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data scientist, product analytics Jobs in New York

data scientist, product analytics

data analytics analyst

Roc Nation

<div>
 
 Job Summary
 
 
 
 Title: Data Analyst
 
 
 Reports to: Sr. Director, Data Science &amp; Analytics
 
 
 Location: New York, NY (On-Site, 5 days a week in office)
 
 
 
 The Role
 
 
 
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 
 
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
 </li>
 <li>
 Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
 </li>
 <li>
 Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
 </li>
 <li>
 Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
 </li>
 <li>
 Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
 </li>
 <li>
 Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
 </li>
 <li>
 A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
 </li>
 <li>
 Ability to clearly articulate insights to a non-technical audience
 </li>
 <li>
 Comfortable partnering with engineering to define business requirements for dataset and metric development
 </li>
 <li>
 Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
 </li>
 <li>
 Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
 
 
 </li>
 </ul>
 Bonus Points For
 
 
 <ul>
 <li>
 Experience with python, dbt, and analytics engineering concepts
 </li>
 <li>
 Direct music industry experience
 
 
 </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 
 
 
 Benefits &amp; Perks
 
 
 
 
 HEALTH
 
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 
 
 
 YOURSELF
 
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 
 
 
 CAREER
 
 : Career and skill development programs with School of Live
 
 
 
 WEALTH
 
 : 401(k) program with company match
 
 
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 
 
 
 The Expected Compensation For This Position Is
 
 
 
 $68,000.00 USD - $85,000.00 USD
 
 
 <ul>
 <li>
 Pay is based on a number of factors including market location, qualifications, skills, and experience.
 
 
 </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</div>

Data Analyst

Honeycomb Insurance

<div>
 
 Honeycomb
 
 
 
 At Honeycomb, we're not just building technology, we&rsquo;re reshaping the future of insurance.
 
 
 In 2025, Honeycomb was recognized by Dun &amp; Bradstreet as &ldquo;Top 10 Best Start Up Companies to Work For&rdquo; in Israel and named by LinkedIn as &ldquo;Top 10 Startups in Chicago&rdquo;.
 
 
 How did we earn these honors?
 
 
 Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&amp;D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.
 
 
 With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage.
 
 
 If you&rsquo;re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you&rsquo;ve been looking for.
 
 
 
 About Us
 
 
 
 Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to underwrite and manage risk.
 
 
 
 About The Role
 
 
 
 We are looking for a Financial &amp; Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our financial models, carrier reporting, billing systems, and management reporting is clean, reliable, and engineered for growth.
 
 
 If you enjoy owning data pipelines end-to-end, solving messy data problems, and enabling business teams to move beyond spreadsheets, this is an opportunity to make a major impact.
 
 
 
 Location: Chicago or New York
 
 
 
 Reporting to: Chief Financial Officer
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Data Engineering &amp; Pipeline Development
 
 
 
 <ul>
 <li>
 Partner with finance and operations teams to understand their data needs and translate them into reliable data models.
 </li>
 <li>
 Partner with Engineering to validate, QA, and reconcile data from policy admin systems, billing systems, and operational databases.
 </li>
 <li>
 Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or similar tools).
 </li>
 <li>
 Develop data models that make financial and operational data reliable, accessible, and well-structured.
 
 
 </li>
 </ul>
 
 Fronting Carrier &amp; Regulatory Reporting
 
 
 
 <ul>
 <li>
 Own the data preparation for monthly reports to insurance partners.
 </li>
 <li>
 Ensure data completeness, accuracy, and alignment across sources (policy, claims, billing, accounting).
 
 
 </li>
 </ul>
 
 Billing System Data Preparation &amp; Cleansing
 
 
 
 <ul>
 <li>
 Support a billing system migration/implementation by cleaning, reconciling, and validating large datasets.
 </li>
 <li>
 Work closely with Engineering and Finance to align data with billing schemas and business rules.
 
