Data engineer jobs in Schenectady, NY - 659 jobs

GovCIO is currently hiring for a Data Scientist to provides technical leadership in the data science domain. This position will be located in Rome, NY and will be an onsite position. Responsibilities Develops deployable AI/ML analytics for C5ISRT data and provides technical leadership in the data science domain. Transforms raw sensor and operational data into analyst-ready insights. Develops and deploys algorithms, use cases, and models. Supports data analytics research, development, prototyping, maturation, testing, and integration, including generating large-scale labeled datasets and developing Labeled Data Campaign Plans. Applies MLOps ecosystem tools, including NVIDIA Triton Inference servers, TensorFlow, PyTorch, ONNX, and Python. Integrates models across domains with bi-weekly evaluations and dataset challenges. Operationalizes data curation, tagging, and ‘Labeling on the Line' workflows and integrates into Government-owned labeling apps and repositories. Contributes to CDRL-backed artifacts such as Detailed Analyses (A021/B021, C021). Skills: data engineering, feature development, MLOps packaging, experiment tracking, evaluation design, metric selection, and bias/error analysis with defensible reporting. Knowledge: MLOps at IL5/SIPR/JWICS, dataset curation at scale, evaluation pipelines for bi-weekly model submissions, MLOps ecosystem (e.g., Triton Inference Server, TensorFlow, PyTorch, ONNX, Python) for model execution, data security classifications, data lake management and data replication to/from edge systems, and algorithm rights/licensing limits in operations. Qualifications Bachelor's with 15+ years (or commensurate experience) Required Skills and Experience Clearance Required:TS/SCI Masters Degree Working knowledge of Python Programming for ML, Cloud Computing Fundamentals, Data Curation Best Practices, Deep Learning Frameworks (TensorFlow/PyTorch), GPU Acceleration, Secure Coding Practices, C5ISRT Domain Expertise, Ethical AI/Bias Analysis DoDD 8140 IAT Level II: (CompTIA Security+, or GSEC or ISC2 SSCP) ***PENDING CONTRACT AWARD*** #afrl Preferred Skills and Experience AWS/Azure Certified Data Engineer or ML Specialty, Certified Analytics Professional (CAP) Company Overview GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? What You Can Expect Interview & Hiring Process If you are selected to move forward through the process, here's what you can expect: During the Interview Process Virtual video interview conducted via video with the hiring manager and/or team Camera must be on A valid photo ID must be presented during each interview During the Hiring Process Enhanced Biometrics ID verification screening Background check, to include: Criminal history (past 7 years) Verification of your highest level of education Verification of your employment history (past 7 years), based on information provided in your application Employee Perks At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: Employee Assistance Program (EAP) Corporate Discounts Learning & Development platform, to include certification preparation content Training, Education and Certification Assistance* Referral Bonus Program Internal Mobility Program Pet Insurance Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range USD $200,000.00 - USD $230,000.00 /Yr.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. #BCGXjob What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * 2+ years of relevant work experience * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills & ability to work collaboratively in diverse teams * Excellent verbal and written communication skills in English and local office language * Master's degree or PhD in relevant field of study TECHNOLOGIES: Programming Languages: Python #BCGXjob Additional info Professional Development We are committed to your growth. You will have ample opportunities to participate in training programs, workshops, and development initiatives. You will also benefit from coaching and mentoring to further enhance your skills and expertise. At BCG, you can explore new horizons and expand your potential. Join the Group Are you ready to take the next step in your career? Apply now and become part of a community of forward-thinkers. Here, challenges and collaboration go hand in hand, your ideas are valued, and your potential knows no bounds. Let's work together to develop innovative solutions and create a lasting impact on businesses and society. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Description About Company: Who We Are At ADP, what we do is about people. Although we have a strong history of providing solutions for human resource challenges, we strive to do more than that. We challenge ourselves to anticipate, think forward and take action in a way that empowers us to shape the changing world of work. For over 70 years, we've led the way in defining the future of business solutions. ADP is proud to be named the 2023 Fortune World's Most Admired Companies™ list again for 17 consecutive years*. We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage. Learn more about our philosophy, success factors and why companies work with ADP. About the Role: As a Data Scientist at our Information and Media Services company in New York, you will be responsible for analyzing complex data sets and developing predictive models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance. Your work will directly impact the success of our company and our clients, as you will be responsible for delivering actionable insights that drive growth and profitability. Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field 3+ years of experience in data science or a related field Strong programming skills in R and Python Experience with machine learning techniques such as random forest, neural networks, and logistic regression Experience with statistical analysis and experimental design Preferred Qualifications: Master's or PhD in Computer Science, Statistics, Mathematics, or a related field Experience with big data technologies such as Apache Spark Experience with deep learning frameworks such as TensorFlow Experience with clustering techniques Experience with data visualization tools Responsibilities: Analyze large and complex data sets using statistical and machine learning techniques to develop predictive models Collaborate with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance Design and implement experiments to test hypotheses and validate models Communicate findings and recommendations to stakeholders in a clear and concise manner Stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities Skills: As a Data Scientist, you will use your strong programming skills in R and Python to analyze large and complex data sets using statistical and machine learning techniques such as random forest, neural networks, and logistic regression. You will also have experience with statistical analysis and experimental design. In addition, you will have experience with big data technologies such as Apache Spark and deep learning frameworks such as TensorFlow. You will use your strong communication skills to clearly and concisely communicate findings and recommendations to stakeholders. Finally, you will stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux region. We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from the smallest hobbyist to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users. What you'll do & Who you are About the role We are seeking a hands-on and visionary Data Engineering Lead to drive the design, development, and scaling of data infrastructure for our MarTech and Growth domains. The ideal candidate comes from an e-commerce/product, IT or data company who has experience in technical coaching with execution - helping the team build and scale high-impact data solutions and collaborate across domains to shape our Customer Data Platform (CDP), campaign automation, and growth optimization strategies. As the Tech Lead, you will be responsible for hands-on design and implementation of data pipelines, modeling strategies, and integration solutions. You will work closely with the MarTech Engineering Manager and Product Owner, and collaborate across the cross-functional stakeholders to align technical decisions with business outcomes. This is an ideal role for someone who thrives on solving complex data problems, cares deeply about technical excellence, and enjoys mentoring engineers while staying close to the code. Key responsibilities * Provide technical leadership in designing, building, and maintaining robust and scalable data pipelines. * Own architectural decisions for the data infrastructure that powers our CDP and marketing data stack, ensuring scalability, quality, and performance. * Partner with the MarTech Engineering Manager and Product Owner to shape the technical roadmap, contribute to backlog refinement, and ensure timely delivery of products. * Translate business goals (e.g., audience targeting, personalization, attribution) into scalable data solutions and architecture. * Mentor and up-skill team members through code reviews, architecture sessions, and knowledge sharing. * Define and enforce technical standards and best practices around data modeling, orchestration, CI/CD, observability, and performance. * Partner with ML, Gen AI, and Data teams to integrate real-time personalization, behavioral targeting, and predictive analytics. Core Technologies * Databricks (Spark, ML, Delta Lake) * Apache Airflow (ETL orchestration) * AWS Data Stack - S3, Redshift, Glue, Lambda, Step Functions, Athena * DBT (Modeling and transformation) * SQL and Python (Advanced scripting and analytics) * Dimensional & Star Schema modeling Nice-to-Have Additional Tools & Platforms * Customer Data Platform (CDP): Zeotap or similar CDP * Streaming & Messaging: Kafka, Kinesis, EventBridge * BI & Visualization: Looker, Tableau, or equivalent * Monitoring & Testing: DataDog, Great Expectations * CI/CD & Infra as Code: Terraform, GitHub Actions, CloudFormation * Security & Privacy: PII handling, GDPR/CCPA compliance, data contracts What we're looking for * 7+ years of experience in data engineering, with at least 2 years in a technical team lead or staff engineer capacity. * Demonstrated experience owning data architecture end-to-end - from ingestion to modeling and serving. * Experience in MarTech/Growth/CRM domains or adtech ecosystems is a major plus. * Strong collaboration skills; comfortable working across multiple teams and stakeholders including Engineering Manager, Product Owner, and Data leadership. * Passion for building impactful systems that fuel marketing performance and customer engagement. Why Join Us? * Be the technical leader shaping the future of growth marketing and customer intelligence. * Work at the intersection of marketing, growth, and data - with direct impact on user experience and revenue. * Collaborate across functions to deliver smarter, faster marketing capabilities. * Work in a modern, cloud-native data environment with a talented, motivated team. * Enjoy autonomy, ownership, and a supportive environment for growth and innovation. Benefits Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits: * An attractive Base Salary * Participation in our Short-Term Incentive plan (annual bonus) * Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moonwell why not! just make sure you have internet connection! * A 24/7 Employee Assistance Program for you and your family, because we care ️ * Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. If you feel like you don't meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don't meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.

