Auto-apply to these data science jobs

We’re hiring a Manager of Data Engineering & Analytics Consulting! Employment type: Full Time/Direct Hire Only (No Agencies) Location: Atlanta GA Metro, Washington DC Metro, Charlotte Metro, NYC, or Richmond, VA Location Type: Hybrid - Home Office/Local Ippon office (1-2 days per week onsite) About Ippon: The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, Data, and Software Engineering. Our culture and reputation is driven by our COACH values; our Ipponites are Collaborative, Open-minded, Adaptable, Courageous, and Hungry. About the position: The Manager of Data Engineering & Analytics Consulting leads project delivery, strengthens client relationships, and leads team development. This role blends technical leadership with people management, ensuring high-quality, on-time solutions that drive business value. The Manager also mentors consultants, supports pre-sales, and translates complex needs into practical data solutions across cloud, engineering, and analytics. Ideal for a results-driven, client-focused leader passionate about impact and growth. Roles and Responsibilities: Project Delivery & Technical Leadership: Lead and oversee the successful delivery of data engineering and analytics projects, ensuring outcomes align with client goals and contractual obligations Act as a hands-on contributor when needed, helping architect and implement data solutions across cloud platforms such as Snowflake. Support pre-sales efforts by participating in scoping calls, developing proposals, estimating effort, and presenting technical solutions to prospective clients Contribute to internal initiatives such as playbook development, accelerator design, or knowledge sharing to improve delivery efficiency and consistency Help drive continuous improvement by providing feedback on processes, tools, and methodologies across the practice Travel to client sites as needed, generally within the US, with an expectation of occasional multi-day trips depending on engagement needs Client & Team Development: Serve as the primary point of contact for client stakeholders, building trusted relationships and ensuring high levels of satisfaction throughout engagements Mentor, manage and develop consultants on both technical and consulting competencies, fostering a high-performing, collaborative team culture Identify upsell or cross-sell opportunities during delivery and collaborate with Client Success or Sales teams to convert them into formal engagements Represent the firm at industry events, meetups, or conferences to expand your network and promote the practice Competencies we are looking for: Minimum Requirements: 5+ years of experience in data engineering, analytics, or data consulting, with proven success in client-facing and delivery roles 3+ years of experience in modern cloud data platforms such as Snowflake, Databricks, Azure Synapse, or AWS Redshift 3+ years of experience coding in SQL and Python, with hands-on experience using PySpark for large-scale data processing 3+ years of experience with AWS-native ETL tools such as Glue, EMR, and Step Functions Demonstrated ability to lead project delivery, manage small technical teams, and translate business needs into scalable data solutions Willingness to travel for client engagements as needed Preferred Requirements: Prior experience in a consulting or professional services environment Familiarity with complex AWS environments and services such as S3, Athena, IAM, Lambda, Step Functions, Secrets Manager, API Gateway, SQS, SNS, Kinesis, DMS, Glue, and Direct Connect Experience supporting pre-sales efforts, including proposal development, scoping, and technical demos Exposure to data governance, quality frameworks, or enterprise data strategy initiatives Familiarity with AI/ML pipelines or integrating ML models into data solutions (POC or production) Proficiency with infrastructure-as-code tools such as Terraform, CloudFormation, or Kubernetes Excellent written and verbal communication skills, with the ability to present complex topics to technical and non-technical audiences What we offer: Great salary and benefits - Health (HDHP & PPO Plans), dental, and vision insurance, HSA, EAP, as well as a 401k with company match Work/life balance - Ippon offers generous PTO, parental leave, medical leave, and flexible schedules A fun, creative, and healthy work environment, focused on teamwork, knowledge-sharing, and exceptional delivery Opportunities to expand your portfolio and work with different companies and industries Career growth, up-skilling, cross-training, and leadership opportunities We value the diversity and different perspectives each of our employees bring to Ippon Technologies. Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran, or disability status. Visit us on LinkedIn or at https://ipponusa.com to learn more. So, do YOU speak Ippon?

Your Quest: Help make a big difference in healthcare access At Quest Analytics our team members can fulfill their quest to work in an innovative, collaborative, challenging and flexible environment supportive of personal growth every day. The team is driven to make healthcare more accessible for all Americans. We’re looking for a dedicated full-time Client Services Consultant to join our team. You will provide analytical support to our clients in solving hard problems in improving access to healthcare. The mission of the Client Services Consultant is to serve as the primary contact for our clients after the sale of our software solutions. The consultant is responsible for successful software implementation, maintenance and ongoing support and delivery of our cloud-based products as well as any consulting services purchased by the client. Our Consultants develop and maintain a deep understanding of their client's data and provider network management workflows to ensure that clients are consistently using the platform to achieve their strategic objectives. This role is ideal for you if you are someone who is analytically-minded and can communicate clearly, and are passionate about forming and growing relationships. If you are excited about working in a great workplace environment and eager to maintain that positive culture through your responsibilities and attitude, awesome at solving client issues with excellent service, then this is the right job for you! What you'll do: Develop comprehension of the client’s internal process for delivering data in a consistent manner and on a regular schedule Write SQL queries to bring data sets into the platform including data cleaning and standardization Build and deliver initial implementation per client specifications, discover expansion opportunities and adjust as needed along the way Train end-users in the features and functionality of the platform Be a key player in coordinating adoption efforts with client partners Facilitate and document monthly meetings with clients Promote platform utilization and return on investment analyses to support renewal conversations Clearly and thoroughly communicate and document any product enhancement suggestions or improvement performance challenges Collaborate with product and development team when additional details are requested about client needs Perform user acceptance testing releases before moving to production What it requires: Prior Client Implementation / Consultant experience preferably with health insurance payor or healthcare software company Bachelor's degree or combination of work experience Must have at least 2 years work experience in Microsoft Excel or Access Proficiency working with data in SQL is preferred Deep analytical skill set Strong business aptitude Innovative with the ability to think outside the box Superior Communication Skills Desire to cultivate deep client relationships Ability to thrive in an unstructured and fast-paced environment Demonstrate interpersonal strengths including a personable and approachable demeanor Strong collaborative spirit What you’ll appreciate: •Workplace flexibility – you choose between remote, hybrid or in-office. •Company paid employee medical, dental and vision •Competitive salary and success sharing bonus •Flexible vacation with no cap, plus sick time and holidays •An entrepreneurial culture that won’t limit you to a job description •Being listened to, valued, appreciated -- and having your contributions rewarded •Enjoying your work each day with a great group of people Apply TODAY! careers.questanalytics.com About Quest Analytics For more than 30 years, we’ve been improving provider network management one groundbreaking innovation at a time. 95% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable

hatch I.T. is partnering with VIA to find a Data Specialist. See details below: About the Role: As a Data Specialist at VIA, you will play a pivotal role in the growth of their solutions. Your key responsibilities will include translating customer domain knowledge into data infrastructure requirements, designing and automating data ingestion and cleaning processes, transforming raw data into insightful visualizations, and ensuring the quality of our data-driven solutions. You will manage source documents to verify the accuracy of information, ensure data quality, and manage the incorporation of data into VIA’s work streams (database, modeling, and reporting decisions, to name a few). You will work on an Agile product delivery team that may include developers, data and modeling specialists, and client delivery professionals. In this role, you will: Understand existing data ingestion and cleaning processes, and take responsibility for further refinement and implementation Explore raw customer data to get a better understanding of the different files, columns, and characteristics (e.g., column averages, expected ranges, trends, standard deviations, etc.) Understand customer needs and requirements, and make suggestions based on data Work with VIA’s client delivery team and the customer to validate assumptions and resolve issues with the data Own the ingestion of data into relational and/or non-relational databases standardized across customers, enabling data to connect to the rest of the data science pipeline Leverage VIA libraries to ingest raw data from customers Perform cleaning of raw data Design end-to-end data pipelines Coordinate with internal stakeholders and customers when information is missing or discrepancies are found Perform quality control, identifying errors or discrepancies in data and data products, including automated and manual testing Translate customer domain knowledge to create automated analyses and insights Document assumptions and actions made during the data cleaning and wrangling process to provide traceability Utilize data visualization tools to analyze data and craft compelling visual representations Contribute to the continual improvement of internal tools for data cleaning and data quality assessment by identifying key data-related challenges that are ideal candidates for automation Contribute to the delivery of data-based products to external customers, including data visualizations, data quality reports, and statistical analysis What you will bring to this role: 2+ years of experience in a data-driven role or equivalent in data-related research projects Bachelor’s or Master's degree in science, mathematics, engineering, or a data-driven field Competence in at least two of the following technologies: Database technologies (e.g., SQL, PostgreSQL) Python, R, or equivalent programming with data science libraries (e.g., NumPy, pandas) Data visualization tools (e.g.,Plotly, seaborn, ggplot) Ability to break down complex problems into actionable steps Passionate about data quality A self-starter attitude and demonstrated ability to learn new technologies quickly Experience in the following is a plus: Data dashboarding tools (e.g., Streamlit, Tableau, Dash) Data pipelining (e.g., ETL workflows and tools)

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Product Manager, Hive Data Role The Hive Data team plays a central role at Hive in enabling massive amounts of data to be labeled in an accurate, efficient, and scalable way. You'll take a critical part in improving a platform of services and tools used by millions, and which is paramount to the success of bleeding edge ML products and research. As a Product Manager, you will be an essential part of the Hive team, working effectively across all disciplines to build, launch, and iterate. You will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You will play a central role in helping each team succeed and promoting productivity, efficiency, risk management, and continuous improvement. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects. Responsibilities Oversee product execution from inception to delivery Gain deep understanding of our enterprise customers’ needs Mock up concepts, write specs, cut tickets, write copy and do whatever it takes to ship your products Work closely with teams comprised of engineers, designers, sales, and play a critical role in planning of projects to ensure the timely delivery of quality products and features Help teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles Facilitate the resolution of timing conflicts, project collisions, and resourcing constraints, and identify and remove bottlenecks Work with leadership to determine top priorities and ensure development work reflects those priorities Communicate plans, status, risks (and mitigations) to all stakeholders, escalate urgent issues appropriately and drive them to closure Measure engineering velocity, and help identify and establish new best practices to improve the speed and security at which projects are delivered Hold yourself and team members accountable to timelines Maintain awareness of industry best practices for data maintenance handling as it relates to your role Adhere to policies, guidelines and procedures pertaining to the protection of information assets Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements BA / BS, preferably in computer science or a related technical field A track record of building web products, preferably in a startup or fast-paced environment You have technical experience with any of the following: data, analytics, design or engineering Technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike Strong quantitative background to support data-informed decision making Experience working with engineering, design, and customers in enterprise software or related technical fields Experience leading a team, and effectively implementing team goals and deadlines Detail oriented; organized; collaborative; hands on Exceptionally clear and precise communication skills Self-starter, capable of staying on track while pursuing solutions with minimal supervision Ability to work under pressure, meet deadlines, and handle multiple projects simultaneously You are comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic You can turn incomplete, conflicting, or ambiguous inputs into solid action plans Beyond just shipping new products, you obsess about continuous product improvement Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $120,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