 
 </li>
 </ul>
 
 Analytics Support for FP&amp;A and Accounting
 
 
 
 <ul>
 <li>
 Create data assets enabling self-service dashboards and analytical tools.
 </li>
 <li>
 Monitor the data and ensure strong data integrity.
 </li>
 <li>
 Investigate data anomalies and help Finance understand operational drivers behind performance metrics.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of experience as a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
 </li>
 <li>
 Strong SQL and Python skills and experience working with relational databases.
 </li>
 <li>
 Experience with a cloud data warehouse &mdash; BigQuery preferred
 </li>
 <li>
 Experience building ETL/ELT pipelines (e.g., dbt, Airflow, Fivetran, custom pipelines).
 </li>
 <li>
 Comfort working with messy data, performing cleansing, reconciliation, and QA.
 </li>
 <li>
 Analytical mindset with strong attention to detail
 </li>
 <li>
 Ability to communicate findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in insurance, fintech, or financial services.
 </li>
 <li>
 Experience supporting data-driven processes in Finance, FP&amp;A, Accounting, or similar business functions.
 </li>
 <li>
 Familiarity with financial systems such as ERPs or billing systems.
 </li>
 <li>
 Experience with BI tools like Looker, Power BI and Tableau.
 </li>
 <li>
 Experience leveraging AI to generate SQL and Python scripts.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You&rsquo;re a builder who enjoys creating structure in ambiguity.
 </li>
 <li>
 You&rsquo;re the type who spots data issues before anyone else does &mdash; then digs until you find the root cause.
 </li>
 <li>
 You love empowering non-technical teams with accurate, reliable data.
 </li>
 <li>
 You thrive in cross-functional work between Finance, Accounting, and Engineering.
 </li>
 <li>
 This role is open to candidates based in New York or Chicago, IL
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary: $120,000-$170,000
 </li>
 <li>
 ISO stock options
 </li>
 <li>
 Medical, dental, and vision coverage for you and your dependents
 </li>
 <li>
 HSA with company contributions
 </li>
 <li>
 401(k) (non-matching)
 </li>
 <li>
 Flexible time off
 </li>
 <li>
 10 company-paid holidays
 </li>
 <li>
 Paid family leave
 </li>
 </ul>
</div>

Heron Data

<div><h2 class="jobSectionHeader">The Opportunity</h2>
Heron builds the intelligence layer for financial operations &mdash; using AI and LLMs to automate document-heavy workflows for lenders, banks, and fintechs. Our technology turns messy, unstructured data (like PDFs, bank statements and much more) into clean, reliable insights that power billions in credit decisions.
As a Data Operations Analyst, you&rsquo;ll sit at the intersection of AI, data, and human judgment. You&rsquo;ll help ensure our systems perform at world-class accuracy, improve the feedback loops between humans and models, and build the operational foundations that allow our technology to scale.
You won&rsquo;t just process data &mdash; you&rsquo;ll help train, test, and improve the product that does.
This is a hands-on, high-impact role. You&rsquo;ll work closely with product managers, engineers, and data scientists to diagnose real-world edge cases, prototype automation ideas, and make our workflows smarter and faster.
Please note: this role starts as a 6-week contracting position, with intent to hire to a full-time employee.
<h2 class="jobSectionHeader">What You&rsquo;ll Do</h2><h3 class="jobSectionHeader">
1. Operational Intelligence</h3><ul><li>
Review and validate financial data to ensure accuracy and integrity for core AI-powered workflows.</li><li>
Diagnose complex parsing failures and uncover root causes to improve model performance.</li><li>
Help design feedback loops between Data Ops and Engineering that drive faster product iteration.</li></ul><h3 class="jobSectionHeader">
2. Product &amp; Tooling Improvement</h3><ul><li>
Partner with Product and Engineering to refine our internal Retool-based review systems.</li><li>
Test new features, prototype automation, and document improvements that reduce review time.</li><li>
Act as a first-line QA for new product launches and parsers (e.g., broker, insurance, or lending data).</li></ul><h3 class="jobSectionHeader">
3. Process Automation &amp; Efficiency</h3><ul><li>
Identify recurring manual steps and propose or build small automations to eliminate them.</li><li>
Support in designing metrics dashboards that measure SLAs, accuracy, and operational throughput.</li></ul><h3 class="jobSectionHeader">
4. Customer Impact</h3><ul><li>
Support customer success by ensuring reviewed data meets accuracy and turnaround SLAs.</li><li>
Collaborate with GTM and Product teams to surface insights from operational data that improve user experience.</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Analytical &amp; Curious: You&rsquo;re good at breaking down ambiguous problems and spotting patterns in data.</li><li>
Tech-Savvy: Comfortable with digital tools, automation, or low-code platforms (Retool experience a plus).</li><li>
Fast Learner: You pick up new systems quickly and enjoy figuring things out without needing detailed instructions.</li><li>
Detail-Oriented but Strategic: You care about accuracy but also about how to fix systems that break.</li><li>
Bias to Action: You don&rsquo;t just point out problems &mdash; you propose and test solutions.</li></ul>
Educational background: Finance, Economics, Engineering, Data Analytics, or similar (but we value mindset over degree).<h2 class="jobSectionHeader">
Why This Role Matters</h2><ul><li>
You&rsquo;ll directly influence the reliability and scalability of Heron&rsquo;s AI platform.</li><li>
You&rsquo;ll help teach our systems to interpret data better, faster, and more accurately.</li><li>
You&rsquo;ll act as an internal bridge between product development and customer delivery &mdash; translating what&rsquo;s happening on the ground into insights that shape product roadmap and model design.</li><li>
You&rsquo;ll gain exposure to real-world AI deployment in financial services, learning what it takes to scale automation safely.</li></ul><h2 class="jobSectionHeader">
Growth Pathways</h2>
We hire with a long-term view. Outstanding contractors and interns often convert to full-time roles, with potential growth in:<ul><li>
Product Operations or Product Management &ndash; drive feedback loops and system improvement.</li><li>
Data &amp; Quality Analytics &ndash; specialize in data accuracy, metrics, and operational insights.</li><li>
Customer Operations &amp; Strategy &ndash; focus on partner delivery, success, and scaling workflows.</li><li>
Operational Leadership &ndash; lead teams improving speed, accuracy, and automation adoption.</li></ul><h2 class="jobSectionHeader">
Why You&rsquo;ll Love Working Here</h2><ul><li>
You&rsquo;ll work on real problems, not hypothetical cases &mdash; helping make AI systems more reliable.</li><li>
You&rsquo;ll collaborate with a small, fast-moving team that values autonomy and learning.</li><li>
You&rsquo;ll see your ideas and improvements shipped into production, impacting real customers.</li><li>
You&rsquo;ll get exposure to multiple disciplines &mdash; fintech, AI, data engineering, and product design.</li></ul>
If you&rsquo;re curious, analytical, and excited to bridge the gap between technology and operations, this role is for you.</div>

