Data Scientist jobs at Airtable

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

Job Title: Senior Software Engineer / Quant Developer (JG4 Level) Duration: Long-term contract with possibility of extension The Senior Data Engineer will design and build robust data foundations and end-to-end data solutions to enable the business to maximize value from data. This role plays a critical part in fostering a data-driven culture across both IT and business stakeholder communities. The Senior Data Engineer will act as a subject matter expert (SME), lead solution design and delivery, mentor junior engineers, and translate Data Strategy and Vision into scalable, high-quality IT solutions. Key Responsibilities Design, build, and maintain enterprise-grade data foundations and end-to-end data solutions. Serve as a subject matter expert in data engineering, data modeling, and solution architecture. Translate business data strategy and vision into scalable technical solutions. Mentor and guide junior data engineers and contribute to continuous capability building. Drive the rollout and adoption of Data Foundation initiatives across the business. Coordinate change management, incident management, and problem management processes. Present insights, reports, and technical findings to key stakeholders. Drive implementation efficiency across pilots and future projects to reduce cost, accelerate delivery, and maximize business value. Actively contribute to community initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP). Collaborate effectively with both technical teams and business leaders. Key Characteristics Highly curious technology expert with a continuous learning mindset. Strong data-domain expertise with deep technical focus. Excellent communicator who can engage both technical and non-technical stakeholders. Trusted advisor to leadership and cross-functional teams. Strong driver of execution, quality, and delivery excellence. Mandatory Skills Cloud Platforms: AWS, Azure, SAP - Expert Level ELT: Expert Level Data Modeling: Expert Level Data Integration & Ingestion Data Manipulation & Processing DevOps & Version Control: GitHub, GitHub Actions, Azure DevOps Data & Analytics Tools: Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Optional / Nice-to-Have Skills Experience leading projects or running a Scrum team. Experience with BPC and Planning. Exposure to external technical ecosystems. Documentation using MkDocs.

About Us Longbridge Securities, founded in March 2019 and headquartered in Singapore, is a next-generation online brokerage platform. Established by a team of seasoned finance professionals and technical experts from leading global firms, we are committed to advancing financial technology innovation. Our mission is to empower every investor by offering enhanced financial opportunities. What You'll Do As part of our global expansion, we're seeking a Data Engineer to design and build batch/real-time data warehouses and maintain data platforms that power trading and research for the US market. You'll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services. Responsibilities: Design and build batch/real-time data warehouses to support the US market growth Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability Build a unified data middleware layer to reduce business data development costs and improve service reusability Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions Discover data insights through collaboration with the business owner Maintain and develop enterprise data platforms for the US market Qualifications 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala) Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL) Strong cross-department collaboration skills to translate business requirements into technical solutions Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields Comfortable working in a fast-moving fintech/tech startup environment Bonus Point: Experience with DolphinScheduler and SeaTunnel is a plus

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 (******************************

