afc modelling - data scientist - associate - vice president

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afc modelling - data scientist - associate - vice president Jobs in New York

analyst

data scientist

TickPick

<div>
 <strong>
  Who We Are:
  <br/>
  <br/>
 </strong>
 Same Seats. Better Prices.
 <br/>
 <br/>
 Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.
 <br/>
 <br/>
 For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000's and Crain's New York Business' Fast 50.
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 <br/>
 If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.
 <br/>
 <br/>
 <strong>
  Who You Are:
  <br/>
  <br/>
 </strong>
 We're looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes &mdash; such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas &mdash; and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.
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 <br/>
 You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business &mdash; communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that's making data a priority, this is the role for you. You'll have the opportunity to touch many aspects of the business.
 <br/>
 <br/>
 <strong>
  Core Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes
  </li>
  <li>
   Build, deploy, and maintain machine learning models in production &mdash; operationalizing them in a sustainable, maintainable way
  </li>
  <li>
   Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production
  </li>
  <li>
   Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science
  </li>
  <li>
   3+ years of experience with machine learning models including development, version control, and deployment/serving of models
  </li>
  <li>
   Demonstrated experience operationalizing ML models in production &mdash; either independently or alongside an engineering team
  </li>
  <li>
   Experience working with platforms such as Snowflake and Databricks
  </li>
  <li>
   Proficient in one or more programming languages, such as Python
  </li>
  <li>
   Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.
  </li>
  <li>
   Strong planning, communication, and problem-solving skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strongly Desired Attributes:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A track record of getting stakeholder buy-in and commitment on experiments and initiatives &mdash; communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact
  </li>
  <li>
   Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes
  </li>
  <li>
   Experience working with data modeling software and on teams with data modelers
  </li>
  <li>
   Experience using analytical approaches to problem-solving with large volumes of data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with marketplace businesses and dynamic pricing
  </li>
  <li>
   A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A hybrid in-office approach, enabling remote work a portion of each week
  </li>
  <li>
   Health Care Plan (Medical, Dental &amp; Vision)
  </li>
  <li>
   Retirement Plan Contribution (401k, IRA)
  </li>
  <li>
   Life Insurance (Basic, Voluntary &amp; AD&amp;D)
  </li>
  <li>
   Paid Time Off (Vacation, Sick &amp; Holidays)
  </li>
  <li>
   Family Leave (Maternity, Paternity)
  </li>
  <li>
   Training &amp; Development
  </li>
  <li>
   $100 Monthly Stipend to Attend Live Events
  </li>
  <li>
   Employee Outings
  </li>
  <li>
   Free Lunch &amp; Snacks
   <br/>
   <br/>
  </li>
 </ul>
 The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company's equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.
 <br/>
 <br/>
 Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
 <br/>
 <br/>
 The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.
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 <br/>
 <strong>
  Diversity at TickPick:
  <br/>
  <br/>
 </strong>
 At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization's culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.
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 TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.
</div>


Data Scientist

ALICE + OLIVIA

<div>
 <p>
  Location: New York, NY or Secaucus, NJ (Hybrid)
 </p>
 <p>
  Decision Science Engineer (Applied Data Scientist)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   POSITION SUMMARY:
  </strong>
 </p>
 <p>
  ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
  </li>
  <li>
   Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
  </li>
  <li>
   Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
  </li>
  <li>
   Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
  </li>
  <li>
   Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
  </li>
  <li>
   Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
  </li>
  <li>
   Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
  </li>
  <li>
   Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
  </li>
  <li>
   Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
  </li>
  <li>
   Document methodologies and assumptions to support long-term ownership and institutional knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS:
  </strong>
 </p>
 <ul>
  <li>
   4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
  </li>
  <li>
   Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
  </li>
  <li>
   Proficiency in Python for data analysis, modeling, and production-grade code.
  </li>
  <li>
   Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
  </li>
  <li>
   Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
  </li>
  <li>
   Familiarity with experiment design and causal inference.
  </li>
  <li>
   Experience with time-series forecasting at scale.
  </li>
  <li>
   Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
  </li>
  <li>
   Experience working with messy, real-world data and designing models that support business judgment.
  </li>
  <li>
   Ability to reason about semantic or ontology-based data models.
  </li>
  <li>
   Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
  </li>
  <li>
   Long-term ownership mindset for maintaining and evolving models over time.
  </li>
  <li>
   Hands-on experience building or contributing to Palantir Foundry Workshop applications.
  </li>
  <li>
   Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
  </li>
  <li>
   Exposure to agent-based or AI-assisted analytics workflows.
  </li>
  <li>
   Experience working within a formal data governance or steerco-driven prioritization structure.
  </li>
  <li>
   Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ADDITIONAL INFORMATION:
  </strong>
 </p>
 <p>
  This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 </p>
</div>


