Data Engineer remote jobs - 5,819 jobs

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 5 years of experience in data architecture Preferred Qualifications: Masters' Degree 7+ years of experience using Python, Java, Go, and SQL 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Regular Your opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). This role is responsible for supporting and maintaining enterprise monitoring and telemetry platforms; Confluent Enterprise Platform (i.e., Kafka), ITRS Geneos, and OpenTelemetry telemetry pipeline as a member of the Enterprise Telemetry team. Activities include supporting Kafka producers and consumers, ITRS agent administration, OTEL pipeline management, troubleshooting and resolving issues, identifying opportunities for improvement, and creating reference and run-book documentation. May also participate in developing observability dashboards and configure monitoring and alerting as needed. Must be able to plan, coordinate and implement changes and use tools to troubleshoot incidents. Strong verbal and written communication skills are required. This position will help monitor the health of these environments and address issues in a timely manner. Duties will also include on-boarding new producer and consumer use cases, performing software upgrades, process improvement, and additional platform support roles. It will also include contributing to the build and support of the enterprise telemetry pipeline. Proficient with Monitoring Tools, Linux administration; Proficient in Kafka administration, including installing software, modifying configuration files, and agent management. Highly efficient multi-tasker and great organization skills. Splunk, Grafana, and Datadog experience a plus. Duties will include: · On-boarding new Kafka producer and consumer use cases. · Engineering and supporting the enterprise telemetry pipeline · Testing and deploying software upgrades. · Managing and supporting telemetry agents. · Support of OpenTelemetry collectors · Issue troubleshooting and resolution. What you have · Deep understanding of the Confluent Enterprise Platform component: Brokers, Topics, Partitions, Producers, Consumers, Zookeeper, KRaft. · Ability to setup and configure on-prem Kafka components, replication factors, and partitioning. · Experience engineering logging platforms · Understanding of telemetry monitoring platforms and concepts, like ITRS Geneos, OpenTelemetry agents like Grafana Alloy. Grafana Cloud and Datadog. · Deep understanding of security protocols: SSL/TLS, SASL, LDAP, etc. and role-based authentication. · Experience working in telemetry monitoring (alerts, events, logs, metrics, and traces). · Experience working in Linux/Unix, Windows, and virtualized environment. · Understanding of cloud environments (AWS, Azure, GCP, and PCF) · Familiarity with DNS, Load balancing, and firewalls. · Ability to analyze logs to diagnose issues. · Experience using other monitoring or analytics tools such as Splunk or Prometheus) · Desired: Scripting experience with Python, Bash, Powershell or similar. · Desired: Knowledge or experience in high level languages such as Java or Go. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery. What you'll do: Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future. Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis. Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists. Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds. Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation. What we're looking for: 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems. Proficiency in leveraging large datasets for performance analysis and gap identification. Proven ability to apply scientific methods to solve real-world problems on web-scale data Expertise in SQL and Python Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams Experience leading key technical projects and substantially influencing the scope and output of others Experience in digital ad delivery stacks preferred In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

