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senior data scientist

PayPal

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: What you need to know about the role: The Global Fraud Prevention team is looking for a Data Scientist to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus. You will lead the design and execution of safer experiences for our users and will work on the complex task of keeping fraudsters away from PayPal Credit products. If you&rsquo;re looking to make an impact at the red-hot intersection of ePayments, lending and online risk management, you&rsquo;re at the right place. Meet our team: This role is part of the Fraud Prevention team for Global Merchant Lending products that is responsible for preventing &amp; mitigating fraud risk for merchant lending products. This is an exciting, fast paced organization where the contribution by team members can significantly impact PayPal&rsquo;s bottom line as well as our customers&rsquo; experience. We are looking for a Data Scientist to join the team and help in our efforts to mitigate fraud risk globally.</p>
<p>Job Description:
</p><p><b>Essential Responsibilities:
</b></p><ul><li>Lead the development and implementation of advanced data science models.</li><li>
Collaborate with stakeholders to understand requirements.</li><li>
Drive best practices in data science.</li><li>
Ensure data quality and integrity in all processes.</li><li>
Mentor and guide junior data scientists.</li><li>
Stay updated with the latest trends in data science.</li></ul><p></p><p><b>
Expected Qualifications:</b></p><ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><p></p>
<p>Additional_Responsibilities_And_Preferred_Qualifications:
</p><p><b>Your way to impact:</b></p><ul><li>
You will own &amp; execute fraud prevention strategies for our global merchant lending products</li><li>
You will utilize large, complex datasets to make data-driven decisions and answer business questions</li></ul><p></p><p><b>
In your day-to-day role, you will:</b></p><ul><li>
Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products</li><li>
Identify opportunities and gaps within current portfolio of PayPal&rsquo;s Fraud Risk controls, including continuously evolving fraud trends</li><li>
Formulate &amp; propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure</li><li>
Effectively communicate complex findings and strategy recommendations to both technical and non-technical audience</li><li>
Monitor performance of existing &amp; new solutions and optimize to ensure desired results</li><li>
Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal &amp; Compliance and other teams to formulate and execute fraud risk solutions</li></ul><p><b>
What you need to bring:</b>
</p><ul><li>Bachelor&rsquo;s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline</li><li>
3+ years proven credit or fraud risk analytics experience or equivalent</li><li>
Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis</li><li>
Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis</li><li>
Aptitude and willingness to roll-up the sleeves and get involved in the details</li><li>
Must have good business judgment with demonstrated ability to think creatively and strategically</li><li>
Ability to work with leadership &amp; stakeholders to define project scope and direction, driving large pieces of the work independently</li><li>
Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones</li><li>
Proficient in Python, R, SQL</li><li>
Proficient in Excel, Powerpoint &amp; Word</li></ul><p></p>
PayPal is committed to fair and equitable compensation practices.
<br>
<br>
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.<br>
<br>
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.<br>
<br>
The U.S. national annual pay range for this role is $123,500 to $212,850<p></p>
<p>
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