Jerry

<div><div><p><b>Why We Exist</b></p>
<p>Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey &mdash; buy/sell, insurance, maintenance, repairs &mdash; is fragmented, complicated, and expensive.</p><br>
<div></div><p>Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace.</p><br>
<div></div><p>We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets.</p><br>
<div></div><p><b>Why We&rsquo;re Hiring</b></p>
<p>Our Data Science &amp; Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data &amp; insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations.</p><br>
<div></div><p>Every business unit has a Data Science team member embedded within it &mdash; someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years.</p><br>
<div></div><p>As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas:</p>
<ul><li><p>Growth Marketing</p>
</li><li><p>Product Development</p>
</li><li><p>AI &amp; Automation</p>
</li><li><p>Strategic Partnerships</p><br>
</li></ul><div></div><p><b>On leveling: </b>You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling.</p><br>
<div></div><p><b>Why You Will (Or Won't) Like Working Here</b></p>
<ul><li><p><b>No slides:</b> If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business &mdash; an important product, a new growth channel, a key metric, a critical partner relationship, etc.</p>
</li><li><p><b>No corporate fluff:</b> The Data Science &amp; Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals.</p>
</li><li><p><b>Hands-on: </b>This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end.</p><br>
</li></ul><div></div><p><b>What You'll Own</b></p>
<p>You'll sit on our central Data Science &amp; Analytics team but you&rsquo;ll be embedded in one of Jerry's core business areas &mdash; growth, product, AI and automation, strategic partnerships &mdash; and own the analytical function for that business unit end-to-end.</p>
<ul><li><p><b>Define the right problems: </b>Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed.</p>
</li><li><p><b>Data and insights: </b>Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.</p>
</li><li><p><b>Drive outcomes: </b>Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.</p><br>
</li></ul><div></div><p><b>Who You Are</b></p>
<ul><li><p><b>First principles thinker: </b>You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask &quot;what are we trying to solve here?&quot; before jumping to &quot;what should I build?&quot;</p>
</li><li><p><b>Direct communicator:</b> You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede.</p>
</li><li><p><b>Owner: </b>You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it&rsquo;s outside of your swim lane.</p><br>
</li></ul><div></div><p><b>What You'll Bring</b></p>
<ul><li><p>2+ years of experience at a consulting firm, investment bank, or high-growth technology company.</p>
</li><li><p>Strong analytical skills; ability to pull, structure, and interpret data independently.</p>
</li><li><p>Track record of owning ambiguous problems and delivering impact.</p>
</li><li><p>Clear, persuasive communicator who can influence decisions at the leadership level.</p><br>
</li></ul><div></div><p><b>Our Tools</b></p>
<p>SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.</p><div><br>
</div><div></div><p><i>While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p>
<p></p><p><i>Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p>
<p></p><p><i>The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p>
<p></p><p><b>About Jerry.ai</b></p>
<p>Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p>
<p></p><p>Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p>