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

You will be a strategic partner to product, engineering, and trust and safety teams, responsible for defining evaluation frameworks, leading experiments (A/B, quasi-experiments, etc.), and turning offline and live model performance into product improvements. This role requires a strong track record in startup-style experimentation (moving quickly with scrappy but rigorous methods) and product experimentation at scale. The ideal candidate will also bring proven experience in leading and managing teams to deliver high-impact data science work. 100% remote Salary Range $120,000 - $260,000 Essential Job Functions ● Lead end-to-end experimentation: hypothesis generation, metric design, experiment design (A/B, multivariate, sequential, etc.), analysis, and interpretation. ● Build and maintain evaluation frameworks for LLMs: correctness, consistency, safety, hallucination detection, bias/fairness, etc. ● Develop predictive models, classification/ranking systems, and heuristics to improve product features related to AI/language generation. ● Collaborate with prompt engineers & model builders to test prompt strategies, fine-tuning, or model selection; work on failure modes/error analysis. ● Automate experiment pipelines: dashboards, monitoring, alerting, instrumentation. Ensure data quality & measurement integrity. ● Use causal inference / observational studies when randomized experiments are not feasible. ● Present findings and recommendations to both technical and non-technical leadership; influence roadmap decisions. ● Drive experimentation in startup-like environments: rapid iteration, learning from limited data, and balancing speed with rigor. ● Shape large-scale product experimentation: define frameworks for experimentation at scale and integrate results into product strategy. ● Lead and mentor teams of data scientists, analysts, and engineers; set best practices for experiment design and AI product evaluation. Requirements ~8-12+ years of experience in data science / ML roles, ideally with experiment design/product analytics. Proven track record in both startup-style and large-scale product experimentation. Experience leading teams, setting strategy, and driving execution in cross-functional environments. Strong background with statistical methods, causal inference, and rigorous measurement. Experience using LLMs / NLP / AI / prompt engineering or a closely related field. Excellent coding skills in Python (or similar), strong SQL, experience building and deploying models or analytic pipelines. Ability to work in cross-functional teams, translate technical results into business or product changes. Strong communication skills; ability to explain complex analyses to non-technical stakeholders. Preferred Qualifications Experience fine-tuning or working with multiple LLM providers / APIs. Experience with experiment platforms or building internal tooling for experimentation & model evaluation. Experience in voice / ASR or other multi-modal data. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

Job Title: Workday Data Conversion Consultant Job Type: Full Time/Salary - must be eligible to work in the United States and not require sponsorship Compensation: $140,000 - $170,000 plus bonus About Meridian Partners Meridian Partners, LLC is a minority-owned, nine-time Inc. 5000 honoree and one of the nation's fastest-growing small businesses. For over 20 years, we've helped public sector and commercial organizations modernize and maximize their ERP and Workday investments, delivering solutions that improve communities nationwide. We offer a collaborative, fast-growing consulting environment where Workday professionals can build meaningful and rewarding careers. The Opportunity Meridian Partners is seeking an experienced Workday Data Conversion Consultant to lead data migration efforts for Workday HCM and Financials implementations. In this role, you will design and execute end-to-end data conversion strategies, ensuring accurate, secure, and timely migration of legacy data into Workday. You'll collaborate closely with functional consultants, technical teams, and client stakeholders throughout planning, testing, and go-live. What You'll Do Lead end-to-end Workday data conversion for mid-sized and enterprise implementations Define data conversion strategy, mapping, transformation, and timelines Build and execute EIBs, iLoads, and Workday Studio integrations Perform mock conversions, data validation, reconciliation, and defect resolution Support testing, cutover, go-live, and post-go-live data activities Serve as the primary data conversion SME for clients What You Bring 3+ years of Workday implementation experience with 3+ full lifecycle data conversions Workday Data Conversion Certification or other relevant certifications (Workday Integrations, Workday Studio, Workday Prism, etc.) Strong expertise in Workday HCM and Financials data structures Hands-on experience with EIBs, iLoads, and Workday Studio Proficiency in SQL, Excel, CSV transformations, and data validation Knowledge of data security and compliance requirements Excellent client-facing communication skills Workday Data Conversion Certification Willingness to travel up to 30% Why Meridian Generous PTO 401(k) with company match and immediate vesting Company-paid life insurance Financial coaching, EAP, and caregiver support Health, FSA/HSA, adoption assistance, and marketplace perks Optional disability and supplemental coverage

