data scientist

data engineer

software engineer

ai enablement analyst

ai engineer

data engineer ii

CLEAR

<div>CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier&mdash;physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We're looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.

A brief highlight of our tech stack:
<ul>
<li>SQL / Python / Looker / Snowflake / dbt</li>
</ul>
What you'll do:
<ul>
<li>Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner</li>
<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management</li>
<li>Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)</li>
<li>Develop and implement data analytics models</li>
<li>Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems</li>
<li>Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR</li>
</ul>
What you're great at:
<ul>
<li>4+ years of data engineering experience</li>
<li>Working with cloud-based application development, and be fluent in at least a few of:</li>
<li><ul><li>Cloud services providers like AWS</li>
<li>Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc</li>
<li>Big data tools like Spark, Kafka, Snowflake, Databricks, etc</li>
<li>Collaboration, integration, and deployment tools like Github, Argo, and Jenkins</li>
<li>Data visualization tool like Looker, Tableau, etc</li>
</ul></li><li>Articulating technical concepts to a mixed audience of technical and non-technical stakeholders</li>
<li>Collaborating and mentoring less experienced members of the team</li>
<li>Comfort with ambiguity</li>
<li>Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important</li>
</ul>
How You'll be Rewarded:

At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning &amp; development with stipends and reimbursement programs.

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000-$180,000 depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR's salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR's total compensation package for employees and other rewards may include annual bonuses, commission, and Restricted Stock Units.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite</div>

Data Engineer II

American Express

<div>
 
 Job Description
 
 
 
 Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
 
 
 The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
 
 
 Enterprise Platforms is a company-wide center of excellence responsible for the product management and engineering of four critical platforms that underpin American Express&rsquo; essential customer segments, value propositions, and business lines: Enterprise Money Movement, U.S. Deposits, Global Accounts Receivable, and Global Loyalty &amp; Benefits. Technology Business Management is American Express' Technology operations including investment management processes, strategy, vendor management, global workforce and talent strategy, and Transforming Ways of Working program.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Engineer II facilitates seamless data integration and model maintenance, enhances data pipelines and database designs, supports production environments, ensures compliance with enterprise standards, and fosters collaboration while implementing basic partitioning and indexing solutions for Big Data management.
 </li>
 <li>
 Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs
 </li>
 <li>
 Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements
 </li>
 <li>
 Hands on experience in Python programming (a must), and other programming languages like Java, C++
 </li>
 <li>
 Robust knowledge of RDBMS technologies like Oracle/SQL server and NoSQL cloud solutions in GCP, AWS and able to develop Python scripts from scratch, with little to no hand-holding or reference materials
 </li>
 <li>
 Collaborates in design reviews and testing, and provides production environment support with guidance from peers and leaders
 </li>
 <li>
 Operates data assets according to enterprise standards, guidelines, and policies
 </li>
 <li>
 Completes work reviews and fosters a collaborative learning environment with guidance from peers and leaders
 </li>
 <li>
 Communicates and collaborates with business and product teams to facilitate changes and implementation
 </li>
 <li>
 Completes Big Data requirements by implementing basic partitioning and indexing solutions
 </li>
 <li>
 Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
 </li>
 <li>
 Knowledge of Big Data / NoSQL design and development with variety of data stores (document, column family, graph, etc.)
 </li>
 <li>
 Knowledge of database management system products and ecosystem &ndash; e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.
 </li>
 <li>
 Knowledge of distributed (multi-tiered) systems, algorithms, and relational &amp; non-relational database
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Data engineering and development experience or a related job
 </li>
 <li>
 Experience in SQL and Python (or any other programming language like Java) is a must
 </li>
 <li>
 Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Spanner, IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA) as appropriate
 </li>
 <li>
 Experience in NoSQL databases (e.g., MongoDB, Couchbase, Cassandra, and Redis)
 </li>
 <li>
 Experience in data modeling tools (e.g., ErStudio, ErWin)
 </li>
 <li>
 Experience in performance tuning in the Big Data space
 </li>
 <li>
 Experience in distributed (multi-tiered) systems, algorithms, and application development
 </li>
 <li>
 Experience in database development and support of online transaction processing and/or online analytical processing systems
 </li>
 <li>
 Experience in software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development, Waterfall, etc.)
 </li>
 <li>
 Experience in infrastructure design for performance (e.g., network-attached or local-attached storage integration - such as Nutanix)
 </li>
 <li>
 Non-considerations for sponsorship: Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
 
 
 </li>
 </ul>
 
 Licenses And Certifications
 
 
 
 <ul>
 <li>
 Any Python or Cloud architect/developer-based certification is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
 
 
 As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
 
 
 
 About The Team
 
 
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
 
 <ul>
 <li>
 Competitive base salaries
 </li>
 <li>
 Bonus incentives
 </li>
 <li>
 6% Company Match on retirement savings plan
 </li>
 <li>
 Free financial coaching and financial well-being support
 </li>
 <li>
 Comprehensive medical, dental, vision, life insurance, and disability benefits
 </li>
 <li>
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
 </li>
 <li>
 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
 </li>
 <li>
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
 </li>
 <li>
 Free and confidential counseling support through our Healthy Minds program
 </li>
 <li>
 Career development and training opportunities
 
 
 </li>
 </ul>
 For a full list of Team Amex benefits, visit out Colleague Benefits Site .
 
