Data Scientist jobs at Robinhood - 698 jobs

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products. As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you'll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers. We're looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics. Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes. Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making. Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership. Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact. Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. Assist with established methods, standard approaches, and promote a data-informed culture within the organization. What you bring Proven expertise in data science, with a strong background in statistical analysis and machine learning. Outstanding problem-solving skills and the ability to think critically and creatively. Strong programming skills in Python & SQL, or other relevant languages. Experience with data visualization tools and techniques. Ability to successfully implement projects and compete in a fast-paced environment. PhD or master's degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $179,000 - $210,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $157,000 - $185,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $139,000 - $164,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the for your country of application.

A global payments technology company in Foster City is seeking a Data Scientist to leverage Visa's rich datasets to solve impactful business problems. You will brainstorm innovative solutions, extract and analyze data to provide actionable insights, and collaborate with cross-functional teams. The role requires at least 5 years of experience with relevant education. The estimated salary range is competitive with comprehensive benefits including health insurance and a retirement plan. #J-18808-Ljbffr

A leading financial technology firm is looking for an entrepreneurial Data Scientist to build data analysis frameworks. This role involves harvesting insights from complex data and requires 1+ years of experience with datasets. Responsibilities include ensuring data correctness and performing analyses on trading systems. The base salary ranges from $150,000 to $190,000, complemented by a comprehensive benefits package including medical coverage and paid time off. #J-18808-Ljbffr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data healthin data stores and live feeds Proactively identify abnormalproductionbehavior and communicate them clearly to relevant stakeholders Performextemporaneousanalyseson research and production trading systems with leadership Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methodsto analyze data,identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability toframe and answerquestions mathematically Ability to infer useful forward-looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular datausing a combination of SQL, Pandas, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests toproduce reports demonstrating excellence in communication Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Preferred Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow Compensation The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use thisformto submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts. #LI-MD1 #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy. About the Role Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7+ years) applying their expertise in a business environment. As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. About the Team In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open, each focused on a different area of our business. Here's what you'll do day‑to‑day Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains. Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data‑informed decision‑making. Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI‑assisted analytics to surface drivers of product performance, separating signal from noise. Experimentation & Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade‑offs and limitations based on sample size and data quality. Execution: Deliver multiple high‑impact projects, balancing trade‑offs to maximize business value, and maintain clear expectations of deliverables and timelines. Communication: Present complex findings in a structured, compelling way to technical and non‑technical stakeholders, fostering a data‑informed mindset across the company. Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders. Scaling the Craft: Mentor other data practitioners, up‑level team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities leveraging AI‑native tools and workflows across the org. Here's what we're looking for 7-10 years of experience in Data Science at a product‑focused software company. Strong SQL skills and comfort with Python. Proven ability to apply statistical methods, causal inference, AI tools, and experimental design to real business problems. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, $168,000/yr - $198,000/yr in Los Angeles, $186,000/yr - $225,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2‑3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non‑office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

A leading HR tech company is seeking an experienced Staff Data Scientist based in Denver. This role involves leveraging statistical methods and causal analysis to drive strategic decision-making. Candidates should have 7-10 years of experience in data science, strong skills in SQL and Python, and the ability to communicate complex findings effectively. The position aims to support small businesses by integrating data and AI across various teams. Competitive compensation ranging from $154,000 to $181,000 per year is offered. #J-18808-Ljbffr

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

A leading HR tech company is seeking an experienced Staff Data Scientist based in Denver. This role involves leveraging statistical methods and causal analysis to drive strategic decision-making. Candidates should have 7-10 years of experience in data science, strong skills in SQL and Python, and the ability to communicate complex findings effectively. The position aims to support small businesses by integrating data and AI across various teams. Competitive compensation ranging from $154,000 to $181,000 per year is offered. #J-18808-Ljbffr

A leading HR tech company is seeking an experienced Staff Data Scientist based in Denver. This role involves leveraging statistical methods and causal analysis to drive strategic decision-making. Candidates should have 7-10 years of experience in data science, strong skills in SQL and Python, and the ability to communicate complex findings effectively. The position aims to support small businesses by integrating data and AI across various teams. Competitive compensation ranging from $154,000 to $181,000 per year is offered. #J-18808-Ljbffr

A leading financial technology company in Palo Alto seeks a Data Scientist to join its Lifecycle Marketing team. The role involves maximizing lead conversion and optimizing client engagement through personalized campaigns. Ideal candidates should have a Masters or PhD and 4-8+ years of experience, with strong skills in Python, SQL, and Statistics. This position offers a salary range of $164,000 - $184,000, plus benefits including medical, vision, and professional development. #J-18808-Ljbffr

The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance. The Data Scientist in this role will be primarily embedded within Wealthfront's Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications. The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning. A key desired trait for this role is an ability to collaboratively create experiments based on clients' hypothesized pain points, aspirations, and moments of delight. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language. Responsibilities Suggest and analyze Lifecycle Marketing campaigns rooted in clients' delight and friction. Employ and exemplify rigor in mathematical analyses and sound design principles in software development. Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives. Turn initiatives into projects with clear rationale, candidate approaches and milestones. Execute planned projects through hands‑on work and delegation. This includes tracking priority and progress of projects in weekly meetings. Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations. Absorb and articulate the Marketing strategy and project rationales to Data Scientists. Requirements Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist. Proficiency in Python and SQL. A strong foundation in practical Statistics including the use of causal inference. Strong mathematical and software engineering skills. Fluency in long and short‑form oral and written communication. Ability to sharpen or reframe project requirements through effective collaboration. Desire to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills. Experience in a Marketing facing role preferred, but not required. Estimated annual salary range: $164,000 - $184,000 plus Equity and a discretionary bonus. Benefits medical vision dental 401K plan generous time off parental leave wellness reimbursements professional development employee investing discount more! About Wealthfront Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low‑cost, and easy‑to‑use financial products that help modern investors grow and manage their money. We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally‑native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long‑term wealth, including: A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features. A zero‑commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions. Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax‑loss harvesting, and direct indexing-which we offer at industry‑leading low costs and accessible minimums. Our award‑winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings-and we're far from done. If you're inspired to help us reshape the financial industry as we create our next chapter, let's talk! For more information please visit ******************** We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please review our candidate privacy notice. Disclosures:All investing involves risk, including the possible loss of principal. Tax‑Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn't provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass‑through insurance. Investment management and advisory services-which are not FDIC insured-are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC‑registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details. By “award-winning products”, please refer to *************************** for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation. #J-18808-Ljbffr

