Data Scientist jobs at Experfy

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. The following information provides an overview of the skills, qualities, and qualifications needed for this role. Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, weve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data its trained on. Thats why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders. Weve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. What you will be doing We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. Adopt a user mindset to produce natural data to meet the realistic needs you have or would use AI for. Use the tool of rubrics to address user needs in a structured way. Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models. Contribute across projects depending on your specific skillset and experience. What were looking for Education: Bachelors degree or higher (or currently enrolled). Analytical and Problem-Solving Skills: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning. Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses. Attention to Detail: Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves: Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Compensation and benefits Earn up to $15 USD/hr, paid out weekly Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM Free access to Model Playground Interact, experiment and engage with leading large language models free of cost Flexible schedule and time commitment No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home Join a global community of Coding experts Join a global network of experts contributing to advanced AI tools Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project. Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce. xevrcyc Remote working/work at home options are available for this role.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As the Listing Quality lead within the Brand Data Science team, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will mentor and guide the work of more junior Data Scientists, while also executing as an individual contributor. You will define the ML roadmap and be the Data Science lead within the cross-functional Listing Quality pod, working with product, design, engineering, analytics, and operations to solve problems end-to-end. What you'll do * Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire's product listings. * Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy. * Mentor and guide the work of more junior Data Scientists. * Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences. Qualifications * 5+ years of industry experience using machine learning to solve real-world problems * Experience with relevant business problems (e.g. e-commerce) * Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning) * Strong programming skills * An excitement and willingness to learn new tools and techniques * Demonstrated ability to mentor Senior Data Scientists, develop team strategy, and independently lead model development * Strong communication skills and the ability to work in a highly cross-functional team Great to Haves: * Master's or PhD in Computer Science, Statistics, or related STEM fields is highly recommended * Previous experience in listing quality for e-commerce * Previous experience in supervised fine tuning of multi-modal LLMs * Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact Salary Range San Francisco: the pay range for this role is $224,000 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire * We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. * We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. * We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. * We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

About the Staff Data Scientist role at Headspace: We are looking for an experienced and strategic Staff Data Scientist to join our Data team. In this role, you will lead the measurement and delivery of insights and actionable recommendations that drive performance improvements in key areas such as enrollment, activation, engagement, retention, and member outcomes. You will conduct statistical analysis and develop data science solutions to drive data-driven decision making across marketing, product, content across channels. As a senior leader, you will work closely with cross-functional partners, including Engineering, Product Design, Product Management, Product Marketing, and Operations, to influence the planning, development, launch, and growth of our Channel offerings. This is a highly visible role that requires exceptional analytical expertise, strategic thinking, and the ability to translate business priorities into impactful analytics initiatives. By driving data-driven decision-making, you will play a pivotal role in helping us achieve our mission of providing everyone with access to lifelong mental health support. Location: We are currently hiring this role in the following locations: Hybrid in our San Francisco office, working 3 days per work from the office Remotely in New York City, New York Remotely in Seattle, Washington Candidates must currently permanently reside in the US full-time and be based in these specific cities. What you will do: Strategic Leadership: Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. Cross-Functional Partnership: Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks. Recommend and implement actionable insights that drive measurable results. Analytical Expertise: Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, data science approaches, and financial impact analysis, ensuring best practices are followed. Problem Solving: Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies. Process Automation: Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency. Data Products Development: Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders. Visionary Collaboration: Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks. Project Ownership: Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact. What you will bring: Required Skills: 8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments. 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals. 