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data scientist - fraud

data scientist, aws professional services Jobs in New York

data scientist, aws professional services

data scientist

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.
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 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.
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 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.
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 ***We are open to remote candidates***
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 <strong>
  Responsibilities
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  <li>
   Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
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   Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
  </li>
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   Analyze complex datasets to uncover clear, actionable insights that shape product direction.
  </li>
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   Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
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  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
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 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 $162,000 - $222,000 a year
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 <br/>
 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.
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 <strong>
  Our Geographic Zones Are As Follows
  <br/>
  <br/>
 </strong>
 Zone 1 - New York City and San Francisco Bay Area
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 Zone 2 - Los Angeles, Seattle, Washington D.C.
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 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
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 Zone 4 - Raleigh-Durham and all other US cities
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 <br/>
 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.
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 <br/>
 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!
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 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] .
 <br/>
 <br/>
 Please review our Candidate Privacy Notice here .
</div>


Data Scientist - Fraud

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? Would you be excited to apply AI algorithms to solve real world problems with significant impact? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities.
<br>
<br>
This is a team of scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine-tune the right models, define paths to navigate technical or business challenges, develop scalable solutions and applications, and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost efficiently.
<br>
<br>
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
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<br>
We&rsquo;re looking for Data Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
<br>
<br>
Key job responsibilities<br>
As an experienced Senior Data Scientist, you will be responsible for:
<br>
1. Lead end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring<br>
2. Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges<br>
3. Interact with customers directly to understand the business challenges, deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production<br>
4. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders<br>
5. Provide customer and market feedback to product and engineering teams to help define product direction<br>
This is a customer-facing role with potential travel to customer sites as needed.<br>
<br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of guiding and coaching a group of researchers experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><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><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Data Scientist, AWS Professional Services

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact.</p>
<div>
You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME&rsquo;s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies.</div>
<div>
You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health.</div>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3>
<ul><li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.</li>
<li>Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.</li>
<li>End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle&mdash;from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.</li>
<li>Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.</li>
<li>Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.</li>
<li>Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.</li>
<li>Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3>
<ul><li>8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).</li>
<li>Proven track record of shipping high-quality data products, models, or features at scale.</li>
<li>Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.</li>
<li>Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.</li>
<li>Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.</li>
<li>Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.</li>
<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3>
<ul><li>Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant).</li>
<li>Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems.</li>
<li>Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).</li>
<li>Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling.</li>
<li>Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery).</li>
</ul><div><div><div><div><i>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</i></div></div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div>
$228,800&mdash;$286,000 USD</div></div></div><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Staff Forward Deployed Data Scientist/Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.<br>
<br>
As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience or publications related to Agentic AI applications</li><li>Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, AGI

Morgan Stanley

<div><p>Morgan Stanley Services Group, Inc. seeks a Director, Lead Data &amp; Analytics Engineer in New York, New York
</p><p></p><p>Maintain and support services and capabilities of the firm&rsquo;s internal search infrastructure. Onboard and index new data sources, clean existing index, improve relevancy algorithms, and apply AIML models to search application. Create data pipelines and ETL processes to facilitate onboarding client data into firm databases. Upgrade software system capabilities to best serve the business needs of end users. Incorporate industry best practices to improve performance and productivity of the firm&rsquo;s internal search infrastructure. Develop a monitoring mechanism for search infrastructure. Streamline and improve product delivery metrics. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues related to discovery, relevancy and data mining.
</p><p></p><p>Salary :
</p><p>Expected base pay rates for the role will be between $160,000 and $165,000 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.
</p><p></p><p>Requirements:
</p><p></p><p>Requires a Master's degree in Computer Science, Computer Engineering, or a related field plus three (3) years of experience in the position offered or three (3) years of experience as an AI/ML Engineer, Data Scientist, or related occupation. Two (2) years of experience with: Java.
<br>
<br>
One (1) year of experience with: vended or open-source search engines; Javascript; and Python.
<br>
<br>
Any amount of experience with: building and training machine learning models; deploying machine learning models in production; AI chatbot development; Semantic search; Lucidworks Fusion connector configurations; indexing strategies for structured and unstructured data; faceted search; typeahead; relevance boosting; DevOPs; KPI&rsquo;s; Agile practices; Enterprise Git; GitHub; Jenkins; continuous integration tools, including Artifactory ro, SonarQube, selenium, and Jmeter; load testing; troubleshooting and production support; Docker; Kubernetes; and Azure.
</p><p></p><p>Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR025360 in the search field. No calls please. EOE
</p><p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. 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. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
</p><p></p><p>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.
</p><p></p><p>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.
</p><p></p><p>Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</p></div><p></p>

