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FleetPride is seeking a highly analytical, curious, and results-driven marketing data scientist to join our marketing team. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools. A critical focus of this position is solving the "Online-to-Offline" puzzle by developing sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers. You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride’s use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement. This role focuses on measurement, experimentation, and analytical decision partnership rather than day-to-day media buying or primary ownership of marketing-platform administration. Responsibilities • Experimentation & Measurement: Lead test design and analysis, including A/B testing, market selection, incrementality testing, media mix modeling, holdout design, and final readouts to measure business impact., • Business Partnership: Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions., • Reporting and Analytics: Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV, unit economics and contribution metrics across both customer acquisition and retention., • Data & Platform Integration: Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQuery and advertising platforms for analysis, measurement, and decision-making., • Predictive & Analytical Modeling: Develop and adapt predictive, statistical, and optimization models to support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance., • AI & Advanced Analytics: Apply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support., • Data Science Execution: Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions., • Insight Communication: Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations. Qualifications & experience • 3+ years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact., • Strong knowledge of statistical methods, hypothesis testing, regression analysis, causal inference, forecasting, and experimental design., • Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight., • Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments., • Proficiency in Python and SQL for data analysis, modeling, and workflow development., • Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments., • Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts., • Comfort collaborating with IT on tracking and data pipelines, including server-side tracking, conversion APIs, and Online-to-Offline measurement., • Experience translating ambiguous business questions into structured analytical plans and practical solutions., • Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-based measurement and optimization models., • Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders., • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred. PREFERRED QUALIFICATIONS • Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations., • Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics., • Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue., • Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs., • Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments., • Experience with AI tools and/or machine learning systems in real-world business settings., • Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools. About FleetPride FleetPride is the nation's largest distributor of truck and trailer parts and service in the independent heavy duty aftermarket. Our network includes retail, service, distribution, and wholesale divisions, all working together to deliver unmatched value to our customers.

To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing agencies. Any OCC employee wishing to submit a referral must do so through their Workday account. Any resume submitted outside of an active job posting will not be considered for employment. What You'll Do: Provide strong support for the availability and performance of OCC's next generation Ovation platform. Enhance system reliability and developer productivity through automation. Provide guidance to development, platform teams, in the areas of cloud technologies, application profiling and monitoring, logging, metrics collection and analysis. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. * Collaborate with development, operations and infrastructure teams to ensure availability of services, and to work through implementation issues * Develop automation for incident response and to prevent problem recurrence * Create and enhance runbooks to respond to service outages or degradations * Assess the production readiness of services * Define and track operational metrics for production performance, reliability, scalability and availability * Architect, develop and maintain shared services and tools to improve reliability and reduce toil across the organization * Contribute to the team's continuous improvement through research, retrospectives, discussion groups and code reviews * Influences timelines and expectations amongst the team * Provide knowledge by guiding and mentoring junior members, and preparing stories for the sprint backlog Supervisory Responsibilities: None Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. * [Required] Experience with maintaining and troubleshooting large-scale distributed systems * [Required] Experience with Agile / Scrum methodology * [Required] Able to succeed in fast-paced environment with frequent changes * [Required] Comfortable communicating with both technical and non-technical audiences * [Required] Strong documentation skills * [Required] Analytical problem-solving approach * [Required] Self-starter - takes the initiative to research, learn and deliver. Anticipates the play * [Required] Team player - humble, collaborative, and focused on making sure the entire team succeeds Technical Skills: * [Required] Experience managing infrastructure in public cloud environments like AWS (preferred), Azure or GCP * [Required] Experience with AIOps and predictive analysis for anomaly detection, forecasting system capacity using monitoring and alerting tools like Splunk, AppDynamics, Datadog, StackDriver, Sysdig, Prometheus or Grafana * [Required] Programming/scripting experience in languages like Java, Bash, Python or Go * [Required] Experience with distributed messaging systems like Kafka, RabbitMQ, or ActiveMQ * [Required] Experience with container orchestration systems like Kubernetes, Mesos, Docker Swarm or Rancher * [Required] Experience with using Continuous Integration and Continuous Delivery (CI/CD) tools like Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline * [Required] Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, or even creating and maintaining AI workloads. * [Required] Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, data analysis or even creating and maintaining AI workloads. * [Required] Basic exposure to Chaos Engineering tools like, Gremlin, Chaos Monkey, Harness Chaos Engineering, or cloud-native fault injection services like AWS FIS. Education and/or Experience: * [Required] Bachelor's or Master's Degrees in Computer Science, Information Systems or other related field, or equivalent work experience * [Required] Minimum of 4+ years of experience in Site Reliability Engineering / DevOps Certificates or Licenses: * None Required About Us The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at . Benefits A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include: • A hybrid work environment, up to 2 days per week of remote work, • Tuition Reimbursement to support your continued education, • Student Loan Repayment Assistance, • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely, • Generous PTO and Parental leave, • 401k Employer Match, • Competitive health benefits including medical, dental and vision Visit ___ for more information. Compensation • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education., • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer., • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on ___, • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed. Salary Range $122,100.00 - $198,300.00 Incentive Range 8% to 15% This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance. Step 1 When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume. Step 2 You will receive an email notification to confirm that we've received your application. Step 3 If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location. For more information about ___, please click ___. OCC is an Equal Opportunity Employer

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and data analytics background. This role is based out of Dallas Tx. Responsibilities: • Work on the latest applications of data science to solve business problems, • Work directly with client stakeholders to translate business problems into high level analytics solution designs, • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Responsible for managing analytics projects, collaborating with client stakeholders and Tiger’s team situated globally., • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights., • 3-6 years of professional work experience with at least 3 years in data analytics, • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach, • Solid understanding of statistical and machine learning algorithms, • Strong project management and team management skills and ability to work with global teams, • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau, • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus, • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description About the Job The Data Science team partners with marketing, analytics, and digital optimization teams to develop advanced analytical solutions that improve marketing effectiveness and customer engagement. This role focuses on applying statistical modeling, experimentation, and machine learning techniques to understand customer behavior across the marketing and digital customer journey. Insights generated from this work help guide marketing strategy, customer targeting, and investment decisions. The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models. Job Description We are seeking a Senior Data Scientist with strong statistical expertise to develop analytical frameworks, predictive models, and experimentation strategies that support marketing optimization and customer journey analysis. The role requires a strong understanding of statistical inference, causal analysis, and predictive modeling to help translate business questions into rigorous analytical solutions. The candidate should be comfortable working with large datasets, building scalable models, and communicating analytical insights to cross-functional teams. This position requires collaboration with marketing strategy, digital optimization, and analytics teams to ensure analytical insights are effectively integrated into business decision-making. Responsibilities • Develop statistical and machine learning models to analyze customer behavior across marketing and digital channels., • Conduct deep analytical investigations to identify drivers of customer acquisition, engagement, conversion, and retention., • Design and evaluate marketing experiments and A/B tests to measure campaign effectiveness and customer impact., • Apply causal inference techniques to distinguish correlation from true causal effects in marketing and customer data., • Translate business questions into statistical analysis frameworks and modeling approaches., • Connect analytical insights to business outcomes including revenue growth, marketing efficiency, and cost optimization., • Build scalable analytical pipelines using Python and SQL., • Query and analyze large datasets within Amazon Redshift., • Develop and deploy predictive models using AWS SageMaker., • Maintain version-controlled analytical workflows using AWS CodeCommit., • Collaborate with marketing, analytics, and engineering teams to ensure analytical solutions support business strategy and operational decision-making., • Master's degree in Statistics or a related quantitative discipline such as econometrics, applied mathematics, operations research, or data science., • Strong proficiency in Python for statistical analysis and modeling., • Strong proficiency in SQL for large-scale data querying., • Experience working with large datasets and advanced analytical methods., • Preferred experience includes:, • Experience in marketing analytics, customer analytics, or digital analytics., • Experience designing and evaluating A/B tests and controlled experiments., • Knowledge of causal inference methods and experimental design., • Experience building production-ready machine learning models., • Familiarity with AWS analytics and machine learning tools, including Amazon Redshift and AWS SageMaker., • 0-3 years experience, • Prefer candidates in West Coast or Mid-west

Job DescriptionTitle: Python Developer Location: Dallas, TX, Atlanta, GA or COlumbus, Oh Onsite Duration: 12+ Months Must be local only - within 40 miles area - Relocation will not work Any Visa - Except Gc/ GC EAD Min 12+ Years exp Job Description: Min 12 Years exp required Strong exp on Python Exp on AWS

Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents. You’ll work with a modern tech stack including Python, Azure OpenAI, Langchain, Postgres, Docker, Cursor, Git, Azure DevOps, React, and AI Agents to deliver high-value software to our

Mentor junior engineers and support a culture of continuous improvement. Contributions to open-source or active participation in engineering communities. Allocore building something big with a major federal client and are looking for engineers who want to do more than just ship code—you’ll help

The Senior Software Engineer develops, tests, and maintains applications using Python, Django, PostgreSQL, and Vue. Proficiency with Python, Django, PostgreSQL, and Vue.