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization. 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact. 4+ years of progressive experience in healthcare analytics (preferred).8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark). Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel. Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics. Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field. Location: We are currently hiring this role Hybrid for San Francisco (SF). Candidates must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team-one that's redefining how mental health care supports people today and for generations to come. Why You'll Love Working Here: A mission that matters-with impact you can see and feel A culture that's collaborative, inclusive, and grounded in our values The chance to shape what mental health care looks like next Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the E-Verify Program . Privacy Statement All member records are protected according to our . Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship-including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: ****************************************** #LI-HYBRID

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Data Scientist at Nextdoor, you'll Collect, organize, interpret, and analyze statistical and behavioral data to support the design, improvement and scaling of Company's core products. In this role, you'll Develop and execute A/B tests and other experimentation frameworks to evaluate the impact of product changes on key metrics such as engagement and retention. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The Impact You'll Make If you want the challenge of fast-paced growth, the satisfaction of seeing your design work come to life, and the pride in helping grow a world-class design team, this is the place for you. Your responsibilities will include: Communicate insights through advanced data visualization to influence strategic decision-making and product roadmaps Conduct causal inference studies to deeply understand Company's user behavior, engagement patterns, dynamics of local communities, and acquisition pattern Partner with cross-functional teams (including Product, Engineering and User Experience Research teams) to identify opportunities, solve complex problems, and inform the development of features that foster meaningful neighbor-to-neighbor connections Apply statistical methods, machine learning, and quantitative analysis to conduct exploratory analysis, develop predictive models, and inform operational strategies Apply data mining and data modeling to extract and analyze information from large structured and unstructured datasets Build scalable data solutions, including Extract, Transform, Load (ETL) pipeline and distributed data systems, to process and analyze large and complex datasets efficiently What You'll Bring To The Team Master's degree or foreign equivalent in Computer Science, Information Systems, Business Analytics, Engineering, or closely related quantitative discipline 3 years of experience in the position offered, as a Data Scientist, or closely related position in data sciences In the alternative, will accept a Bachelor's degree in the fields above followed by five (5) years of progressive, post-bachelor's experience in positions specified above Must have experience in the following: Designing and assessing A/B experiments accurately to evaluate the impact of product and feature updates, providing data-driven insights to guide strategic decision-making; Conducting deep analysis utilizing scripting languages, such as Python into user behavior, product features and content ecosystem, generating actionable business insights for strategic improvement initiatives; Developing a metrics framework to assess product health, monitored core metrics, and analyzed the underlying causes of metric fluctuations; Designing, building, and deploying scalable, reliable ETL pipelines and dashboards, along with processing frameworks to efficiently analyze large and complex datasets using SQL; Leveraging statistical methods, quantitative analysis, and machine learning to conduct in-depth analyses and deliver key strategic insights; and Partnering with engineers and product stakeholders to solve ambiguous business problems with structured analytics framework and deliver product insights and strategy Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography. The starting salary for this role is expected to range from $194,834 - $236,000/year on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-DNI

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Work independently with cross functional teams to develop software and system requirements. Design, implement, and deploy state-of-the-art machine learning models. Monitor the performance of the auto-tagging system and drive continuous improvement. Lead team code quality activities including design and code reviews. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Provide technical guidance to team members. Skills Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Ability to build and productionize machine learning models and large-scale systems. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Ability to provide individual and team mentorship, including technical leadership for complex projects. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Demonstrated expertise in databases for data extraction, transformation, and analysis. Prior experience in mentoring and supporting junior engineers. Desirable Background in robotics or autonomous systems. Experience with multi-modal deep learning models, transformers, visual learning models (vLMs) etc. Experience with classifying driving maneuvers and traffic interactions using machine learning methods. Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Expertise in PySpark/Apache Spark for handling large-scale data processing. Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$167,000-$190,000 USD

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Data Scientist 4 at Nextdoor, you'll apply statistical methods, machine learning, and quantitative analysis to conduct exploratory analysis, develop predictive models, and inform operational strategies. In this role, you'll apply data mining and data modeling to extract and analyze information from large structured and unstructured datasets. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The Impact You'll Make If you want the challenge of fast-paced growth, the satisfaction of seeing your design work come to life, and the pride in helping grow a world-class design team, this is the place for you. Your responsibilities will include: Collect, organize, interpret, and analyze statistical and behavioral data to support the design, improvement and scaling of Company's core products Develop and execute A/B tests and other experimentation frameworks to evaluate the impact of product changes on key metrics such as engagement and retention Communicate insights through advanced data visualization to influence strategic decision-making and product roadmaps Conduct causal inference studies to deeply understand Company's user behavior, engagement patterns, dynamics of local communities, and acquisition pattern Build scalable data solutions, including Extract, Transform, Load (ETL) pipeline and distributed data systems, to process and analyze large and complex datasets efficiently Partner with cross-functional teams (including Product, Engineering and User Experience Research teams) to identify opportunities, solve complex problems, and inform the development of features that foster meaningful neighbor-to-neighbor connections What You'll Bring To The Team Master's degree or foreign equivalent in Computer Science, Information Systems, Engineering, or closely related quantitative discipline 3 years of experience in the position offered, as a Data Scientist, or closely related position in data sciences In the alternative, will accept a Bachelor's degree in the fields above followed by five (5) years of progressive, post-bachelor's experience in positions specified above Must have experience in the following: Utilizing advanced statistical methods and quantitative techniques such as clustering, regression, pattern recognition, and inferential statistics to conduct exploratory analysis, develop and improve predictive models, and provide actionable recommendations to optimize product initiatives and generate data-driven business strategies; Leveraging Python, SQL and statistical tools such as MATLAB, R, and SAS to analyze large, complex datasets through data mining, manipulation, analysis, and modeling, ensuring data reliability to drive business growth; Designing trustworthy experimentation and analyzing complex product A/B testing results to evaluate the effectiveness of product strategies and provide data-driven insights to guide decision-making; Designing, constructing, and deploying scalable ETL (extraction, transformation, and loading) pipelines and data processing frameworks to develop metrics and dashboards that drive data-informed product strategy; Leading the execution of key ecosystem strategies, including developing new capabilities like customer segment frameworks, to drive growth and optimize product performance; Utilizing advanced data analysis to generate strategic insights, assessing product team performance and impact to inform decision-making and guide improvements; Collaborating with cross-functional teams (product, design, engineering, marketing, and operations) to apply advanced analytics in support of product development, ensuring alignment with business goals; and Utilizing strong communication skills to simplify complex problems and present clear, compelling narratives to diverse audiences, including executives Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography. The starting salary for this role is expected to range from $214,000 - $225,000/year on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-DNI

SIXGEN's mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Data Scientist Job Type: Full Time Location: Annapolis Junction or Fort Meade, MD Clearance Requirements: TS/SCI with Full Scope Poly Travel: Up to 10% ABOUT THE TEAM SIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. In this position, you'll provide meaningful support to our customer's missions and operations. You'll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done. WHAT YOU'LL DO Support missions by applying advanced data science, machine learning, and statistical analysis to large-scale, mission-critical datasets. Design, develop, and maintain modular software solutions that integrate with distributed data processing frameworks in Linux-based environments. Rapidly prototype and iterate on data-driven tools and models to meet evolving operational and mission requirements. Utilize high-level programming languages (e.g., Python) and mid-level languages (e.g., C) to build scalable data solutions and custom analytics. Perform data mining, modeling, and assessment to extract actionable insights and enhance mission outcomes. REQUIRED QUALIFICATIONS US Citizen with the ability to obtain a TS/SCI w/ Full Scope Poly Proficiency in a high-level programming language such as Python, and experience with a mid-level language such as C. Strong foundation in machine learning, data mining, statistical analysis, and data modeling. Experience developing and maintaining modular software for use with large-scale data frameworks. Familiarity with Linux-based environments and shell scripting. Demonstrated ability to support missions through advanced data analysis and rapid prototyping. COMPENSATION & BENEFITS $120,000 - $200,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Additionally, SIXGEN offers top-tier benefits for full-time employees, including: Employer-paid health insurance premiums (medical, dental, vision) for you and your family Employer-paid short/long term disability insurance and basic life/AD&D insurance 401K with a 4% employer contribution Professional development reimbursement options available (training, certification, education, etc) Flexible and remote work policies for most positions Flexible PTO and holiday schedule OUR COMMITMENT SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class. We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work.