Sr Data Scientist

Options Clearing Corporation

<div><div>*****THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****</div><div></div><div><div>
Summary</div><div></div><div>
This role is responsible for expanding OCC&rsquo;s analytics capabilities by developing business-focused data engineering solutions and enterprise data models for our most important data assets. In this role, you will lead the design build of our internal analytics cloud data lake&rsquo;s semantic layer and the maintenance of the supporting ETL processes, with an emphasis on transformation and serving curated data that accelerates the ability of teams across the organization in successfully harnessing these data. You will collaborate with business users and technical teams across the organization to facilitate data-driven decision making by enabling exploration and analysis of historical and near real-time data access using cloud-based tools and technologies. Lastly, you will be responsible for gathering requirements and designing solutions that address the problem at hand, anticipating the yet-to-be-asked questions, and align to the company&rsquo;s security and IT standards.</div><div></div><div>
Responsibilities</div><ul><li>
To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.<br>
<ul><li></li></ul>
Partner with relevant business and technology teams to design and implement new cloud-based semantic layer to accelerate and simplify the analytics development of downstream users that develop quantitative analytics, internal risk apps, and BI dashboards.<br>
<ul><li></li></ul>
Lead business and technology SMEs to develop OCC&rsquo;s business domain model, which will empower communication and reasoning across the firm about the meaning of our core, proprietary data assets and how they generate and relate to each other.<br>
<ul><li></li></ul>
Drive the build, test, and deployment patterns of the semantic layer&rsquo;s virtual and physical data models that simplify complex semi-structured data, eliminate multiple definitions of similar data, create query-friendly datasets, and standardize column naming<br>
<ul><li></li></ul>
Establish and maintain trust in the semantic layer by shaping our DataOps practices of observability, monitoring, and automation of quality checks and ETL pipeline health for proactive system failure detection and incident response, before our users find out.<br>
<ul><li></li></ul>
Maintain user query performance requirements of our semantic layer by optimizing storage and SQL object materialization patterns<br>
<ul><li></li></ul>
Collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet Data Governance needs<br>
<ul><li></li></ul>
Work with upstream data producers to understand how their systems generate data, and how they are subject to change over time to help anticipate and manage schema drift from semantic layer<br>
Business Sensitive<br>
<ul><li></li></ul>
Curate and maintain the company&rsquo;s business domain model documentation<br>
<ul><li></li></ul>
Create documentation to ensure data lineage is traceable and semantic layer components are easily discoverable and useful to business users from the data governance tools.<br>
<ul><li></li></ul>
Invest in your continued learning of on modern data engineering, cloud computing, options trading industry, and financial risk management, with an eye towards improving maintainability, reliability, and utility of our analytics infrastructure</li></ul><div></div><div>
Supervisory Responsibilities</div><div>
None</div><div></div><div>
Are the essential duties of this job required to be performed in an OCC office location? No</div><div></div><div>
Qualifications &amp; Experience</div><ul><li>
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.<br>
<ul><li></li></ul>
[Required] Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams - Data Platform Team, Systems &amp; Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.<br>
<ul><li></li></ul>
[Required] Past experiences building data products, data warehouses, databases, and other analytics systems depended on by other employees or customers<br>
<ul><li></li></ul>
[Required] Ability to communicate technical concepts to audiences and ask pressing questions of people with varying levels of technical background, and synthesize non-technical requests into a technical specification<br>
<ul><li></li></ul>
[Required] High attention to detail, tradeoffs, and an ability to think structurally about a solution<br>
<ul><li></li></ul>
[Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences<br>
<ul><li></li></ul>
[Required] Experience working within an agile environment<br>
<ul><li></li></ul>
[Preferred] Subject matter experience working in the financial trading industry or a similar domain</li></ul><div></div><div>
Technical Skills &amp; Background</div><div>
Demonstrated proficiency in:</div><div></div><div>
[Required] Experience implementing and maintaining cloud-based data warehouses or data lakes and maintaining a semantic layer that meets the needs of business users</div><ul><li>[Preferred] Familiarity with data modeling design concepts such as 3rd-normal form versus denormalized data modeling concepts like star-schema or data vault</li><li>[Required] Ability to write and optimize complex analytical (SELECT) SQL queries and DDL queries, with an understanding of SQL optimization strategies</li><li>[Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences</li><li>[Required] Ability to write and manage python projects for custom data pipeline code (virtual environments, functional programming vs. OOP, unit testing)</li><li>[Required] Experience with a source code version control repository system, branch management patterns, pull requests, with a tool such as git and Github</li><li>[Required] Experience working with a linux shell and with container technology, such as docker or podman for portable code distribution and execution</li><li>[Preferred] Experience with transformation or semantic layer frameworks, such as dbt or Cube</li><li>[Preferred] Experience with batch orchestration tools such as Apache Airflow</li><li>[Preferred] Experience with data lake architectures, their open technology components and purpose in modern cloud data stacks for analytics, such as Apache Parquet, Apache Iceberg, and distributed or columnar optimized query engines, such as Trino or duckdb.</li><li>[Preferred] Experience with PAM platforms, such as CyberArk or Hashi Vault</li><li>[Preferred] Experience integrating code with CI/CD tools, like Jenkins, JFrog Artifactory</li><li>[Preferred] Understanding of applied statistics and hands-on experience applying these concepts</li><li>[Preferred] Experience with visualization/reporting tools, such as Tableau or Power BI</li><li>[Preferred] Experience with self-service ETL tools, such as AWS Glue or Alteryx</li></ul><div></div><div>
Education &amp; OR Experience</div><ul><li>
[Required] Bachelor's degree in quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience<br>
<ul><li></li></ul>
[Preferred] Master's degree<br>
<ul><li></li></ul>
[Required] 10+ years of experience as a data engineer, data modeler, or data scientist<br>
<ul><li></li></ul>
[Preferred] Work experience in the global financial derivatives trading industry</li></ul></div><div></div><div>
Certificates or Licenses:</div><div></div><div>
[Preferred] Cloud platform certification<br>
<br>
[Preferred] Data Engineering skills certification</div><div></div><div>
About Us</div><div>
The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.</div><div></div><div>
Benefits</div><div>
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:</div><ul><li>
A hybrid work environment, up to 2 days per week of remote work</li><li>
Tuition Reimbursement to support your continued education</li><li>
Student Loan Repayment Assistance</li><li>
Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely</li><li>
Generous PTO and Parental leave</li><li>
401k Employer Match</li><li>
Competitive health benefits including medical, dental and vision</li></ul><div></div><div>
Visit <div>https://www.theocc.com/careers/thriving-together</div> for more information.</div><div></div><div>
Compensation</div><ul><li>
The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.</li><li>
In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.</li><li>
We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on <div>www.theocc.com/careers</div></li><li>
All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.</li></ul><div></div><div>
Salary Range</div>
$156,600.00 - $263,200.00<div></div><div>
Incentive Range</div>
23% to 30%<div></div><div>
This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.</div><div></div><div>
Step 1<br>
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.</div><div></div><div>
Step 2<br>
You will receive an email notification to confirm that we've received your application.</div><div></div><div>
Step 3<br>
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.</div><div></div><div>
For more information about <div>OCC</div>, please click <div>here</div>.</div><div></div><div>
OCC is an Equal Opportunity Employer</div></div>