<p></p><p>We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p>
<p></p><p>Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p>
<p></p><p>Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 OpenAI&rsquo;s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company&rsquo;s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
 <br/>
 <br/>
 We Are Hiring Data Scientists To Help Build The Analytical Foundations That Allow OpenAI To Deploy Increasingly Capable AI Responsibly. We Are Hiring Data Scientists Across Several Teams That Contribute To Safety In Different Ways, Including
 <br/>
 <br/>
 <ul>
  <li>
   Safety Systems
  </li>
  <li>
   Integrity
  </li>
  <li>
   Product Policy
   <br/>
   <br/>
  </li>
 </ul>
 This is a high-impact role operating at the intersection of product, safety, policy, and research.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.
 <br/>
 <br/>
 Depending on your background and team alignment, you may work on areas such as:
 <br/>
 <br/>
 <ul>
  <li>
   Measure harmful or abusive behavior across OpenAI&rsquo;s products
  </li>
  <li>
   Detect fraud, manipulation, coordinated misuse
  </li>
  <li>
   Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows
  </li>
  <li>
   Design experiments and causal analyses to understand product, policy, and mitigation impacts
  </li>
  <li>
   Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks
  </li>
  <li>
   Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs
  </li>
  <li>
   Translate ambiguous safety risks into measurable problems and evidence-based recommendations
  </li>
  <li>
   Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes
  </li>
  <li>
   Build zero-to-one analytical systems in rapidly evolving domains
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Candidate
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.
 <br/>
 <br/>
 <strong>
  You May Be a Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong statistical reasoning and analytical judgment
  </li>
  <li>
   Experience with experimentation, causal inference, or observational analysis
  </li>
  <li>
   Strong SQL and Python skills
  </li>
  <li>
   Experience working with messy, incomplete, or noisy datasets
  </li>
  <li>
   Ability to structure open-ended business or risk problems
  </li>
  <li>
   Excellent communication with technical and non-technical stakeholders
  </li>
  <li>
   High ownership and comfort operating independently
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Helpful Backgrounds Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Trust &amp; Safety / Integrity
  </li>
  <li>
   Fraud &amp; abuse
  </li>
  <li>
   Security analytics
  </li>
  <li>
   AI/ML model measurement and evaluation
  </li>
  <li>
   Alignment and AI safety research
  </li>
  <li>
   Biosecurity, synthetic biology, infectious diseases, or computational biology
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on mission-critical problems with world-level impact
  </li>
  <li>
   Help shape how frontier AI systems are deployed safely
  </li>
  <li>
   Operate with unusual ownership and visibility
  </li>
  <li>
   Solve novel problems where there are no existing playbooks
  </li>
  <li>
   Join highly collaborative teams working across OpenAI
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 San Francisco or New York depending on team alignment and business need.
 <br/>
 <br/>
 <strong>
  Compensation Range
 </strong>
 : $230K - $325K USD
 <br/>
 <br/>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
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Data Scientist, Safety