#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

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

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: 8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$228,800-$286,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Superhuman team members for this role must be based in the San Francisco Bay Area. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we're looking for experienced Data Scientists to join our Product and Growth Data Science teams. At Superhuman, Data teams are trusted subject matter experts who uncover new insights to inform marketing, product, and growth strategies that drive outcomes at the highest levels of the company. We have large datasets and are seeking individuals with excellent technical and analytical skills who can break down complex business problems and provide solutions with high visibility and impact for the company. Growth Data Scientists partner closely with our product, engineering, growth, and/or lifecycle marketing stakeholders. They are responsible for designing and overseeing product experiments, as well as conducting complex analyses to inform product strategy through advanced analytics and machine learning. The ideal candidate will have a strong track record of delivering impactful analytical projects within the Growth domain and partnering with cross-functional peers to guide and influence decision-making. Product Data Scientists are responsible for evaluating the quality of the Superhuman products, end-to-end, from the usefulness and accuracy of our text suggestions to the stickiness of new AI features and user experiences and interfaces. Product Data Scientists serve as trusted experts for our team of product managers and product leaders to help drive product strategy based on data. They work with the PMs, engineering managers, software engineers, designers, ML engineers, and UX researchers who build new features and improve existing ones to ensure that our product development efforts are data-driven and that we are experimenting rapidly and effectively. This role provides an opportunity for ownership over important parts of the Superhuman product experience and broad cross-functional collaboration opportunities with our growth, ML/AI, and enterprise data science teams. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs-and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. As a Data Scientist, you will: Partner closely with growth product, engineering, design, growth, and lifecycle marketing teams. Build new metrics that deliver insights and expand our understanding of our users. Mine large datasets to uncover patterns across our users' behaviors, enabling new marketing touchpoints. Design and run experiments to improve the user experience across our user lifecycle. Optimize marketing across our email, in-product, and push channels to ensure we send relevant, timely, personalized touchpoints to our users. Guide your stakeholders' decisions and roadmaps with informative, evidence-based decision-making. Take on a broad and challenging scope of work in a rapidly evolving company. Drive impact through statistical methodologies, algorithms, and measurement frameworks. Collaborate with other data scientists to continue improving the methodologies and practices used across the team, leveraging the latest technological developments in the industry. Develop causal inference and machine learning models that deepen user insights and drive engagement, retention, and feature adoption. Qualifications 5+ years of relevant work experience with a proven track record of applying data science methods that drive impact. Fluency in Python and SQL with strong data exploration and manipulation skills. Has a firm grasp on how to best dig into and analyze datasets that influence the product roadmap. Strong understanding of statistical methods, including causal inference, to support data-driven decision-making. Is well-versed in hypothesis A/B testing as well as exploratory methods, and can translate business questions into sound experimental frameworks and measurement plans. Experience building causal inference models in the product or growth domain. Has a self-starting growth mindset and strong communication skills, translating technical insights into impactful business recommendations. Is a creative problem-solver who simplifies problems to their core elements. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Ability to collaborate in person in the San Francisco hub. Compensation and Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. Zone 1: $225,000 to $275,000 USD We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada). #LI-Hybrid

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit *********************** Role Overview We are seeking a Fraud Data Scientist to gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me's fraud strategy. If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you. Responsibilities Partner with fraud leadership and fraud investigators to develop our fraud strategy Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates Leverage data analytics evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me network Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams Recommend and build automated rules and models to support the detection and prevention of fraudulent activity Use signals and data collected by member interactions with the ID.me network to identify the use of stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO) Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes Build strong relationships with key partners and the leadership Basic Qualifications 2+ years of hands-on experience in fraud analytics or a high-tech mature startup 1+ years of experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras MS in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related) Preferred Qualifications Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc. Experience with Time Series Prediction models & one or more deep learning libraries Experience in developing, managing, and manipulating large, complex datasets Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities Ability to work independently and autonomously, as well as part of a team Superb time management, prioritization of tasks and ability to meet deadlines with little supervision This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range$130,000-$188,000 USDMountain View, CA Pay Range$158,000-$212,000 USD ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

#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 will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You'll Make Feed is a mission-critical surface within our platform - helping neighbors discover meaningful content through an intuitive interface and surfacing the right content through intelligent ranking. As a Data Scientist on the Feed team, you will partner with Analytics Engineers to advance our data foundation, collaborate with our cross-functional teams to develop and execute product roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team. We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-centric culture. This person will work closely with various cross-functional teams, such as product, engineering, and design, to develop and deliver metrics, analyses, solutions, and insights. Successful candidates will demonstrate technical acumen, product expertise, and business acumen, and be enthusiastic about making a positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. Your responsibilities will include: * Partner with cross-functional teams - including product management, design, engineering, research - to support product development efforts * Experiments: design and measure experiments to inform feature decisions * Develop key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy * Build scalable metrics and dashboards to empower efficient decision-making at Nextdoor * Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises * Build in-person relationships with team members and contribute to Nextdoor's company culture What You'll Bring To The Team * 3-5 years of data science and product analytics experience * BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc. * Experience in designing trustworthy experimentation and analyzing complex product a/b testing results * Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports * Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn * Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives * Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies * Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for the San Francisco, CA area is expected to range from $175,000 to $203,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. 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.

Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Purpose of the Job Data Scientist leads and drives advanced AI initiatives within the organization. By leveraging advanced statistical methods, machine learning, and programming, the Data Scientist is responsible for designing and implementing complex AI solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Data Scientist ensures efficient workflows, automates processes, and effectively communicates insights to stakeholders, aiming to enhance productivity, strategic decision-making, and overall business success. Job Description Responsibilities & Accountabilities Lead the design and development of complex AI solutions, employing advanced techniques to optimize algorithms and data sets for superior performance. Design and implement experiments to rigorously evaluate AI solution performance and provide valuable insights for refinement. Develop detailed AI solution requirements and effectively manage the development process, adapting to changing circumstances and requirements. Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances. Stay updated with the latest trends and advancements in AI technology, incorporating newfound knowledge into solution design and development. Apply mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights. Develop novel modeling techniques and algorithms, utilizing advanced methodologies like Bayesian inference, reinforcement learning, and causal inference. Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning. Develop models that inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques. Align business objectives with innovative data science solutions, proactively identifying opportunities for data-driven insights and product innovations. Develop and implement advanced AI models, utilizing techniques like transfer learning, ensemble methods, and neural networks for complex problem -solving. Design and implement efficient workflows, automate data -related tasks, and lead process improvement initiatives to enhance productivity and data accuracy. Lead product development efforts, demonstrating an understanding of the business model and leveraging data for product decision-making and roadmap planning. Ethical Product Development: Understand and consider the ethical and legal implications of data-driven products and solutions, ensuring responsible and compliant development practices. Performance Measurement AI Solution Effectiveness: Measure the effectiveness of AI solutions developed by assessing their impact on solving complex business problems. Model Performance and Optimization: Evaluate and optimize machine learning models to ensure they meet predefined performance metrics and business objectives. Innovative Solutions Impact: Assess the impact of innovative data science solutions on driving insights, product offerings, and business growth. Efficiency and Productivity: Evaluate the efficiency and productivity improvements achieved through process automation and optimization. Stakeholder Communication: Assess the effectiveness of communication and collaboration with stakeholders in delivering successful AI solutions. Adaptability and Learning: Measure adaptability to changing requirements and the ability to quickly learn and apply new technologies and methodologies. Product Alignment and User Impact: Evaluate the alignment of data -driven products with business goals and their impact on improving user experiences and satisfaction. Ethical and Legal Compliance: Monitor compliance with ethical and legal standards in the development of data-driven products and solutions. Educational and Experience Requirements Ph.D. or Master's in Computer Science, Data Science, or related field. 5+ years in data science, machine learning, and AI, with progressive tech leadership roles. Strong Python, R, SQL, and advanced statistical and ML techniques. Designing tailored ML models, optimizing algorithms, and AI solution deployment. Designing efficient workflows, automation, and process improvements. Exceptional communication and leadership skills, managing data science teams. Driving innovation, staying updated with emerging tech, and ensuring ethical compliance. Effective collaboration, adaptability to changing requirements and circumstances. Competencies and Behaviors Strong advanced statistical methods, machine learning, and programming languages (Python, R, SQL). Innovative Problem-Solving: Proactive in identifying innovative data -driven insights, leveraging cutting-edge technologies, and challenging existing approaches. Expertise in designing and deploying complex AI solutions, optimizing algorithms, and integrating models effectively. Proficient in automating workflows, improving processes, and enhancing efficiency in data collection, cleaning, analysis, and reporting. Strong communication skills to convey complex insights to stakeholders and effective leadership in managing data science teams. Willingness to stay updated with emerging trends, methodologies, and technologies, and adapt to changing requirements in the field. Understanding and adherence to ethical and legal implications related to data -driven products and solutions. Effective collaboration with cross-functional teams and stakeholders, ensuring successful project delivery through teamwork. Demonstrated contributions through research publications and thought leadership in the data science domain. Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making. Understanding and integrating user needs and experiences into product development, using data to drive user-centric decisions. Ability to adapt to changing requirements and circumstances, ensuring the successful delivery of AI solutions in dynamic environments. Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals. Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity. Base Salary Range: $133,687.50 - $178,250.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We'll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to ***************. We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to ***************