With 1,000 intelligence professionals, over $300M in sales, and serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! Senior Data Engineer, Graph Quality  Recorded Future combats cyber security threats by delivering actionable intelligence from the Security Intelligence Graph .  We are looking for a Data Engineer to improve the Security Intelligence Graph. As a Data Engineer, you will build production-grade pipelines to drive data convergence from various sources within the graph, ensure that Indicators of Compromise (IOCs) are properly attributed, and improve the quality of the graph at scale. What You'll Do:  Work with the Graph Quality team to align, analyze, and ingest asset maps into the Security Intelligence Graph Develop, productize, monitor, and maintain data pipelines to analyze and ingest data at scale Build tools and APIs to facilitate access to data and analytics developed from the intelligence graph Analyze and explain patterns in data to drive business-critical decisions Create technical project plans and drive the successful execution of projects, with input from our Product team and other developers on the team Collaborate with Data Scientists, Data Engineers, and business leaders to develop and refine technical solutions Onboard and guide junior members of the team Assist in setting team goals, planning sprints, and leading Agile scrum meetings What You'll Bring:  4+ years of Python programming 2+ years of experience with cloud computing tools, e.g. from AWS, Azure, or Google Cloud Experience writing scalable, production-grade applications and ETL/ELT pipelines Efficient & accurate problem solving skills, including the ability to debug both software and data  Proven ability to analyze data and apply statistical techniques to draw accurate, impactful conclusions Proven success in delivering projects from design and implementation to release Excellent attention to detail & ability to work independently while delivering high-quality results Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation  Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team Preferred Qualifications: Familiarity with both batch and streaming pipelines Familiarity with any of the following: message buses (e.g. Kafka, RabbitMQ), NoSQL databases (e.g. MongoDB, AWS Neptune, Neo4j), ElasticSearch  Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience Exposure to ML approaches, including experience productizing ML models Experience with developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI) Leadership experience, with a track record of presenting information to stakeholders with varying levels of technical expertise Why should you join Recorded Future? Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info?   Blog & Podcast : Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence Linkedin , Instagram  &  Twitter : What’s happening at Recorded Future The Record : The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline : History of Recorded Future Recognition : Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles.  By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com   Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law. Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying and driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to ensure we are building a data-driven culture. About the Role: As a Core Product Data Scientist, you will partner closely with Product, Engineering, Design, and Data Science teams to build amazing products that will drive users to Quizlet. You will bring together insights across our vast user data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business metrics, set company-wide goals, and present quantitative product research. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office at a minimum of three days a week : Monday, Wednesday, and Thursday, and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. In this role, you will: Focus on driving business insights through data Develop analytical frameworks and foundations to enable actions and next steps in the business Embed within a specific product pod, collaborating with partners in product, engineering, design, and user research to go deep into one part of Quizlet’s business Develop experimentation strategy and support A/B testing through the entire experimentation life cycle, from inception to measurement, analysis, and synthesizing recommendations Explore, develop, and present insights to the whole company that inform product roadmap and strategy, using one of the world’s largest learning science databases Drive maturity and excellence in the way we measure success of our business What you bring to the table: Senior Data Scientist: 3+ years of experience in data science at a consumer internet company Staff Data Scientist: 5+ years of experience in data science at a consumer internet company; or 3+ years of experience with a Masters or PhD Required to have experience running A/B tests and using statistical techniques for modeling and predicting user behavior Proven experience working with product teams to drive product strategy and tactics with insights and modeling Proven experience with creating and owning resilient ETLs and dashboards that power business metrics Advanced SQL skills (window functions, sub-queries, etc.) Strong communication skills: effectively synthesize, visualize, and communicate your ideas to others Bonus points if you have: Experience with dbt Experience writing ETL using Airflow Expertise in Python for data manipulation and analyses Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields Compensation, Benefits & Perks: Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $160,000 - $230,000, depending on location and experience, as well as company stock options Collaborate with your manager and team to create a healthy work-life balance 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice) Employer-sponsored 401k plan with company match Access to LinkedIn Learning and other resources to support professional growth Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits 40 hours of annual paid time off to participate in volunteer programs of choice Why Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

As a Senior Data Engineer, you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business impact. Technical Leadership & Strategy: Architect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines. Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls. Lead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions). Stay updated with emerging trends, evaluating and integrating new technologies. Data Architecture & Infrastructure: Design and implement scalable data architecture that ensures high availability, security, and performance. Define best practices for data modeling, storage, retrieval, and governance. Optimize database structures, schemas, indexing, and partitioning for efficient query performance. Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools. Data Pipelines & ETL Development: Architect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation. Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt. Monitor, troubleshoot, and optimize data pipeline performance. Data Governance, Security & Compliance: Implement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC). Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and enforce security best practices. Develop frameworks for data quality validation, anomaly detection, and integrity checks. Business & Stakeholder Engagement: Collaborate with stakeholders (clients, PMs) to translate business needs into technical specifications and scalable architectures. Develop interactive dashboards and reporting solutions to provide actionable insights. Innovation & Mentorship: Lead technical discussions, workshops, and knowledge-sharing sessions within the team. Mentor junior engineers, conduct code reviews, and set best practices. Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions. Technical Skills & Experience: 7+ years of experience in data engineering with a proven track record of building scalable data solutions. Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle). Proficiency in Python (or similar languages) for data processing and automation. Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow) Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks Expertise in data modeling. Strong knowledge of data security, governance, and compliance frameworks. Leadership & Soft Skills: Proven track record of leading data projects, including migrations, warehousing, and real-time analytics. Ability to lead cross-functional teams and manage client expectations. Strong problem-solving skills for debugging distributed systems and resolving data anomalies. Experience with Agile/Scrum methodologies, including tools like Jira, Git. Excellent communication and stakeholder management skills. Nice-to-Have (Bonus Skills): Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer). Experience with ML pipelines (e.g., feature stores, model deployment). Contributions to open-source data projects. Applicant Eligibility: Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply. We are not accepting applicants from recruiters or staffing agencies

