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Mid-Sized GP Firm with Cravath level compensation.  National "Tier 1" in Patent & IP Litigation. A top 20 firm for Intellectual Property, as per Vault.  A collegial culture with helpful mentorship opportunities. REQUIREMENTS Ideal candidates will have experience advising on privacy and cybersecurity issues, such as risk advisory and compliance counseling, corporate and technology transactions, regulatory or governmental investigations, cyber incident response, and privacy litigation. Experience with prominent privacy and security frameworks, such as the GDPR, CCPA, HIPAA, NIST, or other similar frameworks, is a plus. Candidates licensed or the ability to waive in the jurisdiction to which they are applying is preferred. SUMMARY Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent/Privacy professionals nationwide. Our concentrated focus in these areas enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high-level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. CONFIDENTIALITY At Vanguard-IP, we respect the confidentiality of every candidate who contacts us.  Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. **Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets.  Please apply now and our team would be happy to review your information for this or other openings in your location of interest.

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. KEY RESPONSIBILITIES: Support data engineers in building and maintaining data pipelines for ETL processes. Assist with data cleaning, transformation, and validation tasks. Learn and use tools such as Hadoop, Spark, and Hive to process and analyze data. Help monitor scheduled data workflows and troubleshoot basic issues. Collaborate with cross-functional teams to support business data needs. Contribute to internal documentation and team knowledge sharing. Requirements REQUIRED QUALIFICATIONS Bachelor’s degree (or in final year) in Computer Science, Data Engineering, Information Systems, or related field. Familiarity with SQL and basic Python programming. Knowledge of data structures, basic algorithms, and database concepts. Willingness to learn big data technologies like Hadoop, Spark, or Hive. Strong problem-solving mindset, attention to detail, and team spirit. PREFERRED QUALIFICATIONS Internship experience in a data-related role. Exposure to cloud platforms (e.g., AWS, GCP) or workflow tools (e.g., Airflow). Familiarity with Linux/Unix command-line environments. Benefits Salary Range: $100,000 - 110,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

Who We Are Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world.  With 32 cloud data center locations around the world, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. Vultr Cares Excellent Medical Benefits w/ 100% company-paid premiums for employee only plan + 100% company-paid dental & vision premiums 401(k) plan that matches 100% up to 4% with immediate vesting Professional Development Reimbursement of $2,500 each year 11 Holidays + Paid Time Off Accrual + Rollover Plan + take your birthday off Commitment matters to Vultr! Increased PTO at 3 year & 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year $500 first year remote office setup + $400 each following year for new equipment Internet reimbursement up to $75 per month Gym membership reimbursement up to $50 per month Company-paid Wellable subscription   Join Vultr: As a datacenter technician on a day to day basis, you will be responsible for handling incoming data center support requests.   What to expect:   Installing and performing on-going maintenance on servers and network equipment. Including rack & stack of servers and switches, cabling, and physical configuration of devices. Responding to reported server, network, and infrastructure issues. Work with facility staff to ensure that power, cooling, and all other facility provided services are working properly; coordinate any maintenance, and ensure that any outages are addressed and escalated accordingly. Running hardware diagnostics and replacing failing parts in a timely manner. Work with vendor warranty technicians to ensure that any warranty issues are resolved promptly and properly.  Proactively identify issues and areas to approve efficiency and develop plans to resolve.  Setup, maintain, and document spare parts inventory.  Collaborating with software and network engineering teams on cybersecurity and network efficiency. Upgrading internal system components, including CPUs, memory, hard drives, and network cables. Maintaining detailed documentation of infrastructure, work, and physical parts inventory. Escalating issues as needed to ensure prompt resolution   Our new team member will need: 5+ years experience working in a datacenter as a technician or similar role installing, configuring, and troubleshooting server and network equipment. Ability to work independently to manage projects within the facility Firm understanding of servers, network equipment, and datacenter facility services like power, cooling, and cross connections to service providers. Experience with troubleshooting, building, repairing, and upgrading servers Strong organizational skills Superb communication skills   Compensation $65,000 - 75,000 This salary can vary based on location, years of experience, background and skill set. Vultr is committed to an inclusive workforce where diversity is celebrated and supported. All employment decisions at Vultr are based on business needs, job requirements, and individual qualifications. Vultr regards the lawful and correct use of personal information as important to the accomplishment of our objectives, to the success of our operations and to maintaining confidence between those with whom we deal and ourselves. As such the use of various key privacy controls enables Vultr’s treatment of personal information to meet current regulatory guidelines and laws. Workforce members have the right under US state law where and when applicable and certain other privacy and data protection laws, as applicable, to: fair and equal treatment, knowing what personal data we gather and retain, for what purpose, and the ability to access and/or delete such data. You also have the right to opt out of communications from Vultr and approved third- parties at any time.

