computational research associate (postbaccalaureate program) in statistical genetics, singh lab

data engineer ii - quantumblack, ai by mckinsey

data scientist ii, adsp product operations & analytics

computational research associate (postbaccalaureate program) in statistical genetics, singh lab Jobs in New York

data engineer ii

data engineer ii - quantumblack, ai by mckinsey Jobs in New York

data scientist - fraud

data scientist ii, adsp product operations & analytics Jobs in New York

machine learning scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action. 
 
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs. 
 
Key job responsibilities 
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul> 
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul> 
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul> 
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul> 
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul> 
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul> 
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist II, ADSP Product Operations & Analytics

Google DeepMind

<div>
 Snapshot
 
 
 Members of the Affective Computing group contribute broadly across DeepMind efforts including to the Gemini program, frontier agents research, and applied research for Google products. The group emphasizes research in socio-emotional understanding and generation tasks across modalities, and increasingly in multi-agent settings. Research topics include, but are not limited to, better audio-visual representations for understanding emotional expressions, controllability of expressions in generated imagery/video/speech, conversational naturalness, affective rewards for reinforcement learning, human-AI collaboration, and safety mechanisms for harms like emotional manipulation and over-reliance.
 
 
 
 About Us
 
 
 
 Artificial Intelligence could be one of humanity&rsquo;s most useful inventions. At Google DeepMind, we&rsquo;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
 
 
 The role
 
 
 Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
 
 
 In this role, responsibilities will include making key contributions to Gemini workstreams, and pushing the frontier of agentic experiences.
 
 
 Key responsibilities
 
 
 <ul>
 <li>
 Prototyping: Developing new human-AI interaction experiences that waypoint and make tangible a positive future of relational and emotional AIs.
 </li>
 <li>
 Data: Unlocking new multimodal affective capabilities in large models, both pre-training and post-training, focusing on social agents.
 </li>
 <li>
 Models: Improving quality of models for understanding and generation. This may include research on improving tokenizers, training with implicit rewards, and/or general model behavior via fine-tuning.
 </li>
 <li>
 Evals: Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
 
 
 <ul>
 <li>
 PhD in Artificial Intelligence, Machine Learning, or related field. Open also to backgrounds in Psychology (Social, Developmental, Cognitive), but must have strong Computational emphasis.
 </li>
 <li>
 Proven experience working with LLMs. Must have some multimodal experience, even if not a main focus.
 </li>
 <li>
 Proven track record of research and publications in one or more of the following areas: affective computing or sciences, LLM benchmarking, conversational design, audio/video generation.
 
 
 </li>
 </ul>
 In addition, the following would be an advantage:
 
 
 <ul>
 <li>
 Experience of JAX, PyTorch or similar training frameworks
 </li>
 <li>
 Experience in Python and/or C++
 </li>
 <li>
 Experience applying and productionizing state-of-the-art multimodal research
 </li>
 <li>
 Diverse experience collaborating cross-function and with other researchers
 
 
 </li>
 </ul>
 The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
 
 
 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
</div>

Research Scientist, Socioaffective Agents

Child Mind Institute

<div>About Child Mind Institute
We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. 
Position Details:
As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. 
You Will:<ul><li>
Procurement and development of multimodal dataacquisition protocols.</li><li>
Development, application, and refinement of analytic approaches for multimodal data.</li><li>
Prepare manuscripts for publication in peer-reviewed scientific journals.</li><li>
Prepare grant applications directly as principal and co-investigator.</li><li>
Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows).</li><li>
Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure.</li><li>
Formation and maintenance of collaborative relationships with scientific peers.</li><li>
Perform additional job-related responsibilities as assigned</li></ul> 
You Have:<ul><li>
PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable).</li><li>
5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.</li><li>
5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required.</li><li>
5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments.</li><li>
2+ years of supervising experience by mentoring predoctoral trainees</li><li>
Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions.</li><li>
Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers.</li><li>
Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development.</li><li>
An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications.</li></ul> 
 #LI-hybrid. 
Our Benefits<div></div><div> 
Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.</div> 
Pay Range
The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. 
EEO Disclaimer
Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. 
We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. 
In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). 
Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org 
This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.</div>

Research Scientist

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience.
 
</li><li>2 years of experience leading a research agenda.
 
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>2 years of coding experience.
 
</li><li>1 year of experience leading research efforts and influencing other researchers. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Author research papers to share and generate impact of research results across function and in the research community. 
</li>
<li>Help in growing research business by sharing research trends and best practices within the community. 
</li>
<li>Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. 
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. 
</li>
<li>Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Research Scientist, Google Research

Morgan Stanley

<div>
 Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. We are a highly motivated and collaborative team of scientists, technologists, and market practitioners.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on.
 
 
 We are seeking someone capable of independently tackling research problems that have commercial applications. Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems. Please see our research papers for more: https://www.morganstanley.com/about-us/technology/machine-learning-research-team
 
 
 
 What You&rsquo;ll Bring To The Role
 
 
 
 These candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues. We welcome candidates from both industry and academia, and at various levels of seniority, from Ph.D. students nearing graduation to established researchers. Broad experience across multiple fields is a plus.
 
 
 <ul>
 <li>
 Development experience in Python or R (C, C++, Java, etc is a plus)
 </li>
 <li>
 Deep understanding of statistical learning methods
 </li>
 <li>
 Strong communications and organizational skills
 </li>
 <li>
 4+ years of applicable research experience
 </li>
 <li>
 Bachelor's degree required, Ph.D. desired
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values &mdash; putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back &mdash; that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 Expected base pay rates for the role will be between $154,000 and $213,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
 
 
 Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
 
 
 It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
 
 
 Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
 
 
</div>

Machine Learning Researcher

Uber

<div>About the Role
 
 
Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
 
 
We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
 
 
About the Team (We are hiring for multiple teams)
 
 
We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
<ul><li>Fulfillment: Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
</li><li>Consumer: We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
</li><li>Ads: Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
</li><li>Offer: We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
</li><li>Merchant: Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
</li></ul>What You'll Do
<ul><li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
</li><li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
</li><li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
</li><li>Design and analyze experiments, present results that provide actionable recommendations.
</li><li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
</li><li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
</li><li>Owning the product development cycle end-to-end from data and science aspects.
</li></ul>Basic Qualifications
<ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li></ul>Preferred Qualifications
<ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.
</li>Experience within a Delivery or Ecommerce business. 
<li>
</li></ul> 
 
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Scientist, Delivery (Multiple Teams)

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 
 
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 
 
 ***We are open to remote candidates***
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
 </li>
 <li>
 Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
 </li>
 <li>
 Analyze complex datasets to uncover clear, actionable insights that shape product direction.
 </li>
 <li>
 Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
 </li>
 <li>
 Strong proficiency in SQL and Python.
 </li>
 <li>
 Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
 </li>
 <li>
 Skilled in designing, building, and maintaining dashboards and core product performance metrics.
 </li>
 <li>
 Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
 </li>
 <li>
 Excellent communicator with strong stakeholder-management skills across diverse teams.
 </li>
 <li>
 Background in fraud or risk domains &mdash; Nice to have.
 </li>
 <li>
 Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
 </li>
 <li>
 Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
 
 
 </li>
 </ul>
 $162,000 - $222,000 a year
 
 
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - New York City and San Francisco Bay Area
 
 
 Zone 2 - Los Angeles, Seattle, Washington D.C.
 
 
 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
 
 
 Zone 4 - Raleigh-Durham and all other US cities
 
 
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Data Scientist - Fraud

Explore 178+ Machine learning scientist in New York this March. Find roles across top companies and apply now to boost your career.