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

Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Data Scientist, you will be responsible for algorithm and methodology development for an innovative company using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results for our customers, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Build, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 3-6 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $120,000-$145,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Job Description Task Force Talent is seeking data scientists for a very well-funded Series C company working on insider threat and supply chain security problems. Target salary range is 150k to 200k+, plus equity, depending on experience level and location. Please note that although this is a data science position, the company is looking for skill sets much closer to software engineering. This is NOT a role focused on just on statistical analysis or building dashboards. Candidates will have to pass technical interviews similar to software engineering interviews. The company is profitable and growing fast with approximately 150+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT, with a hybrid (typically 3 days/week in the office) schedule; however, those hours are flexible to accommodate family/childcare and traffic as the goal of in-office hours is to know your team better. Benefits Company Equity Options and 401(k) Plan Unlimited PTO and Wellness Reimbursement U.S. Holidays Paid Parental Leave Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required; however, employment is open to U.S. citizens only at this time. ____________________________________________________________________________________________________________________________________________ Qualifications MUST be a U.S. citizen (no permanent residents, no visa sponsorship); while no clearance is required, candidates must be clearance-eligible. AT LEAST 3+ years (ideally 5+ to be most competitive) of experience in data science and/or analytics MS or BS in an engineering (preferred) or quantitative field (Science, Economics, Statistics) with a background in programming. Strong proficiency in Python, SQL, R or comparable languages Experience with large-scale data analysis and statistical modeling Ability to transform complex data into actionable insights Strong project management and prioritization skills Experience with Elasticsearch preferred Proven ability to work independently and as part of a team Strong communication skills for technical and non-technical audiences BONUS: Foreign language fluency, particularly languages associated with threat actors. ____________________________________________________________________________________________________________________________________________ Interview Process This company typically has a phone screen, followed by a coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. About Us Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series C startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium-sized government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! ____________________________________________________________________________________________________________________________________________ Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ***************************************** (Terms and conditions apply.) If you don't see the perfect fit, simply use our general application at: ****************************************************************************************

First San Francisco Partners is a business advisory and enterprise information management (EIM) consultancy dedicated to helping companies leverage their data to improve strategic decision-making, reduce risk, create operational efficiencies and fuel unprecedented business success. Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data. Job Responsibilities and Duties We have immediate opportunities for experienced Global Data Privacy and Data Governance Consultants. This role will be responsible for assessing data management environments and governance capabilities to make data actionable for the business and turn information into value. Conduct data management maturity assessments and identify pain points for capabilities including data quality, governance, architecture, analytics, metadata management, master data management, etc. Build future state governance strategy and roadmap.. Execute global data privacy / data protection compliance programs including oversight and testing of adherence to compliance requirements. Justify the roadmap by building a strong business case with qualitative and quantitative analysis Execute the governance initiatives such as establishing data governance programs/committees, data dictionary/glossary, data lineage, data profiling, data quality improvement efforts, business-IT coordination, project management alignment, etc. Demonstrate a rigorous, and analytical problem-solving approach, leading information gathering sessions and preparing and delivering client presentations and work products/prototypes Provide thought leadership, frameworks, best practices required to deliver effective data governance solutions to clients. Techncial knowledge of MDM, SAP and ERP a plus! Skills and Qualifications 5+ years of data governance, preferably in a consulting environment. Experience leading GDPR Projects. In-depth knowledge of data governance and data management concepts, approaches, and tools and the role of data governance in the successful implementation of data strategy. Minimum of 5 to 7 years experience leading multi-site global data privacy / data protection programs Extensive knowledge of global data privacy / data protection laws and regulations including, but not limited to those impacting Europe, Asia, Canada, Australia and the U.S. Extensive knowledge of privacy principles (e.g. Choice and Consent) underlying the various global data privacy / data protection regulations Hands on experience with global data privacy / data protection compliance programs including oversight and testing of adherence to compliance requirements Experience creating dashboards to track progress of the global data privacy / data protection compliance Demonstrated ability to establish effective working partnerships with both internal global shared services teams - Legal, Compliance and Risk - and external parties, including regulators Hands on experience leading privacy impact assessments and incorporating privacy by design into processes, including Information Technology processes / methodologies Hands on experience with vendor selection and due diligence, particularly related to data privacy / data protection requirements and best practices Experience working closely with information security programs ensuring the proper data security measures are in place and tested regularly, particularly related to data privacy / data protection requirements and best practices (e.g. pseudonymization and encryption) Background creating data breach notification plans and processes• Hands on experience with cross-border transfer mechanisms (e.g. Binding Corporate Rules)• Experience creating and conducting global data privacy / data protection training programs. Project management and implementation experience is required. Advanced analytical, problem solving, negotiation and organizational skills with demonstrated ability to multi-task, organize, prioritize and meet deadlines. Strong written/oral communication and presentation skills - Ability to explain value of data governance to both business and technical stakeholders. Ability to analyze complex environments, distill concepts and present to clients. Self-motivated and able to work independently as well as in a team environment. Bachelor's Degree with strong data understanding through experience. Ability to travel to client site 20%-50%. DAMA Certified Data Management Professional (CDMP) a plus CIPP certifications, in particular CIPP/E and CIPM, are highly desirableP Requirements Must be able to travel 50% to client sites. Must be able to work remotely No phone calls please.