About the Role Houzz is looking for a world-class Data Scientist to join our Pro Data Science team. This team is focused on uncovering critical insights and delivering models to leverage those findings thus powering intelligent business decisions. As a Data Scientist here at Houzz you are on the front line of uncovering insights to directly impact product roadmap and revenue.What You'll Do Critical projects will focus on data-driven insights to guide product development and business direction Collaborate with leadership, product, data, and engineering teams to identify, define, and launch strategic and operational data science initiatives to influence product roadmap, set strategic directions and drive user engagement Define and manage the key metrics of the business and product efficiently Design product experiments, interpret results to draw detailed and impactful conclusions, and conduct root cause analysis Own the end-to-end execution of projects by working with a broad cross-functional team Work with data infrastructure/product engineering teams to define the data collection needs Provide recommendations to assist quick product ideation and feature launch decisions Develop and maintain data products to serve real-time business insights or to be used in production environments At a Minimum, We'd Like You to Have Bachelors/Masters Degree with 2+ years of experience working within an analytical role in a high-growth tech company Proficiency in writing complex SQL queries such as using aggregate functions and all types of joins using Hadoop, Hive and Presto. Strong programming skills in Python or R Strong in problem-solving and analytical thinking to take an open business question from exploratory data analysis to actionable insights and guided execution recommendations Proficiency in advanced experimental designing, testing, and analysis Strong communication, presentation, and interpersonal skills A passion for analytics and product development Self-motivated, independent, and eager to learn Ideally, You'll Also Have An advanced degree in a technical field such as Statistics, Operations Research, or Engineering Experience with subscription based analytics, web/app user engagement, and funnel conversion Ability to learn and act quickly, making decisions and drawing conclusions in the face of ambiguity Experience with statistical modeling Proficiency in using Tableau for visualization Experience working with remote teams with a time zone difference Compensation, Benefits and Perks This role has an annual starting salary range of $120,000 - $135,000. In addition to salary, you're eligible for competitive benefits that support you and your family as part of your total rewards package at Houzz. Also, depending on the role, you could be eligible for an equity award. Actual compensation is influenced by a wide array of factors, including, but not limited to, skills, experience, and specific work location. Benefits and perks include:- Flexible Paid Time Off (PTO)- Home internet stipend- Medical, dental, and vision benefits- Maternity/paternity leave program- Employee Assistance Program (EAP)- Professional Development Reimbursement Program- 401(k) retirement savings plans (Pre-Tax and Roth)- Flexible Spending Accounts (FSA) - Medical & Dependent Care- Health Savings Account (HSA) with company contribution - Healthy at Houzz program Houzz is an Equal Employment Opportunity employer. When applying for a role at Houzz, we guarantee your application will be considered regardless of your sex; race; color; gender; national origin; height or weight; ancestry; physical or mental disability; medical condition; genetic information; marital status; registered domestic partner status; age; sexual orientation; military and veteran status; or any other basis protected by federal, state or local law or ordinance or regulation. We embrace and celebrate the value that diversity brings to an organization. Diverse backgrounds and different points of view help Houzz provide the best experience for our community. Houzz is committed to fostering an inclusive environment through projects and initiatives, such as employee resource groups, that support Houzzers' efforts to be themselves and share their lives at work. If you would like assistance or an accommodation due to a disability, please email us at accommodations@houzz.com. This information will be treated as confidential and used only for determining an appropriate accommodation for the interview process. Houzz is an Equal Opportunity Employer. M/F/Disability/Veterans__________________ Be Who You Are and Do What You Love at Houzz About HouzzWhen founders Adi and Alon remodeled their home, they were frustrated by the lack of resources and inspiration to help them articulate a vision and select the right pro to make it a reality. So they built Houzz. Houzz is now the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners to update their homes from start to finish. Using Houzz, people can find ideas and inspiration, hire professionals, and shop for products. Houzz Pro (houzz.com/pro) provides home industry professionals with a business management and marketing SaaS solution that helps them to win projects, collaborate with clients and teams, and run their business efficiently and profitably. Our Mission and Core ValuesWe're proud to say there's no one quite like us. Houzz is a community-centric, innovative tech company that continues to