Data Modeler remote jobs - 1,508 jobs

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart‑sensor systems to high‑performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: You will be joining the data science team that is focused on model optimization, will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the ChimeraGPNPU. Your analyses will set the quantization recipes that ship in the ChimeraSDK and influence future hardware features. Responsibilities: Design statistically rigorous experiments to compare PTQ, QAT, pruning, and mixed‑precision schemes on vision, language, and multimodal models. Build calibration datasets; develop Python notebooks/dashboards to track accuracy, latency, power, and memory trade‑offs. Perform layer‑ and token‑level error analysis to guide numerical‑format choices. Partner with compiler team to convert your findings into turnkey SDK flows and reference configs. Publish internal whitepapers, external benchmarks, and present results to customers and at industry events. Monitor academic literature in compression and efficient inference; translate promising ideas into reproducible prototypes. Qualifications: M.S./Ph.D. in CS, EE, Applied Math, or similar, with5+years in ML model optimization or data‑science‑driven research. Deep grasp of fixed‑point arithmetic, quantization theory, and statistical calibration. Fluent in Python, PyTorch or TensorFlow, NumPy/Pandas/SciPy, and data‑viz tools (Matplotlib/Plotly). Hands‑on with at least one quantization toolkit (PyTorchFX/PTQ/QAT, TF‑Lite, ONNX‑Runtime, TVM, MLIRQuant). Working knowledge of CNNs, Transformers and DNN architectures. Benefits: Provide competitive salaries and meaningful equity. Health Care Plan (Medical, Dental & Vision). Retirement Plan (401k, IRA). Life Insurance (Basic, Voluntary & AD&D). Paid Time Off (Vacation, Sick & Public Holidays). Family Leave (Maternity, Paternity). Work From Home. Free Food & Snacks. Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real‑time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co‑founded by technologists from MIT and Carnegie Mellon, who were previously the technical co‑founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability. #J-18808-Ljbffr

A leading data and analytics firm is looking for a Data Scientist / Machine Learning Engineer to enhance their data infrastructure and collaborate with a dynamic team. This fully remote role seeks expertise in machine learning, deep learning, and proficiency in Python. Ideal candidates will design and implement advanced ML models and work closely with data and software teams. Benefits include paid time off, U.S. holidays, and career development opportunities. #J-18808-Ljbffr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer‑centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a technical Data Science leader with a solid background in analytics and the consumer risk domain who is excited about solving hard Data Science and analytics problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of risk optimization strategies that will have a vast impact across underwriting, fraud prevention, and collections. These risk optimization strategies are central to our business and have a direct impact on our customers every day. You will design, execute, and evaluate experiments to drive continuous learning and improvement in our risk optimization processes. What You'll Do Leverage advanced analytics and machine learning models to optimize Credit Genie's risk strategies across credit, fraud, and collections Own the development and delivery of risk insights, driving data‑informed decisions that minimize losses while enabling sustainable business growth Monitor and analyze key risk KPIs, identify emerging loss trends, and propose strategy enhancements to continuously improve approval and portfolio performance Collaborate cross‑functionally with Product, Engineering, Data, and Machine Learning teams to align on shared objectives, provide strategic insights, and deliver actionable solutions Act as a strategic risk advisor to business stakeholders, translating complex analyses into clear, high‑impact recommendations Tackle ambiguous, high‑impact problems with creativity and analytical rigor, developing novel solutions that directly improve customer experience and portfolio outcomes Requirements A Bachelor's degree in Statistics, Mathematics, Business, Economics, or related fields; an advanced degree is preferred 8+ years of experience analyzing data using SQL or Python. Proficiency in Python for data processing and modeling is preferred Hands‑on experience in risk strategy within payments, lending, banking, or financial institutions is a plus Proven ability to design, execute, and interpret experiments (e.g. A/B testing or causal analysis) to measure impact and inform risk strategy Exceptional problem‑solving abilities, analytical rigor, and the ability to translate complex findings into actionable insights for non‑technical audiences Strong organizational skills with the ability to manage multiple projects in a fast‑paced environment and meet tight deadlines Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company‑paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview. #J-18808-Ljbffr

A fast-growing SaaS company in San Francisco is seeking an Economist / Data Scientist to join their analytics team. The candidate will drive data-informed decisions and apply expertise in causal inference and econometrics to enhance pricing and product monetization strategies. This role requires strong skills in R and Python, and a PhD in Economics is preferred. The position offers a hybrid work model with attractive benefits and perks. #J-18808-Ljbffr

A technology company in San Francisco is seeking a Data Scientist to turn user data into actionable insights. You will design experiments and build dashboards to assess AI model performance and guide product decisions. The ideal candidate will have 3-5 years of experience in a relevant field, strong statistical foundations, and proficiency in Python and SQL. This role is deeply collaborative, requiring you to work closely with product, engineering, and design teams to shape product features. Join a passionate team that values creativity and curiosity. #J-18808-Ljbffr

A fast-growing tech company in San Francisco is seeking a Staff Data Scientist to drive the development of AI solutions optimizing procurement for enterprise clients. Responsibilities include leading data science initiatives, designing ML models, and collaborating with cross-functional teams. Candidates should have over 6 years of experience, strong technical skills in Python and SQL, and a relevant degree. This role offers a competitive salary and remote-first culture. #J-18808-Ljbffr

Job Title Data Scientist Duration 6-Month Contract (W2) Experience Level 6-8 Years Open Positions 4 Visa Status Open to All Visa Types Regent Strategic Solutions Inc is hiring Data Scientists for a 6-month W2 contract based in Mountain View, CA. This hybrid role offers an exciting opportunity to work on complex datasets and build models that solve real-world business challenges. Ideal candidates will have strong analytical, programming, and data visualization skills. Key Responsibilities Develop and maintain analytical models using machine learning techniques including regression, decision trees, and NLP Perform exploratory data analysis (EDA) and generate actionable business insights Build and maintain interactive dashboards and reports using Qlik or Tableau Write efficient SQL and Python scripts for data extraction, transformation, and processing Conduct ad hoc analysis to support cross-functional initiatives Collaborate with internal teams to define data requirements and deliver solutions Preferred Qualifications Proficiency in SQL and Python Hands-on experience with Tableau or Qlik for data visualization Solid understanding of machine learning algorithms and practical application Familiarity with GenAI technologies is a plus Strong communication and critical thinking skills How to Apply 📧 Please send your updated resume to: ********************** 📞 Contact: ********** Join a data-driven team that values innovation, collaboration, and impactful insights. Apply now to be part of a forward-thinking environment. #J-18808-Ljbffr

You are a data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution, Document Classification, building Knowledge Graphs, and Topic Modeling. You are excited to work at a fast-growing company where you will have the chance to expand your scientific and engineering skills in new areas. You share Quantifind's commitment to winning together and are eager to see your coworkers build on the technical foundations you will be creating. You are passionate about maintaining the high scientific and engineering standards required to enable your peers. Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have a real impact. You're looking to explore a client-facing role at the intersection of software and consulting. You are obsessed with the idea of delighting clients at some of the world's leading Financial Institutions, helping them identify financial crimes. You have always been a strong critical thinker and know how to problem solve. You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations. You are comfortable working closely with Sales, Product, and Technology teams to promote a Customer Centric culture. You have an entrepreneurial spirit with a deep sense of personal accountability for work product quality and always take the initiative to propel work products to new heights. You maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team. Who We Are Quantifind is the Risk Intelligence company. We help some of the world's biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results through an AI-driven software-as-a-service (SaaS) solution with consumer-grade user experiences. Quantifind's Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today, these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Demand for this solution is fueling our rapid growth. To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance. What a Great Candidate Looks Like: Master's degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field. At least 2 years of professional industry experience, in addition to your academic experience. Proficient in two or more of the following: Scala / Java, Python, R. Outstanding quantitative and analytical ability. Able to take less-than-precise business requirements and translate them into Quantitative problems that you enjoy solving. In‑depth knowledge of Statistics / Probability / Machine Learning, including foundations such as bias/variance trade‑off, regularization, dimension reduction, and model explanation. Prior experience with Natural Language Processing (NLP) methods such as Word and Contextual Embeddings, Named Entity Recognition, Topic Modeling, large‑scale Document Classification, and Sequence-to-Sequence Models is a significant plus. Ability to apply software engineering best practices to build scalable, reliable ML pipelines. Comfortable prototyping algorithms, iterating quickly, and working collaboratively. Prior experience working with large‑scale datasets (Millions of records) using SQL and Spark. Excellent written and verbal communication skills, prior experience explaining assumptions, conclusions, and methodology to technical and non-technical audiences. The Opportunity We Offer Quantifind is seeking to fill a Data Scientist position on our Data Science team. We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state‑of‑the‑art mathematical tools into the hands of end users. Members of the Data Science team translate real‑world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem‑solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full spectrum of data science challenges, bringing solutions from research all the way to production. Quantifind's development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in‑person touchpoints and shared office space. A highlight of our benefits: Company Equity Exceptional benefits package Flexible Vacation & Paid Time Off Employer‑matched 401(k) plan A fun environment where work‑life balance is valued The base salary range for this full‑time position is $140,000 to $170,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role‑related knowledge and skills, depth of experience, relevant education or training, and additional role‑related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together. Will you join us? Apply now! #J-18808-Ljbffr

A technology solutions company in San Diego is looking for a skilled Data Scientist II to leverage analytics and machine learning to drive business impact. The ideal candidate has a Master's degree in a related field and 2-4 years of experience in data science. You will collaborate with teams to design data-driven solutions, ensuring compliance with data governance. This role requires residing in the San Diego area, with a hybrid working model. #J-18808-Ljbffr

A data science and technology firm is seeking a Data Scientist with expertise in Market Mix Modeling to provide advanced analytics for major retail clients. The role requires high proficiency in Python, SQL, and statistical analysis, along with a Ph.D. in a relevant field. Applicants should have solid experience in data visualization and machine learning. This is a remote contract position with pay starting at $50/hour, offering the possibility for extension based on performance. #J-18808-Ljbffr

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve. #J-18808-Ljbffr

A global accommodation platform is seeking a Staff Data Scientist to optimize their dynamic marketplace. The role involves building data products, developing forecasting models, and collaborating with cross-functional teams. Candidates must have at least 9 years of relevant experience and a quantitative degree. This position is eligible for remote work but must reside in a state where the company has a registered entity. #J-18808-Ljbffr

A technology company in San Francisco seeks an expert to design and implement a data pipeline for large-scale microscopy datasets. This role involves architecting storage solutions, ensuring system performance at petabyte scale, and requires extensive experience in high-throughput storage technologies and data integrity. Candidates must be present on-site during the build-out phase and have a solid background in HPC pipelines and networking. Competitive compensation is offered at $100-300/hour. #J-18808-Ljbffr

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

About the role As a Trust & Safety Product Analyst, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization's mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members. In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior. The base salary offered for this role and level of experience will begin at $140,670.00 and up to $195,400.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to Partner widely with product, engineering, research, and design to translate your insights to guide product development. You'll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications. Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction. Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders. Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends. Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change. Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions. To thrive in this role, you have 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred. Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making. Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem. Familiarity in R or python - you write reproducible code and have a tendency toward automation. Hands‑on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc). Experience building metric frameworks to understand user behaviors. Ability to think holistically to solve business problems at hand and navigate through ambiguity. Excellent stakeholder management skills, with a record of working cross‑functionally to achieve results. A focus on impact - you don't stop with just recommendations but ensure to see work through to changing the business. #LI-Hybrid #LI-DB1 A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank-on the premise that core banking services should be helpful, easy, and free. Through our user‑friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out‑hustle and out‑execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't-who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full‑time, regular employees 🏢 Our in‑office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company‑wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.** 💻 In‑office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute** 💰 Competitive salary based on experience** ✨ 401k match** plus great medical, dental, vision, life, and disability benefits 🏝 Generous vacation policy and company‑wide Chime Days, bonus company‑wide paid days off** 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non‑birthing parents 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. 🎉 In‑person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!** 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress** ** Perks also available to Chime Interns. We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: ******************. To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice. #J-18808-Ljbffr

A technology company in San Francisco is seeking a seasoned Staff Data Analyst to lead data cleanup initiatives across Engineering and Research. You will identify opportunities to improve data quality and leverage your expertise in Python and SQL to transform and cleanse data. With 8-12 years of experience in data analytics, your role includes developing solutions for complex data issues and managing projects across multiple teams. This position offers competitive compensation and generous benefits including unlimited PTO and equity grants. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Data Scientist in San Francisco to optimize AI products and create analytics for medical professionals. Candidates should have over 5 years of experience and advanced knowledge in statistical concepts and machine learning. This role offers a competitive salary between $170,000 and $248,000, plus comprehensive benefits including health offerings and wellness programs. Join us to make an impact in the healthcare industry. #J-18808-Ljbffr

A prominent financial technology firm is seeking a Lead Data Analyst responsible for driving advanced analytics across product and business domains. This role involves leading analytics initiatives, designing measurement strategies, and advising executives on data strategy. The ideal candidate has over 5 years of experience and is proficient in SQL and Looker. The position is remote, offering great benefits to ensure employees' well-being and work-life balance. #J-18808-Ljbffr

A leading crypto and Web3 platform is seeking a Principal Data Engineer to define the technical direction for data modeling, processing, and delivery. This senior role involves working cross-functionally to enhance data solutions and mentor junior engineers. Requirements include extensive experience in data engineering, strong skills in Python and SQL, and a proven track record in ETL pipeline design. The position offers opportunities for innovation in a hybrid work environment. #J-18808-Ljbffr