We are looking for a Staff Data Engineer to help us design, build, and scale the data systems that power how Foley operates and grows. In this role, you will lead the development of robust data pipelines, shape our enterprise data architecture, and set the standard for how we model, govern, and access data across the organization. You will operate as a technical leader, influencing how teams think about data, enabling better decisions, and ensuring our systems are scalable, reliable, and built for the future. * Lead the design and evolution of our enterprise data architecture, contributing to our Enterprise Data Model (EDM) initiative * Define standards and best practices for data modeling, storage, and access across systems * Drive architectural decisions that balance scalability, performance, and maintainability * Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data warehouse * Ensure high data quality, reliability, and observability across all pipelines * Optimize data workflows for performance and efficiency * Own data warehouse schema design (e.g., dimensional modeling, normalization strategies) * Define and implement role-based access control (RBAC) and data governance best practices * Partner with stakeholders to ensure data definitions are clear, consistent, and trusted * Act as a technical expert and partner to Engineering, Product, Analytics, and Business teams * Influence decisions through strong communication, clear tradeoffs, and practical solutions * Raise the bar for data engineering practices across the organization * Identify opportunities to improve how we work through automation, tooling, and AI * Experiment thoughtfully with new approaches and scale what works * Continuously improve system design, development practices, and team effectiveness * Deep expertise in database architecture and distributed data systems * Strong experience building and maintaining ETL/ELT pipelines in production environments * Proven ability to design scalable data warehouse schemas and data models * Experience implementing data governance practices, including RBAC * Strong software engineering fundamentals (backend systems, data processing, reliability) * Ability to operate at a Staff level: driving technical direction and influencing across teams * Experience with Python, SQL, AWS, Redshift, Airflow * Experience building or supporting machine learning (ML) pipelines in production environments * Experience partnering with Data Science teams to develop and operationalize data products * Think in systems and tradeoffs, not just tools or implementations * Enjoy solving complex, ambiguous data problems and turning them into scalable solutions * Communicate clearly with both technical and non-technical stakeholders * Take ownership of outcomes and raise the bar for those around you * Are curious and proactive about using new tools, including AI, to improve how work gets done Location: This role is primarily remote (US-based) and operates in EST hours, with occasional travel for team collaboration and company events. This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Wisconsin. At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer. As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success. Benefits Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program. Equal Employment Opportunity Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic. Reasonable Accommodations If you require a reasonable accommodation during the application or interview process, please contact us at Employment Status Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Experience developing applications with Python,‬ Fargate, Lambda,OpenAPI,‬ Fargate, Lambda.

Strong backend development experience using enterprise-level languages such as Python, Ruby, Java, or C#, with a strong preference for Python and Django. As a Senior Full Stack Software Engineer (Python), you will contribute hands-on across the full application stack, delivering solutions that span

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. eSimplicity is seeking a skilled and motivated Data Scientist to join our data analytics team. In this role, you will support efforts to design and implement advanced statistical and AI/ML solutions focused on extracting actionable insights, evaluating model performance, and leveraging semantic analysis techniques to enhance product safety decision-making. This role emphasizes innovation, efficiency, interpretability in modern cloud data environments, and analytics to shorten time to action. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance. This position is contingent upon contract award. Responsibilities: • Apply semantic vibe coding efficiencies to uncover patterns and thematic insights from structured and unstructured data., • Translate complex data into clear, actionable narratives through data storytelling and visualization., • Design, implement, and maintain AI approaches (such as product similarity) and predictive models (such as supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition., • Conduct rigorous model evaluation using precision, recall, F1-score, AUC, and other performance metrics to ensure reliability and fairness., • Demonstrate an innovative mindset by exploring emerging technologies, creative approaches, and novel methodologies to solve complex problems efficiently., • Utilize modern efficiency tools and frameworks (e.g., GitHub Copilot, automated pipelines, CI/CD) to streamline development and deployment., • Optimize workflows for scalability in cloud environments (Azure)., • Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement., • Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals. Required Qualifications: • Bachelor’s degree, or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field., • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation., • 2+ years developing statistical and AI/ML models using leading-edge tools and best practices., • 2+ years building regression, classification, NLP, and other statistical/ML models for predictive analytics., • 2+ years hands-on experience with Python (such as Pandas, Scikit-learn, PyTorch/TensorFlow for deep learning)., • 2+ years working in modern cloud environments (Azure); certifications advantageous., • 2+ years experience with SQL for data manipulation and querying., • Proficiency in dashboard visualization tools (Power BI or equivalent)., • Proven ability to integrate semantic coding techniques into ML workflows., • Strong oral and written communication skills for data storytelling., • Demonstrated experience with Git-based version control and collaborative development., • Demonstrated ability to collaborate effectively within Agile teams, contributing to iterative development, shared problem-solving, and continuous improvement to deliver high-quality solutions., • Proven ability to manage time and prioritize tasks in a fast-paced environment., • Hands-on with responsible AI (fairness, explainability, privacy). eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability. Salary Description $83,000.00 - $113,100.00