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><div>
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes; extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses. Telecommuting available. Multiple positions.<br>
<br>
Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Operations Research, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in<br>
each of the following:<br>
<ul><li>R, Python, or SQL;</li><li>Visualization tools, including PowerBI or Tableau;</li><li>&ldquo;Big data&rdquo; platforms including Hadoop (Azure, GCP, or AWS) and Spark, Airflow, Kafka, Hbase, Pig, or NoSQL;</li><li>Translating analytical problems into structured programs using PySpark, Scala, PL/SQL or Teradata BTEQ;</li><li>Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP);</li><li>Data analytics on large data sets in healthcare, business, or retail sector;</li><li>Marketing analytics, clinical trials, or health research;</li><li>Containerized services, storage, and workspace management;</li><li>Featuring engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and</li><li>Qualitative analysis techniques, including clustering, repression, and pattern recognition.</li></ul><br>
Pay Range: $111240.00/year to $222480.00/year.</div><p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.<br>
<br>
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.<br>
<br>
<b>Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Sr Data Scientist

Hinge

<div><div><div><b>Hinge is the dating app designed to be deleted</b></div><div></div><div><br>
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we&rsquo;re on a mission to inspire intimate connection to create a less lonely world. We&rsquo;re obsessed with understanding our users&rsquo; behaviors to help them find love, and our success is defined by one simple metric&ndash; setting up great dates. With millions of users across the globe, we&rsquo;ve become the most trusted way to find a relationship, for all.</div><div></div><div><b><br>
About the Role</b></div>
<div></div>
<div>Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives on our Matching team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you as data scientists at Hinge will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other.</div>
</div><div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div><div><ul>
<li>
<p>Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy</p>
</li>
<li><p>Translate product objectives to data science problems and vice versa</p>
</li>
<li><p>Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy</p>
</li>
<li><p>Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems</p>
</li>
<li><p>Collaborate with AI team to develop, iterate, and test production models (e.g., targeting)</p>
</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3><div><div><ul>
<li>
<p>5+ years of experience as data scientist</p>
</li>
<li><p>Experience with A/B testing</p>
</li>
<li><p>Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge)</p>
</li>
<li><p>Strong knowledge of statistics and machine learning</p>
</li>
<li><p>Superb communication skills</p>
</li>
<li><p>Ability to balance rigor with practicality</p>
</li>
<li><p>Deep sense of intellectual curiosity</p>
</li>
<li><p>Excellent collaboration skills and a track record of cross-functional influence</p>
</li>
</ul></div></div></div></div><div><div>$186,000 - $223,000 a year</div><div>
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.</div></div>
<div><div><b>As a member of our team, you&rsquo;ll enjoy:</b></div><div></div><div><b><br>
401(k) Matching:</b> We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.</div><div></div><div><b><br>
Professional Growth: </b>Get an annual Learning &amp; Development stipend once you&rsquo;ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.</div><div></div><div><b><br>
Parental Leave &amp; Planning:</b> When you become a new parent, you&rsquo;re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)</div><div></div><div><b><br>
Fertility Support:</b> You&rsquo;ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.</div><div></div><div><b><br>
Date Stipend:</b> All Hinge employees receive a $100 monthly stipend for epic dates&ndash; Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.</div><div></div><div><b><br>
ERGs:</b> We have eight Employee Resource Groups (ERGs)&mdash;Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents &mdash;that hold regular meetings, host events, and provide dedicated support to the organization &amp; its community.</div><div></div><div><b><br>
At Hinge, our core values are&hellip;</b></div><div></div><div><b><br>
Authenticity:</b> We share, never hide, our words, actions and intentions.</div><div></div><div><b><br>
Courage:</b> We embrace lofty goals and tough challenges.</div><div></div><div><b><br>
Empathy:</b> We deeply consider the perspective of others.</div><div></div><div><b><br>
Diversity inspires innovation</b></div><div></div><div><br>
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.</div><div></div><div><b><i><br>
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.<br>
</i></b></div><div></div><br>
<div><i>#Hinge</i></div></div>
<div><div>.</div></div></div>