Data Operations Analyst

<div>At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We&rsquo;re seeking a future team member for the role of Data Management Analyst to join our Infrastructure platform team. This role is located in NY/NJ.

In this role, you&rsquo;ll make an impact in the following ways:
<ul>
<li>Support Infrastructure platform Data Leader by conducting end-to-end onboarding for in-scope applications following regulatory and AI-enabled data initiatives, ensuring timely intake, prioritization, and data governance alignment.</li>
<li>Manage Authoritative Data Source (ADS) onboarding, defining AI-ready data quality requirements, control points, and operating routines in partnership with Data Owners, Application Managers, and Data Stewards.</li>
<li>Inventory and define in-scope datasets by capturing dataset definitions, business terms for the enterprise data glossary, Critical Data Elements, lineage/ownership metadata, and data quality rules; link assets in Collibra to enable ADS certifications and trusted reuse for analytics and AI.</li>
<li>Partner with Application Data Owners and Data Solution Services platform teams for physical data elements and source-to-target logic, enabling governed Data Lake hydration and downstream data consumption.</li>
<li>Drive data quality issue triage and remediation by analyzing rule failures, assist Data Stewards with root-cause investigation, validating fixes, and improving preventative controls to reduce recurring defects.</li>
<li>Build and maintain KPI dashboards and management reporting for data management programs (e.g., onboarding progress, ADS coverage, data quality control execution, certification status), enabling transparent delivery tracking and decision-making.</li>
<li>Update and modify the Infrastructure Platform MyCDO site by publishing data governance assessments requirements and results, remediation plans, ADS statistics, forums and training content, and curated standards that reinforce plarform Data Management and responsible AI data practices.</li>
</ul>
To be successful in this role, we&rsquo;re seeking the following:
<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field. - Professional certifications in relevant technologies or infrastructure management are preferred. **EXPERIENCE:** Typically 6-10 years of experience. **SKILLS:** - Expertise in infrastructure operations and production services management. - Strong analytical and problem-solving capabilities. - Excellent communication and leadership skills.</li>
<li>Hands-on experience using AI-assisted analytics tools (e.g., copilots/agents) and strong proficiency in data querying and analysis (SQL, dashboards, and data profiling).</li>
<li>Experience with data governance and metadata management tools (Collibra preferred), including glossary/term management, dataset certification, and data quality rule documentation.</li></ul> 
 
At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here&rsquo;s a few of our recent awards:
<ul>
<li>America&rsquo;s Most Innovative Companies, Fortune, 2025</li>
<li>World&rsquo;s Most Admired Companies, Fortune 2025</li>
<li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li></ul> 
 
Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. 
 
