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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

<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

Tapestry 360 Health

<div><p>The <b>Part-Time Data Analyst</b> supports Tapestry 360 Health&rsquo;s mission by transforming healthcare data into meaningful insights that drive decision-making and improve outcomes. This role will assist in developing datasets, dashboards, and analytical tools that guide leadership, quality improvement, and operational performance across the organization.</p><p>
This position is ideal for someone who enjoys turning data into actionable stories and is motivated by the opportunity to make a measurable impact on community health.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Develop, maintain, and enhance <b>datasets, dashboards, and reports</b> for leadership and internal/external stakeholders.</li><li>
Build and maintain <b>Power BI dashboards</b> that communicate clear and actionable insights.</li><li>
Manage and troubleshoot <b>SQL queries, data pipelines, and reporting libraries</b> to ensure accuracy and reliability.</li><li>
Collaborate with cross-functional teams to ensure data quality and consistency across systems.</li><li>
Partner with Quality, Operations, and Finance teams to translate data into insights that inform clinical and organizational priorities.</li><li>
Support integration between <b>Electronic Health Records (EHR)</b> and external data systems to improve analytics capabilities.</li><li>
Assist in developing <b>data governance and reporting standards</b> that support transparency and organizational learning.</li><li>
Respond to ad hoc data analysis requests and support special reporting projects as assigned.</li></ul><p><b>
Qualifications:</b></p><p><b>
Education &amp; Experience</b></p><ul><li>
Bachelor&rsquo;s degree in <b>Data Analytics, Public Health, Information Systems, Business, or related field</b>; equivalent experience considered.</li><li>
2+ years of experience in <b>data analytics, business intelligence, or healthcare data reporting</b>, preferably within an FQHC or healthcare environment.</li><li>
Demonstrated proficiency with <b>Microsoft Power BI, SQL, and Excel</b>. Experience with <b>Snowflake, Tableau, or similar platforms</b> is a plus.</li></ul><p><b>
Skills &amp; Competencies</b></p><ul><li>
Strong analytical, organizational, and problem-solving skills.</li><li>
Understanding of <b>healthcare data standards</b> (e.g., UDS, ICD-10, CPT, LOINC) and familiarity with <b>EHR systems</b>.</li><li>
Ability to present complex data in clear, user-friendly ways for diverse audiences.</li><li>
Excellent communication and interpersonal skills, with the ability to collaborate across teams.</li><li>
High attention to detail and a genuine interest in leveraging data to improve health outcomes.</li></ul><p><b>
Additional Requirements</b></p><ul><li>
Valid driver&rsquo;s license and reliable transportation for travel between Tapestry 360 Health locations.</li><li>
Ability to lift up to 25 pounds occasionally.</li><li>
Willingness to work occasional evenings or weekends during system upgrades or rollouts.</li></ul><p><b>
Salary and Benefits:</b></p><ul><li><b>
Hourly Rate:</b> $30&ndash;$45 per hour (commensurate with experience and qualifications)</li><li><b>
Schedule:</b> Approximately 20 hours per week; flexible hybrid schedule available</li></ul><p></p><p><br>
Tapestry 360 Health is committed to equitable and transparent pay practices. In accordance with the Illinois Pay Transparency Act, we are disclosing the full salary range for this position. This range represents the potential compensation for the role based on experience, tenure, and performance over time.</p><p>
Most new employees can expect an initial offer within the lower portion of the range, reflecting factors such as prior experience, internal equity, and organizational budget. Salary progression is evaluated regularly to support professional growth and retention.</p></div>