Are you a detail-oriented consulting professional with a passion for delivering impactful software implementations? Do you excel at leading data migration projects, ensuring accuracy and integrity in every step of the process? Are you eager to collaborate with diverse teams to transform how investment management firms manage their operations? If so, we invite you to be a part of our innovative team. As a Data Migration Consultant at Ridgeline, you will be responsible for end-to-end functional implementations of the Ridgeline enterprise cloud software for investment management customers. At the intersection of investment management and technology, you will directly interact with both internal and customer stakeholders to define and deliver an agreed upon scope of services with an emphasis on data migrations. A consultative approach, innovative mindset, and collaborative spirit will be key as you build a track record of successful go-lives and make a meaningful impact on an industry primed for change. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we'd love to meet you. The Impact you have Lead data conversion projects from inception to completion, ensuring data integrity, accuracy, and accessibility. Collaborate with the implementation team and customers to gather requirements, understand their client management, portfolio accounting and performance data needs. Perform data mapping, transformation, and cleansing activities to meet project specifications. Validate, troubleshoot, and resolve any variances between source data and Ridgeline system generated data during the data conversion process, providing technical support and guidance to customers. Coordinate closely with project managers and functional consultants to ensure dependencies are identified and accurately accounted for as part of the broader onboarding process. Partner with Data Science team to improve inefficient processes, enhance system automation, and improve accuracy. Understand and apply Ridgeline's value proposition and leverages our established implementation methodology to provide holistic solutions. Deliver accurate and timely responses to customers and the implementation team (verbal and written) related to data migration tasks. Contribute to department broader Customer Success initiatives to improve the onboarding experience. What we look for Bachelor's or Master's degree in Finance, Accounting, or Economics. 5+ years of experience within the investment management industry. Strong knowledge of financial instrument types, asset management industry, and data related workflows (reconciliation, data flows, and end user reporting). In-depth knowledge of portfolio accounting systems and performance measurement methodologies, including financial transaction types and asset classes (equities, fixed income, and FX). Strong communication and client-facing skills, with the ability to translate technical concepts to non-technical stakeholders. Strong experience in SQL, data integration ETL tools and MS Excel. Proven track record of managing complex data projects from planning through execution. Excellent problem-solving abilities and attention to detail. Ability to work independently and in team settings, managing multiple priorities under tight deadlines. Bonus Project management skills and/or experience leading successful implementations of enterprise SaaS solutions. Understanding of Agile principles and software development lifecycles. Experience coaching customers around tech stack, tooling, and processes. Comfortable working with Slack, JIRA/Confluence, and professional services applications such as Kantata. Basic understanding of AWS, APIs, and serverless technology. Chartered Financial Analyst designation a plus. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America's Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits The cash compensation amount for this role is targeted at $128,000-$153,000 OTE. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Remote