Director, Lead Data & Analytics Engineer

Norm AI

<div><p><b>About Norm Ai</b></p><p>
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.</p><p></p><p>
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.</p><p></p><p>
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).</p><p></p><p>
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.</p><p></p><p>
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.</p><p></p><p><b>
About Norm Law</b></p><p>
Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership. Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice.</p><p></p><p>
Norm Law and Norm Ai, together, are building Legal AGI.</p><p></p><p><b>
This Role</b></p><p>
As a Founding AI Engineer, you will work side-by-side with partners and associates. You&rsquo;ll build fast prototypes, test them directly in live workflows, and push successful systems into our platform. The role blends full stack engineering, AI, and data science. It requires fluency in production codebases, speed in iteration, and depth in applying LLMs to solve real problems.</p><p></p><p>
This is a hands-on role at the intersection of AI, reasoning, and high-stakes decision-making. You&rsquo;ll work embedded with domain experts (e.g., lawyers, analysts, compliance officers) to observe workflows, identify inefficiencies, and prototype AI systems that transform how expert reasoning is performed.</p><p></p><p><b>
Skills &amp; Experience</b></p><ul><li><p>
4+ years of experience as a software engineer, ML engineer, or data scientist</p></li><li><p>
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis</p></li><li><p>
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives</p></li><li><p>
Experience in AI/ML infrastructure and tooling</p></li><li><p>
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field</p></li><li><p>
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Skills &amp; Experience - Pluses</b></h3><ul><li><p>
Previously built one off analytical systems in trading, research, or other data-heavy fields.</p></li><li><p>
Interest in working directly with non-technical experts to translate their logic into code.</p></li><li><p>
Familiarity with and an eagerness to apply the latest AI research</p></li><li><p>
Experience applying traditional ML systems and processes in the context of state-of-the-art LLMs</p></li><li><p>
Experience deriving insights from PDFs and other unstructured or semi-structured data types</p></li><li><p>
Experience with context engineering and memory in the context of AI agents</p></li><li><p>
Experience modeling uncertainty in ML systems</p></li></ul><p></p><p><b>
Comp &amp; Benefits</b></p><p><i>
$220,000-$285,000 base + employee equity (level dependent)</i></p><p></p><p>
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans.</p><p></p><p>
We embrace a flexible hybrid model, typically in-office 4-5 days per week. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.</p><p></p><p><i>
If you&rsquo;re interested in the role but aren&rsquo;t sure whether you&rsquo;re a good fit, we&rsquo;d still like to hear from you.</i></p><p>
To learn more about Norm Ai, visit our <b>website</b>.</p></div>