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn  and  X ,  and discover the projects we’re solving on our  Blog . Be sure to explore our  Interviewing Guide  to learn how to ace our interview process. About the Role As a data engineer in the Monetization organization you will work on making Twitch’s massive data sets robust and consumable by people around the company. You’ll work with a team of other data engineers to build and maintain data pipelines that allow our stakeholders to understand our business. You can work from Twitch’s headquarters in San Francisco, CA. You Will: Work closely with data scientists and engineers to create robust data architectures and pipelines Develop and manage scalable data pipelines to extract, transform, and load data from various sources Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions Automate data processing and reporting workflows to improve efficiency and data integrity Implement data quality checks and monitor processes to maintain high data accuracy  Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3 You Have: 1+ year of experience working in a data engineering, data science, or software engineering capacity Deep expertise in writing and maintaining robust data pipelines in SQL and Python Ability to turn data requirements from stakeholders into actionable plans Extensive experience with cloud computing tools, like AWS, Azure, or Google cloud Proven experience implementing best practices in data pipelines, ensuring accuracy, consistency, and reliability Bonus Points Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field Experience with a scripting language (e.g., Python, Java, or R) Familiarity and interest in Twitch Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Job ID: TW8800 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience . Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit  https://www.twitch.tv/jobs/en/#learn-more . Applicants should apply via our internal or external career site.   US Pay Per Year $91,200 — $185,000 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs. We're looking for folks who want to earn weekly doing something strictly online and with maximum flexibility. This is a great way to earn extra money in your spare time by working at home! For more information apply to our job posting and then look for email to apply to our online site. * You must apply online additionally. Benefits Work when you want. Earn serious cash working part time or full time. Learn new skills that you can take anywhere. Ditch the commute & the high gas prices No degree required Supplement your existing job. No need to quit your current job, unless you really hate it. We provide training and tools to help you succeed in this industry Excellent gig for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online. Much more... Remote work from home skills could include: Typing 25+ words per minute You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Computer with internet access It is crucial that you be self-motivated and able to follow explicit directions to begin working from home Self Motivated - you must be 100% able to commit to working with little supervision Work from home jobs of this nature require Internet and one of the following: Laptop or PC, MAC, or Smart Device - Android or IOS Ready to get started? Apply today and start earning as quick as today. Thanks for checking us out and we look forward to helping you achieve your goal of earning extra side income. As a reminder the folks who work with us come from a wide variety of backgrounds like customer service representative, administrative assistant, health care workers, human resources, warehouse workers, car delivery drivers, remote work from home professionals, and many more.