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home. As a leader in the home services software-as-a-service (“SaaS”) space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies. In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Data Scientist, Insurance Risk and Pricing Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Scientist, Insurance Risk and Pricing We are looking for a results-driven Data Scientist to join our high-impact team focused on transforming the insurance and home services industries. You will play a key role in leveraging Porch's unique property data to drive innovation, improve risk understanding, and optimize pricing strategies. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about delivering measurable business value. What You Will Do As A Data Scientist, Insurance Risk and Pricing Model Development: Build and deploy advanced predictive models that support pricing, retention, and customer satisfaction initiatives. Data Exploration & Analysis: Conduct deep-dive analyses to uncover insights that inform strategic decisions across the business. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to scope projects and integrate data science solutions into operational workflows. Innovation & Impact: Contribute to a culture of experimentation and continuous improvement, stay up to date on new technologies and innovation, identifying new opportunities to apply data science for competitive advantage. What You Will Bring As A Data Scientist, Insurance Risk and Pricing At least 5 years of experience in data science Proficiency in Python and R, and strong SQL skills. Experience building and deploying in high traffic environments Solid understanding of statistical modeling, machine learning, and data wrangling. Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP). Strong communication skills and the ability to translate complex data into actionable insights. Preferred Experience in insurance pricing and risk quantification Exposure to experimentation frameworks and causal inference methods. Actuarial Certifications ACAS and/or FCAS The application window for this position is anticipated to close in 2 weeks (10 business days) from 10/23/2025 Please know this may change based on business and interviewing needs. At this time, Porch Group does not consider applicants from the following states or jurisdictions for Remote positions: Alaska, Delaware, Hawaii, Iowa, Maine, Mississippi, Montana, New Hampshire, West Virginia, or the District of Columbia. What You Will Get As A Porch Group Team Member Pay Range*: $138,800 - $194,300 *Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location. Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals. Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing. Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose. Critical Illness, Hospital Indemnity and Accident plans are offered on a voluntary basis. We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options. We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans. Both traditional and Roth 401(k) plans are available with a discretionary employer match. Supportlinc is part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinical care and online access to confidential resources including will preparation. LifeBalance is a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more. Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness and other discounts programs. #LI-NH1 What's next? Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have! Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work. Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances. Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to the USCIS E-Verify website.

Do you love building games? Do you enjoy making something engaging and magical happen on the screen? Have you built some excellent gameplay systems? We're searching for a Senior Gameplay Engineer to help us maintain Torchlight 3 and craft the future of Echtra. We're a small game studio in San Francisco with a team of veteran game developers. At Echtra, we value diversity and support work-life balance. We have great benefits, an open vacation policy, and flexible schedules. As a Senior Gameplay Engineer, you will understand the game design and make it a reality. Each day, you will collaborate with other engineers, designers, and artists to craft a great user experience. You will decide what's needed and take the lead on building and polishing it. Requirements: You're comfortable working in C++You've built multiple gameplay systems before and have shipped them to users You're at home working on a large game engine Pluses: Experience building RPG gameplay systems.Experience working with Unreal Engine 4Experience shipping on a major console like XBox or PlayStationA love and passion for gaming

What we are looking for: As a Gameplay Engineer, you will work closely with Design, Animation, and Audio to create new gameplay experiences and take ownership over large gameplay features. You will be working on an early-stage incubation project so a flexible mindset is necessary, and your opportunity to participate in design and have your voice as part of the product will be high. Requirements What we will do together: Contribute to the design of our gameplay systems Develop, modify, and debug gameplay software in script and C/C++ Deploy, optimize and test gameplay software on PC. Collaborate with other internal departments (art, design, audio, QA, etc.) Document software and features for internal and external teams Participate in the code review process What you will bring: Experience developing games professionally, and shipping AAA titles Experience using Unreal Engine 4/5 A keen analytical mind, with strong problem-solving skills Strong C++ skills and the ability to code and architect gameplay mechanics and tools Strong math skills Well versed in games and the ability to articulate what is strong/weak about the design of existing games Excellent communication and interpersonal skills Self-motivated, strong work ethic, and able to work independently Creativity in problem-solving and the ability to think outside of the established solutions Keen interest in games Benefits Interested… a bit about Escape Velocity: Escape Velocity is a team of passionate, talented developers working at a studio that offers excellent benefits, on what we believe is a once-in-a-career project with a committed publisher. But that doesn't necessarily make us unique. What does make us special? We value the time, energy, and talent of our players and our colleagues. We want every hour spent developing and playing our games to be an incredibly rewarding and worthwhile use of your time. To that end, we are ‘Fully Remote' and support team members nearly anywhere in the world. We prioritize honesty, even when that means sharing bad news. We strive to give everyone autonomy so they can determine how best to work and play, and we care more about what you bring to the game and studio than how many hours you're clocking. We're dedicated to building a culture of play, which not only makes us better game makers, but also strengthens the bonds between us all. We believe in constant improvement across all areas - from the game itself to our production design - and are constantly re-evaluating how we spend our time to ensure that we're not wasting yours and we're all always working on the most important things. A few benefits you can expect from us: A generous PTO allowance Summer and Winter holidays studio closure (separate to PTO allowance) Private Medical & Dental Healthcare Private Mental Health scheme A generous annual Health & Wellbeing allowance Discretionary Studio Bonus Top range tech for your home set up Other benefits based on your region How to apply: Click apply and complete an application along with a Resume / CV. If we would like to move forward with your application, a member of the Recruiting Team will reach out to you and guide you through our process. Escape Velocity is proud to be an equal opportunity employer. We are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities. Applications will be considered regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