Bynder goes far beyond managing digital assets. Our AI-powered digital asset management platform enables teams to conquer the chaos of proliferating content, touch points, and relationships in order to thrive. With intuitive, AI-powered solutions that enhance content creation, simplify asset discovery, and maximize the value of every asset, we are the brand ally that unifies and transforms the creation and sharing of assets-inspiring teams, delighting customers, and elevating businesses. Join our global team of 600+ 'Byndies' and contribute to shaping the future of digital asset management! As a leader in the industry, our AI capabilities empower over 1.4M users across 3,700+ organizations, including Spotify, Puma, Five Guys and Icelandair to work smarter with their content. With a commitment to innovation and a presence in seven offices worldwide, Bynder offers a dynamic environment where you can make a real impact. Ready to grow your career by helping the world's leading brands create exceptional content experiences and thrive? Explore this opportunity and apply now to join our talented team. About the Team Bynder's Platform Services team provides advanced, customer-specific technical services, but we're not a product development team. We don't build new features; instead, we operate as a second-line engineering support team that delivers custom, data-driven solutions at the request of our clients and internal stakeholders. We sit at the intersection between Customer Success, Onboarding, and Product Development teams. Our role is to understand both the technical architecture of the Bynder platform and the business needs of our clients, translating between the two. This means we need engineers who not only have strong technical expertise but also excellent communication skills to explain complex concepts clearly to non-technical users, while collaborating effectively with developers and other stakeholders. What you will do: As a Data Engineer on the Platform Services team, you'll work on high-impact, client-specific technical requests that go beyond traditional support. Your responsibilities will include: * Handling and resolving technical service requests from clients and internal teams via our Jira ticketing system. * Balancing day-to-day ticket work with longer-term service projects. * Designing, building, and maintaining reusable solutions like scripts, data workflows, and repeatable processes to solve recurring technical challenges. * Working with data migrations involving AWS S3 buckets and SFTP setups. * Extracting and transforming data from Bynder databases (MySQL/PostgreSQL) to deliver analytics and reports. * Applying metadata tagging and supporting digital asset import/export workflows. * Communicating clearly with both technical and non-technical audiences, making complex concepts accessible and actionable. * Proactively identifying opportunities to automate and streamline manual work. * Supporting knowledge sharing during weekly standups and confluence documentation to help the team scale its impact. What you'll bring: Technical Skills: * Minimum of 3 years of experience as a Data Engineer or in a similar role. * Advanced proficiency in SQL (MySQL, PostgreSQL), you can write efficient queries, optimize performance, and structure data cleanly. * Strong Python skills, including data-focused libraries (e.g. pandas, NumPy). * Experience with orchestration tools such as Airflow,or similar, including writing DAGs, managing schedules, and handling task dependencies. * Proficient in bash scripting and automation, including cron jobs and shell pipelines. * Hands-on experience with AWS, particularly services like S3 and Athena. Familiar with AWS SFTP and secure data transfer mechanisms. * Familiarity with version control (Git) and containerization tools (Docker). * Understanding of APIs, webhooks, and integration patterns. * Experience or knowledge in AI/ML is a big plus, especially in automating or enhancing repetitive data workflows and processes. Soft Skills: * Excellent verbal and written communication in English, able to explain technical concepts to non-technical stakeholders clearly and effectively. * Comfortable operating in the space between technical and business teams. * Able to work independently, but also a fantastic team player who helps others succeed. * Confidence in reaching out to other teams and taking ownership of your work from investigation to resolution. * Analytical and solutions-focused, able to identify issues and propose scalable improvements. * Passionate about knowledge sharing, process improvement, and technical excellence. Why you'll love Bynder! At Bynder, innovation is in our DNA. We've worked hard to build an environment that promotes creative thinking and self-initiative within a culture of fun. It's common to find colleagues hanging out after work - if you believe in "be nice, work hard, have fun", you'll have an office full of friends. What we offer: * Challenging and inspiring work environment * Flat hierarchy where your voice will be truly heard * Freedom to take ownership and drive meaningful impact * An experienced team is ready to welcome you anytime * Unlimited vacation policy * Access to the latest technologies, Apple gear, and industry training * Free in-office lunch and drinks * Offices in central Amsterdam and Rotterdam, A minimum of one in-office day per week is required - preferred on Wednesdays Our Commitment: Bynder Love is the principle that guides the way we grow our teams, support our employees, and celebrate our differences. At Bynder we strive to create a culture that embraces every Byndie because differences in background, experience, and perspective make Bynder even better. At Bynder a diverse, inclusive, and equitable workplace is one where all employees, whatever their ethnicity, color, sex, age, religion, disability, sexual orientation, gender identity, national origin, or physical and mental ability are valued and respected. Our commitment is for all Byndies to have the freedom to be their true authentic selves. Just as we are never finished innovating, Bynder's commitment to being An Even Better Bynder is a constant, evolving commitment that includes education, listening, and action. To all recruitment agencies; we have our recruitment well covered. Please do not try and reach out to our recruiters or hiring managers. We do not appreciate any type of acquisition as result of our job ads.

Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake. Own and guide the development of our data infrastructure. Orchestrate complex data workflows using Dagster. Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work. Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods. Ensure our data is always available by participating in our on-call rotation. Requirements Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience 7+ years experience in engineering, with at least 5 years of experience in a data engineering role Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus Experience with data exploration, profiling, governance, visualization, and activation Proven ability to thrive in an ambiguous and rapidly changing environment Experience working with sensitive data in a regulated environment Expertise in healthcare and/or revenue cycle management is a plus You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: ******************************************************* Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent *********************** email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake. Own and guide the development of our data infrastructure. Orchestrate complex data workflows using Dagster. Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work. Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods. Ensure our data is always available by participating in our on-call rotation. Requirements Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience 7+ years experience in engineering, with at least 5 years of experience in a data engineering role Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus Experience with data exploration, profiling, governance, visualization, and activation Proven ability to thrive in an ambiguous and rapidly changing environment Experience working with sensitive data in a regulated environment Expertise in healthcare and/or revenue cycle management is a plus You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: ******************************************************* Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent *********************** email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job Description Locations: VA - McLean, United States of America, McLean, Virginia Distinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country's 500,000 commercial fleets, 40 million commercial vehicles, and many million commercial drivers. The incumbent technologies that cater to these customers are decades old, and drivers, fleets, and the merchants that serve them all increasingly demand modern digital experiences and affordable and transparent financial services products. Coast's mission is to deliver them at a transformational scale, and to improve working lives in one of the country's biggest industry sectors. The company is backed by top fintech and mobility venture funds. In order to maximize our engineering velocity, we are hiring in NYC and the tri-state area only. Our office is located in the heart of Manhattan's SoHo neighborhood, benefiting from its vibrant creative energy. We come to the office on average four days a week. At Coast, the success of our data platform is driving accelerating demand from all corners of the company. We're looking for a key builder to help us meet this moment. In this role, you will drive the delivery of high-impact analytics and AI use cases while contributing to the evolution of our modern, cloud-native data platform. This is a chance to join a small, high-leverage team and make a definitive impact, building the systems that help us understand risk, acquire customers, and create a better financial product. You will be building on a solid foundation that lets you focus on high-impact work from day one. Our data engineering organization follows the federated model of data product ownership-the data platform serves as the foundation, not the first line of defense against data issues. This role is a launchpad for the next step in your career. You'll partner directly with business leaders and have outsized ownership, helping to steer the company's direction. This role reports to the Lead Data Engineer that heads up our Data organization. What You'll Do (Responsibilities) Own the delivery of data: you will design and deliver data for a variety of use cases from all areas of the business (marketing & sales, growth, risk, compliance, product, etc.) with robustness and high degree of automation. Orchestration: you'll design, build, and maintain robust, scalable, and testable data assets using Dagster. Build Data Products & Pipelines: you'll implement and deploy new ELT pipelines and data transformations using our modern SQL-based stack (dbt, Redshift, Python) to support critical business use cases. Apply Software Engineering Principles: you'll champion and apply software engineering best practices-including robust testing, CI/CD, modularity, and observability-to every part of our data platform. Collaborate and Document: you'll work closely with product engineers and business stakeholders to understand their needs. You'll also contribute to our technical direction by writing clear design documents and Architecture Decision Records (ADRs) for new patterns and tools. Improve the Platform: you'll continuously look for, notice, and implement improvements to our data infrastructure, helping us build a well-managed and cost-effective platform. What You Bring (Qualifications) Professional experience: 4+ years working with SQL, Python, data pipelines, and BI tools. Strong Python & software engineering mindset: you are a proficient Python developer who leads with principles of source control, infrastructure as code, testing, and automation. This is more important to us than deep expertise in any single data tool. Robust, production-grade data pipeline designer: you understand the importance of testing and validation, you have tools in your toolbelt to deal with data from a variety of sources (APIs, GraphQL, Salesforce), optimize transformations and produce consumer-ready datasets. Orchestration experience: you have hands-on experience with a modern data orchestrator. Direct experience with Dagster is a huge plus, but experience with tools like Airflow, Prefect, or other code-first orchestration tools is also highly valuable. Pragmatic problem-solving: you can figure things out. You're comfortable researching a problem, designing a solution, implementing a technical spike, and then delivering it through responsible change management. You have the bias