Data Analyst

<div><p><b>JLL empowers you to shape a brighter way</b>.</p><p></p><p>
Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you&rsquo;ve got deep experience in commercial real estate, skilled trades or technology, or you&rsquo;re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.</p><p></p><p><b>
Pay:</b> $65,000 - $90,000 / year</p><p><b>
Schedule: </b>M &ndash; F; 9a &ndash; 5:30p</p><p><b>
Location: </b>Remote</p><p></p><p><b>
What this job involves:</b> The Data Visualization &amp; Operations Analyst serves as the central reporting and analytics resource supporting both REF and Soft Admin within the TikTok Americas portfolio. This position enhances the existing data reporting framework by automating dashboards, validating data accuracy, and developing meaningful visual insights that drive compliance, preventive maintenance, and operational excellence. Working primarily within Lark Base, Corrigo, Azara, and Excel/Larksheet, you will transform raw data into actionable intelligence&mdash;empowering leadership with visibility into SLA performance, preventive maintenance compliance, and predictive operational trends. This role offers a unique opportunity to impact operations across both hard and soft services while developing cutting-edge analytics capabilities that directly contribute to JLL's operational excellence and client success.</p><p></p><p><b>
What your day-to-day will look like:</b></p><ul><li>
Design, build, and maintain interactive dashboards in Lark Base to track KPI, CPI, and SLA performance for both REF and Admin departments</li><li>
Extract, clean, and organize data from Corrigo, client ticketing systems, and Azara to develop unified operational views and automated reporting templates</li><li>
Validate Corrigo data weekly to ensure all preventive and reactive work orders are tracked and closed within SLA requirements</li><li>
Consolidate data from janitorial, pest control, event, and landscaping vendors to create comprehensive Admin-side performance dashboards</li><li>
Conduct monthly data integrity audits across multiple platforms to ensure consistency, accuracy, and compliance with client requirements</li><li>
Prepare executive summaries with visualized key findings and recommendations to support MBR, QBR submissions, and strategic decision-making</li><li>
Collaborate with Regional Engineering Program Managers, FMs, and client partners to provide data-driven insights that guide proactive maintenance and operational improvements</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
2+ years of work experience in data analytics</li><li>
Advanced proficiency in Excel and Larksheet including formulas, pivot tables, conditional logic, and macros</li><li>
Experience building dashboards in Lark Base, Azara, or similar data visualization platforms</li><li>
Familiarity with CMMS systems (Corrigo preferred) and client-side ticketing systems</li><li>
Strong understanding of KPI/SLA management, compliance tracking, and predictive maintenance analytics</li><li>
Analytical mindset with exceptional attention to data accuracy and presentation quality</li><li>
Excellent communication and visualization skills with ability to translate complex data into compelling narratives for executive audiences</li><li>
Demonstrated problem-solving abilities and capacity to manage competing priorities across multiple departments</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience in facility management or real estate operations environment</li><li>
Knowledge of preventive maintenance strategies and CAPEX forecasting methodologies</li><li>
Background in business intelligence tools or advanced analytics platforms</li><li>
Understanding of vendor management and performance tracking systems</li><li>
Experience with automated reporting and dashboard refresh processes</li><li>
Familiarity with TikTok or similar technology client operational requirements</li><li>
Project management experience supporting cross-functional teams and initiatives</li><li>
Bachelor's degree in a quantitative field such as Business, Statistics, Mathematics, Analytics, Econometrics or Data Science and Information Management</li></ul><p></p><p><b>
Estimated compensation for this position:</b></p><p></p>
66,000.00 &ndash; 74,000.00 USD per year<p></p><p><i>
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.</i></p><p></p><p><b>
Location:</b></p><p></p>
Remote &ndash;Chicago, IL<p></p><p>
If this job description resonates with you, we encourage you to apply, even if you don&rsquo;t meet all the requirements. We&rsquo;re interested in getting to know you and what you bring to the table!</p><p><b><br>
Personalized benefits that support personal well-being and growth:</b></p><p></p><p>
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:</p><ul><li><p>
401(k) plan with matching company contributions</p></li><li><p>
Comprehensive Medical, Dental &amp; Vision Care</p></li><li><p>
Paid parental leave at 100% of salary</p></li><li><p>
Paid Time Off and Company Holidays</p></li><li><p>
Early access to earned wages through Daily Pay</p></li></ul><p></p><p><b><i>
JLL Privacy Notice</i></b></p><p>
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL&rsquo;s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.</p><p></p><p>
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.</p><p></p><p>
For additional details please see our career site pages for each country.</p><p></p><p>
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.</p><p></p><p>
Jones Lang LaSalle (&ldquo;JLL&rdquo;) is an Equal Opportunity Employer and 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 &ndash; including the online application and/or overall selection process &ndash; you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page &gt; I want to work for JLL.</p><p></p><p>
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.</p><p></p><p>
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.</p><p></p><p>
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.</p><p></p><p><b>
California Residents only</b></p><p>
If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.</p><p></p><p>
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance.</p><p></p><p>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p><p></p><p>
Accepting applications on an ongoing basis until candidate identified.</p></div>