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
 
 
 We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
 
 
 US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
 
 
 The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
</div>

DS Technologies Inc

<div><div><div>About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.</div>
<div></div>
<div>DS Technologies Inc is looking for Engineer II &ndash; Big Data / ETL Engineer (Apptio) role for one of our premier clients. 
</div><div>Job Title: Engineer II &ndash; Big Data / ETL Engineer (Apptio) 
Location: New York, NY (NYC Metro Area only)(Hybrid) 
Position Type: Contract 
Only W2 
 
Job Summary: 
We are looking for a highly skilled Big Data / ETL Engineer who can work as a standalone developer and write production-ready code from scratch. The ideal candidate has strong expertise in Python, SQL, ETL development, and data warehousing, with hands-on experience building scalable data pipelines in enterprise environments. 
 
Key Responsibilities:
</div><ul><li>Design, develop, and maintain ETL pipelines using Python from scratch</li>
<li>Write efficient, reusable, and scalable code following OOP principles</li>
<li>Develop and optimize complex SQL queries, stored procedures, and database objects</li>
<li>Perform data modeling including schemas and entity relationships</li>
<li>Build and manage Airflow DAGs</li>
<li>Ingest, cleanse, govern, and report data from Big Data platforms</li>
<li>Work with multiple SQL dialects (SQL Server, Oracle, DB2, PostgreSQL)</li>
<li>Collaborate with stakeholders while operating independently</li>
</ul><div>Required Skills &amp; Qualifications:</div>
<ul><li>Strong Python (ETL pipeline development from scratch)</li>
<li>Expert SQL and RDBMS concepts</li>
<li>MS SQL Server (SSIS, SSRS)</li>
<li>Oracle PL/SQL</li>
<li>Solid understanding of OOP principles</li>
<li>Apptio experience</li>
<li>Airflow (DAG development)</li>
<li>Experience with Data Warehousing &amp; Big Data</li>
<li>Node.js, JSON, and NoSQL databases</li>
<li>Ability to work as an independent contributor</li>
<li>Must be local to NYC metro area</li>
</ul><div>Nice to Have:</div>
<ul><li>PySpark / Apache Spark</li>
<li>Databricks Delta Lakehouse or BigQuery</li>
<li>Exposure to cloud-based business tools and platforms</li>
</ul>
</div>Flexible work from home options available.</div>

Engineer II – Big Data / ETL Engineer (Apptio)

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

JPMorganChase

<div>JOB DESCRIPTION 
You&rsquo;re ready to gain the skills and experience needed to grow within your role and advance your career &mdash; and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorgan Chase within the Commercial &amp; Investment Bank, Digital &amp; Platform Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm&rsquo;s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities:<ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
Formal training or certification on software engineering concepts and 2+ years applied experience
</li><li>4+ years' experience in React (including hooks, state management, and component architecture) and Python</li><li>
Strong proficiency in HTML, CSS, JavaScript, and modern ReactJS patterns with UI/UX design principles.</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability
</li><li>Proficient in automation testing with experience in React Testing Library, Jest, and Python testing frameworks (pytest, unittest)</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with React and Python as primary languages, plus database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle
</li><li>Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)</li></ul>
Preferred qualifications, capabilities, and skills:<ul><li>
Experience with React ecosystem tools (Redux, Context API, Next.js) and Python libraries (NumPy, Pandas, FastAPI)
</li><li>Exposure to cloud technologies, including contributing to SRE and DevOps activities in an AWS environment</li><li>
Experience working with agentic computing tools and AI/ML system integrations</li><li>
Familiarity with FastAPI and/or prior experience with Django or Flask frameworks</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Software Engineer II - Fullstack - Python/React

Oscar Health

<div>
 Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
 
 
 Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.
 
 
 
 About The Role
 
 
 
 Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.
 
 
 As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you&rsquo;ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
 
 
 This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
 
 
 You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.
 
 
 
 Work Location:
 
 This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.
 
 
 
 Pay Transparency:
 
 The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
 </li>
 <li>
 Own projects end-to-end, including problem definition, implementation, validation, and iteration
 </li>
 <li>
 Deliver high-quality analytical and modeling outputs with limited manager oversight
 </li>
 <li>
 Collaborate closely with data science peers and cross-functional partners across business units
 </li>
 <li>
 Help ensure data science processes and outputs align with broader team strategies and roadmaps
 </li>
 <li>
 Provide guidance or informal mentorship to junior data scientists or analysts when needed
 </li>
 <li>
 Contribute to improving data science practices, tooling, and documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
 </li>
 <li>
 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
 </li>
 <li>
 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a quantitative or technical field
 </li>
 <li>
 Knowledge of or previous work experience in health care or health insurance
 </li>
 <li>
 Experience mentoring or supporting junior team members
 </li>
 <li>
 Experience deploying or supporting models in production environments
 
 
 </li>
 </ul>
 This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
 
 
 At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
 
 
 
 Pay Transparency:
 
 Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
 
 
 
 Artificial Intelligence (AI):
 
 Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
 
 
 
 Reasonable Accommodation:
 
 Oscar applicants are considered solely based on their qualifications, without regard to applicant&rsquo;s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
 
 
 
 California Residents:
 
 For information about our collection, use, and disclosure of applicants&rsquo; personal information as well as applicants&rsquo; rights over their personal information, please see our Privacy Policy.
 