Principal, Data Analytics Engineering

The Hartford

<div>Sr Staff Data Engineer - GE07DE<p></p><p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.</p><p></p><p><br>
The Enterprise Data Services Department&rsquo;s Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs&mdash;including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science.</p><p></p><p>
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.</p><p></p><p>
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.</p><p></p><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.</p></li><li><p>
Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.</p></li><li><p>
Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.</p></li><li><p>
Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems.</p></li><li><p>
Curate and publish Data Products to support analytics, visualization, and machine learning use cases.</p></li><li><p>
Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.</p></li><li><p>
Apply best practices for data modeling, governance, and security across all solutions.</p></li><li><p>
Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.</p></li><li><p>
Monitor and fine-tune data pipelines for performance, scalability, and reliability.</p></li><li><p>
Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.</p></li><li><p>
Develop self-healing pipelines with robust re-startability mechanisms for resilience.</p></li><li><p>
Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.</p></li><li><p>
Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.</p></li><li><p>
Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.</p></li><li><p>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.</p></li><li><p>
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.</p></li><li><p>
Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.</p></li></ul><p></p><p><b>
Required Skills &amp; Experience</b>:</p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.</p></li><li><p>
5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry.</p></li><li><p>
3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</p></li><li><p>
Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).</p></li><li><p>
Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).</p></li><li><p>
3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.</p></li><li><p>
Strong technical knowledge (AI solution leveraging Cloud and modern solutions)</p></li><li><p>
3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.</p></li><li><p>
2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.</p></li><li><p>
Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.</p></li><li><p>
Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.</p></li></ul><p></p><p><b>
Nice to Have</b></p><ul><li><p>
Certifications in AWS Data &amp; Analytics Services, Snowflake, and Informatica IDMC.</p></li><li><p>
Experience in building and integrating AI agents into data workflows.</p></li><li><p>
Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office.</p></li></ul><p></p><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p><p></p>
$135,040 - $202,560<p></p><p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p><p></p><p>
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</p></div><p></p>