disrupt the home renovation and design industry. Our mission-driven culture is rooted in our core values, and we're all here for one purpose: make the home remodeling and design process more fun and productive for everyone. Our MissionTo create the best experience for home renovation and design. Our Core Values We're a Community We put our community of Houzzers, industry professionals and homeowners first. We approach our work with care, humility and respect. We deliver value to our community through our products and services. We Build the Future We are visionaries who challenge the status quo. We are creative, innovative and curious. We embrace change and different ideas to drive our industry forward. We Make Things Happen We are solution-seekers and self-starters. We listen, move fast and empower our teams to deliver extraordinary results and products. We play to win. By applying for a job with us, you acknowledge and agree to the terms of our Job Applicant Privacy Notice. *Roles listing ‘Remote - US' as a location are not currently available in the following states: Alaska, Hawaii, Louisiana and Montana. #LI-Remote

Entefy's Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience:We're not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team's ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.Requirements Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred. 3+ years of applicable work experience. Demonstrable proficiency in Python, Scala, SQL, or R. Strong data visualization and reporting skills. Proven track record delivering high-value, advanced analytics. Experience leading the work of other data scientists or analysts is preferred. World-class ability to extract and communicate insights from real-world datasets. Startup agility and versatility. Visit ************** and **************/blog

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow. With 30,000 students and alumni from 700 colleges now working at 2,000 companies, we are reshaping the tech workforce and the industries of the future. About the Role Location: Remote, United States Role Type: Full-Time Reporting to: Lead Data Scientist Compensation: $90,000 to $130,000 per year CodePath is entering a pivotal stage of growth, building the data, analytics, and AI infrastructure that powers our learning platform and supports tens of thousands of students nationwide. We are looking for a highly capable and mission-driven Data Scientist to join our growing Measurement, Evaluation, and Learning (MEL) team and help shape this future. As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath's data and AI work. Key Activities Impact Measurement: Define, track, and analyze organizational impact, student outcomes, and program performance with MEL leadership Data Modeling & ML: Build and refine statistical and machine learning models for outcomes analyses, forecasting, and decision support Exploratory Analysis: Conduct deep exploratory analyses to surface trends, anomalies, and insights across large datasets Dashboards & BI Tools: Develop and maintain dashboards, reports, and visualizations (Tableau, streamlit, or similar) that translate complex results into clear, actionable insights Feature Engineering & Data Preparation: Partner with data engineering to develop reliable datasets and features that power modeling and analytics workflows Pipeline Support: Support and validate data pipelines to ensure analytical datasets remain accurate, consistent, and well-structured Cross-Functional Work: Collaborate with program, product, and operations teams to understand their data needs and translate them into well-defined analytical questions Documentation: Document analytical processes, models, and methodologies to ensure clarity, scaling, and reproducibility Continuous Improvement: Identify opportunities to enhance data quality, improve modeling processes, and expand MEL's modeling and reporting capabilities Key Success Metrics High-quality Analytical Assets: Produces dashboards, Quarto reports, and reusable modules that meet MEL standards, with 90%+ requiring no major revision Stronger Impact Measurement: Improves outcomes reporting and forecasting through validated datasets, models, and analyses Improved Data Quality & Reliability: Identifies and resolves data issues across pipelines and transformations in partnership with Data Engineering Meaningful Modeling Contributions: Builds statistical or ML models that improve decision-making through greater accuracy, clarity, or adoption Qualifications 3+ years of professional experience in data science, machine learning, analytics, or a related field Strong foundation in statistics, probability, and machine learning algorithms Proficiency with Python (pandas/polars, numpy, scikit-learn, TensorFlow or PyTorch) Strong SQL skills and experience working with large-scale datasets Experience with cloud platforms (GCP, AWS, or Azure) and deploying or maintaining data-driven applications Familiarity with data modeling concepts, data engineering workflows, and data pipelines Strong communicator able to present complex analyses clearly and accessibly Preferred Qualifications Experience with impact evaluation, education data, or social science research methods Exposure to dbt, Airbyte, FiveTran, or similar tooling Experience with experimental or quasi-experimental methods, causal inference, or A/B testing Ability to turn ambiguous problems into structured analytical