We are seeking an experienced Data Scientist to join our team supporting U.S. Citizenship and Immigration Services operations. In this role, you will lead the design, development, and implementation of advanced predictive and time series forecasting models to inform operational decision-making. You will work with large-scale structured and unstructured datasets in SQL, Python, and Databricks, and deliver impactful insights through advanced analytics and compelling visualizations in Tableau or Power BI. The ideal candidate is proactive, innovative, and thrives in complex analytical environments. You bring deep expertise in forecasting, applied statistics, and machine learning, with the ability to translate technical findings into actionable recommendations for leadership. Analytica has been recognized by Inc. Magazine for 3 consecutive years as one of the 250 fastest growing businesses. We offer competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and a 401k match. Primary Responsibilities * Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges. * Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks environment. * Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results. * Design and deliver advanced dashboards and visualizations to communicate insights, forecasts, and scenarios to technical and non-technical stakeholders. * Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, and anticipate future trends. * Partner with program managers, analysts, and client stakeholders to frame research questions, design analytic studies, and present findings in a clear, actionable manner. * Document methodologies, ensure reproducibility of analyses, and contribute to analytic best practices across the team. * Mentor junior analysts and data scientists in best practices for data science, forecasting, and statistical modeling. Minimum Requirements * Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field (Master’s degree strongly preferred). * 5+ years of professional experience in data science or advanced analytics, with proven expertise in statistical modeling and forecasting. * Advanced proficiency in SQL and Python, with hands-on experience building and deploying time series and forecasting models (e.g., ARIMA, SARIMAX, Prophet, machine learning-based forecasting methods). * Experience with cloud-based platforms such as Databricks, Spark, or similar distributed data environments. * Strong data visualization skills with Tableau, Power BI, or equivalent. * Demonstrated ability to clean, manage, and optimize large, complex datasets. * Strong communication skills with the ability to present technical findings to non-technical stakeholders. * Must be a U.S. Citizen and able to obtain and maintain a Public Trust clearance. Preferred Qualifications * Graduate degree in Data Science, Statistics, or related field. * Experience applying forecasting and predictive analytics in federal government or immigration-related domains. * Familiarity with operational research methods, simulation modeling, or optimization. * Prior experience supporting USCIS or other DHS agencies. About ___: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established ______ that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at ___ and is an ___ provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Role: Data Scientist – Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems., • Strong foundation in Python programming in a cloud environment., • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills, • Expertise in data wrangling using SQL,, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes, • Fluency in querying/extracting/aggregating data via SQL scripting., • Extract, load and transform data (ETL) from structured and unstructured sources, • Apply Natural Language Processing and Computer Vision to solve business use cases,, • Strong skills in scientific data analyses, modeling, visualization and communication of results., • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others), • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization), • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM), • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.), • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.), • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras, • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest, • Distributed computing tools and cloud technology (AWS) Benefits * Competitive Salary * Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 hours). Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Join Aya Healthcare, winner of multiple Top Workplace awards! Come join our Data Operations team! In this hands-on role, the ideal candidate would help design, develop, and implement large scale, high-volume, high-performance, scalable data infrastructure and pipelines for client integrations. This person will have strong experience in cloud data design and management on the Azure platform. This person will join a nimble team working in a fast-paced environment for a great company where your opinion and experience matter. WHO WE ARE: We’re an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. RESPONSIBILITIES: • Monitor and troubleshoot data pipeline and warehouse quality and performance issues, ensuring smooth operation and proactively addressing potential bottlenecks, • Design, build, and maintain scalable ETL/ELT pipelines to transfer data to and from clients from diverse sources, such as APIs, cloud storage, and databases, • Collaborate with client engineering teams to understand their data structures, identify source systems, and contribute to technical integration requirements, • Stay updated with industry trends and advancements in data engineering and bring innovative ideas to continuously improve our data processes, • Ensure data security, privacy, and compliance by implementing appropriate Azure policies, procedures, and encryption methods, • Monitor and optimize the performance, scalability, and cost-efficiency of data storage and processing solutions on Azure REQUIRED QUALIFICATIONS: • Bachelor’s degree in computer science, information systems, or a related field, • 2+ years of experience in cloud data architecture, design and data governance, • Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse, • Proficiency in programming languages, such as SQL, Python, Scala, or Java, • Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure, • Knowledge of various data storage solutions, such as relational databases, etc., • Creating & Managing documentation on methodologies, tools and techniques, • Strong analytical problem-solving and the ability to explain complex technical designs to non-technical stakeholders, • Willing and able to work irregular hours as needed WHAT WE OFFER: • Free premium medical, dental, life and vision insurance, • Generous 401(k) match, • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses, • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling, • Celebrations! We hit our goals and reward ourselves., • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday!, • Unlimited DTO — we believe in time off!, • Virtual yoga, meditation or boot camp classes offered daily COMPENSATION: Aya reasonably anticipates the pay scale for this position to be an annual salary of $100,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion. Aya is an Equal Opportunity Employer (EEO), including Disability / Vets, and welcomes all to apply. Please click ______for our EEO policy.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. ___At ___, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI), • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Get paid for your expertise, with rates that can go up to $60/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Build and maintain ELT workflows in Python, managing data flows between cloud storage and relational databases. We’re looking for a Senior Data Engineer who thrives at the intersection of data engineering and applied AI. You’ll scope ambiguous problems, experiment with AI-driven extraction techn

At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation). Developed a deep understanding of healthcare claims data. Experience working with a large anonymized patient level healthcare databases (preferably ad

The Senior Data Engineer is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. Proven expertise in Python and SQL for data engin

Globality was founded with a simple yet ambitious goal: to use AI to transform enterprise spending into a smarter, fairer process—creating more efficient and inclusive markets worldwide. Nearly a decade later, our agentic AI solution is reshaping how the world’s largest enterprises spend, transforming procurement into a guided, insight-led process that’s faster, smarter, and better for business. Our mission is to revolutionize enterprise procurement by leveraging AI to create smarter, fairer, and more efficient markets. At the helm of Globality is a distinguished leadership team and board of directors, each bringing decades of experience from leading global enterprises. Their collective expertise in technology, finance, and global operations guides Globality's strategic direction and reinforces our commitment to innovation and excellence in enterprise procurement. Our culture is built on trust, collaboration, and innovation, fostering an environment where every individual feels valued and included. Bring your expertise, passion, and perspective—together, we’re shaping the future of enterprise spending. Role Summary: As a Sr. Site Reliability Engineer at Globality, you will play a pivotal role in building and scaling the technical foundations that power our business-critical services. You’ll drive initiatives that enhance the reliability, scalability, and security of our infrastructure, while collaborating across teams to foster a culture of automation and operational excellence. What you will be doing: • Develop automation code to provision and operate infrastructure at scale., • Collaborate with Architects to implement foundational technologies, policies, and practices that support a high-velocity, secure, and compliant platform., • Plan and execute long-term roadmaps across multiple teams and departments., • Build resilient, scalable, secure, and observable services with cost optimization in mind., • Proactively identify and address security concerns across systems and infrastructure. What we are looking for: • Have 5+ years of experience building and scaling distributed infrastructure., • Possess strong debugging and problem-solving skills., • Have experience with scale testing, disaster recovery, and capacity planning., • Are skilled in managing distributed systems in public, private, or hybrid cloud environments (AWS, GCP, Azure, etc.)., • Can design, write, and maintain code in languages such as Python, Go, Ruby, or Java., • Are passionate about automating manual operations and continuously improving systems., • Have hands-on experience with configuration management and software delivery tools (e.g., Ansible, Terraform, Pulumi)., • Are experienced in deploying, supporting, and monitoring services, platforms, and application stacks., • Demonstrate a strong sense of ownership, integrity, and clear communication., • Experienced delivering solutions in IL5 or FedRamp High/Moderate environments., • Collaborate with security and compliance teams to meet FedRamp, IL5, CMMC, NIST 800-53, and similar controls, ensuring audit readiness and ongoing alignment., • Have experience using and owning AI tools to enhance operational efficiency, automate workflows, or support infrastructure management., • U.S. citizenship required due to government contract requirements, FedRAMP, and/or DoD Impact Level 5 (IL5) compliance. The anticipated annual base salary range for this position is $120,000 to $180,000. Actual compensation may vary based on factors such as experience, skills, and location. This information is provided in accordance with the California Equal Pay Act. We are an equal opportunity employer and participate in the E-Verify program. We are committed to building a diverse and inclusive workplace and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity, religion, national origin, age, disability, or any other protected status.