Senior Staff AI Data Engineer (Tech Lead)

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.</p>
<p>Job Description:
</p><p><b>Essential Responsibilities:
</b></p><ul><li>Develop and optimize machine learning models for various applications.</li><li>
Preprocess and analyze large datasets to extract meaningful insights.</li><li>
Deploy ML solutions into production environments using appropriate tools and frameworks.</li><li>
Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>
Monitor and evaluate the performance of deployed models.</li></ul><p></p><p><b>
Expected Qualifications:</b></p><ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li><li>
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>
Several years of experience in designing, implementing, and deploying machine learning models.</li></ul><p></p>
PayPal is committed to fair and equitable compensation practices.
<br>
<br>
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.<br>
<br>
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.<br>
<br>
The U.S. national annual pay range for this role is $137,500 to $236,500<p></p>
<p>
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

Sr Machine Learning Engineer

BMO US

320 S Canal Street Chicago Illinois,60606
<br>
<div><p><b>About the Team</b></p><p>
BMO&rsquo;s Applied AI team sets the standard for safe, high-performing AI systems across the bank, building BMO&rsquo;s leading-edge AI products and capabilities. Our work enables BMO&rsquo;s strategic outcomes, bridging business needs with scalable and responsible AI. If you thrive on technical challenges and want to make a strategic impact, this role is for you.</p><div></div><p><b>
About the Role</b></p><p>
As an Engineering &amp; Data Science Specialist in Applied AI Evaluations, you will design, implement, and optimize evaluation frameworks and pipelines that measure the quality, safety, and performance of advanced AI systems at BMO. You&rsquo;ll work closely with the Product Owner and collaborate with engineering, research, and business teams to translate evaluation standards into robust, scalable solutions.</p><p>
Your work will directly impact model development, deployment, and continuous improvement cycles&mdash;ensuring that evaluation signals are deeply integrated into experimental and production systems. You&rsquo;ll contribute to the development of reusable tools, agents, and harnesses that support responsible AI practices and regulatory compliance.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li>
Develop, implement, and maintain evaluation pipelines and harnesses for AI models, ensuring reliability, reproducibility, and scalability for banking applications.</li><li>
Collaborate with the Product Owner to translate evaluation standards and business requirements into technical solutions.</li><li>
Prototype and validate evaluation methods using real banking workflows, integrating feedback into model training and deployment.</li><li>
Integrate evaluation metrics and signals into research, training, and production systems to drive measurable improvements in model performance and customer outcomes.</li><li>
Partner with engineering, research, and product teams to shape model interaction paradigms and deployment strategies.</li><li>
Build reusable tools and systems that enable contributions from across BMO and raise the quality bar for AI solutions.</li><li>
Ensure all evaluation frameworks adhere to regulatory, compliance, and Responsible AI requirements.</li><li>
Document processes, share knowledge, and contribute to a culture of continuous learning and responsible innovation.</li></ul><div></div><p><b>
Qualifications</b></p><ul><li>
3+ years of experience in engineering or data science roles, preferably in AI, machine learning, or data-driven product environments.</li><li>
Strong programming skills (e.g., Python, Java, or similar) and experience with ML/AI frameworks (e.g., PyTorch, TensorFlow).</li><li>
Experience building and maintaining evaluation pipelines for large language models (LLMs) and/or other AI systems, including multi-agent workflows, tool use, or long-context scenarios.</li><li>
Solid understanding of deep learning concepts, model training, and deployment practices.</li><li>
Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure is a plus.</li><li>
Strong analytical and problem-solving skills, with the ability to communicate technical concepts to both technical and non-technical audiences.</li><li>
Motivated by high-impact collaboration and able to thrive in fast-paced, ambiguous environments.</li><li>
Commitment to BMO&rsquo;s values of inclusion, integrity, and responsible innovation.</li></ul>
<p><b>Salary:</b></p><p>
$122,400.00 - $228,000.00</p><p><b>
Pay Type:</b></p><p>
Salaried</p><p>
The above represents BMO Financial Group&rsquo;s pay range and type.</p><p>
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.</p><p>
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards</p>
<p><b>About Us</b></p><p>
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.</p><p>
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.</p><p>
To find out more visit us at https://jobs.bmo.com/us/en
</p><p>BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.</p><p>
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.</p><p>
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</p></div>