approaches Proactive, collaborative mindset with enthusiasm for continuous learning Compensation CodePath has standardized salaries based on the position's level, no matter where you live. For this role, we're hiring for an Individual Contributor level position at an annual salary of $90,000 to $130,000. Salary is determined based on your relevant experience and skills as evaluated through our interview process. Comprehensive Benefits & Remote Work Perks This is a 100% remote position; you can work from anywhere in the U.S. CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance. Health & Wellness:Medical, dental, and vision insurance (90% employer-covered), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 - Jan 2) Professional Growth: $1,000 annual professional development stipend and home office setup support Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF) Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings Pay range$90,000-$130,000 USD

Lead the Future of Dentistry. Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we're looking for talented people to fulfill our mission: improve oral health for all. Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you. Simply put, there's no better place to accelerate your career. Come join us! The Role Overjet is looking for an experienced Staff Data Scientist of Product Analytics to join our Data & Analytics team. You'll work shoulder-to-shoulder with our data engineers, data analysts, product managers, and customer success teams to deliver for our customers. You'll take a leading role in defining how the company leverages product analytics to develop product strategy and gather product insights to better support internal and external stakeholders at scale. Responsibilities Collaborate with cross-functional teams (product, engineering, customer success, business) to define key product- and business-driven questions and translate them into analytical solutions, and deliver actionable insights to support business objectives. Utilize Python, SQL, BI tools, and analytic techniques to analyze large and complex data sets, identifying trends, patterns, and opportunities for optimization. Derive actionable insights from our data to provide recommendations to shape the product roadmap and convey the value story of our products to our customers. Collaborate with our data engineers on the construction and maintenance of data pipelines and ETL processes to ensure data integrity, quality, and observability. Create compelling data visualizations and products using tools like Sigma to effectively communicate findings to internal and external stakeholders and enable self-service dashboards and tools. Serve as a trusted advisor to external customers and develop and deploy external-facing data products and embedded analytics that enable customers to derive value from Overjet's unique data. Stay informed about industry trends and emerging technologies to ensure that our analytics capabilities remain cutting-edge. Collaborate with data analysts, data engineers, and product managers on data products, dashboards, and the company's data infrastructure. Create strong documentation and dictionaries to ensure users interpret KPIs and data in a consistent manner. Ability to thrive in a fast-paced, technical, and mission-focused environment. Qualifications Excellent academic background in a heavily quantitative and analytics-related field Significant experience with increasing levels of responsibility working in data analytics/data science Excellent technical proficiency in Python, SQL, and data transformation tools Strong familiarity with data visualization tools such as Looker, Sigma, Tableau, or Power BI Experience leading engagements with external customers on analytics projects, creating compelling data presentations, and mastery of working with senior leaders Excellent communication skills with the ability to translate complex technical concepts into easily understandable insights for non-technical stakeholders Strong problem-solving skills and attention to detail Experience working in SaaS, B2B software, and at a high-growth startup Healthcare experience is a plus Why Overjet? Competitive Compensation and Equity Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location 401k plans with a matching program Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered Life and AD+D Insurance 8 weeks Paid Parental Leave Optional HSA with Employer contribution Flexible Time Off and company paid holidays Annual Learning and Development Stipend Work from Home Stipend Our Hybrid Workplace We have a unique hybrid workplace at Overjet - which combines the teamwork of meeting in person, with the flexibility of working from anywhere. Many of our positions are based in San Mateo, New York City, Boston, Salt Lake City, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values Excellence: We set ambitious goals and strive for excellence. Velocity: We focus, act with urgency, and deliver results. Ownership: We take ownership, dive deep and solve problems. Win-win: We play to win, setting ourselves and our customers up for success. Growth: We stay curious, seek feedback, and continuously learn and grow. Company Recognition Honored as one of the 2025 Best Places to Work by Built In and 2024 Best Places to Work by Built In Named one of the TIME Best Inventions of 2024 Recognized in Newsweek 's Most Loved Workplaces in America 2024 Won the Dental