We appreciate you checking us out! Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service rep Thank you for checking us out! Work From Home Data Entry Research Panelist Jobs - Part Time, Full Time This is a remote work from home position perfect for those with any type of work background such as administrative assistant, data entry clerk, typing, customer service representative, drivers etc. We are seeking individuals who are looking for part time or full time work or side gigs to be connected with companies who are hiring employees directly to work from their homes. You will find both full-time and part-time remote opportunities in a variety of career fields. Legitimate Work From Home Data Entry Jobs are going to require that you have skills relevant to the position you are applying for. Training is provided based on the position. JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn You must apply on our website as well so please look out for an email from us once you apply. Here's what you need to get started LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We look forward to working with you! Connect with us via email by applying to this posting! Flexibility to participate in discussions on-line or in-person. No commute needed if you choose to work from residence. No minimum hours. You can do this part-time or full-time Enjoy cost-free samples from our sponsors and partners for your feedback on their products. Click the 'Apply' button to make an application for this position now. This position is open to anyone looking for short-term, work at home, part-time or full-time job. The hrs are adaptable and no previous experience is required. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, call facility representative, and so on. If you are seeking a versatile part-time remote work from home job, this is a wonderful position for making a good side revenue.s or drivers. Unleash your skillset within an accommodating role that can be managed from any location! Are you searching for a new way to make money? Look no further – we are seeking individuals now who can work remotely from their own homes! Whether it's part-time or full-time, discover an opportunity that works best with your schedule. You will find both full-time and part-time remote opportunities in a variety of career fields. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Companies providing these jobs offer comprehensive training to the successful applicant so they can excel at their role! JOB REQUIREMENTS Computer with internet access Quiet work space away from distractions Must be able and comfortable to working in an environment without immediate supervision Ability to read, understand, and follow oral and written instructions. Data entry or administrative assistant experience is not needed but can be a bonus We are recruiting those who have a background in health care, warehouse worker, delivery drivers, customer service, etc - we welcome all backgrounds so long as you're ready to learn JOB PAY up to $250hr. (single session research studies) up to $3,000 (multi-session research studies) Applying on our website is necessary to ensure you receive important updates from us. Keep an eye out for emails with further instructions! To get started, these are the essential elements you'll need! LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone. Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute. Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory We're eager to collaborate with you! Take the next step and reach out via email--apply now for a position today! Take control of your work schedule with our flexible position that allows for remote or in-person participation. With no minimum hours, you can choose to tackle this role part time or full time from the comfort of home. Plus, gain exclusive access to complimentary samples from sponsors and partners as a reward for offering valuable feedback on their products! Act now by clicking 'Apply' and launch into an exciting new work at home job today! This position is open to anyone looking for short-term, work at home, part-time or full-time job. Do you want to add an extra stream of income ? Let us help! By participating in our paid market survey, people from all walks of life can earn some money. No prior experience is needed and the hours are flexible—perfect for those looking for a part-time job they can do remotely. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning!

We are currently seeking a DATA SCIENTIST I to join our Team! Overview of EasyPay EasyPay Finance, a fast-growing financial services technology firm established in 2001, assists merchants within the automotive services and retail industries to meet the financing needs of their customers at the point-of-sale. Headquartered in San Diego County, California, EasyPay Finance is working diligently to provide our clients and their customers with a superior product and experience. We are committed to empowering our dedicated employees, and providing competitive compensation, benefits, and incentives. When you join EasyPay, you become part of a team that is focused on working collaboratively to be the best in a fast-paced and emerging market. General Summary Reporting to the Head of Credit Risk and Analytics, the Data Scientist will play a key role in company efforts of transforming to a data-driven organization.  You will leverage advanced statistical, programing and analytical skills to mine data for delivering business insights.  Partnering with other analysts and business stakeholders, you will help turn these insights into actionable data-driven solutions.  The Data Scientist will partner with key business stakeholders to gather requirements, define KPIs and implement reporting solutions.  The Data Scientist will be responsible for preparing and summarizing results of solutions for business problems and present those to the business. Responsibilities: Use SQL, Python, R to pull data and perform analysis. Creates and improves reporting on KPI's on all aspects of the business, including financial, consumer underwriting and performance, sales, marketing, and call center metrics. Collaborate and assist in performing quality assurance checks on output prior to completion. Develops a deep end-to-end understanding of data strategy, structure and overall use within the business. Interface and communicate with business customers and team leads for scope, estimates, requirements, and project deliverables. Interface with the various information technology groups, as needed, for source-to-target mappings and reporting interfaces. Apply Machine Learning/AI solutions to business problems. Perform analysis and provide recommendations to improve portfolio performance. Present analytical results and ML/AI solutions to key business stakeholders. Design A/B testing scenarios to allow for objective measurements for improving business decisions and outcomes. Use Tableau, Power BI, Python, and/or R to automate monitoring of reports/metrics Perform other duties as assigned. Requirements: SQL R/Python 3+ years of experience in an analytical role or equivalent combination of degree and work experience. Understanding of statistical modeling techniques and ML/AI algorithms Exceptional critical thinking and problem-solving ability. Excellent attention to detail and accuracy. Self-starter and ability to work autonomously. Ability to multi-task and manage multiple projects at the same time. Very strong analytical skills to identify trends & patterns in datasets and interpret, synthesize, and communicate insights. Proficient in BI reporting platforms: Microsoft Power BI, Tableau Desired knowledge/skills: Knowledge of consumer finance Data Lake and AWS experience Qualifications: Education: Master's Degree in Computer Science, Mathematics, Statistics, MIS, Data Science, Economics, or a related field. What We Offer Medical, Dental and Vision insurance. Relax and recharge with our Paid Time Off (PTO) Program; plus paid holidays. Financial health with 401(k) programs and employer match. Take care of your emotional, physical, and financial wellbeing with access to our EAP. We invest in your future through ongoing learning and development resources. Save on taxes with Flexible Spending or Health Savings Accounts. Peace of mind with Life and AD&D Insurance. Internet allotment- $40 per month. Discounts for shopping at various retailers. Compensation: Salary Range: $80 - $100k annually EasyPay is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. *The Company reserves the right to modify, change, or apply this job description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying this position. This job description is NOT an employment contract, implied or otherwise. The employment relationship remains “at will”. These job requirements are subject to change to reasonably accommodate qualified individuals.