Overview We’re seeking a Machine Learning Data Scientist with deep expertise in healthcare claims data to design, build, and deploy advanced analytics and machine learning modeling solutions. In this role, you’ll transform complex administrative and clinical datasets into actionable insights that improve cost efficiency, care quality, and operational performance across the healthcare ecosystem. You’ll collaborate with data engineers, clinicians, and product teams to develop predictive models, optimize workflows, and support strategic decision‑making. This position is ideal for someone who thrives at the intersection of data science, healthcare operations, and modern machine learning. Key Responsibilities Machine Learning & Advanced Analytics * Develop, train, and deploy ML models for use cases such as: * Claims cost prediction and utilization forecasting * Fraud, waste, and abuse detection * Risk adjustment and member stratification * Provider performance and network optimization * Apply modern ML techniques including gradient boosting, deep learning, NLP, and probabilistic modeling. * Capable of applying advanced predictive analytics to correlate disparate datasets and events and derive business value. * Build scalable pipelines for feature engineering, model training, validation, and monitoring. Healthcare Claims Expertise * Analyze and interpret medical, pharmacy, and dental claims (CPT/HCPCS, ICD‑10, DRG, NDC). * Translate domain knowledge into meaningful features and model strategies. Cross‑Functional Collaboration * Partner with clinicians, product managers, and business stakeholders to define problems and measure outcomes. * Communicate complex analytical findings in clear, actionable terms. Required Qualifications * Strong proficiency in Python and ML libraries (scikit‑learn, XGBoost, TensorFlow/PyTorch). * Hands‑on experience with healthcare claims datasets and coding systems. * Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques. * Strong knowledge and expertise working with SQL. * Ability to translate business needs into analytical solutions. * Must have demonstrated the ability to solve complex problems with minimal direction. Preferred Qualifications * Experience with NLP applied to clinical notes or unstructured healthcare data. * Familiarity with actuarial concepts, risk scoring, or value‑based care models. * Familiarity deploying models into production (MLOps, CI/CD). * Background in health economics, epidemiology, or biostatistics. * Prior work with FHIR, HL7, or interoperability standards. SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight combats fraud, waste, and abuse in healthcare through our proprietary data analysis and model development. Requiring the bare minimum in employer involvement, our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. At Stitch Fix, our data science team combines data insights with expert human judgment to generate innovative recommendations that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable tools & processes and integrating with live engineering services. The diversity of the problems that we work on, and the data-rich environment of our business, make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for data scientists and leaders to join us as we revolutionize retail. The Merchandising Algorithms team helps ensure that Stitch Fix purchases the right inventory to delight our clients while also supporting their sellthrough via pricing recommendations and other levers in order to efficiently operate the business. Team members are owners of the health and efficiency of our inventory state, providing recommendations and analytical insights to empower our business partners to improve our assortment. Alongside partnerships in merchandise, engineering, and product, this role will focus on building tools to optimally disseminate operational budgets when purchasing inventory, all while maintaining a high value product experience for our clients. This role will combine technical expertise in data science and optimization techniques with strong decision-making capabilities to drive data-informed strategic decisions across the organization. The ideal candidate will have a passion for solving complex business problems, utilizing data to derive insights, and providing actionable recommendations that guide key business decisions. As a Senior Full Stack Data Scientist at Stitch Fix, you will design, implement, and validate improvements to our repurchased inventory buying strategy to ensure optimal sellthrough given business constraints and client demand. Optimizing our inventory has considerable opportunity for impact at Stitch Fix, by combining a deep focus on ensuring a client-right approach to inventory management with smart, active processes to increase business efficiency and unit margin. • Build key relationships with stakeholders across product, engineering, finance, and operations and collaborate on translating business challenges into analytical questions that can be addressed using data science techniques, • Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making., • Solution at high speed with a small, agile team of coworkers to produce outsized impact on the business, • Have the autonomy to identify unaddressed problems in the business as well as offer new, improved solutions to existing challenges, • Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions., • Be exposed to a wide-open field of opportunity for impact with plenty of challenges to make your own, • Work in concert with and learn from a large, diverse, and world-class Algorithms team towards the common goal of transforming the way people find what they love., • You are proficient in building and deployment apps using the Python data ecosystem, • You have 1+ years experience with optimization techniques such as linear programming, dynamic programming and others. A bonus if you have experience with Gurobi!, • You’re fluent in SQL and have experience handling large-scale datasets, • You have an understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action, • You drive for resiliency. You take a principled approach to complexity, and can make smart bets on where to invest time and system burden for maximum business impact, • You’re curious about what’s happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own, • You have familiarity with data visualization tools such as matplotlib, seaborn, looker etc, • You’re happiest as a team player, able to balance time against multiple systems and work streams with defined objectives, • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix., • We cultivate a community of diverse perspectives— all voices are heard and valued., • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail., • We win as a team, commit to our work, and celebrate grit together because we value strong relationships., • We boldly create the future while keeping equity and sustainability at the center of all that we do., • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact., • We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$123,000—$205,000 USD ___ leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ___ Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at ___ or ___. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email ___. You can read more about Recruiting Scam Awareness on our FAQ page here: ___

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City. Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader’s discipline and a risk manager’s skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults. Join our derivatives trading team and work on the key infrastructure that powers our product offering as well as trading systems. Work with a team with decades of experience in tech and finance to build the backbone of our high-performance derivatives trading strategies. You'll work close to trading, own critical infrastructure end-to-end, and ship systems that manage real capital in live crypto markets. • Design, implement, and operate scalable distributed systems in production., • Build low-latency and streaming systems for real-time and near real-time workloads., • Develop data pipelines and ETL workflows for ingesting, transforming, and serving data., • Build and maintain application services and APIs used by internal and external systems., • Implement Web3 protocol integrations, including smart contract interactions and on-chain data ingestion via RPCs, logs, and indexers., • Apply SRE principles to improve reliability, observability, and operational correctness., • Participate in incident response, debugging production issues and driving root-cause fixes., • Contribute to system design and code reviews, maintaining high engineering standards., • Leverage AI-assisted development tools to improve productivity, code quality, and system understanding, while exercising strong engineering judgment., • Write and maintain technical documentation for systems and workflows., • 6+ years of professional software engineering experience., • Strong proficiency in Python, Rust, and/or JavaScript/TypeScript., • Experience building low-latency or high-throughput systems., • Experience designing and operating scalable distributed systems., • Hands-on experience with Web3 systems, including interacting with smart contracts and consuming on-chain data., • Experience with streaming or messaging systems (e.g. Kafka, Pub/Sub)., • Experience with data storage systems (e.g. Postgres, ClickHouse)., • Experience deploying and operating software in cloud environments (e.g. GCP)., • Familiarity with containerized systems (Docker, Kubernetes)., • Understanding of SRE practices, including monitoring, alerting, and incident response., • Strong understanding of security fundamentals (authentication, authorization, secrets management)., • Previous experience at financial or trading firms., • Smart contract development experience (e.g. Solidity)., • Experience with workflow orchestration (e.g. Dagster)., • Experience operating systems with strict reliability or performance requirements., • Exposure to infrastructure as code or CI/CD systems., • Remote first - work from anywhere in the US & CAN!, • Competitive packages with the added opportunity for incentive-based compensation, • Regular in-person company retreats and cross-country "office visit" perk, • 100% paid medical, dental and vision premiums for employees, • Laptop provided, • $1,000 WFH stipend upon joining, • $100 per month reimbursement for fitness-related expenses, • Monthly reimbursement for home internet, phone, and cellular data, • Unlimited vacation policy, • 100% paid parental leave of 12 weeks #LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