Senior Data Scientist, Matching

Nomura

<div></div><div><div><div><div><div>Job Code: 13473
</div></div></div></div><div><div><div><div>Country: US
</div></div></div></div><div><div><div><div>City: New York
</div></div></div></div><div><div><div><div>Skill Category: Internal Audit
</div></div></div></div><div><div><div><div>Description:
<h3 class="jobSectionHeader"><b>Corporate Title: </b>Associate</h3>
<h3 class="jobSectionHeader"><b>Department:</b> Internal Audit</h3>
<h3 class="jobSectionHeader"><b>Location: </b>New York, NY</h3>
<h3 class="jobSectionHeader">The base pay range for this position at commencement of employment is expected to be between $130,000 and $150,000 per year. .</h3><br>
<div></div><div><b>Company overview</b></div>
<p>Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.</p><br>
<div></div><div>Aon&rsquo;s Benefit Index&reg;: Nomura&rsquo;s benefits <b>rank</b> <b>#1</b> amongst our competitors.</div><br>
<p></p><p><b>Department overview</b><b>:</b></p>
<p>The Internal Audit department is a key part of Nomura&rsquo;s corporate governance and the department&rsquo;s primary objectives are to review the company's control environment and report any weaknesses identified to the Audit Committee and senior management.
</p><p>The Internal Audit department has over 190 staff that are located in major cities around the world. The Nomura Global Wholesale Internal Audit department in the Americas comprises 40 professionals, split across Trading, Sales and Investment Banking businesses as well as Technology, Risk Management, Legal and Compliance and Finance specialists, reporting to the Americas Head of Internal Audit.</p><br>
<p></p><p><b>Key responsibilities;</b></p>
<p>Reporting to the Americas Global Markets Audit Technology Portfolio Director who is responsible for the Global Equities and Securitized Products IT audit portfolio globally, the Global Markets Internal Audit Data Scientist will be responsible for working as part of an integrated team to audit Global Markets businesses.
</p><p>The role involves working with technology and control stakeholders to understand and assess the technology risks across a range of products and make value added control improvement recommendations to senior management. The role covers systems supporting structured and complex businesses as well as vanilla businesses across all major asset classes (Credit, Rates, FX, and Equities).</p>
<p>The role involves using data analytics and developing automated testing to assess risks and controls to identify internal control weaknesses during internal audit reviews and continuous auditing.</p>
<p>The audits cover Front Office Trading and Sales together with supporting control functions including Market and Credit Risk Management, Product Control / Middle Office, Technology and Compliance.
</p><p>Responsibilities include risk assessments, continuous monitoring, validating major control enhancements, reporting results to senior management, and contributing towards strategic and innovative changes to improve audit effectiveness.</p><br>
<p></p><p><b>Skill and Experience Requirements</b></p>
<ul><li>The primary skillset required is prior experience of data analysis. The candidate must be able to cite examples of applying data analysis skills and tools in a business or educational context.</li>
<li>Experience of trading systems, businesses, and the related operations, compliance, and finance areas in a broker-dealer or investment bank, or in an auditor / consultant role in a public accounting firm.</li>
<li>Experience of coding e.g. using Python and other languages, to provide insight into risks and/or controls such as IT general controls for e.g. change management, and analysis of data integrity to provide an audit opinion on the completeness, accuracy of system-based processing.</li>
<li>Knowledge of artificial intelligence tools and prompt engineering would be an advantage.
</li><li>Knowledge of databases: SQL, Elastic, Graph technologies, and Linux environments would be beneficial.</li>
<li>Knowledge of data visualization tools such as Power BI, Tableau, QlikView, etc. would be beneficial.</li>
<li>Knowledge of general auditing principles, including the ability to identify and document technology and business processes, and the design and operating effectiveness of related controls.</li>
<li>Confident manner and well-developed communication (both verbal and written), influencing, interpersonal and project management skills.</li><br>
</ul><p></p><p><b>Qualifications</b></p>
<ul><li>A bachelor&rsquo;s degree in Data Science, a Quantitative subject, Computer Science, Business, Finance, or related discipline.</li>
<li>Accounting or Audit professional qualifications (e.g., CISA) and / or securities licenses would be advantageous.</li>
<li>Knowledge of regulatory requirements in the US, Europe, and Asian markets would also be beneficial.</li><br>
</ul><p></p><div><b>Nomura Leadership Behaviors</b></div>
<div><b>Explore Insights &amp; Vision</b></div>
<ul><li>Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.</li>
</ul><div><b>Making Strategic Decisions</b></div>
<ul><li>Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.</li>
</ul><div><b>Inspire Entrepreneurship in People</b></div>
<ul><li>Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.</li>
</ul><div><b>Elevate Organizational Capability</b></div>
<ul><li>Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.</li>
</ul><div><b>Inclusion</b></div>
<ul><li>Foster a culture of inclusion and psychological safety in the workplace and cultivate a &quot;Risk Culture&quot; (Challenge, Escalate and Respect).</li><br>
</ul><div></div><ul><li>base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</li></ul><br>
<div></div><div>If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors&rdquo;.</div><br>
<div></div><div><i>Nomura is an Equal Opportunity Employer</i></div><br>
</div></div></div></div><p></p><p><br>
<b>Nearest Major Market: </b>Manhattan
<br>
<b>Nearest Secondary Market: </b>New York City</p></div>

GM Technology Data Scientist Associate

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Data Scientist, Safety

Sr Data Scientist

Senior Data Scientist, Matching

GM Technology Data Scientist Associate