DRW  is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk.   Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.   We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.    DRW  is looking for an outstanding Engineer to lead the data build out for a mid-frequency systematic strategy. In this role, you will be tasked with planning, implementing and maintaining the data platform for a quantitative systematic trading group. This is a highly visible role where you can make significant impact to the trading desk with upside potential. You will be working directly with the Portfolio Managers, traders and the business head in identifying data needs and implementing high quality data service for trading and research. How you make an impact: Collaborate with Portfolio Managers and Quantitative Researchers in identifying data needs for multi-asset systematic strategy group. Lead the build out of industry leading data sets for trading mid-frequency systematic strategies. Leading the implementation of right data sourcing strategy and robust data pipelines and data quality management. Owning all the data needs for trading purposes. Implementing processes to deliver timely and accurate data sets every day of trading. Design and development of features using proprietary or industry standard models.   Supporting the trading desk enabling daily efficient operation. What we are looking for: A bachelor’s or a master’s degree in computer science, software engineering or equivalent. 7+ years of experience building data intensive platforms. Prior experience working in a trading team. With in-depth understanding of markets and data needed to trade systematically. Prior experience sourcing and building high quality data sets for systematic strategies. Collaborated with Research teams and Quants. Prior experience implementing modern data pipelines and data lakes is preferable. Likes working in a fast paced and performance-oriented environment. Bonus points if you have: Working knowledge of high-level machine learning concepts and lifecycle. Prior experience dealing with unstructured data. The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-JL]  

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team:  TORC is looking for an experienced principal engineer to serve as the architect and pragmatic visionary for data ecosystem for autonomous vehicle technology. This role will play a pivotal role in the success of the organization and comes with high visibility, responsibility, and technical impact.  This person must have a strong technical foundation in building and delivering high-performance, resilient, and scalable cloud computing solutions and will bring strategic insights, technical acumen, mentorship and facilitate collaboration across the organization.   What You'll Do:  Drive and grow the strategic technical vision for the Data & Enablement Division--responsible for foundational services and systems used by engineers and customers to build and support our autonomous trucking platform. Work within Torc’s Principal Community to mature our technical vision and drive technical direction across the organization. Collaborate with stakeholders to understand requirements and design scalable and maintainable software solutions that support the broader Technology organization. Be a role-model and set the standards of highest-level technical excellence and rigor within the Data & Enablement Division   Provide technical leadership and guidance to engineering teams in the Data & Enablement Division. Participate in design and code reviews, providing constructive feedback to ensure high-quality solutions that adhere to established standards and practices. Mentor and guide division engineers, assisting in their technical growth and fostering a culture of learning and development within the division. Troubleshoot and debug the most critical issues, determining the root causes, implementing appropriate solutions, and setting up safeguards against recurrences. Be able to analyze, and mentor others to analyze, system performance to implement necessary optimizations to enhance speed, efficiency, and scalability. Participate in project planning and collaborate with technical product managers on the priorities and customer expectations of the proposed software solutions. Stays up to date with the latest industry trends, technologies, and best practices for potential integration with existing solutions.   What You'll Need to Succeed: Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 20+ years of experience OR Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience  Ten-plus years of experience building and maintaining workloads in public cloud environments Strong technical communication skills, written and verbal, that scale to a diverse workforce Strong problem-solving skills with the ability to analyze and understand complex software system issues and evolving technical challenges Strong proficiency in Python and a commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code Strong ability to align technical objectives to business values and articulate the associated business value of technical work Strong time management and organization skills to plan, develop, prioritize effectively, and maintain competing demands simultaneously with frequent interruptions and in fast-paced environment Ability to facilitate and drive collaborative engagement across technical teams in a large engineering organization in