 
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $69,000 and $160,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. 
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</div>

Data Management Analyst

Digitas North America

<div>
 
 Company Description
 
 
 
 Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign&rsquo;s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world&rsquo;s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
 
 
 The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
 
 
 
 Overview
 
 
 
 
 Analyst, Data and Analysis
 
 
 
 The Data &amp; Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
 
 
 To help with this, we&rsquo;re looking for an outstanding Analyst &ndash; someone who has a knack for understanding data and telling the story of why it matters. You&rsquo;ll learn from the best in the business as you work with the team to bring actionable insights to our clients. Up for it? Read on.
 
 
 As an Analyst, you&rsquo;ll lay the groundwork and contribute to day-to-day reporting needs for client marketing efforts. You&rsquo;ll work on brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.
 
 
 
 Day-to-day, Your Role Includes
 
 
 
 <ul>
 <li>
 Keeping a pulse on day-to-day performance data, including display media, site, search, email, and/or social campaigns
 </li>
 <li>
 Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
 </li>
 <li>
 Identifying nuances in data to optimize our clients&rsquo; business
 </li>
 <li>
 Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
 </li>
 <li>
 Expanding industry knowledge and relevant skillsets through internal training
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 We&rsquo;re looking for strong, impactful work experience, which typically includes:
 
 
 
 <ul>
 <li>
 1-3 years of work experience in a relevant industry
 </li>
 <li>
 A four-year college degree
 </li>
 <li>
 Passion for digital marketing, eagerness to learn in a constantly-changing space, and a natural curiosity
 </li>
 <li>
 Familiarity with Excel and/or other data analysis tools such as SQL or Tableau a plus
 </li>
 <li>
 Comfortable in a fast-paced and deadline-driven environment
 </li>
 <li>
 Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL&middot;E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.
 
 
 </li>
 </ul>
 Got the sparkle? Apply if you believe your unique skills are a fit. We&rsquo;d love to hear from you!
 
 
 2026-146472
 
 
 
 Additional Information
 
 
 
 Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.
 
 
 If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
 
 
 Compensation Range: $55,765 - $85,878 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/1/2026.
</div>

Analyst, Data and Analysis

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

HNTB Corporation

<div>What We're Looking For
At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
This opportunity entails being responsible for designing and implementing data science solutions that address business challenges. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques. The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. This role builds on foundational skills and introduces broader responsibilities in technical execution, problem-solving, and team collaboration.
What You'll Do:
<ul><li>Analyzes large datasets to identify trends, patterns, and actionable insights.</li>
<li>Builds and validates predictive models using statistical and machine learning techniques.</li>
<li>Collaborates with stakeholders to define problem statements and data requirements.</li>
<li>Develops and maintains data pipelines and model deployment workflows.</li>
<li>Conducts A/B testing and evaluates model performance.</li>
<li>Mentors junior team members and contributes to knowledge sharing.</li>
<li>Presents findings to technical and non-technical audiences.</li>
<li>Performs other duties as assigned.</li>
</ul>What You'll Need:
<ul><li>Bachelor&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or</li>
<li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 1 years of relevant experience, or</li>
<li>In lieu of education, 6 years of relevant experience</li>
</ul>What You'll Bring:
<ul><li>Experience applying data science to infrastructure/transportation use casessuch asasset analytics, deterioration modeling, resilience, or risk assessment.</li>
<li>Experience with statistical modeling, regression, and travelbehaviorand survey data.</li>
<li>ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results throughArcGIS,Power BI, Tableau, or similar tools.</li>
<li>Demonstrated experience with machine learning algorithms and applied model development (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.).</li>
<li>Strong stakeholder communication skills and comfort translating analytical results into actionable guidance.</li>
</ul>What We Prefer:
<ul><li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems</li>
</ul>Additional Information
Click here for benefits information: HNTB Total Rewards
Click here to learn more about Equal Opportunity Employer/Disability/Veteran
Visa sponsorship is not available for this position.
\#RN
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Locations:
Atlanta, GA, Chicago, IL, Cleveland, OH, Minneapolis, MN, New York, NY
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The approximate pay range for New York is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Ohio is $74,417.85 - $111,626.77. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Minnesota is $78,138.74 - $117,208.11. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate pay range for Illinois is $81,859.63 - $122,789.44. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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The approximate nation wide pay range for this position is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
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NOTICE TO THIRD-PARTY AGENCIES:
HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.
Job Type: Regular
Full/Part Time: Full time
Job Category: Technical Group
ReqID: R-29829</div>

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