AHOLD Delhaize

<div><b>Category/Area of Expertise:</b> IT &amp; Technology<br>
<b>Job Requisition:</b> 464673<br>
<b>Address: </b>USA-IL-Chicago-300 South Riverside Plaza
<br>
<b>Store Code: </b>Arch/Data - Business Intell &amp; Analy (5119291)
<br>
<br>
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.<br>
<br>
<b>Primary Purpose:</b><br>
<br>
The <b>Senior Platform Engineering Manager</b> will play a critical role in developing, implementing &amp; delivering enhancements to core data platforms and supporting the data &amp; analytics ecosystems, applications and tools. The Sr Platform Engineering Manager will work closely with Platform Owners, Business Channel leaders, SMEs, Technology, Operations, Client Services, Legal, Compliance, Risk, Architecture and external suppliers/vendors. Day-to-day responsibilities include maintaining subject matter expertise for data platform functionality geared around enhancing user experience, user adoption, or supporting platform issues identified by client service/support organizations.
<br>
<br>
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA.<br>
<br>
Applicants must be currently authorized to work in the United States on a full-time basis.<br>
<br>
<b>Duties &amp; Responsibilities:</b><br>
<ul><li>
Help define strategic vision for key functionalities within ADUSA data platforms.
</li><li>Become a subject matter expert in the data platform current and future architecture guidance &quot;Data Lakehouse&quot; that helps support our customers in a data domain centric ecosystem.
</li><li>Help improve our platforms standards, guidelines and recipes by working closely with both architecture, engineers and Platform Owner.
</li><li>Partner closely with architecture on design, test, and deliver critical functionality to support strategic enterprise goals to enhance user experience, support line of business adoption, and meet internal/external mandates.
</li><li>Leverage executive presence skills to influence senior business stakeholders and program leadership on roadmap prioritization decisions.
</li><li>Provides oversight and holds team members accountable for following all compliance, Change Management and IT Security policies.
</li><li>Lead a team of lean DevOps engineers in an agile environment to deliver cutting edge PaaS, IaaS and IaC solutions that help enable our customer base.
</li><li>Lead an operation team of platform support engineers that provide 24/7 support to all our data platforms as apart of keeping the lights on for business use.
</li></ul><br>
<b>Qualifications:</b><br>
<ul><li>
Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience).</li><li>
8 or more years of equivalent experience in relevant job or field of technology.
</li><li>5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.</li><li>
5 or more years experience directly responsible for leading and managing an agile engineering team.</li></ul><br>
<b>
Preferred Qualifications:</b><br>
<ul><li>
Post graduate degree advanced training and/or certifications in relevant field/s of study preferred.</li><li>
5 or more years experience in Databricks, Azure, MongoDB and Power BI.</li><li>
5 or more years experience in leading teams or advancing technical capability in teams.
</li><li>5 or more year's experience in DevOps, automation, CI/CD, Terraform, Powershell and or YAML.
</li><li>5 to 10 years in GitHub and Data Dog.</li></ul><br>
#DICEJobs #LI-hybrid #LI-SS1<br>
<br>
Salary Range:$151,200 - $226,800
<br>
<br>
<b>Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
</b><br>
<br>
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.<br>
<br>
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.<br>
<br>
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.<br>
<br>
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Sr Manager, Data Platforms

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