Our healthcare system remains frustratingly analog. When you live in a world of one-tap car rides, instant meal delivery, and unlimited streaming, why do you still have to call to schedule a doctor's appointment and fill out a clipboard in the waiting room? NexHealth's mission is to accelerate innovation in healthcare by connecting patients, providers, and developers. We're building the infrastructure layer for modern healthcare, connecting thousands of fragmented, on-premise, and closed EHR systems into a single, modern platform that powers software, APIs, payments, and patient experiences across the ecosystem. Founded: 2017 Headquarters: San Francisco, CA Funding: $177M Series C Employees: 200+ Trusted by tens of thousands of providers and hundreds of health-tech developers - forging the infrastructure layer that modern healthcare needs About the Role We're looking for a Staff Data Scientist who wants to build. You will design NexHealth's financial data foundation from the ground up: the pipelines, models, and dashboards that power revenue reporting, forecasting, and decision-making across the company. This is a zero-to-one role where you will move fast, ship scalable systems, and apply first-principles thinking to every modeling decision. If you love combining engineering with analytical depth, this is your canvas. What You'll Do 7+ years of experience in data science, analytics engineering, or equivalent quantitative roles within SaaS or technology companies. 3+ years building or maintaining financial data systems using Snowflake, dbt, and a BI tool such as Sigma, Looker, or Tableau. Demonstrated experience modeling SaaS metrics (ARR, churn, CAC payback, retention, LTV) using SQL and a programming language such as Python or R. Experience designing and automating data pipelines using APIs from Stripe, Chargebee, Salesforce, or similar platforms. Hands-on experience implementing data quality testing, CI/CD, and version control practices for analytics. Proven ability to translate quantitative insights into actionable recommendations for executive or product leadership. Bachelor's degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, or a related technical field. A builder mindset: excited by blank slates, scaling impact through automation, and simplifying complexity through systems. What You'll Bring At least seven years of experience in data science or analytics engineering at a high-growth SaaS company, ideally where you built foundational systems Strong skills with modern data stacks such as Snowflake, DBT, and Sigma (or similar BI tools) Deep understanding of SaaS financial metrics such as ARR, churn, retention, lifetime value, and CAC payback, and how to model them in SQL and code Experience designing automated data pipelines and forecasting systems using APIs from tools like Chargebee, Stripe, or Salesforce Solid engineering instincts, including version control, testing, and CI/CD for analytics Strong communication and storytelling skills that connect insights to decisions A builder mindset: excited by blank slates, scaling impact through automation, and simplifying complexity through systems Benefits Full Medical, Dental, and Vision (up to 100% covered) 401K and commuter benefits Flexible PTO High-impact work that directly improves the healthcare experience for millions Our Values Solve the customer's problems, not yours When making decisions, think from the perspective of the customer. It's easy to make decisions that make our lives simpler, but not the customers. Do the things others are not willing to do As a Nexer, always go after the hardest problems. Pursue things at the highest quality. Move at the fastest pace. Take ownership Act like a founder. Own your roles, destinies, mistakes, behavior, and our mission. The buck stops with each of us - no blaming or excuses. Say what's on your mind, with positive intent Be direct, proactive, transparent, and frequent in your communication. Default trust As a Nexer, you do not have to earn trust, trust is given to you by default. If we by default trust each other, our speed of communication, feedback, information sharing, and overall improvements will be a lot faster. Think in first principles We first identify the problem and then break it down to its fundamentals before diving into solutions. We constantly ask “why” to validate our assumptions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodation for individuals with disabilities to participate in the application or interview process. Contact ******************** to request assistance.

Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting-edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable-comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting-edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable-comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

Data Science is at the core of Online's business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are. We will be happy if you join our work So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! Location This role will be based in the United States (Remote).

Bachelors Degree in a quantitative field required with minimum of 1 year of experience; Masters degree preferred. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts and experience with applications. Ability to write clean and concise code, especially in R or Python. Keen eye for detail and thoughtful investigation of data before relying upon it. Ability to work in a professional, confident manner. Sound prioritization and time management skills. Intuition for data science best practices, stemming from proven experience.

Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis Support identification of key indicators both for compliance and effectiveness critical to mission/business success Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team's mission is to fuel Airtable's growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions. We are looking for a Data Scientist to work directly with Airtable's business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success. What you'll do * Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices. * Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.. * Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight. * Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products. * Strong Communication Skills: Effectively communicate the "so-what" of an analysis, illustrating how insights can be leveraged to drive business impact across the organization. Who you are * Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. * Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders. * Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR) * Familiar with CRM platforms (i.e., Salesforce) * Technical Proficiency: * 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery * 6+ years of experience working with Python or R for analytics or data science projects * 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc. * Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran * Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design * Hands-on experience with batch LLM pipeline is preferred * Excellent communication skills to present findings to both technical and non-technical audiences. * Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.