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. About the Role Gusto is looking for highly skilled, motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI‑assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. Here's what you'll do day‑to‑day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high‑leverage opportunities, set long‑term measurement and experimentation direction, and align executive stakeholders around data‑driven priorities. Execution Excellence: Drive and execute on org‑level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org‑wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data‑informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI‑assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here's what we're looking for: 10+ years of experience in Data Science at a product‑focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross‑functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem‑solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Compensation Our cash compensation range is $170,000-$210,000 per year in Denver, $185,000-$225,000 in Los Angeles, and $200,000-$240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise. Work Location Employees based in Denver, San Francisco, and New York City are expected to work from the office on designated days approximately 2-3 days per week. The same expectations apply to all Gusto roles in these locations. EEO Statement Gusto is an equal‑opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy and related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. #J-18808-Ljbffr

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

At Banking Soft Solutions (BSS) LLC, our mission is to launch a new Cryptocurrency exchange called ‘Marai-X'. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging on-chain platform - and with it, the future global financial system. Our team is dedicated to eliminating customer pain points, resolving the current challenges of existing Cryptocurrency exchanges such as weaker protection against hackers, making users keep assets on the exchanges, and high transaction fees. To achieve our mission, we're seeking a very specific candidate. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high-caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. As a Data Architect, you will serve as a Backend DB and Interface Architect for specific modules in the cryptocurrency exchange. Aligned with our mission to deliver outstanding support, you will work closely with developers, software programmers, and QA testers to ensure compliance with audit requirements, generate actionable insights, and share key findings with stakeholders. You'll have the opportunity to work on a high-impact project in the trillion-dollar Cryptocurrency market. We're not just building systems; we're creating a scalable, high-performance exchange that makes a real difference in the crypto world. We prioritize design quality, customer focus, and rapid iteration. Please note that this role is expected to report onsite at our corporate office in San Jose, CA. We are looking to fulfill 2 positions for this same role. Your Role and Responsibilities: Design a centralized Crypto Currency Exchange (Marai-X) with a web interface, admin dashboard, mobile apps, and trading engine. Design features including onboarding, crypto wallet, charts, order book, transaction history, and portfolio analytics. Design crypto staking, cold wallet integration, credit card integration, P2P crypto trading, KYT practices, exchange token, and API endpoints. Collaborate with engineering leaders to define crypto exchange visions and translate them into technical roadmaps. Lead the design and review of new and existing system architecture. Conduct deep research into current platforms and identify areas for optimization. Create documentation, diagrams, and presentations to communicate architectural strategies. Mentor and coach developers to cultivate technical leadership. Architect integration patterns for Developer Platforms and test environments. Develop technical standards, blueprints, and design patterns for internal tools. Implement developer-focused solutions like portals and API gateway integrations. Evaluate strategic architecture investments and technologies. Prioritize scalability, security, traceability, and observability in designs. Guide technology investment decisions aligned with industry standards. Apply organizational principles such as Conway's Law to system design. Lead cross-functional architecture reviews and maintain design records. Support teams in incident management and RCA processes. Collaborate to reduce inefficiencies and redundant development efforts. Mentor teams and advocate engineering excellence and innovation. Communicate technical concepts clearly across all stakeholder levels. Develop with blockchain tools, smart contracts, and decentralized platforms. Drive architectural decisions in a fast-paced startup environment. Qualifications: Education: 4-year bachelor's degree in a relevant field or 3 years of relevant work experience. Creativity, pragmatism, and empathy in solving technical and business challenges. A love of technology and a growth mindset. Strong communication skills in written, verbal, and visual formats. Experience designing large-scale, complex software systems with strategic outcomes. Proven ability in mentoring engineers and developing talent. Experience with high-volume platforms, cloud technologies, and modern architectures. Strong knowledge of systems design, distributed systems, and enterprise architecture. Core Competencies: Mission-driven: Commitment to BSS's mission and enhancing customer experience. Problem solver: Strong analytical and solution-oriented mindset. Expert calibrator: Skilled in communication, negotiation, and alignment handling. Project management: Ability to manage and execute architecture-focused projects. Reporting management: Skilled in dashboards, documentation, and presentations. Stakeholder management: Able to engage and influence across the organization. Time management: Excellent prioritization and deadline management. Nice to Haves: Familiarity with crypto exchange or banking systems. Knowledge of AI capabilities for developer productivity. Expertise in Solidity, Rust, or Move. Backend skills in Node.js, Go, or Python. Proficiency in Web3.js, Ethers.js, or Polkadot.js. Experience with Ethereum, Hyperledger, or Solana. Knowledge of cryptography, consensus, and layer-2 solutions. Experience with Docker, Kubernetes, AWS, or GCP. Understanding of blockchain security practices. Prior supervisory or team leadership experience. Background in customer support or account management. Basic knowledge of cryptocurrency and change management. #J-18808-Ljbffr