Founding AI Engineer - Norm Law

Moody's

<div><p>At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.</p><p>
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.</p><p><b>
Skills &amp; Competencies
</b></p><ul><li>Strong understanding of data science principles and applications, including statistical modeling, predictive analytics, ML and NLP, data mining, and optimization techniques</li><li>
Proficiency in programming languages such as Python, R, SAS, or SQL; familiarity with tools and platforms like AWS, Elasticsearch, GitHub, or Docker is a plus</li><li>
Hands-on experience with research and analysis, demonstrated through internships or academic projects involving large, complex datasets and a variety of analytical tools</li><li>
Awareness of existing and emerging technologies, including a foundational understanding of generative AI and its applications, with a willingness to explore how these tools can drive innovation and improve software solutions</li><li>
Demonstrated leadership potential, learning agility, and adaptability, with the ability to take initiative and contribute effectively in evolving technical and team environments<br>
Understanding of finance and capital markets is a plus, with the ability to contextualize technical work within broader business and industry objectives</li><li>
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use</li></ul><p><b>
Education
</b></p><ul><li>Graduating with a minimum of a Masters or PhD degree in Data Science, Business Analytics, Operations Research, Applied Statistics, Mathematics, Engineering or Computer Science (with a focus on machine learning or AI), or a related quantitative discipline
</li><li>Anticipated graduation date of June 2026 or prior</li><li>
Achieved exceptional academic performance</li></ul><p><b>
Responsibilities</b><br>
Rotational assignments vary in terms of the technology skills required, and may use any or all of the following technologies: Analytical Tools and Solutions, Emerging Technologies, Environmental, Social, and Governance (ESG) &amp; Climate Risk, Business Intelligence, Enterprise Applications Systems, Machine Learning, Artificial Intelligence, NLP, Data Science, and Data Engineering.<br>
At Moody&rsquo;s we are committed to integrating generative AI within each of our teams, which you will gain experience in during your time in the rotation program. Typical responsibilities for participants in the program may include, but are certainly not limited to, examples in the list below:</p><ul><li>
Conduct theoretical and empirical research on measurements of credit risk and other risks including climate change and other emerging threats on portfolio credit risk</li><li>
Create an agentic system by harnessing the power of GenAI and LLMs to uncover valuable insights from various data sources by leveraging tools such as AWS, Databricks, Jenkins, and Github</li><li>
Develop intuitive Streamlit and Power BI applications that translate complex analyses into actionable, executive-ready narratives</li><li>
Collaborate with cross-functional teams to create GenAI-powered automation tools that enhance the capabilities of customer service teams, enabling them to respond to inquiries more efficiently and effectively</li><li>
Model financial line items for companies, work on credit scoring models, feature extraction &amp; ML pipeline development, and utilize macro-economic tracking tools</li></ul><p><b>
About the Program</b><br>
Embark on an exciting journey in your early career by joining the Moody&rsquo;s Technology Rotation Program &ndash; Data Science! This dynamic program is your gateway to launching your career in data science, offering recent graduates the chance to join our teams who are at the forefront of transforming data using the most advanced technologies to create impactful solutions for our clients. You&rsquo;ll not only enhance your technical skills but also cultivate in-depth domain knowledge while developing new techniques to help solve real-world problems, all while forging invaluable connections with a community of your peers.</p><p>
Over the course of the 2-year program, you&rsquo;ll participate in two year-long rotation assignments across various Moody&rsquo;s Business Units (BUs), gaining a variety of experiences that will shape you into a future technology leader at the firm. You will have a vital role in modeling, visualizing, and interpreting critical data to help us continue to use data and technology to transform our industry. You will have the opportunity to work with accomplished individuals who share advanced degrees, certifications and professional designations in fields such as data science, machine learning, AI, predictive analytics, mathematics, economics, and more. Based in our headquarters in New York or out of our San Francisco office, this hybrid program encourages collaboration and innovation, requiring participants to join our community in the office 2 days per week.</p><p>
As you navigate through the program, you&rsquo;ll be empowered to develop in your professional career by engaging in monthly workshops, participating in ongoing training and through receiving ongoing feedback from your rotation team &ndash; all with the support of a dedicated program manager. Starting together as a cohort, you&rsquo;ll build friendships and a strong support network from day one, setting the stage for an incredible career ahead.</p><p>
For US-based roles only: the anticipated hiring base salary range for this position is $130,000-$140,000, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role may be eligible for a completion bonus. Moody&rsquo;s also offers insurance and a discounted employee stock purchase plan for limited duration employees.</p><p>
Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody&rsquo;s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.</p><p>
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.</p><p>
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.</p><p><br>
<br>
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.<br>
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet<br>
<br>
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee&rsquo;s tenure with Moody&rsquo;s.</p></div>

Moody's Technology Rotation Program - Data Science

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