American College of Radiology (ACR) is a progressive membership organization representing nearly 40,000 medical specialists in radiological care. As a member of our team, you will join a world leader in patient-centered care advocacy, policy and clinical research, quality and safety. Our culture encourages innovation, diversity, integrity and leadership. A nonprofit 501(c)(3), ACR (the American College of Radiology) has over 500 purpose-driven employees in the Greater Washington, DC and Philadelphia region. If you share our core values of: Integrity Visionary Excellence Leadership Transparency Member-Driven we need you on our team! We are seeking a highly skilled and motivated Association Membership Data Analyst to join our team. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large volumes of membership data to provide valuable insights and support data-driven decision-making processes. Your primary focus will be on leveraging your strong SQL skills to extract, manipulate, and report data from various sources-including Data Lake (S3), Redshift, and Salesforce. You will also create simple dashboards to deliver actionable insights. Responsibilities: Utilize such tools as SQL, Redshift, Salesforce, and Tableau for data extraction, manipulation, and visualization. Work closely with IT and department staff to create dashboards and regular and ad-hoc reports to support data-driven decision-making. Ensure the accuracy and integrity of membership data across all platforms and engage in data cleanup processes. Work with the member services team to help engage in data-driven process improvements and establish long-term best practices regarding data management. Qualifications: Required Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 3+ years of work experience in a non-profit or membership-based association as a Data Analyst or Reporting Analyst, with a focus on utilizing SQL for data extraction and reporting. Proficiency in query optimization techniques and performance tuning. Familiarity with member databases or client relationship management systems, such as Salesforce and/or Nimble Solid understanding of statistical concepts and data analysis techniques. Strong problem-solving and critical-thinking skills. Ability to work independently and as part of a team in a fast-paced environment. Excellent communication and presentation skills. Preferred AWS Experience, especially AWS Redshift and AWS Athena Experience in creating and maintaining dashboards using Tableau. Experience working with Salesforce Objects. While working a Remote schedule, qualified candidates must be able to maintain a schedule of working 8:30 - 5:00P (EST). When working remotely, workers must be self-motivated, possess excellent time management, and be highly organized. Reliable internet connection is a must! ACR is committed to a total rewards compensation philosophy that includes base salary in addition to our full suite of comprehensive benefits. ACR's goal is to pay competitively and equitably. It is typical for individuals to be hired in the entry to middle of the range for their role, and compensation decisions depend on each case's circumstances. A reasonable estimate of the annual compensation range for this position is $80,550 - $107,450. If you would like to put your experience to great use in a professional team-oriented environment, please apply online. To learn more about ACR's rewarding employee experience, culture, and benefits, visit: https://www.acr.org/Jobs ACR offers a rewarding employee experience: innovative culture, professional growth potential, competitive compensation and an exceptional benefits package, including a defined contribution pension plan, 403(b); generous paid time off package; insurance plans with the leading providers; flexible spending; tuition reimbursement; training opportunities; and wellness reimbursement. ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~*~

Competitive Pay $20+/hr. Full benefit package- Medical, Dental, Vision, Life Insurance and more! Generous PTO! POSITION SPECIFIC DUTIES & RESPONSIBILITIES: Create and maintain effective tracking, monitoring and reporting mechanisms for required data and information for EE Team. Enter data for students and clients including enrollment, testing scores, attendance, hours tracking and other records. Become a subject matter expert in multiple, unique, data tracking systems. Prepare multiple reports on a weekly, monthly, and quarterly basis to track progress toward EE goals along with additional reports as needed. Use reporting to regularly schedule required testing for grant compliance. Work closely with Teachers and Program Coordinator to identify students ready to test based on classroom performance. Become certified as a PearsonVUE GED proctor and abide by all regulations to maintain credentialing. Schedule and proctor all student testing in jail, community, mobile, and office environments and ensure results are recorded in a timely and accurate manner. Work collaboratively with EE Team to be trained on data reporting, review, prepare and disseminate aggregated findings to select team members for data analysis. Identify and implement data integrity and collection enhancements. Identify and report errors/inaccurate data sets and possible remedies to program leadership. Troubleshoot for solutions in all data-related problem areas. Monitor overall data integrity utilizing scheduled processes with automated notifications. Ensure consistency and accuracy of data collection. Responsible for the quality and timeliness of all data report activities. Promptly communicate negative trends and data declines to Program Coordinator, EE Team Supervisor and Program Director. CERTIFICATIONS/LICENSES: Must possess a valid Driver License and satisfactory driving record and use personal automobile to travel to locations other than primary office. Proof of automobile insurance required. Must possess a valid Driver License and satisfactory driving record to use agency automobile to travel to locations other than primary office and/or for the transportation of clients. Must be able to pass a background check for county jails CCBHC Model of Care Family & Children's Services works to heal hurting and abused children, strengthen families, and provide hope and a path to recovery for those battling mental illness and addiction. You will be working in an innovative and dynamic environment using a new transformative model of care Certified Community Behavioral Health Clinic (CCBHC). This model is characterized by innovative, team-based approach and whole person care for adults and children with a range of complex mental health and substance use challenges. Utilizing multi-disciplinary teams, staff work collaboratively to provide a coordinated effort to enhance client recovery. Robust CCBHC services often result in better client outcomes and quality of care due to: Increased access to care and crisis services Expanded traditional community mental health and substance use services. Added Care Coordination and physical health screening for mental health clients Greater access to Social Services for clients' economic and social needs Increased specialized services for veterans, those most in need, and those impacted by the opioid crisis. Drug Free Workplace Policy This job is classified as a "safety-sensitive" position as defined by the Oklahoma Medical Marijuana and Patient Protection Act. Possession of a medical marijuana license will not exclude any applicant; however all employees are subject to the Family & Children's Services Drug Free Workplace Policy.