Health category at the Digital Health Awards 2024 Recognized as one of the Top Startups of 2023 by LinkedIn Named one of the 2023 World's Most Innovative Companies by Fast Company Included on the definitive 2022 Forbes AI 50 Featured in Bloomberg , Forbes , Fast Company , and TechCrunch EEOC Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! If you are a Colorado resident: Please contact us by emailing ********************* to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end. What you'll do * Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire's product listings. * Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy. * Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences. Qualifications * 3+ years of industry experience using machine learning to solve real-world problems * Experience with relevant business problems (e.g. e-commerce) * Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning) * Strong programming skills * An excitement and willingness to learn new tools and techniques * The ability to design and implement ML solutions without supervision * Strong communication skills and the ability to work in a highly cross-functional team Great to Haves: * Master's or PhD in Computer Science, Statistics, or related STEM fields is highly recommended * Previous experience in listing quality for e-commerce * Previous experience in supervised fine tuning of multi-modal LLMs * Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact Salary Range San Francisco: the pay range for this role is $192,000 to $264,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire * We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. * We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. * We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. * We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits. You'll also contribute to growing Faire's retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value. You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data. Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there! What you'll do * Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable. * Underwriting: Improve Faire's Net terms portfolio by evaluating creditworthiness of retailers on Faire's platform. Use predictive modeling to dynamically assign credit terms limits that minimize default risk and maximize growth. * Retailer Growth & Lifecycle: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content. Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend. Qualifications * An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc. * Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) * Strong programming skills (Python, Java, Kotlin, C++) * Knowledge of statistical techniques such as experimentation and causal inference * SQL or other database querying experience preferred * An excitement and willingness to learn new tools and techniques Salary Range California: the pay range for this role is $192,000 to $264,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire * We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. * We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. * We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. * We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises - including DoorDash, Flexport, and Compass - use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex The Data team turns information into advantage. We design infrastructure, develop models, and deliver insights that power smarter decisions across Brex. Our scientists and engineers are embedded across product, engineering, risk, operations, and business teams - building data products, improving customer experiences, and shaping high-impact strategies. We treat data as a product, and ownership runs deep. If you're excited by complexity and want your work to drive decisions at scale, this is your team. What You'll Do As a Senior Data Scientist focused on Product Analytics, you will work closely with Product, Engineering, and Customer Success teams to understand the interactions between product engagement, customer retention, and overall customer growth. Your work will play a critical role in shaping strategic product decisions by uncovering insights into how customers interact with Brex's platform, identifying opportunities to refine the product experience, optimize user workflows, and introduce impactful changes that increase long-term customer value and drive sustainable revenue growth. The ideal candidate has significant experience leveraging product intuition and advanced analytics to understand customer behavior, measure product impact on revenue retention and growth, and derive insights through causal inference and predictive modeling. They should also have a strong ability to influence product and business strategy by translating data insights into actionable recommendations. Where you'll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in the office - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities: Lead the development and application of data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value. Build, implement, and evaluate predictive models and experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement. Act as a thought partner to Product, Engineering, and Customer Success leadership, identifying and prioritizing opportunities for improving customer engagement and long-term retention. Collaborate with Data Engineering to ensure scalable, reliable data pipelines that support product analytics and reporting. Communicate findings, insights, and strategic recommendations clearly and persuasively to executives, product leaders, and cross-functional stakeholders. Mentor junior data scientists and contribute to building best practices across the Data Science Requirements: Master's degree or Ph.D. in Statistics, Economics, Applied Mathematics, or a related quantitative field. 