BlastPoint is a B2B data analytics startup located in the East Liberty neighborhood of Pittsburgh. We give companies the power to engage with customers more effectively by discovering the humans in their data and understanding customer journeys. Serving diverse industries including energy, finance, retail, and transportation, BlastPoint’s Customer Intelligence Platform makes data accessible to business users so they can plan solutions to customer-facing challenges, from encouraging green behavior to managing customers’ financial stress. Founded in 2016 by Carnegie Mellon Alumni, we are a tight-knit, forward-thinking team. • Solve Challenging Problems: BlastPoint’s platform incorporates cutting-edge approaches to geospatial data, psychographic clustering, data enrichment and a dynamic visualization environment, all at scale. We’re working to break new ground by pulling insights from high-dimensional data. And we’re pushing ourselves to try new and better ways to approach every step of our process., • Have An Impact: Small but mighty, BlastPoint’s growth is due to big companies increasingly trusting us with supporting key decisions using their most sensitive data. What we do positively impacts the lives of millions of Americans (and beyond)., • Make Positive Change in the World: Our solutions reduce paper consumption, help struggling families pay their bills, and promote clean energy. We also offer our platform for free to nonprofits and civic-oriented organizations., • Employee-Focused Culture: We support the individual needs of our team, offering schedule and work-from-home flexibility, health insurance, 401K, and three weeks of PTO. We also tailor growth opportunities, from skills training to industry conferences., • Equal Opportunity Employer: BlastPoint is committed to creating an inclusive and diverse workplace, ensuring equal employment opportunities for individuals regardless of race, color, religion, sex, national origin, age, disability, or genetics. Everybody matters We beat expectations Innovation built on a foundation Cards on the table, always "The smartest systems from the most comprehensive data built by the best people” About Us BlastPoint is a B2B data analytics startup located in the East Liberty neighborhood of Pittsburgh. We give companies the power to solve business problems through discovering the humans in their data and understanding how they think. Serving diverse industries including energy, retail, finance, and transportation, BlastPoint’s software platform helps companies plan solutions to customer-facing challenges, from encouraging green behavior to managing customers’ financial stress. Founded in 2016 by Carnegie Mellon Alumni, we are a tight-knit, forward-thinking team. Why You Should Work for Us • Solve Challenging Problems: BlastPoint’s platform incorporates cutting-edge approaches to geospatial data, psychographic clustering, data enrichment and a dynamic visualization environment, all at scale. We’re working to break new ground by pulling insights from high-dimensional data. And we’re pushing ourselves to try new and better ways to approach every step of our process., • Have An Impact: Small but mighty, BlastPoint’s growth is due to big companies increasingly trusting us with supporting key decisions using their most sensitive data. What we do positively impacts the lives of millions of Americans (and beyond)., • Make Positive Change in the World: Our solutions reduce paper consumption, help struggling families pay their bills, and promote clean energy. We also offer our platform for free to nonprofits and civic-oriented organizations., • Employee-Focused Culture: We support the individual needs of our team, offering schedule and work-from-home flexibility, health insurance, 401K, and three weeks of PTO. We also tailor growth opportunities, from skills training to industry conferences. We are seeking a talented Senior Data Engineer to own and evolve our data processing pipeline. You'll work across a production-scale medallion architecture that ingests, transforms, and delivers customer data through a multi-stage pipeline serving clients in the utility and financial services industries. This role sits at the center of our data infrastructure - building the pipelines and tooling that power everything from daily data refreshes to ML feature engineering to platform delivery. Pipeline Development & Operations (Primary) • Design, develop, and maintain our core Python ETL framework by writing reusable, well-tested modules that power data transformations across client pipelines., • Develop and optimize our automated refresh pipeline orchestrated through AWS Batch, Lambda, Step Functions, and EventBridge., • Build Python integrations with external systems (SFTP, third-party APIs, client platforms) that are robust, testable, and reusable., • Identify and eliminate manual bottlenecks in data onboarding and analysis through well-designed automation., • Build and extend internal web applications (FastAPI, SQLAlchemy, PostgreSQL) that support pipeline orchestration, client configuration, and data platform operations., • Ensure data integrity and security throughout project lifecycles. Client Data Support (Secondary) • Write efficient server-side Python code, leveraging the Pandas and PySpark DataFrame APIs for scalable data transformations and aggregations., • Optimize Spark jobs for cost and performance at scale., • Debug complex data quality issues across client pipelines., • Mentor junior engineers on data transformation patterns, aggregation frameworks, and best practices. Internal Tooling (Tertiary) • Contribute to our internal metadata management application (FastAPI backend, React/TypeScript frontend)., • Build API endpoints, write database migrations, and occasionally develop frontend features., • Maintain the metadata layer that drives pipeline configuration and data governance. Required • Bachelor's degree in a related field like Data Engineering, Computer Science, Data Science, Math, Statistics with 3+ years of experience or 5+ years of relevant experience., • Experience designing and maintaining production ETL/ELT pipelines with proper error handling, idempotency, and monitoring., • Advanced proficiency in Python, with deep experience in Pandas and PySpark (DataFrame API, SQL, performance tuning, distributed joins)., • Strong SQL skills with PostgreSQL, including query optimization, indexing strategies, and schema design., • Hands-on experience with AWS services including but not limited to: S3, Lambda, Batch, SageMaker, and StepFunctions., • Experience with PyArrow and columnar data formats (Parquet) and data lake patterns., • Strong problem-solving skills with the ability to work autonomously, make architectural decisions, and manage multiple concurrent projects., • Excellent communication skills with the ability to drive cross-functional collaboration, proactively engaging stakeholders to align on requirements and solutions., • Experience using Git for version control and repository management., • Authorized to work in the United States. Preferred • Experience with Infrastructure as Code (Terraform)., • Experience implementing observability solutions (monitoring, logging, alerting) for production data pipelines., • Experience developing REST APIs with FastAPI, SQLAlchemy, and Alembic (or equivalent web frameworks and ORMs)., • Understanding of MLOps., • Experience building and deploying LLM-powered agents., • Experience with Apache Iceberg or similar data lakehouse technologies., • Experience with geospatial data processing (geocoding, spatial joins)., • Familiarity with React/TypeScript for contributing to internal tooling., • Understanding of CI/CD (GitHub Actions)., • Experience mentoring junior engineers., • A willingness to travel domestically periodically for company events (roughly 2-4 times per year)., • Work on a platform that directly impacts how major utilities and financial institutions understand and serve their customers., • Own critical infrastructure end-to-end, from data ingestion to platform delivery., • Collaborate with data scientists on ML-powered customer intelligence products., • Influence architecture decisions on a growing, production-scale data platform., • Mentor and grow junior data engineers.

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Data Engineer II, you’ll own the data platforms that power Samsara’s GTM AI engine. You’ll be responsible for building, scaling, and optimizing our Databricks data store, visualization store, and AI store, while also enabling large-scale generative AI jobs in Databricks. Your work will ensure that our AI applications are grounded in clean, reliable, and well-structured data from CRM pipelines, CS Systems to GenAI-powered copilots. You’ll partner closely with data scientists, AI engineers, and business stakeholders to deliver the infrastructure that fuels innovation at scale. This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases., • Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation)., • Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery., • Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale., • Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows., • Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale., • Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments., • Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems., • Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations. Minimum requirements for the role: • 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms., • Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Redshift, RDS, Snowflake or similar solutions., • Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines., • Experience orchestrating data workflows at scale and enabling machine learning or AI use cases., • Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience enabling generative AI workflows in Databricks or similar platforms., • Familiarity with vector databases, embeddings, and retrieval systems., • Experience with Salesforce, Gainsight, Gong, Outreach, or other CRM/enablement tools as data sources., • Proven ability to automate repetitive tasks, improve data hygiene, and enable experimentation across GTM data use cases aligning with the emerging responsibilities of GTM engineering where clean, reliable GTM data foundations enable high-leverage automation and insight generation, • Exposure to observability, monitoring, and governance best practices for data and AI systems., • Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At ___, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You have a Bachelor's degree in Computer Science, Software Engineering, or related field., • You have at least 3 years of professional experience with Rust and hands-on experience with Rust testing tools (e.g., cargo test, property-based testing with quickcheck)., • Familiarity with Rust tooling (Cargo, Clippy, rustfmt), module and crate management., • Experience with code review, quality analysis, and identifying/fixing code smells and type issues⁠, • Familiar with test integration in CI/CD environments., • Experience using, integrating, or tutoring others with AI solutions or LLMs in Rust/test automation contexts., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Plays a critical role within the Bioinformatics & Data Science Development team with a strong background in cloud engineering and application development.The individual in this role will be proficient in Python, demonstrate sound software engineering principles, and contribute to the design, develop

Data Manipulation: Can translate raw data into useful insights for executives; Expert-level SQL or Snowflake for querying complex relational databases; Experience with Python for data cleaning, automation, and statistical analysis. As a Staff Performance Data Analyst, you will be the analytical engi

Experience developing in a modern data stack using Databricks, Python, and/or Airflow. Use SQL to analyze clinical, operational, financial, and administrative data generated in Epic’s electronic health record (EHR) and practice management (PM) systems and stored in Epic’s back-end Clarity

Transforming global food systems is key to tackling the climate crisis and protecting people and the planet. We believe a new and different type of transparency is needed to drive that change. That is why we built OpenSC - co-founded by WWF and The Boston Consulting Group. Our platform uses data directly from the source of our customer’s supply chains and analyses it to create direct actionable insights about sustainable & ethical production. Automated - Continuous - Granular - Immutable. This new type of transparency enables our customers to know, influence, and prove the sustainability of their supply chains. We are hiring for an experienced Senior Full Stack engineer to join our team and help build and scale our data-centric platform. In this role you will work closely on the following topics: Platform Design, Engineering Excellence & Scalability * Collaborate in the development of the OpenSC platform, working on distributed backend systems that support high-volume data processing. * Focus on designing and building secure, reliable and user friendly frontend features to enhance user experience by working closely with our product team. * Focus on quality and reliability by writing clean, well-tested code and ensuring operational stability through robust monitoring, logging, and fault tolerance. * Contribute to the development of a scalable architecture by applying industry best practices in system design, ensuring high availability and performance optimization. Innovation, Continuous Improvement & Collaboration * Promote agile practices and software best practices to support iterative product development and build effective solutions to real-world challenges. * Participate in brainstorming sessions and ideation phases, iterating on ideas and helping shape early-stage products by rapidly building Proofs of Concepts (POCs) in a lean and efficient manner with minimal resources and time. A generalist mindset, with a willingness to learn across multiple tech stacks and systems. * Solid backend and frontend exposure. Fluency in Python and a solid understanding of frontend technologies (preferably with ReactJS). * Experience designing scalable and reliable APIs and backend systems. * Hands-on experience with web application development. * Ability to balance user needs with business goals when developing impactful products. * Familiarity with cloud platforms like AWS, GCP, or Azure is beneficial. * Experience in SaaS environments, particularly B2B SaaS, is a plus. * Exposure to working with data products and data-centric companies is advantageous. * This is a remote position, but candidates must be based in Europe. Our tech stack: * We are cloud-native company and leverage AWS cloud and its services (e.g. EKS, RDS, S3, etc.). * Our APIs are historically built with Spring Boot (Kotlin), but we are looking to become Python-first in our tech stack. * Our data pipelines are orchestrated by Dagster (Python) with data stored in S3 and Postgres, and transformations written using dbt. * We build data applications in Plotly Dash (Python) and web applications in React.js. * We deploy our code using CircleCI and Github Actions and use terraform for infrastructure deployment.