What is your role? As a Senior Gameplay Engineer at Eleventh Hour Games, you will play a key role in shaping the technical direction of EHG. You'll be responsible for building systems, mentoring engineers across gameplay and tools, and ensuring technical excellence throughout the pipeline. You will collaborate closely with design, art, and production teams to deliver innovative, performant, and scalable solutions. You will assist the Development Director in mentoring engineers, establish best practices, and help bridge high-level vision with hands-on engineering. The ideal candidate thrives in complex problem-solving, has deep expertise, and brings strong communication skills to drive collaboration across a fully remote, global team. Responsibilities: Play a key part in engineering efforts across core systems, gameplay features, tools, and pipelines Partner with design and art leadership to translate creative vision into technical solutions Establish and maintain engineering standards, workflows, and best practices Provide technical mentorship to engineers, driving code quality and professional growth Define performance targets and corresponding benchmarks Build scalable systems to support complex gameplay Improve engineering practices across the studio to ensure efficiency and sustainability Qualifications: 5+ years of professional game development experience History of shipping at least one AAA or large-scale AA title in a senior or principal engineering capacity Proficiency in C++ or C# Experience optimizing performance across platforms (PC and console) Background in systems design, with ability to build maintainable, scalable solutions Experience in mentoring engineers, code review, and setting technical standards Excellent cross-discipline collaboration and communication skills Pluses: Experience with multiplayer networking and online systems Knowledge of ARPGs, action combat systems, or similar Experience building for GAAS Why Eleventh Hour Games? EHG is a fast growing studio, focused on a passion for top-down action RPGs. We value open communication, close-knit teamwork, and opportunity for ownership and growth! Our mission is to gather and empower the next generation of creators to forge extraordinary games. Extraordinary games build passionate communities, which create passionate people. Passionate people turn into next year's creators. With our breakout title Last Epoch, we are moving fast into the next round of adventure! Flexible fully remote working arrangements US Employees 90% premium paid for employee, 100% premium paid for dependents health insurance US Employees 30% paid premium on Dental and Vision plans 35 Paid time off days, received at start of the year 401K for U.S. based employees EHG is an equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, please contact HR@eleventhhour.games. Please note, general employment questions cannot be accepted or processed this way.

Job Description **Please note that casino -style gaming experience is required. We take immense pride in the games we create and the team behind them. As a group of skilled and diverse professionals, we always ask ourselves, “What's next?” Our drive for continuous improvement pushes us to evolve, innovate, and strive for excellence in everything we do. Creativity and collaboration are at the core of our process. Each team member brings unique expertise, working independently yet cohesively to craft exceptional experiences. Our passion fuels us to surpass expectations, shape games that stand out, and get the essence of Las Vegas to players worldwide. While headquartered in Las Vegas, Nevada, we operate as a fully remote team, providing opportunities to those living anywhere in Nevada or Texas. We thrive on clear communication and strong connections, making our creative process seamless and successful. Qualifications & Responsibilities: Game Engineer creates front-end client software for slot games using an internal game engine, working on multiple projects per year in ownership and support roles. Responsibilities include designing, coding, debugging, maintaining, and optimizing game platform components while collaborating with QA and delivery teams. Actively participates in the agile scrum, setting up and managing development environments, and promoting high code standards. Requires 6+ years of experience in slot game development, front-end web applications, JavaScript (ES5), and at least one modern framework like Angular or React. Preferred skills include TypeScript, Node/NPM, build tools, and familiarity with ASP.NET MVC, CSS preprocessors, and Agile/Scrum methodologies. #hc163463