5+ years of experience in a data science, analytics, or related role with a focus on product analytics. Strong expertise with SQL and Python (or R) for data analysis and modeling. Deep proficiency in causal inference and predictive modeling. Demonstrated ability to influence senior stakeholders and translate complex data insights into strategic business recommendations. Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices. Excellent problem-solving skills and ability to thrive in a fast-paced, cross-functional environment. Bonus Points: Experience working in B2B SaaS or fintech. Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value. Familiarity with product analytics tools (e.g., Amplitude, StatSig). Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises - including DoorDash, Flexport, and Compass - use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex The Data team turns information into advantage. We design infrastructure, develop models, and deliver insights that power smarter decisions across Brex. Our scientists and engineers are embedded across product, engineering, risk, operations, and business teams - building data products, improving customer experiences, and shaping high-impact strategies. We treat data as a product, and ownership runs deep. If you're excited by complexity and want your work to drive decisions at scale, this is your team. What You'll Do As a Senior Data Scientist focused on Product Analytics, you will work closely with Product, Engineering, and Customer Success teams to understand the interactions between product engagement, customer retention, and overall customer growth. Your work will play a critical role in shaping strategic product decisions by uncovering insights into how customers interact with Brex's platform, identifying opportunities to refine the product experience, optimize user workflows, and introduce impactful changes that increase long-term customer value and drive sustainable revenue growth. The ideal candidate has significant experience leveraging product intuition and advanced analytics to understand customer behavior, measure product impact on revenue retention and growth, and derive insights through causal inference and predictive modeling. They should also have a strong ability to influence product and business strategy by translating data insights into actionable recommendations. Where you'll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in the office - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities: Lead the development and application of data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value. Build, implement, and evaluate predictive models and experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement. Act as a thought partner to Product, Engineering, and Customer Success leadership, identifying and prioritizing opportunities for improving customer engagement and long-term retention. Collaborate with Data Engineering to ensure scalable, reliable data pipelines that support product analytics and reporting. Communicate findings, insights, and strategic recommendations clearly and persuasively to executives, product leaders, and cross-functional stakeholders. Mentor junior data scientists and contribute to building best practices across the Data Science Requirements: Master's degree or Ph.D. in Statistics, Economics, Applied Mathematics, or a related quantitative field. 5+ years of experience in a data science, analytics, or related role with a focus on product analytics. Strong expertise with SQL and Python (or R) for data analysis and modeling. Deep proficiency in causal inference and predictive modeling. Demonstrated ability to influence senior stakeholders and translate complex data insights into strategic business recommendations. Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices. Excellent problem-solving skills and ability to thrive in a fast-paced, cross-functional environment. Bonus Points: Experience working in B2B SaaS or fintech. Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value. Familiarity with product analytics tools (e.g., Amplitude, StatSig). Compensation The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Entefy's Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience:We're not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team's ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.Requirements: Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred. 5+ years of relevant experience. Demonstrable proficiency in Python, Scala, SQL, or R. Strong data visualization and reporting skills. Expertise in extracting insights from real-world structured and unstructured datasets. Proven track record delivering high-value, advanced analytics. Experience leading the work of other data scientists or analysts is preferred. Strong communication skills Startup agility and versatility. Visit ************** and **************/blog

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.