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy. This role focuses on using our own software to better understand our customers and how they use our products. In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem. You’ll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights. As a Staff Data Engineer at Starburst you will: • Build and manage a high quality data lake to support various aspects of Startburst’s business, including product management, finance, customer support, and engineering., • Find innovative ways to use Trino and Starburst to solve data management challenges, • Collaborate with technical leads, product managers and data analysts to build robust data products and analytics, • Leverage AI to democratize access to datasets for users throughout Starburst., • Enable dataset preparation and model evaluation for Starbursts’ AI projects, • Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions, • Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels, • Envision innovative approaches to data management and work with Starburst’s product teams to bring those innovations to market. Some of the things we look for: • At least 7 years of data engineering experience, and a clear passion for data and analytics, • Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data, • Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks., • Experience managing data infrastructure in public clouds., • Experience using and managing orchestration frameworks such as Apache Airflow or Dagster., • Knowledge of RAG and other design patterns for AI applications, • Fluency in SQL, • Experience building API integrations for extracting data from third party sources., • Excellent coding ability in Java, Python or Scala., • Knowledge of data modelling techniques which are appropriate for modern data lakes, • Experience with a variety of AWS services such as EMR, EC2, S3, and IAM. Multi-cloud experience (GCP/Azure) is also nice to have., • Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible., • Demonstrable experience in delivering value and hitting deadlines consistently, • Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review, • Highly proficient in both written and verbal communication, coupled with strong organizational abilities Where could this role be based? Remote, US Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $227,850 - $278,250 USD All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Remote #BI-Remote

As a Python Developer, you will be responsible for developing and maintaining Python-based applications. We are currently hiring Python Developers. Extensive experience with Python Django and ReactJS.

About SecurityScorecard: SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the___ and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, Google Ventures, and Riverwood Capital. Role Overview: We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products. Responsibilities: • Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment., • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets., • Evaluate and validate models, ensuring their accuracy, robustness, and scalability., • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems., • Contribute to code reviews, design discussions, and data science best practices., • Stay current on new research and technologies to ensure we leverage state-of-the-art methods., • Communicate findings and recommendations effectively to both technical and non-technical audiences. Qualifications: • Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems., • 5+ years of experience applying data science and machine learning to real-world challenges., • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks)., • Experience working with cloud-based data pipelines (AWS, GCP, or similar)., • Solid understanding of ML algorithms, evaluation metrics, and model deployment., • Effective communicator and team player with a passion for solving hard problems., • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus., • Prior exposure and interest in LLMs is a plus. Benefits: Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more! The estimated total compensation range for this position is $170,000 - $205,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact . Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI

About the role We are hiring a Staff Data Scientist to define and lead the data science strategy for Coalition’s insurance business. In this role, you will own some of our most important analytical and modeling problems across underwriting, claims, CoalitionRe, and portfolio management helping us to move the organization from ad hoc analyses to reusable, rigorous decision frameworks. You’ll lead multi-quarter, cross-functional initiatives, design and analyze complex experiments and quasi-experiments, and build data and modeling assets that become the source of truth for leaders. Your work will shape how we measure performance, price and select risk, structure reinsurance, and allocate capital, while mentoring other scientists and analysts to raise the technical bar across the team. Responsibilities • Define and lead the data science strategy for Coalition’s insurance business, driving multi-quarter initiatives across underwriting, claims, CoalitionRe, and portfolio management., • Lead cross-functional analytics and data science projects that uncover insights and optimization opportunities across the end-to-end customer and broker journey, from submission through renewal and expansion., • Provide technical leadership and guidance to other data scientists and senior analysts, setting a rigorous technical bar and developing repeatable frameworks (e.g., experimentation, causal analysis, model evaluation) that move the team away from one-off analyses., • Design and analyze experiments and quasi-experiments (e.g., guideline changes, pricing strategies, broker programs), establishing best practices for test design, power, guardrails, and interpretation in low-frequency / high-severity insurance settings., • Define, document, and maintain core insurance funnel and portfolio metrics (e.g., submission-to-bind, hit rate, loss ratio, frequency/severity, attachment points), and build automated dashboards and reporting used by leadership for decision-making., • Develop data models and scalable analytical / ML workflows that improve reliability, repeatability, and time-to-insight for insurance stakeholders and downstream teams., • Analyze disparate data sources (policy, exposure, pricing, claims, broker behavior, reinsurance, external data) and synthesize findings into clear, influential narratives with prioritized recommendations., • Influence product, insurance, and revenue leadership with data-backed recommendations, shaping roadmaps, investment decisions, and OKR tracking., • Mentor and uplevel junior and senior analysts/scientists, contributing to team best practices, code quality, documentation, and review processes; help shape the data science culture and career pathways., • Champion innovation in methods and tooling, including causal inference, advanced statistical techniques, and appropriate application of ML/AI to unlock new capabilities and scale impact. Skills and Qualifications • 10+ years in analytics or data science with a consistent track record of measurable product, underwriting, or revenue impact., • Deep domain experience (8+ years) in the Insurance industry, ideally P&C or cyber/E&O, working closely with underwriting, claims, actuarial/portfolio, or reinsurance teams., • Expert SQL, including complex data modeling, performance optimization, and clear, maintainable documentation., • Expert in Python or R for analysis, experimentation, and reproducible workflows (e.g., notebooks, scripts, modular libraries)., • Strong grasp of statistical methods: hypothesis testing, experiment design, causal thinking (e.g., quasi-experimental designs, difference-in-differences, propensity scores), and robust interpretation under real-world constraints., • Experience with BI tools such as Looker or Tableau, and the ability to design reliable, executive-ready dashboards and self-serve measurement layers., • Excellent communication and stakeholder management skills; able to translate complex technical work into clear, actionable language for senior non-technical audiences., • Demonstrated ability to lead cross-functional initiatives end-to-end: framing ambiguous problems, aligning stakeholders, delivering high-quality work, and landing the change in partner teams. Bonus Points • Exposure and usage of AI-assisted coding IDEs like Cursor or GitHub Copilot to improve development and analysis velocity., • Technical rigor to move the team from "one-off" reports to repeatable AI frameworks., • Domain experience in fintech or adjacent regulated industries in addition to insurance., • Familiarity with broader go-to-market and servicing tools and data, such as Looker, Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora., • Experience with analytics and data workflows such as dbt or Airflow, especially for productionizing analytical datasets or model pipelines., • Hands-on experience with causal inference methods and quasi-experimental designs, including applying them in noisy, operational insurance environments. Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $157,900.00/year in our lowest geographic market up to $211,500.00/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks • 100% medical, dental and vision coverage, • Flexible PTO policy, • Annual home office stipend and WeWork access, • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!, • Competitive compensation and opportunity for advancement