for action. Solid data fundamentals: you have a solid grasp of SQL and data modeling principles. You don't need to be a world-class SQL optimizer, but you understand how to build clean, reliable datasets. An owner's mindset: you are proactive and take ownership of your work from end to end. You treat the platform as your product. Compensation Our salary ranges are based on paying competitively for our size and industry, and are one part of our total compensation package that also includes benefits, signing bonus, and equity. Pay decisions are based on a number of factors, including scope and qualifications for the role, experience level, skillset, and balancing internal equity relative to other Coast employees. We expect the majority of the candidates who are offered roles at Coast to fall healthily within the range based on these factors. Salary range: $130,000 - $160,000 annually Signing bonus Equity grant: commensurate with level determined at the discretion of the company, with meaningful potential upside given the company's early stage Benefits overview: Medical, dental and vision insurance Unlimited paid time off (vacation, personal well being, paid holidays) Paid parental leave $400 accessories allowance (a keyboard, mouse, headphones, etc.) Free lunch every Friday Education stipend 401(k) About Coast Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country's 500,000 commercial fleets, 10 million commercial vehicles, and 4 million commercial drivers. Coast is founded and led by Daniel Simon, who previously cofounded Bread (breadpayments.com), a leading payments and credit technology firm backed by some of the world's top VCs which was acquired for $500MM+ in 2020. Coast has raised $165M in total funding - our recent $40M Series B equity round was led by ICONIQ Growth with participation from Thomvest, and Synchrony. We're also backed by top fintech and mobility venture funds - including Accel, Insight Partners, Better Tomorrow Ventures, Avid Ventures, Bessemer Venture Partners, BoxGroup, Foundation Capital, Greycroft, Colle - and premier angel investors - including Max Levchin (Affirm), Josh Abramowitz (Bread), Jason Gardner (Marqeta), William Hockey (Plaid), Ryan Petersen (Flexport), and many others. Check out our CEO's recent podcast interview with Primary Venture Partners and last year's product/market deep dive on Fintech Layer Cake with Coast Founder Daniel Simon! Coast is committed to diversity, equity, and inclusion. We are building a diverse and inclusive environment, so we encourage people of all backgrounds to apply. We're an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar's mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. Background: Cedar is a patient payment and engagement platform that leverages data science, AI, consumer-centric design and technology to improve the healthcare experience for patients. The Data Science team plays a critical role in achieving Cedar's vision. We ensure data and insights are accessible and trusted by all internal and external stakeholders to enable data-driven decision-making. Through analytics, descriptive analyses, and statistical models, we consistently aim to better understand the needs of patients, find improvement opportunities, and impact the product development process. We run experiments to test our various hypotheses and measure our progress. We build ML models and embed them into our web app to deliver a personalized experience to patients. We help differentiate Cedar's product offerings with hard-to-copy competitive advantages. To do this, we have built an open, supportive, and collaborative team culture. “Love thy teammate” is one of our Data Science values, and we live into this value by operating from a mindset of curiosity, possibility, and the best intentions of each of our team members. As a team, we are dedicated to continually growing our technical excellence and collaborative excellence, equally. The Role: Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We're seeking a Data Scientist III (Product Analytics) on our Data Science team to work with our product development teams to enable robust data-driven decisions and understand user behavior through in-depth data analysis. As a Data Scientist III (Product Analytics), you will be responsible for ensuring that we are building world-class products that truly address the needs of our users and customers through data insights. You will identify clear and strategic product opportunities, measure the success of our products and AI personalization platform, understand product strengths and areas for improvement - by immersing yourself in Cedar data and the stories that it tells. You will continuously apply a growth mindset in your approach to problems. Responsibilities: Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data Influence data focused decision making on product teams to move metrics and improve the patient experience Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics Analyze, measure, and track the performance and success of product features Identify data insights and recommendations for product teams to act and iterate on Ideate, design, and evaluate product experiments Build dashboards and visualizations to democratize data insights Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization Think from the perspective of a user and develop expert intuition of Cedar's data models and product Skills and Experience: 5+ years of experience in an analytical role, bonus points for healthcare, fintech, e-commerce, or other related industries A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning An analytical attitude and passion for finding opportunities and insights within data Understanding of statistical methods for research and experimentation purposes Experience collaborating with product, design, and engineering teams SQL and Python expertise is a must-have Experience with dbt, Hex, and Looker is a nice to have Compensation Range and Benefits Salary/Hourly Rate Range*: $148,750 - $175,000 This role is equity eligible This role offers a competitive benefits and wellness package *Subject to location, experience, and education #LI- CR1 What do we offer to the ideal candidate? A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you For exempt employees: Unlimited PTO for vacation, sick and mental health days-we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month) Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally About us Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.

Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products - BlinkRx and Quick Save - remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. BlinkRx is the world's first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can't afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn't have the medication in stock. We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us! About the Role We are seeking a Principal Data Platform Engineer to define and evolve our real-time and batch data platform built on AWS and Databricks. This role owns the technical vision for how data is ingested, processed, stored, and served as trusted datasets, metrics, and APIs that power products, decisioning systems, and operational workflows. As a Principal, you are a technical authority and force multiplier-deeply hands-on while setting architectural direction across streaming systems, lakehouse design, and data-serving layers. You will partner closely with engineering, analytics, and product teams to simplify the platform, eliminate legacy patterns, and establish scalable, reliable foundations for real-time analytics. What You Will Do Own the end-to-end data platform architecture, spanning streaming ingestion, lakehouse storage, and data/insight serving layers Architect real-time streaming systems using AWS Kinesis and Spark Structured Streaming to support low-latency use cases Design stream-to-lakehouse convergence patterns that unify real-time and historical data with strong correctness guarantees Build and evolve data, metrics, and feature APIs that expose curated datasets for downstream applications and analytics Establish canonical event schemas and data contracts to support event-driven and API-based consumption Make deep technical decisions across AWS infrastructure (Kinesis, S3, IAM, networking) and Databricks internals (clusters, jobs, Delta Lake, performance tuning) Drive platform modernization, retiring legacy tools and patterns in favor of simpler, lakehouse-first designs Set standards for high-performance SQL and Spark workloads, optimizing for cost, latency, and scale Lead complex platform initiatives from architecture through production delivery and ongoing reliability Provide technical leadership and mentorship, shaping best practices for platform design, data quality, and operability Technical Skills Deep expertise in real-time and distributed data systems, including AWS Kinesis and Spark Structured Streaming Strong command of Databricks on AWS (Delta Lake, clusters, jobs) and core AWS services (S3, IAM, networking) Proven experience designing data-serving architectures and APIs for analytics, metrics, and feature consumption Advanced Python and SQL skills for building scalable, high-performance data pipelines Demonstrated ability to design idempotent, replayable, and observable data platforms at scale Why Join Us: It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population. At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year. Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers. We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Us Edgestream Partners is a tight-knit team of scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade systematically around the world and around the clock. Edgestream's culture has more in common with research laboratories and technology startups than with traditional finance. We prize curiosity, creativity, diligence, and intellectual honesty. We focus on the long term, working together to build elegant and general systems that endure and scale as we grow. We incentivize cooperation and the open exchange of ideas because we know that compounding our efforts magnifies our achievements. The result is an environment where thoughtful, high-quality work can have an outsized impact. We have been operating as a quantitative hedge fund since 2003 and continue to grow. We are looking for talented, motivated individuals who are eager to learn and grow with us over the long term. About the Job Edgestream is seeking a Junior Data Engineer to support the development, maintenance, and monitoring of our data pipelines. This role is ideal for an early-career engineer with strong Python skills, a solid technical foundation, and a demonstrated ability to take initiative and solve problems independently. You will work closely with senior data engineers, data scientists, and researchers, gaining exposure to the full lifecycle of financial data-from ingestion and validation to research and live trading systems. Responsibilities: Assist in the design, implementation, and maintenance of data pipelines used to ingest, process, and store financial data. Develop and maintain Python-based tools for data retrieval, transformation, validation, and analysis. Monitor data pipelines and help identify, diagnose, and resolve data quality or operational issues. Support the onboarding of new data sources for both historical research and real-time trading systems. Perform exploratory and validation analyses to ensure data accuracy, consistency, and completeness. Contribute to internal monitoring, logging, and reporting tools. Work in a Linux-based, distributed computing environment. Collaborate closely with senior data engineers, data scientists, portfolio managers, researchers, and trading operations staff. Proactively identify opportunities to improve reliability, performance, or clarity within existing systems. Qualifications: Bachelor's or Master's degree in computer science, engineering, mathematics, physics, or a related quantitative discipline. Strong proficiency in Python, including experience with libraries such as Pandas and NumPy. Demonstrate problem-solving ability and willingness to take ownership of tasks and follow them through to completion. Familiarity with data processing concepts such as ETL, data validation, and schema management. Basic experience with one or more of the following is a plus: SQL / relational databases (e.g., Postgres), Linux/UNIX environments and command-line tools, Version control systems (e.g., Git). Ability to communicate clearly and work collaboratively in a team-oriented environment. Intellectual curiosity and an eagerness to learn new tools, systems, and domains. No prior experience in finance is required. Some of the benefits of working at Edgestream: Competitive salary, bonus, and incentive compensation based on overall company performance. Outstanding technical and data resources accumulated over decades of systematic trading. Comprehensive, first-class benefits, including excellent medical and dental coverage, 401(k), HRA, FSA, and life insurance, catered lunch, and an onsite gym. For qualified employees, the opportunity to invest in Edgestream-managed funds. A collaborative, intellectually rigorous environment with strong mentorship and long-term growth opportunities. Contact Info E-mail: ************************. Please Note: All applicants must be authorized to work in the United States without requiring present or future visa sponsorships. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

