orchestration or modern web frontends.
</li></ul> 
<ul><li>Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments. 
</li></ul> 
 
 
</div></div></div><div><div><h2 class="jobSectionHeader">Required Skills and Expereince</h2> 
</div><div><div> 
 
<ul><li>7+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
</li></ul> 
<ul><li>Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
</li></ul> 
<ul><li>Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
</li></ul> 
<ul><li>Applied experience with Terraform or similar IAC tools to manage cloud resources.
</li></ul> 
<ul><li>A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
</li></ul> 
<ul><li>Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
</li></ul> 
<ul><li>Strong knowledge of AI industry trends and best practices
</li></ul> 
<ul><li>Strong experience with the C4 model and other traditional design artifacts
</li></ul> 
<ul><li>Experience working in an Agile environment 
</li></ul> 
 
<ul><li>Familiarity with continuous integration practices
</li></ul> 
<ul><li>BS in CS, EE or equivalent experience required'
</li></ul></div></div></div></div>The base compensation range for this role in the posted location is: $120,000- $180,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Senior Data Scientist

NYU Langone Health

<div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.

Position Summary: 
We have an exciting opportunity to join our team as a Data Analyst.
 
 
The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare Delivery Science and the Center for Healthcare Innovations and Delivery Science, as well as the Rapid RCT Lab. We are seeking a qualified Data Analyst to provide support for data management and analyses across the Rapid RCT portfolio of projects. The Data Analyst will be responsible for planning, designing, and implementing statistical analyses. A successful applicant will be able to work autonomously and comfortably in an academic medical center environment.

Job Responsibilities:
<ul>
<li>Maintain existing data collection and analysis systems in support of the research protocol
</li>
<li>Provide technical assistance to analysts and researchers in accessing and analyzing datasets, as needed
</li>
<li>Create descriptive data summaries including visualizations and written descriptions of data findings for a wide range of audiences
</li>
<li>Design and conduct analyses pertaining to data acquired through various data sources
</li>
<li>Work with staff and others to facilitate automation of standard, recurrent data acquisition, management, analysis and reporting
</li>
<li>Support the development of publications and conference presentations, including drafting academic and nonacademic publications, writing conference abstracts, conducting lit reviews and creating tables and other data visualizations for presentations
</li>
<li>Under direct supervision by the Division Director and with the guidance of the team's lead biostatistician, conduct basic statistical analyses and present them to the team</li></ul> 

Minimum Qualifications: 
To qualify you must have a Masters degree in health care economics, health care policy, applied statistics, data science, biostatistics or a Bachelors degree with relevant work experience; Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; At least 2 years of work experience and/or research experience in a relevant setting; Ability to select and apply appropriate statistical methods for collecting and summarizing varied data; Excellent organization, time management, and communication skills and the ability to work both independently and as part of a collaborative research team

Preferred Qualifications: 
1. Knowledge of principles and methods of biostatistics; principles, theories, and procedures of epidemiology, including study design, statistical analysis, and causal inference; 2. Appropriate computer processing methods used to generate, organize and display statistical and research data; and standard English grammar, spelling, and usage; 3. Strong attention to detail; 4. Problem-solving and critical thinking skills; 5. Planning/organizational skills; 6. Personal motivation

Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.60 - $83,475.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here</div>

Data Analyst

Alignerr

<div>
 
 Threat Intelligence Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models &mdash; and we need experienced threat intelligence professionals to help us get it right.
 
 
 As a Threat Intelligence Analyst, you'll apply your real-world expertise in adversary tracking, campaign analysis, and CTI workflows to help train and evaluate AI systems that need to understand how cyber threats actually work. Your knowledge of what separates genuine attacker behavior from noise is exactly what frontier AI needs.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 </li>
 <li>
 Location: Fully Remote
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Analyze and classify threat reports, adversary campaigns, and attacker behavior across realistic scenarios
 </li>
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 Evaluate indicators of compromise, TTPs, and end-to-end attack narratives for accuracy and consistency
 </li>
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 Generate, structure, and validate threat intelligence data used to train and benchmark AI systems
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 Review AI-generated cybersecurity outputs and flag inaccuracies, gaps, or fabricated detail
 </li>
 <li>
 Apply frameworks like MITRE ATT&amp;CK to assess the quality and realism of AI reasoning about threats
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 2+ years of hands-on experience in threat intelligence, SOC operations, or security analysis
 </li>
 <li>
 Familiar with MITRE ATT&amp;CK, OSINT collection methodologies, or CTI workflows
 </li>
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 Able to distinguish real attacker behavior from synthetic, noisy, or fabricated data
 </li>
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 Strong analytical and written communication skills &mdash; you can explain complex threat activity clearly
 </li>
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 Self-directed and comfortable working asynchronously on task-based assignments
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience writing threat intelligence reports or briefings
 </li>
 <li>
 Familiarity with threat hunting, malware analysis, or incident response
 </li>
 <li>
 Prior exposure to AI evaluation or data annotation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work directly on frontier AI systems alongside top research labs
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 <li>
 Fully remote and flexible &mdash; choose your own hours and workload
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 <li>
 Freelance autonomy with meaningful, intellectually engaging work
 </li>
 <li>
 Put your security expertise to use in a fast-growing, high-impact field
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Threat Intelligence Analyst

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