Title: Senior Applied Data Scientist Location: USA Type: Contract Category: Data Industry: Retail Workplace Type: Remote Reference ID: JN -052026-106994 Job Description: 100% Remote, EST hours Our client, a leader in their industry, is hiring a Senior Applied Data Scientist for a 6+ month contract to support applied data science initiatives focused on a production pricing engine for products and services. This position is 100% remote. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80–$95 Responsibilities: • Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services • Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems • Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact • Operationalize and support models using production-quality Python development to deploy solutions into production environments • Write, optimize, and tune complex SQL queries to support large-scale data access, feature generation, and model validation Experience Requirements: • Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment • Proficient Python development skills with experience supporting or deploying models in production systems • Strong SQL expertise, including complex query writing and performance tuning Education Requirements: • PhD in a quantitative field (e.g., Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Operations Research) with 2+ years of applied industry experience OR • Master’s degree in a quantitative field with 5+ years of applied data science experience OR • Bachelor’s degree in a quantitative or technical field with 7+ years of applied data science experience Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check

Title: Senior Data Scientist - Pricing Location: Paris; Barcelona; Bordeaux Employment Type: Full time Location Type: Hybrid Department: BUREAU OF TECHNOLOGY Job Description: We're here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet - and consumers - a break. Our mission is simple: to do more with what we already have. Are you ready to join us? About the role As part of the Bureau of Technology, you'll design, build, and scale AI-driven solutions to improve our marketplace. You'll join the Pricing & Quality team (a mix of data scientists and backend engineers) focused on curating offers to give customers the best value for money. Your focus: implement models and algorithms to optimize fees and pricing. What You'll do - Drive pricing intelligence: design and implement Machine Learning models and optimization algorithms that directly fuel a comprehensive suite of pricing levers - Own projects end to end: from problem definition and metrics design, through data extraction and model implementation, to presenting results to business and product stakeholders. - Collaborate with data scientists and backend engineers to translate models into production-ready features - Design and analyze experiments to measure the impact of fee strategies or model changes. - Leverage statistical analyses to uncover actionable insights and inform critical tech, business and product decisions - Communicate your work clearly to engineering, product, and business stakeholders. About you - At least 5 years of industry experience as a data scientist and Master's (or PhD ) in a quantitative discipline such as Statistics, Economics or Engineering - Impact-driven: You've contributed to data science projects that made a real impact on live, customer-facing products - not just in theory, but in production. - Comfortable with ambiguity: you are able to make decisions and propose directions even when the problem is not fully defined or the data is imperfect - Strong grasp of machine learning and statistical concepts and know how to choose the right model for the problem and make it work in a production environment. - Practical expertise in experimentation design and analysis. - Proficient in Python and SQL, and familiarity with software engineering principles around testing, code reviews, and deployment - Clear communicator: You are comfortable explaining complex ideas and results to diverse audiences, including senior management. - Experience in pricing, B2C marketplaces or revenue management is a strong plus. Recruitment process - Call with one of our Tech recruiter (1h) - Technical screening (30 min) - Technical Interview (1h15) - Stakeholder interview (1h) - Meet your manager (30min) - Back Market Values fit interview (45 min) WHY SHOULD YOU JOIN US ? At Back Market, we're committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives - it's one of the reasons we're such a high-scoring certified B Corp company (93.2). No matter your role and seniority level, you'll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment - with benefits to match, like: - A mission driven work environment where your day to day makes an impact on the planet. Seriously. - Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days. - Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training. At Back Market, we strive to create a workplace that embodies the world we're trying to change. We've embedded our diversity, equity, and inclusion principles into our DNA - from dedicated staff to employee resource groups to our company values. We know that the perfect background for a role doesn't mean the perfect fit - we encourage you to apply for a role even if you think you may not have all the qualifications. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.

• Review and analyze changes in public voter registration data and absentee ballot data • Provide election officials with timely insights and answers to data questions • Write and present accessible data reports • Conduct legal/policy research for context in reports • Partner with colleagues across Protect Democracy for data analyses and custom tools • Expand and enrich current data with external datasets • Create and refine standards for reporting and best practices • Build and maintain relationships with partners in the election community

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com . What you'll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you'll be responsible for: As a Data Analyst at Circle, you'll work closely with business partners to better understand our products, better understand the ecosystem, and enable better decision-making with data. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. One of our big bets is on payments. We've announced our Circle Payment Network and are committed to building an amazing payments product onchain. If you are curious about data, enjoy deriving insights, have experience improving data insights, have experience in payments, and are motivated by impacting business, we want to hear from you. What you'll work on: - Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights - Perform strategic analysis and research to identify new opportunities where business can be improved - Create data visualizations to translate analytic results for broad understanding across the business - Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team - Partner with leaders effectively employing clear and structured communication to tell a "story" focused on business insights & data - Develop strategic problem-solving, quantitative analytics, and communication skills What you'll bring to Circle: - Bachelor's Degree or equivalent experience in a quantitative major (Finance, Accounting, Economics, Mathematics, Engineering) - Strong analytical and data skills, including top notch SQL skills. Ideally (but not necessary to apply), you will also be able to build simple pipelines to help scale yourself - Good communication skills - be able partner across the organization and identify business needs and difficulties, articulate issues clearly and concisely, and present effectively in both oral and written presentations to all levels in the organization - Strong business sense and the ability to work through complex and ambiguous business requirements - Self-starter - an entrepreneurial spirit that thrives in a fast-paced environment, deals well with ambiguity and focuses on driving impact - Prior experience with visualization using Superset, Tableau or similar BI tools - Prior experience with payments, crypto, or both is highly desired Senior Data Analyst (III) - 4+ years of industry experience in data analytics - Expert in data analyses using SQL - Basic understanding of Python is an added advantage - Good understanding of statistics and experience applying them to solve business problems - Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, crypto ecosystem, or risk analytics Lead Data Analyst (IV) - 8+ years of industry experience in data analytics - Expert in data analyses using SQL - Deep understanding of statistics and experience applying them to solve business problems - Domain expertise in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $152,500 - $205,000 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote