Data modeler jobs near me - 1,396 jobs

A progressive consulting firm in San Francisco is seeking a Senior Data Scientist to lead analytics on their Experiments Team. This fully remote role involves conducting analyses of voter data to drive strategic decisions. The ideal candidate will have over five years of experience, strong skills in project management, SQL, and predictive modeling. The position offers a salary range of $100,000-$119,000, exceptional benefits including unlimited PTO, and opportunities for career advancement. #J-18808-Ljbffr

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Company and Position COMPANY: DataRobot Inc. POSITION: Senior Execution Data Scientist WORK LOCATION: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation 3 years of experience consulting with customers on end-to-end data science solutions 3 years of experience building and implementing machine learning or AI models into production Experience with each of the following: Machine learning and predictive modeling Building and implementing predictive models, data science, and complex statistical analysis Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries Developing predictive models, AI algorithms, and systems to generate significant business insights Integrating predictive models and AI algorithms into client environments Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization Experience requirements may have been satisfied concurrently. Terms of Employment Full time (40+ hours per week). $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flex paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. #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 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

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

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands‑on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big‑data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end‑to‑end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high‑quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine‑tune Large Language Models (LLMs) and build LLM‑driven applications. Implement Retrieval‑Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production‑grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross‑Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at *************** Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands‑on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit‑learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI‑specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big‑data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands‑on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration #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 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

A pioneering AI supplier intelligence firm based in San Francisco is hiring a Data Scientist to engage and drive activity in a buyer-supplier marketplace. The ideal candidate will have 4-7 years of data science experience, strong skills in Python and SQL, and a passion for AI. This role involves developing AI features, analyzing supplier data, and shaping strategies across teams. The company offers competitive compensation, a remote-flexible culture, and a commitment to innovation. #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

An innovative biotech company is seeking a Global Head of Data Science to lead biostatistics and data management for their clinical trials. This strategic leadership role involves developing data strategies to accelerate drug discovery and ensuring compliance with global regulatory standards. The ideal candidate holds a PhD and has over 10 years of experience in biostatistics and oncology trials, with a strong focus on leading high-performance teams. Join us in transforming cancer treatment with groundbreaking therapies. #J-18808-Ljbffr

A leading consulting firm in Washington, DC is seeking a Data Scientist to tackle public sector challenges using statistical programming and NLP. This fully remote role involves data preparation, model selection, and result visualization, requiring a Master's degree and at least four years of experience in relevant technologies. Competitive benefits, including bonuses and health care, are offered. #J-18808-Ljbffr

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

A leading technology firm is seeking a Rust Developer to design and optimize high-performance systems supporting AI models. The ideal candidate has over 5 years of experience in production Rust programming, focusing on memory safety and concurrency, and must effectively communicate complex concepts in English. This position offers competitive hourly compensation and the flexibility of remote work. #J-18808-Ljbffr

A technology company is seeking a highly skilled Product Engineer to join their robotics observability platform. This role involves designing user interfaces, backend services, and data processing for large volumes of sensor data. Candidates should have a minimum of 5 years in high-performance software, experience with REST APIs, and familiarity with technologies like TypeScript and Rust. The position is remote-friendly, with a supportive work environment and strong team dynamics. #J-18808-Ljbffr

A cutting-edge tech startup is looking for a Full-Stack Engineer to work on its Cube Cloud platform. You will play a vital role in building user-friendly interfaces and robust backend APIs. With a remote work policy, this role offers the chance to contribute to innovative analytics-driven products while collaborating closely with cross-functional teams. The ideal candidate should have strong experience with JavaScript/TypeScript, modern frameworks, and backend technologies, coupled with good communication skills for a product-oriented mindset. #J-18808-Ljbffr

A leading AI-driven data solutions company in California is seeking a Senior Software Engineer to enhance AI capabilities and build scalable data infrastructures. You will design robust data systems and integrate advanced AI solutions for data teams. Ideal candidates have strong backgrounds in Python, SQL optimization, and experience with cloud platforms. This role offers competitive salary and opportunities for professional development. #J-18808-Ljbffr

The Lead Data Analyst is a high-impact role responsible for shaping strategy and driving execution of advanced analytics across product, business, and platform domains. With a broad sphere of influence, this role owns highly complex initiatives, mentors cross-functional teams, and steers the Analytics & BI function toward scalable, data-driven decision-making. The Lead functions as a technical expert, strategic thinker, and organizational bridge-builder. As a Lead thought leader within Analytics, the Lead Data Analyst drives roadmap alignment, introduces innovative measurement strategies, and oversees development of analytics capabilities across teams. This role works closely with stakeholders to diagnose challenges, design solutions, and deliver high-leverage insights. They serve as a multiplier for analytics effectiveness through influence, enablement, and cross-org partnership. Where you can make an impact: Lead end-to-end delivery of strategic analytics programs spanning multiple teams or business domains. Architect scalable and reusable analytics solutions, including data pipelines, semantic models, and KPI frameworks. Design and evangelize measurement strategies that drive alignment on goals and performance metrics. Guide business-critical decision-making with deep, proactive insights using SQL, Looker, and statistical modeling. Serve as an expert advisor to executives and senior leaders on data strategy and analytics capabilities. Influence cross-functional partners to prioritize and integrate data-informed decision-making across initiatives. Drive the evolution of internal analytics infrastructure, standards, and governance. Coach and mentor analysts across teams; lead communities of practice and best-in-class knowledge sharing. Represent the Analytics function in cross-org strategic planning and OKR development. Your experience: 5+ years of progressively senior experience in data analytics, BI, or data science. Demonstrated ability to lead large-scale, cross-functional analytics initiatives with measurable business impact. Advanced SQL fluency and strong experience with Looker (or similar BI platforms) at the data modeling layer. Deep expertise in analytics architecture: reusable pipelines, event taxonomies, semantic layers, KPI governance. Strong track record in designing and implementing enterprise-wide measurement and experimentation strategies. Strategic thinking and business acumen: ability to connect high-level objectives with tactical data execution. Skilled at navigating ambiguity and setting direction for others in complex, fast-paced environments. Highly effective communicator and influencer, including at the executive level. Strong mentoring and leadership presence; builds capability through coaching, feedback, and enablement. Embodies self-awareness, resilience, and thoughtfulness in interpersonal dynamics. Preferred Qualifications: Experience operating in platform analytics, data governance, or embedded enterprise analytics roles. Proficiency in Python or R for statistical modeling or automation. Experience with dbt, Airflow, or similar tools for data pipeline development and orchestration. Familiarity with causal inference, machine learning, or advanced forecasting methods. Track record of leading change management or transformation efforts within data organizations. Where: This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. What we offer: Work Hard, Stay Balanced (Life's a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy - Vacation Time Off + 11 holidays New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend Work from home equipment stipend and co-working space subsidy Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives - Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward - Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked here. NerdWallet is committed to pursuing a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this notice, as well as the Los Angeles Fair Chance Act, which requires this notice. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster (English+Spanish/Español) Right to Work Poster (English) /(Spanish/Español) #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking a Senior Engineer to join the core platform team. The ideal candidate will build a reliable and extensible distributed data platform using AWS, Kubernetes, and Docker. Experience in high-scale data systems is essential as is a collaborative spirit in a remote-first environment. Join us to be part of our mission to revolutionize data usage for go-to-market teams. #J-18808-Ljbffr