 
</div>

Data Scientist II

NavitasPartners

<div><h3 class="jobSectionHeader">Job Title: Senior Data Engineer</h3>

Location: New York, NY 10020

<h3 class="jobSectionHeader">Position Summary</h3>

We are seeking a highly experienced Senior Data Engineer to support the design, development, and optimization of large-scale data platforms within a financial services environment. This role focuses on building robust data pipelines, enabling advanced credit risk analytics, and ensuring compliance with regulatory standards.

The ideal candidate will bring deep expertise in credit and counterparty risk, modern data engineering technologies, and cloud-based data platforms, while collaborating closely with cross-functional teams including risk, quant, and compliance stakeholders.

<h3 class="jobSectionHeader">Key Responsibilities</h3>
<h4 class="jobSectionHeader">Data Architecture &amp; Engineering</h4>
<ul><li>Lead architecture and technical design discussions for credit risk data platforms</li>
<li>Design and implement scalable batch and streaming data pipelines using PySpark</li>
<li>Build ingestion frameworks for structured and unstructured data from upstream systems into cloud storage (e.g., S3/ADLS)</li>
<li>Implement data processing workflows using Medallion Architecture (Bronze, Silver, Gold layers)</li>
</ul><h4 class="jobSectionHeader">Data Processing &amp; Optimization</h4>
<ul><li>Develop and optimize transformation logic for large-scale financial datasets</li>
<li>Ensure high data quality, auditability, and regulatory compliance</li>
<li>Apply optimization techniques such as partitioning, indexing, and schema evolution</li>
<li>Model and optimize risk metrics (e.g., PD, LGD, EAD, EPE, PFE, CVA) for analytics and reporting</li>
</ul><h4 class="jobSectionHeader">Platform Integration &amp; Operations</h4>
<ul><li>Integrate with external risk engines and support orchestration of complex batch processes</li>
<li>Ensure platform reliability, observability, and data lineage tracking</li>
<li>Implement and maintain security standards (IAM, encryption, authentication protocols)</li>
<li>Troubleshoot production issues and provide ongoing support</li>
</ul><h4 class="jobSectionHeader">Collaboration &amp; Documentation</h4>
<ul><li>Collaborate with data scientists, risk analysts, and business stakeholders</li>
<li>Contribute to API design and data contracts for internal and external consumers</li>
<li>Maintain comprehensive technical documentation for audit and compliance purposes</li>
<li>Participate in Agile development processes and ceremonies</li>
</ul><h3 class="jobSectionHeader">Required Qualifications</h3>
<ul><li>12+ years of experience in data engineering or data development</li>
<li>Strong experience within financial services, particularly credit or counterparty risk</li>
<li>Expertise in regulatory frameworks such as Basel III/IV, IFRS 9, CECL, or FRTB</li>
<li>Advanced proficiency in Python and PySpark / Apache Spark</li>
<li>Hands-on experience with cloud platforms and data lake technologies (e.g., Databricks, Delta Lake)</li>
<li>Strong SQL skills including complex queries, joins, and performance optimization</li>
<li>Experience building data pipelines from multiple financial data sources</li>
<li>Familiarity with workflow orchestration tools (e.g., Airflow or similar)</li>
<li>Experience with CI/CD tools such as Git, Jenkins, or Azure DevOps</li>
<li>Cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with large-scale financial risk systems and analytics platforms</li>
<li>Background in designing data architectures and maintaining data dictionaries</li>
<li>Experience working in Agile environments using tools such as JIRA or Confluence</li>
<li>Exposure to modern data governance and compliance practices</li>
</ul><h3 class="jobSectionHeader">Skills &amp; Competencies</h3>
<ul><li>Strong analytical and problem-solving abilities</li>
<li>Excellent communication skills with both technical and non-technical stakeholders</li>
<li>Ability to work collaboratively with cross-functional teams</li>
<li>High attention to detail and commitment to data quality</li>
<li>Proactive, self-driven mindset with continuous learning approach</li>
</ul><h3 class="jobSectionHeader">Work Environment</h3>
<ul><li>Fast-paced, data-driven financial services environment</li>
<li>High level of collaboration with global teams</li>
<li>Focus on regulatory compliance, data governance, and innovation</li>
</ul>
For more details reach at resumes@navitassols.com.</div>

Senior Data Engineer - SDE 26-04140

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