Engineering & Data Science Specialist, Applied AI Evaluations

EPM Scientific

<div>
 <p>
  <strong>
   R&amp;D Scientist
  </strong>
 </p>
 <p>
  Are you passionate about science and organization? We're looking for a
  <strong>
   hands-on scientist
  </strong>
  who can also
  <strong>
   drive project coordination
  </strong>
  across R&amp;D and analytical initiatives. This role blends technical expertise with leadership in planning and communication.
  <br/>
  <br/>
 </p>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Track and manage R&amp;D and analytical projects, ensuring timelines and priorities are met.
  </li>
  <li>
   Maintain project dashboards and prepare concise progress updates for leadership.
  </li>
  <li>
   Support formulation experiments, sample prep, and analytical testing (HPLC, dissolution, stability).
  </li>
  <li>
   Collaborate with QA, Regulatory, and Operations to align deliverables.
  </li>
  <li>
   Recommend process improvements and help implement standardized tools.
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor's or Master's in Chemistry, Biochemistry, Pharmaceutical Sciences, or related field.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   3-6 years in pharmaceutical R&amp;D, analytical chemistry, or formulation science.
  </li>
  <li>
   Familiarity with HPLC and method development.
  </li>
  <li>
   Strong organizational and communication skills.
  </li>
  <li>
   Comfortable balancing lab work with coordination responsibilities.
   <br/>
   <br/>
  </li>
 </ul>
 Why Join Us
 <br/>
 <br/>
 <ul>
  <li>
   Competitive salary + comprehensive benefits.
  </li>
  <li>
   Health, dental, vision coverage.
  </li>
  <li>
   Retirement plan with company match.
  </li>
  <li>
   Paid time off and holidays.
  </li>
  <li>
   Collaborative, science-driven environment.
  </li>
 </ul>
</div>


R&D Scientist

S4 Market Data

<div><p>Summary:</p><p><b>
**PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply**</b></p><p>
The Market Data Administrator at S4 Market Data will oversee the administrative functions of client projects and be responsible for supporting the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries from clients as it relates to inventory management, procurement requests and renewals, and supporting the lead analyst with any project/task based related inquiries. The ideal candidate will have market data administrative experience; performing moves/adds/changes in inventory (FITS/MDSL), updating contract/pricing records, and reconciling invoices. Having a financial and/or consulting background for this role is preferred.
</p><p></p><p>Responsibilities:</p><ul><li>
Handle day-to-day administrative inquiries from internal business units and our lead analysts, including but not limited to; entitlement requests, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, and invoices reconciliation.
</li><li>Keep an updated inventory of contracts, services, pricing, users, and vendors. Perform month-end reconciliations and ensure that our data is always accurate and current.
</li><li>Interact with the client&rsquo;s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. Resolve any procurement issues.</li><li>
Provide client and project support for our lead analysts and perform analyses or data related tasks in Excel as requested.</li><li>
Support lead analyst with any internal client SLA reporting for regular team meetings and client deliverable updates.
</li><li>Perform business development and other duties as required by manager(s) and founder(s).
</li></ul><p>Qualifications:
</p><ul><li>Relevant experience in financial services or market data or work experience in consulting is preferred. Knowledge of FITS/MDSL inventory systems is preferred.</li><li>
Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). Intermediate Excel skills are required.
</li><li>Excellent communication and task/time management skills are preferred. Display a high level of time management skills in order to manage multiple and elaborate requests simultaneously.
</li><li>Have a high energy and be a self-starter with the ability to work independently and as part of a team.
</li></ul><p></p><p>wwpYdIGNzr</p></div>

Market Data Administrator

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