About OUTFRONT We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team! What We Offer OUTFRONT offers a comprehensive benefits program including: Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits 401(k) Plan with an Employer Match Paid Time Off, Commuter Benefits, Educational Assistance Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs) Job Summary At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we're blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what's possible. We're looking for a passionate and experienced Senior Data Engineer to join our growing Data & Analytics team. If you're excited about building high-performance data pipelines, solving complex problems, and collaborating with both internal and external teams, we want to hear from you! As a Senior Data Engineer, you'll leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You'll partner with leadership to influence strategic decisions, ensuring our data systems evolve alongside the business to meet future needs. In this role, you'll be the go-to expert for all things cloud and data, playing a key part in shaping innovative, customer-focused solutions. If you're a multi-tasker with strong attention to detail, and you're ready to make a significant impact in a fast-paced, collaborative environment, let's work together to build the future of advertising technology! What You'll Do Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business. Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability. Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow. Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company. Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout. Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights. Partner with senior leadership to stay aligned on business objectives, provide regular updates, and make data-driven decisions to drive progress. Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage OUTFRONT's unique position in the market. Take the initiative to identify, troubleshoot, and resolve challenges that could hinder progress on strategic goals, ensuring the team remains on track to meet both technical and business objectives. Experience 7+ years of experience designing and implementing data warehouse solutions, focusing on scalability and performance. 7+ years of experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data. 7+ years of programming experience in languages like Python, focusing on building scalable and efficient solutions. Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems. Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift). Proficient in cloud technologies such as GCP or AWS. Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes. Technical Expertise Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI to enable insightful decision-making. Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies. Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting. Soft Skills Strong cross-functional collaboration skills, with experience working in complex organizations and aligning teams on data product decisions and trade-offs. Exceptional communication skills, capable of breaking down complex technical concepts and clearly communicating them to stakeholders. Passionate about working with large datasets, skilled at spotting trends and deriving actionable insights to drive business decisions. A quick learner, adept at grasping both business and technical needs to deliver impactful solutions. Education Bachelor of Engineering in Computer Science or equivalent preferred. The salary range for this role is $165,000-$185,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location. OUTFRONT Media is not responsible for any fees related to unsolicited resumes. OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Marketing Science team embeds data scientists directly within our media buying and activation operations. You will be at the forefront of creating innovative analytical approaches to analyze and improve media buying strategies and outcomes for our diverse clientele. A key responsibility will be to design, develop, and deploy data-driven applications and tools that empower our media activation teams, streamlining their workflows and enhancing their effectiveness. Furthermore, you will contribute your expertise to our media consulting practice, providing data-backed insights and strategic solutions to external clients. We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative solutions using advanced statistical modeling, machine learning, optimization, and potentially Generative AI techniques. While direct experience in media is a strong plus, a passion for applying cutting-edge data science to solve complex marketing and media challenges is crucial. This role offers a unique opportunity to blend deep analytical skills with practical marketing acumen to drive significant impact. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, using advanced methods to revolutionize media buying and activation. WHAT YOU'LL DO Analyze complex media buying data to identify trends, insights, and opportunities for performance improvement and optimization. Develop, implement, and refine innovative analytical models, algorithms, and frameworks to enhance media buying strategies, targeting, and ROI. Design, build, test, and deploy robust data-driven applications and tools to automate processes, improve efficiency, and support decision-making for the media activation team. Collaborate closely with media buyers, strategists, engineers, and account teams to understand their challenges and translate business needs into effective data science solutions. Contribute to media consulting engagements by delivering data analysis, predictive modeling, strategic recommendations, and client-facing presentations. Develop and apply a range of techniques to improve Known IP and create valuable tools for Known's internal teams and clients. Work with other data scientists and engineers to productionalize new tools and analytical solutions, ensuring scalability and reliability. Stay current with advancements in Data Science, AI, media analytics, and ad technology, identifying opportunities for their application in the marketing domain. WHO YOU ARE AND WHAT YOU HAVE A Bachelors, Masters or PhD in a STEM field, or equivalent practical experience. Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning. Proven ability to translate complex data into actionable business insights, particularly within a marketing or media context. Strong understanding of marketing principles and media buying/activation processes. Direct experience in media analytics, ad-tech, or a similar marketing-focused data science role is highly desirable. Experience utilizing Python and SQL for data manipulation, analysis, and model building. Experience building data science software, analytical workflows, or data-driven applications. 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience in data science or analytics. 1+ years of experience building data science software or applications, ideally including those leveraging AI/ML models. Academic projects, internships, or personal projects demonstrating application of modeling techniques to solve real-world problems are preferred. Skills, abilities, and knowledge: Superb communication and presentation skills, with an ability to convey complex technical concepts to non-technical audiences (including media teams and clients). An ability to translate business challenges from the media buying, activation, and consulting domains into quantitative problems, and solve them effectively using appropriate data science methodologies and tools. A strong blend of data science expertise and marketing/media acumen Proven ownership of projects taken from ideation to completion and impact. A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work. Experience working collaboratively on a tech team, with familiarity in cloud technologies (e.g., AWS, GCP, Azure), version control (e.g., Git), etc. Competencies: Ability to prioritize time, work and effort while multitasking on multiple projects. Desire to mentor and teach others. Collaborative attitude. Self motivated and exhibits initiative. Willing & able to learn quickly. Abundant intellectual curiosity and integrity. SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K-$130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role Overview We're looking for a Data Scientist to supercharge our data-driven strategy and ensure we're building the right things at the right time. You'll be embedded in the heart of our product and engineering teams, shaping insights that guide strategy, uncover user behavior, and optimize execution across Fun.xyz. This role is perfect for someone who thrives in fast-paced, ownership-driven environments, loves solving open-ended problems, and is excited about the potential of blockchain data.Responsibilities Design and build scalable data models to analyze transaction flows and user behavior Support the optimization of data transformations, pipelines, and workflows Work directly with the CFO to provide insights on the business' performance Maintain data quality, observability, and reproducibility across analytical systems Partner with engineers and product teams to deliver actionable, production-grade insights Run experiments, apply causal inference, and drive evidence-based product decisions Translate complex data into clear stories for both technical and non-technical stakeholders Requirements Proficiency in Python and SQL (5+ years) Strong background in statistical analysis, experimentation, and causal inference Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.) Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar) Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructure Nice To Have Experience analyzing large-scale transaction or financial datasets Hands-on experience with ML/AI libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow) Familiarity with market dynamics (spreads, slippage, liquidity, etc.) A track record of thriving in ownership-heavy, fast-moving environments A problem-solving approach that blends rigor, creativity, and first-principles thinking

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 250+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with top ten status on The Agency A-List for 2024 & 2025 , and as Ad Age's Data & Insights Agency of the year for a record third year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios, Effies, Cannes Lions Awards, ProMax Agency of the Year, Fast Company's World Changing Ideas, Digiday's 2025 Best AI Platform and Digiday's Most Innovative Media Agency , to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Channel Data Science team is a group of data scientists embedded in our media buying practice to translate the domain knowledge we gain from running media for our clients to smart tools that push the limits of advanced advertising. Our work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions - all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting clients. We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques. While experience in media is a plus, a passion for applying cutting-edge AI to marketing challenges is crucial. A significant focus of this role will be to champion and implement Generative AI initiatives. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, particularly those harnessing the power of LLMs. WHAT YOU'LL DO Explore, develop, and deploy Generative AI (specifically LLM-based) tools for marketing applications, such as content ideation/generation, audience persona creation, automated reporting with natural language summaries, campaign strategy assistance, and enhanced customer insights Develop new techniques (e.g., traditional ML models, optimization algorithms, LLM fine-tuning, prompt engineering strategies, and automation) to improve Known IP and create tools for Known's clients Work with other data scientists and engineers to productionalize new tools, including GenAI-powered applications Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain WHO YOU ARE AND WHAT YOU HAVE A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning Proven experience in developing and deploying solutions using Generative AI, particularly text-based Large Language Models (e.g., experience with APIs like OpenAI's, or open-source models) Experience utilizing Python and SQL Experience building data science software or analytical workflows Experience in advertising or advertising technology is a strong plus, especially if combined with GenAI application in this domain 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience 1+ years of experience building data science software, ideally including applications leveraging AI/ML models Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies Proven ownership of projects taken to completion A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work Experience working on a tech team, with experience in cloud technologies, version control, etc Experience in advertising or advertising technology is a plus Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is: Data Scientist: $110K - $130K This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1