At SentinelOne, we’re transforming the developer platform to offer a unified developer experience. To help us achieve that, we’re seeking a Senior Staff Software Engineer for a new key role that will drive this transformation and define the next generation of our platform. • This is a high-impact role, where you’ll undertake an ambitious initiative to design and implement secure, scalable, reliable Developer Platform APIs built using modern technologies and approaches. This Developer Platform sits on top of our Infrastructure Platform, and its APIs must provide both a unified, customer-friendly developer experience and internal infrastructure service protection., • You’ll need strong experience with Developer Platform fundamentals, including designing and developing infrastructure platform services that enable scalability, efficiency, and ease of use for internal developers. You should also bring deep proficiency with CI/CD pipelines and tools at a large scale, as this role will shape how services are built, deployed, and managed across SentinelOne., • Strong ownership – In this role, you will work with multiple engineering and PM leaders and teams across the SentinelOne engineering organization on this re-architecture. We value collaboration, innovation, creativity, and technical excellence in our area., • You’ll deal with the scale of globally deployed platform services across 6 AWS/GCP regions that altogether process petabytes of data daily and hundreds of billions of events from tens of millions of endpoints we protect at our enterprise & public sector clients across the globe, including 4 of the Fortune 10 and hundreds of Global 2000 companies. If you are passionate about impactful, high-stakes projects, this is your opportunity to shine! • Architect the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Lead the design and development of a new architecture that supports scalability, maintainability, and operational excellence., • Modernize the Stack: Collaborate with teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform., • Hands-on Development: Write high-quality, production-ready code., • Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement enhances the overall quality, whether you wrote it directly, reviewed it, or contributed to its design., • Collaborate Across Teams and Orgs: Partner with engineering, product, design, quality, DevOps/Infra teams, and leadership to align on objectives, design, timelines, and execution strategies. Our stack: Java, Go; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana • Extensive software engineering experience, including proven expertise in architecting large-scale distributed systems and microservices architectures, with a focus on performance, scalability, and reliability., • Expertise in Developer Platform fundamentals and infrastructure platform services design., • Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments., • Proficiency in Java and/or Go; experience with Python is a plus., • Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes (K8s)., • Excellent problem-solving skills., • Strong ownership and accountability, with proven experience driving large, impactful projects., • Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones. You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry. • Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA, • Unlimited PTO, • Industry-leading gender-neutral parental leave, • Paid Company Holidays, • Paid Sick Time, • Employee stock purchase program, • Disability and life insurance, • Employee assistance program, • Gym membership reimbursement, • Cell phone reimbursement, • Numerous company-sponsored events, including regular happy hours and team-building events

Strong proficiency in Python and experience building production-grade systems.

We are seeking an experienced Lead Full Stack Developer & Product Owner to own and drive the development of our real-time Python application.

Type: Full-time, Remote We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable., • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly., • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions., • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related), • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion—and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! About the role: We are looking for a skilled and motivated Data Engineer to help design, build, manage, and operate the infrastructure behind our healthcare data platform. You will spend as much time building reliable, scalable infrastructure as you will working with the data that flows through it. You’ll work with diverse healthcare datasets (EHR, BCDA, CCLF, CRM) and contribute to a platform that will support our analytics product, as well as future GenAI use cases. Depending on experience, you will be responsible for building pipelines, maintaining operations, enabling new platform features to help accelerate our Data Science team, and contributing to architectural design decisions. Data will be integrated into systems such as Snowflake, Postgres, or Databricks for downstream analytics, requiring high availability, discoverability, quality, and throughput, as well as long-term extensibility. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Manager, Data Engineering As a Data Engineer at Trella, you will: • Design, implement, and maintain data models, pipelines, and architecture to support current and future product needs – focusing on healthcare datasets such as claims, EHR, BCDA, and CCLF., • Design processes to consolidate data from multiple sources into a single source of truth., • Contribute to data governance policies, standards, and procedures to ensure data quality, security, HIPAA and other regulatory compliance., • Identify and optimize performance bottlenecks in ETL/ELT pipelines – ensuring the long term scalability of pipelines., • Work closely with Data Scientists, Engineers, and business stakeholders to understand requirements and translate them into high-value, technical solutions. This job might be a fit for you if you have: • 2+ years of engineering experience, • Core Competencies:, • Python, • SQL, • Apache Spark and PySpark, • Data Modeling & Warehousing Concepts, • OLAP vs OLTP, • Normalized vs Denormalized data, one big table, • SCDs, • Medallion Architecture, • Tools & Technology, • Experience working with dbt or SQLMesh, • Experience with at least one major data platform and warehousing tool such as Databricks or Snowflake, • Security & Compliance, • Awareness of Data Governance and Security concepts;, • Discoverability Role Based Access Control, • Tokenization, • Prior experience working with PHI/PII and experience working in audited environments, • Healthcare Domain Knowledge, • HIPAA, SOC2, and HITRUST compliance requirements and implementation, • Healthcare interoperability standards (FHIR, HL7), • EHR operational data and claims data processing experience Note: Healthcare experience not required if applicant has sufficient experience in other, highly regulated environments, and demonstrates an advanced understanding of data security and governance. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: • Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems, • Over 150 team members and growing, • Recognized as one of Modern Healthcare’s “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn, • Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion—and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: • Health, Dental, Vision & Voluntary Benefits, • Competitive Salary & Bonus Plans, • 401k Retirement Savings, • Flexible PTO & 10 Paid Holidays, • Flexible Work Hours, • Equity Shares, • Paid Leave Programs, • Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

Americor is an innovative finance technology company, with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans. We are currently looking for a Sr Data Engineer to join our rapidly growing team. Specific job title and offer to align to the qualifications of the candidate. *Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time Compensation: $90,000-$110,000 annually, dependent on experience. Location: Irvine, CA Hybrid (In-office every Tuesday). Schedule: Monday–Friday, with weekend on-call availability required as needed. Essential Job Functions: • Custodianship of the data warehouse, warehouse architecture and connectivity, • Use new and sustainable engineering and servicing capabilities, • Answer data servicing needs every day with designs, builds and maintenance that supports ongoing data collection, cleansing, storage, processing and retrieval, • Designs should be simple, disciplined and largely universally adaptable, • Builds should exhibit use of engineering best practices with low touch automation, • Maintenance should be based on reliable monitoring and transparent change management, • Data collection, cleansing and storage should span source replication, enriched star schema transformation and final data mart custodianship, • Data processing and retrieval should be monolithic or microservice based on end data need, • Other duties as assignedEducation and Experience Requirements:, • Bachelor's degree in quantitative field or equivalent experience; Master’s preferred, • Advanced proficiency with SQL; experience with dbt preferred, • Intermediate proficiency with Python; experience with Airflow and Django Python framework preferred, • Experience with building and consuming REST APIs and interacting with OAuth, • Experience with cloud services preferred; AWS preferred, • Excellent verbal, written and interpersonal communication skillAmericor offers a competitive benefits package:, • Career path, • Medical, • Dental, • Company paid group life / AD&D insurance, • 7 paid holidays and 2 flex days to use at will, • Paid time off, • Flexible spending/HAS, • Employee Assistance Program (EAP), • 401(k), • Referral program #LI-JR1 Note to Agencies: Americor Funding Inc. has an internal recruiting department and may, at times, supplement that capability with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are directed not to contact Americor Funding Inc. employees directly to present candidates. It is the Company’s policy that all candidates must be presented to hiring managers exclusively by the internal recruiting team or other authorized personnel. Any unsolicited resumes sent to Americor Funding Inc. by an Agency—including those sent to any Company mailing address, fax, email, employee, or the resume database—will be considered the property of the Company. Americor Funding Inc. will not pay a fee for any placement resulting from an unsolicited resume. Any candidate for whom an Agency submits an unsolicited resume will be deemed referred at no cost to the Company. Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.

Full-time Description About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: • Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams., • Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects., • Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.;, • Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations., • Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality., • Assemble large, complex sets of data that meet non-functional and functional business requirements, • Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes, • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies, • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition?, • Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues, • Write unit and integration tests for all data processing code., • Work with DevOps engineers on CI, CD, and IaC., • Read specs and translate them into code and design documents., • Perform code reviews and develop processes for improving code quality. Required Qualifications: • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation., • Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines., • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required., • OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience., • Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up., • Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products., • Experienced in designing data architecture for shared services, scalability, and performance, • Experienced in designing data services including API, meta data, and data catalogue., • Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users., • Ability to build and optimize data sets, ‘big data’ data pipelines and architectures?, • Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions?, • Excellent analytic skills associated with working on unstructured datasets?, • Ability to build processes that support data transformation, workload management, data structures, dependency and metadata, • Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.?, • Flexible and willing to accept a change in priorities as necessary., • Ability to work in a fast-paced, team-oriented environment, • Experience with Agile methodology, using test-driven development., • Experience with GitHub and Atlassian Jira/Confluence., • Federal Government contracting work experience., • Databricks Certification, Google’s Certified Professional-Data-Engineer certification, IBM Certified Data Engineer – Big Data certification, CCP Data Engineer for Cloudera, • Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability. Salary Description $113,200 - $127,900

___ provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the ___ list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the ___ and testified before the ___ on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. As a Senior Software Engineer on the Data Platform team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve. This is a remote, US-based role. Technologies: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies * Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships * Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements * Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards * Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores * Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products * Participate in call rotation for production issues, along with the rest of engineering * Mentor junior engineers and contribute to our evolving engineering best practices * Drive innovation by actively participating in our hackathons and doing proof of concepts * Develop functional subject matter expertise within various areas of identity fraud domain * 5+ years of experience in software engineering, data engineering or related field * Proficient in in python or golang and related technologies and frameworks * Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies * Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP * Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques * Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms * Working knowledge of Infrastructure-as-Code and devops practices * Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) * Self organized and ability to work independently and with ambiguity * Experience working in a scrum / Agile development environment * Bonus points if you have: * Experience working with Spark/EMR * Built streaming applications * Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc. * Prior experience working in a fintech startup * Candidates must be legally authorized to work in the United States and must live in the United States * $170,000/year - $240,000/year + equity + benefits * Employer paid group health insurance for you and your dependents * 401(k) plan with employer match (or equivalent for non US-based roles) * Flexible paid time off * Regular company-wide in-person events * Home office stipend, and more! * Follow Through * Deep Understanding * Whatever It Takes * Do Something Smart

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Senior Data Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What you'll do • Lead a team of 6 engineers, • Working with fellow Nava engineers to design, review, and build well-crafted software, • Working in an agile manner to efficiently ship new features that meet user needs, • Design and develop scalable data ingestion and processing pipelines, • Implement large-scale data ecosystems within cloud-based platforms that include data management and data governance of structured and unstructured data, • Implement data validation and quality checks to ensure accuracy and consistency, • Work with cross-functional project teams to gather business requirements and translate to detailed technical specifications, • Work with Government partners to assist and develop data engineering applications and pipelines that will enable data services and processing capabilities, • Participate in software design and code reviews, • Maintain security and privacy standards in all aspects of the data pipeline, • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed Required skills • Open to Data Engineers, • At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms, • At least 3 years of experience leading and mentoring engineering teams, • At least 3 years of experience building data services on AWS, • Experience building large scale data services with FHIR/HL7 in healthcare, • Experience with big data technologies such Apache Spark, AWS Glue, AWS‬ Athena, Databricks‬, AWS Redshift, AWS S3 and AWS RDS, • Proficient writing applications and APIs in Python, Go or Java, Tenacity to dive into problems and iterate in working code, • Equal parts systems thinker and advocate for users, • Highly resourceful, reliable, and detail-oriented, • Ability to think strategically around trade-offs and short term vs. long term benefits, • An adaptive, empathetic, collaborative and positive mindset, • Excellent written and verbal communication skills, technical and otherwise \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

About the Role The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients. We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance. As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads. Responsibilities • Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring)., • Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services., • Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure., • Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads., • Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform)., • Implement model versioning, experiment tracking, and artifact management across environments., • Ensure reliability, scalability, observability, and cost efficiency of AI platforms., • Partner with AI/ML engineers to operationalize models and standardize deployment patterns., • Implement monitoring and alerting for system health, model performance, and drift., • Enforce security, compliance, and governance requirements for AI workloads., • Participate in incident response, root cause analysis, and continuous improvement initiatives., • Document standards, best practices, and reference architectures for MLOps and AI infrastructure. Required Qualifications • 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud., • Experience supporting machine learning systems in production, including deployment and monitoring concerns., • Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required)., • Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking., • Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD)., • Strong proficiency with Terraform and scripting/programming in Python or similar languages., • Solid Linux, systems, and troubleshooting fundamentals., • Excellent communication skills and ability to work across teams., • Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores)., • Exposure to Generative AI / LLM workloads in production environments., • Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage)., • Experience operating in regulated or fintech environments., • Background in cost optimization for compute‑intensive workloads., • Strong written and verbal communication skills., • AWS certifications are a plus. Benefits The base salary range for this role is $180,000 to $230,000 depending on experience. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit ___ Twitter: @icapitalnetwork | LinkedIn: ___ | Awards Disclaimer: ___ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position Summary Nava is at the forefront of reimagining how our government serves its people, and we’re looking for experienced infrastructure engineers to help drive this mission forward. You will work on a team that’s helping to improve and manage all aspects of our systems, which are deployed on AWS. We make heavy use of tools such as Docker, Packer, Terraform, and Jenkins and we continually evaluate new technologies as they become production-ready for government contexts. You'll be responsible for pushing the limits of these critical systems, from Billion User Load Tests to achieving and maintaining sub-millisecond transaction times. By doing this, you’ll help ensure that Nava continues delivering services that millions of Americans depend on. You care deeply about working on technology that affects people’s lives, and are passionate about building and maintaining large-scale systems that are well-designed, fast, scalable, and secure. \n What you'll do: • Work with a cross-functional team to deliver on project requirements., • Set technical direction and standards for your team to ensure scalability, reliability, security, and system compliance., • Code, manage, configure, and maintain services update documentation and runbooks., • Implementing security controls., • Mentor less senior engineers., • Join our on-call rotation as a first line of defense during production issues., • Take part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required skills: • Minimum of 5 years of experience., • Experience leading small team 3-5 engineers., • Previous experience maintaining a medium or large-scale production system or COTS products using Infrastructure as Code (IaC) on AWS., • Broad experience with AWS services., • Significant experience working with Jenkins, GitHub Actions,‬ LaunchDarkly., • Significant experience with Terraform, Atlantis and other IaC and automation tools., • Significant experience in one or more of the following areas: Cloud Infrastructure, Unix/Linux, Scripting, and Security., • Ability to automate procedural tasks using scripting in Shell, PowerShell, Bash, or coding in Python, Javascript, or Ruby., • Excellent written and real-time communication skills, technical and otherwiseAbility to pick up and learn new development and operations skills. \n$126,000 - $135,900 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

Our Core Values: • Build with Intention:, • We stay focused on the work that matters most. No chasing shiny objects. We choose our priorities carefully and follow through with purpose and discipline., • Trust and Be Trusted:, • We earn trust by being obsessed with our customers’ problems. We listen, we move fast, and we do what we say we’re going to do, every time., • Lift as we climb: As a Senior Full Stack Engineer on this team, you will be a technical leader responsible for building and shaping a critical part of our AI-enhanced product. • Design, build, and maintain core features across the entire stack, from our React frontend to our Python backend services., • Architect scalable and resilient systems that can handle sensitive user data and complex, AI-driven workflows with reliability and performance in mind., • Take full ownership of major features, from initial concept and technical design through to deployment and post-launch support., • Collaborate with empathy alongside our Product partners, UX Designer, and other engineers to translate user needs into elegant technical solutions., • Mentor and guide other engineers on the team, fostering a culture of technical excellence through thoughtful code reviews and knowledge sharing., • Champion best practices for testing, code quality, security, and CI/CD to ensure we're building a robust and maintainable product. We're looking for a seasoned engineer who is passionate about building high-quality, intelligent products and thrives in a collaborative, value-driven environment. • 7+ years of professional software development experience, with a proven track record of shipping complex, full-stack web applications., • Previous experience developing AI-powered products or features, with a strong understanding of the product development lifecycle for AI systems., • Proficiency in modern JS frameworks like ___ and/or React along with expertise in JavaScript/TypeScript, HTML, and CSS., • Strong experience with a backend language and framework Python (Django, FastAPI)., • Comfort and proficiency using AI-assisted development tools (e.g., GitHub Copilot) to enhance productivity., • Solid understanding of database design and querying, with experience in SQL, PostgreSQL., • Familiarity with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (e.g., Docker, Kubernetes, CI/CD)., • A strong product sense and the ability to think critically about user experience and business impact. Where You'll Be: We offer flexibility in your work location! For this role, you just need to be based within the US, allowing you to work where you feel most productive. What Zivian Has for You: • A dynamic, diverse, and collaborative work environment., • Fast-paced startup culture full of growth minded colleagues., • A distributed team with opportunities for in-person collaboration., • Competitive compensation and benefits package., • A supportive, non-competitive work environment where the team truly cares about one another., • Opportunities for continuous learning and professional growth., • Flexibility in work location.