Who We Are Qvest.US is the global leader in technology and business consulting for media, entertainment, consumer packaged goods and retail. We bring our clients closer to their customers, data, and content. With a global footprint across five continents, we have deep expertise across Program Management, Digital Media Supply Chain, IP & Rights Management, Data & Analytics, GenAI/ML, Customer Experience and Salesforce, Content Security, & Media Transformation. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders. What You'll Do Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations Proactively identify risks, issues and provide mitigation strategies Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement What You'll Bring Eagerness to help build and lead a best-in-class data practice 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment Experience with project planning, including tasks, budgeting, resource allocation and balancing 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar Experience designing and building relational database and/or data warehouses Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience A solid understanding of key BI trends and the BI vendor landscape Experience in Media & Entertainment and/or Consumer Products industries Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC) Cloud computing experience, whether with AWS or other vendors Ability to understand/design small-to-medium size data architectures Ability to automate data-related tasks using scripts and programming languages Ability to profile, explore, and analyze data to identify common data patterns Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields Familiarity with dbt ( https://getdbt.com ) Life at Qvest We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest.US is currently 350+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment Opportunity Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

The Brand Sundays for Dogs is a venture backed direct-to-consumer brand with the goal to make life easier on the modern dog parent so that they may spend more quality time with their dog. We enable dog parents to not have to choose between quality and convenience when seeking the world’s best dog food. We are a team dedicated to the mission and consider ourselves skydivers, not plane passengers. We decide fast, fail fast and learn fast. The Team & The Role The Data & Analytics team at Sundays plays a key role in helping the business grow and scale. We are a small, collaborative team that partners closely with all areas of the business to uncover insights and guide decisions. Our work touches everything from acquisition and campaign measurement to customer retention and business forecasting. We are looking for a Senior Data & Business Analyst to take ownership of key analytical initiatives and help guide strategic priorities across the company. This role combines technical data expertise with strong business acumen. You will work directly with senior stakeholders, lead high-impact analyses, and bring clarity to complex questions using data. You will operate with autonomy and have visibility and influence across departments. This position is based in Cleveland, Ohio, and open to candidates able to work in a hybrid format with close collaboration alongside our Cleveland-based team. You will report to the Director of Data and partner closely with leaders across marketing, finance, operations, and executive leadership. Your day-to-day: Lead strategic analysis projects that inform marketing, retention, operations, and growth Build dashboards and reporting tools that support decision-making across departments Write complex SQL queries to explore large datasets and uncover actionable insights Connect marketing performance data (Meta, Google, email, influencer, etc.) with internal subscription and retention outcomes Partner with teams across the organization to define questions, scope data needs, and deliver recommendations Explore trends in customer behavior throughout the purchase and subscription lifecycle Ensure data is accurate, easy to access, and structured in a way that empowers non-technical teams to find and trust the insights they need Communicate findings clearly to both technical and non-technical audiences Contribute to a culture of experimentation, iteration, and self-service data-informed decision making Explore ways to integrate AI and automation to scale insight generation and reporting We'd love to hear from you if you have: 5 or more years of experience in data, analytics, and business intelligence Proven ability to operate with limited supervision and lead end-to-end analytics initiatives Track record of working independently, managing priorities, and driving projects forward with minimal oversight Expertise in SQL and experience working with large datasets (Snowflake experience is a plus) Experience using Python for data exploration and modeling Familiarity with BI tools such as Looker, Tableau, Sigma, or similar platforms Strong understanding of marketing performance data and how it ties to business KPIs Understanding of key DTC or subscription metrics like CAC, LTV, and retention Excellent communication skills and the ability to collaborate with non-technical stakeholders Interest and experience in how AI and automation can improve workflows, analysis, and decision-making across the business Located in the Cleveland, Ohio region and open to hybrid work schedule Why Join Us? Unlimited PTO – we trust you to take the time you need. Equity program – a chance to own part of the company! 401k plan with employer match – invest in your future. Annual work-from-home stipend – set up your workspace for success. Competitive Medical, Dental, Vision plans – company covers 80%. Sundays subscription for your pup! – because we care about your furry friends. Parental leave & PAWrental leave – support for growing families, both human and pet. Discounted pet insurance – keep your pets happy and healthy.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Discover, Nurture, and Adopt (DNA) division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. DNA is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). We are looking for a data scientist to contribute to the end-to-end model development using Diffusion Policy and Large Behavior Models (LBM) for automated driving. This role involves focusing on analyzing large-scale data, evaluating models, curating datasets, and optimizing performance to enhance automated driving systems. You will also develop algorithms, pipelines and key strategies to enhance and streamline scalable large fleet data and vendor data. You will work closely with machine learning researchers, software engineers, and roboticists to drive execution, manage dependencies, and accelerate the transition of research models into real-world deployment. This role offers a unique opportunity to drive innovative AI research into real-world deployment, shaping the future of automated driving. If you are passionate about building transformative AI-driven mobility solutions, we invite you to apply and help us advance the next generation of automated driving vehicle technology. Responsibilities Design and implement data strategies for collecting, sampling, labeling, and using large-scale datasets to train and validate Large Behavior Models (LBM) in automated driving scenarios. Develop metrics and evaluation frameworks for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, collaborating with machine learning engineers to fine-tune, debug, and optimize models for automated driving tasks. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Support the integration of multi-modal data sources (e.g., vision, radar, language, maps) into end-to-end driving models. Work closely with cross-functional teams to bridge the gap between research models and production deployment. Qualifications MS or PhD in related fields. 5+ years of experience in data science, machine learning, or a related field, with a focus on large-scale AI applications. Strong background in statistical analysis, data mining, and machine learning techniques. Proficiency in Python and SQL for data manipulation, analysis, and visualization. Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling). Experience in building machine learning algorithms and infrastructure, including data pre- and post-processing, sampling and curation, ablation studies, and evaluation. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML model evaluation. Familiarity with large-scale dataset management, including handling high-dimensional sensor data. Strong analytical and problem-solving skills, with the ability to interpret complex datasets and drive actionable insights. Experience working in cross-functional AI research and engineering teams. Bonus Qualifications Experience in automated driving technologies, including perception, prediction, planning, or sensor simulation. Experience in building or managing infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions. Experience working with temporal/sequential and/or spatial data. Hands-on experience with sensor data processing (e.g., camera, LiDAR, radar, IMU). Familiarity with automotive simulation tools and real-world autonomous vehicle testing. The pay range for this position at commencement of employment is expected to be between $201,600 and $302,400/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. What we're looking for We’re looking for an experienced Senior Engineer to join our Operational Data Store (ODS) team that delivers the services that provide the data to applications. The ideal candidate will be excited to take on the challenge of processing, storing and delivering the entire health records of millions of patients, providing low latency and high-availability for all operations. You are creative, innovative and love to run experiments to explore the paths to evolve and develop our platform as we scale. The ODS team is at the heart of everything at Zus. You will work on data services that operate on large scale data using a variety of AWS services (Fargate, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice and the team is responsible for deploying, maintaining, and operating its pipelines and services. As part of our team, you will Build and operate data services driving our applications and APIs Collaborate with team members and across Engineering to iteratively prototype and develop new functionality Provide technical leadership, contributing to the architecture and design of the teams systems Coach others to become better engineers Partner with product managers and other Zusers You're a good fit because Are scrappy and you move fast Have experience with operationally stable and cost efficient data services Enjoy owning your work and seeing it deploy safely in production Are jazzed to build backend services in Go Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation) Are excited to ~ finally! ~ enable a true digital revolution in healthcare Thrive amid the changing landscape of a growing and evolving startup Enjoy collaboration and solving unique problems Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally It would be awesome if you were Experienced in building and running large-scale systems in the cloud using Go Experienced in AWS DynamoDB Knowledgeable about application security Experienced in working with healthcare data and APIs Familiar with the FHIR and/or TEFCA standards We will consider remote applicants located outside the Boston metro who are excited to collaborate in person occasionally. This role will require some travel for in person meetings a few times per year. We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity • Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO • Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

We are seeking a highly analytical and technically skilled Data Reporting & Insights Analyst to join our growing Data Intelligence team. This individual will play a critical role in designing and delivering actionable data solutions that drive transparency, efficiency, and strategy execution across our Sales and Marketing teams. This is a hands-on role that combines advanced data visualization, data engineering, and business collaboration. The ideal candidate has experience in Power BI/Tableau and SQL and thrives on transforming complex data into clear, impactful stories. Apply Now! Success in this role would be achieved by: Design, build, and maintain interactive dashboards using Power BI to visualize KPIs, trends, and business opportunities. Partner with Sales and Marketing stakeholders to define reporting needs, identify insights, and build robust KPI tracking. Ensure timely and accurate entry of trade data into the internal CRM to support sales credit and compensation processes. Use SQL to extract, clean, and merge data from disparate systems (CRM, trade data, marketing platforms, etc.). Serve as a data translator between technical systems and business teams Experience and required skill set: 3–5 years of experience in data analytics, business intelligence, or a similar function—preferably in financial services or asset management. Strong expertise in Power BI or Tableau, data modeling, and report publishing. Proficient in SQL for data extraction, transformation, and automation. Experience working with CRM systems and understanding of sales and marketing processes. Comfortable communicating with cross-functional stakeholders and presenting to non-technical audiences. Highly detail-oriented with a strong sense of accountability and a proactive mindset Supplementary Skills and Desirable Experience Experience with Salesforce or similar CRM platforms. Familiarity with trade data or working with custodians/distributors. Understanding of financial products, portfolio strategies, or ETF ecosystems. The base salary range for this position is $70,000 – $80,000. In addition, employees are eligible for an annual discretionary bonus and competitive benefits package. Total compensation may vary based on factors such as location, role, company, department, experience and individual performance. About Us: WisdomTree is a global financial innovator, offering a well-diversified suite of exchange-traded products (ETPs), models, solutions and products leveraging blockchain technology. We empower investors and consumers to shape their future and support financial professionals to better serve their clients and grow their businesses. WisdomTree is leveraging the latest financial infrastructure to create products that provide access, transparency and an enhanced user experience. Building on our heritage of innovation, we are also developing and have launched next-generation digital products, services and structures, including digital or blockchain-enabled mutual funds and tokenized assets, as well as our blockchain-native digital wallet, WisdomTree Prime® and institutional platform, WisdomTree Connect ™. * *The WisdomTree Prime digital wallet and digital asset services and WisdomTree Connect institutional platform are made available through WisdomTree Digital Movement, Inc., a federally registered money services business, state-licensed money transmitter and financial technology company (NMLS ID: 2372500) or WisdomTree Digital Trust Company, LLC, in select U.S. jurisdictions and may be limited where prohibited by law. WisdomTree Digital Trust Company, LLC is chartered as a limited purpose trust company by the New York State Department of Financial Services to engage in virtual currency business. Visit https:// www.wisdomtreeprime.com , the WisdomTree Prime mobile app or https://wisdomtreeconnect.com for more information. Work Smart: Headquartered in New York City, WisdomTree embraces a “Work Smart” philosophy that transcends physical workspace, aiming to optimize productivity, efficiency and effectiveness. Employee time in the office generally is not prescribed, and team leaders are empowered to determine how their teams work best, based on their roles, which may include in-person, in-office engagement. Mission, Vision & Values: WisdomTree is committed to delivering a better investment and financial experience through the quality of our products and solutions, and finding alignment within our community on our core values: WisdomTree employees strive for Excellence & Innovation , work with Transparency & Accountability , and show each other Fairness & Respect. We welcome the applications of qualified individuals who will support this mission and thrive in our collaborative and empowering work environment. Learn more at www.wisdomtree.com WisdomTree is proud to be an Equal Opportunity Employer, committed to diversity and consideration of all applicants and existing employees for all positions, and we evaluate qualified applicants without regard to race, color, religion, creed, sex, gender, age, national origin or ancestry, ethnicity, physical or mental disability, veteran status, marital status, sexual orientation, pregnancy, citizenship status, genetic information, or any other status or condition protected by applicable law.

As an Autonomy Data Scientist, you analyze how the self-driving system performs across a wide range of real-world scenarios. Your work focuses on understanding disengagements, success rates, and other key metrics to assess system behavior, diagnose issues, and track progress over time. These insights are critical for guiding engineering decisions and operational strategy. By delivering clear, data-driven evaluations of autonomy performance, you help Zoox prioritize improvements, measure readiness, and accelerate safe and scalable deployment. In this role, you will Analyze autonomy performance metrics such as disengagements, success rates, and scenario outcomes to assess system readiness Identify trends, anomalies, and failure modes using large-scale driving data Translate data insights into actionable recommendations that guide engineering priorities and improve system behavior Partner closely with autonomy, safety, and operations teams to align on success criteria and validate improvements Help shape Zoox’s strategy for safe and scalable deployment by ensuring autonomy decisions are grounded in rigorous analysis Qualifications Experience driving decision-making at various levels in an organization Familiarity with SQL, Python, R, or Scala Proven ability to define metrics and build scalable analysis pipelines to evaluate complex systems Strong communication skills with the ability to translate technical findings into actionable insights Bonus Qualifications Experience with geospatial data analysis Experience with Spark or large-scale data analysis Familiarity with or exposure to experimentation platforms Experience working with autonomous vehicles, robotics, or transportation systems Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $169,000 to $203,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Teammate reports to the Chief Architect for Core Technology. They will focus on system architecture elements consumed enterprise-wide with a focus on the operational data elements of technical infrastructure required to accelerate hybrid cloud transformation. Leads in the development of enterprise architecture principles, patterns, standards, and practices for operational data products and their incorporation into infrastructure platforms and utilization by the application portfolio as well as adherence to those practices. Partners closely with operational data Product Line Executive in the architecture, design, and stakeholder management of CIO level cross-functional delivery teams (Tech Delivery and Operations, Business, Risk, Cyber, Data) as well as support organizations (HR, finance, etc.) to drive product innovation & optimization to ensure the delivery of secure resilient application consumable solutions to the customer. Applies advanced knowledge of banking technology and IT architecture principles to identify and evaluate alternatives across the constantly evolving landscape of operational data architectures and solutions. Leads the selection of methodologies, tools, and components for the operational data elements of total IT solutions. The successful Operational Data Enterprise Architect: Provides guidance and support for solution architects on the implementation of operational data within complex architectural patterns on a variety of multi-platform systems; Develops operational data architecture plans and reviews cost and feasibility of alternatives while ensuring the plan supports the strategic needs of the company; Interprets internal/ external business challenges and recommends best practices on selecting and adopting operational data solutions; Uses sophisticated analytical thought to exercise judgment and identify innovative solutions; Designs strategies for enterprise online transactional processing (OLTP) databases; Sets standards for database operations, programming, query processes, and security; Contributes to the model, design, and construction of large relational and non-relational databases in traditional distributed and cloud native environments; Creates and optimizes data models for performance and functionality. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Top down operational data centered infrastructure architecture roadmap development and design with focus on enabling software defined infrastructure implementation, provisioning and consumption, along with collaboration with infrastructure and application technology leaders and risk partners to refine and instantiate a hybrid cloud strategy reflecting corporate objectives/strategy and risk appetite Architect cross-cutting enterprise infrastructure solutions that span across multiple CIOs and domains and across the spectrum of operational data technologies Provide thought leadership based on hands-on experience in the development and modernization of operational data technology standards enabling modern approaches to technology resiliency Set, adapt, and instantiate strategic direction for operational data technology infrastructure in alignment with the Business Strategy and Technology standards and provide thought leadership in the development of an enterprise strategic IT plan. Maintain a high level of awareness and understanding of existing and emerging operational data technologies, as well as industry and bank issues, to effectively match them. End to end accountability to review and approve design solutions that are fit-for-purpose in meeting the business needs of the enterprise while continuing the evolution of the technology landscape Lead or "jump start" operational data centric initiatives deemed critical to and Truist's technology services Provide thought leadership in new technology innovation, incubation, introduction and implementation critical to Truist's technology and business strategy roadmaps and ongoing success Develop and document operational relational and non-relational database architectures. Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements and translate into implementable database solutions. Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements. Design databases to support business applications, ensuring system scalability, security, performance, and reliability. Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. Create and enforce database development standards. Identify and evaluate industry trends in database systems. Demonstrate database technical functionality, such as performance, security, and reliability. Design load-balancing processes to eliminate down time for backup processes. Identify, evaluate, and recommend hardware or software technologies to achieve desired database performance. Identify and correct deviations from database development standards. Develop data models for applications, metadata tables, views, or related database structures. Document database schemas, using accepted notations. Develop data models describing data elements and their use. Plan and install upgrades of database management system software to enhance database performance. Test programs or databases, correct errors, and make necessary modifications. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Information Technology, Business, or related field Twenty (20) years of architecture/design/delivery experience which includes fifteen (15) years of enterprise architecture experience or twenty years' solution architecture experience in technology and security, and ten years of banking/financial business domain Comprehensive experience with various architectural domains including infrastructure and complementary domains such as application, data, and integration Strong analytical and broad architectural skills Strong verbal and written communication skills Strong negotiation/facilitation skills Significant knowledge of current and emerging architecture principles, methodologies and tools Experience as negotiator with vendors for relevant products and services Demonstrated competency in strategic thinking with ability to differentiate feasible from academic solutions Demonstrated thought-leadership skills with the ability to translate high-level business planning information into application needs/solutions Demonstrated proficiency in basic computer applications, such as Microsoft Office software products Ability to travel, occasionally overnight Preferred Qualifications: Relational Database management system software- Microsoft SQL Server; PostgreSQL; IBM DB2; Oracle; AWS DynamoDB; AWS Aurora; Azure Cosmos DB; Couchbase No SQL Database- MongoDB; AWS DynamoDB Configuration management software- Terraform; Red Hat Ansible Engine Database schema automation- LiquidBase Database replication- MS SQL Server Always On; Pacemaker; Tivoli System Automation; Oracle Data Guard; Rubrik Data integration- Microsoft SQL Server Integration Services (SSIS) Business intelligence and data analysis software- Microsoft SQL Server Analysis Services (SSAS); Microsoft SQL Server Reporting Services (SSRS); Microsoft Power BI General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you are expected to develop and implement data-driven strategies to drive business growth and enhance decision-making. As a Director you are responsible for setting the strategic direction and leading business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves defining data management and governance strategies, collaborating on transformation projects, and leveraging modern cloud data architectures to align data initiatives with organizational goals. Responsibilities Develop and implement data-driven strategies to enhance business growth Set strategic direction for data initiatives and lead business development Oversee multiple projects while maintaining executive-level client relations Define data management and governance strategies Collaborate on transformation projects to align with organizational goals Leverage modern cloud data architectures for enhanced data alignment Drive impactful decision-making processes Foster an environment where people and technology thrive together What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Azure Data Fundamentals or Azure Data Engineering certifications preferred Developing data-driven strategies for business growth Defining data management and governance strategy Conducting regular data/analytics strategy refresh Collaborating on strategy and transformation projects Understanding modern cloud data architectures Implementing cloud data architecture and integration patterns Applying knowledge in Big Data engineering and ETL/ELT Designing advanced analytics solutions and AI/ML models Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of the business. Our Team Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship. Our Work Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. Our scope includes: Go-To-Market: We collaborate with our sales leaders to convey the value of embedded finance to prospective partners. Example projects: Identifying the impact of financial access on platform GMV using quasi-random variation Running simulations to assess the risk of offering financial products on specific platforms Portfolio Monitoring and Servicing: We develop tooling to maintain portfolio health, driving sustainable growth for Parafin, our capital markets partners, and the small businesses we serve. Example projects: Estimating survival curves to predict cohorted loss rates Deploying LLM-based models to automatically identify bankruptcy from web data Product and Growth: We drive strategic decision-making and product design at the highest levels of the company. Example projects: Designing experiments to increase offer size for low-risk merchants Building tools to instrument and diagnose user behavior in our application flow Underwriting: We build models and systems to decide which SMBs receive offers for each financial product and on what terms. Example projects: Training a quantile regression model to forecast the distribution of SMB revenues and precisely size our financing offers Applying convex optimization to generate competitive financing offers Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews. About You Your Impact You will make an outsized impact on Parafin's trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve. Your Background and Skills Bachelor's Degree (or higher) in Computer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work: Statistical Reasoning Approach data analysis with a critical, intellectually honest eye Design concise metrics that guide decision making Use robust causal inference methods Develop valid and predictive machine learning models Business Acumen Identify and effectively prioritize business problems Solve business problems using appropriate data science techniques Anticipate the impact of your work on our financial performance, customers, and compliance obligations Engineering Mindset Write legible, reliable, and tested code Build or source tools to boost the team's efficiency Contribute to model and data infrastructure design Leadership and Collaboration Model Parafin's values of efficiency, intellectual honesty, accountability, and empathy Build trusted relationships with stakeholders Document work, seek feedback, and share learnings proactively Focused Execution Prioritize high-impact use of your time Scope projects rigorously Act with urgency What We Offer Salary $175k-$220k + EQ Senior Level Salary $230-$290k + EQ Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that put our members' interests first. The Credit Strategy Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The initial focus of the role will be on Personal Loan acquisition but the candidate may get opportunities to work on other lending products in the future. The candidate will be responsible for independently developing and implementing Personal Loan underwriting strategies that meet our risk appetite, monitoring and analyzing the risk trends within the portfolio to provide insights and recommendations for strategy enhancement opportunities. They will be part of the Credit team with 1LOD responsibilities. The Credit Strategy Manager will collaborate with cross-functional teams such as Business Units, Operations, Marketing, Finance, Capital Markets, Product, Engineering, Legal and Compliance. Use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi. What you'll do: Innovate… Bring your brightest ideas to building risk strategies. This means you will architect credit underwriting, pre-screen targeting, and risk tier assignment. Data Driven… Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and uses. Iterate, learn, innovate… We are all responsible for innovation and must embrace data-driven decisions. Collaborate… Work collaboratively with business partners such as Business Units, Operations, Marketing, Finance, Legal and Compliance to deliver successful business results. Partner closely with implementation teams to accurately deploy new strategies. Control the Risk and Drive Performance Outcomes … Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions. Grow, Grow, Grow!… Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members. What you'll need: 5+ years of related experience Business acumen and work experience in the consumer lending business (loans or credit cards) Direct experience in the credit strategy analytical life cycle, including strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems Proficient skills in Excel, SQL and Python A demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Knowledge/skills in analytical and modeling techniques such as decision trees, regression, logistic regression, test design Preferred: Experience in developing credit strategies using innovative data sources such as cash flow or alternative data Preferred: Advanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.