person and virtually Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena) is preferred Familiarity with robotics and advanced driver assistance systems is preferred Experience developing data warehousing, data lake or data mesh solutions is preferred Experience scaling software and infrastructure architectures for simulation environments is preferred   Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance Hiring Range for Job Opening  US Pay Range $226,400 — $271,700 USD At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Jun Group is a technology company building a world where consumers are in control of their data and advertisers can reach them directly. Intelligent advertising that inspires trust is our guiding principle. We’re passionate about making advertising better for everyone through our consent-based approach that empowers the world’s largest publishers, brands, and agencies to achieve their goals with integrity, transparency, and peace-of-mind. We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States. Responsibilities include Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients Work with our DevOps team to create monitoring which ensures data integrity Experiment with new tech to find the right tool for the job Use Kanban to manage multiple releases per week Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks You want to be part of a small team inside a large company with massive opportunity for growth You enjoy collaboration with other teams including product, biz dev, and our in-house QA team You eagerly dig into complex engineering problems Preferred skills and experience 2+ years of relevant work experience You have built customer–facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis You’ve designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse You’ve built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster Familiarity with Google Cloud or AWS big data products Some company benefits include Competitive Pay Work Life Balance & Hybrid Work Life Health, Dental, and Vision Insurance  Mental Health Resources Volunteer Opportunities Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week. Salary Range: $80,000 - $100,000, plus incentive pay We’re open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords. Communications regarding your application will only come from @ jungroup.com  or @ hyprmx.com email addresses. 

Bertram Capital is a private equity firm targeting investments in lower middle market companies. Since its inception in 2006, the firm has raised over $3.5B of capital commitments. Bertram has distinguished itself in the private equity community by combining venture capital operating methodologies with private equity financial discipline to empower its portfolio companies to unlock their full business potential. This approach is unique in that Bertram is not singularly focused on achieving its investment returns through financial engineering and the extraction of near-term cash flow. Instead, Bertram focuses on reinvestment and technology enablement to drive growth and value through digital marketing, e-commerce, big data and analytics, application development and internal and external platform optimization. Visit www.bcap.com for more information. Position Description We are seeking a versatile Data Scientist to join our team. As a generalist, you will leverage your skills in data processing, modeling, visualization, and prompt engineering to evaluate potential investments, solve critical business challenges and identify growth opportunities across multiple industry verticals, including consumer, industrial, and business services. Your work will directly impact investment decisions, revenue growth, operational efficiency, and the seamless integration of add-on acquisitions. This is a unique opportunity to work across multiple businesses, partnering with the Bertram Capital investment team, as well as the marketing, sales, and operational teams at portfolio companies. Experience in the investment management or financial industry is an advantage, as is exposure to working with large language models (LLMs) like ChatGPT. Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and usability. Model Development: Build, evaluate, and deploy predictive and descriptive models to solve business problems, such as customer segmentation, demand forecasting, and operational optimization. Data Visualization: Create compelling visualizations and dashboards to communicate insights effectively to both technical and non-technical users. Cross-Functional Collaboration: Partner with management teams to make data-based decisions. Work with other members of Bertram Labs to develop marketing campaigns and internal tools. Revenue Growth & Operational Efficiency: Use analytics to identify opportunities for revenue optimization, operational improvements, and streamlined M&A integration processes. Leverage new AI technologies: Drive adoption of emerging generative AI technology within Bertram Capital and portfolio companies. Industry Research: Stay updated on trends in the consumer, industrial, and business services sectors to inform data-driven strategies.   Qualifications BS, MS, or PhD. in a quantitative field or equivalent work experience. 2+ years working in data science. Exceptional communication skills. Experience working cross-functionally and collaboratively. Proficient in SQL, Python and typical data science libraries. Proficient in extracting data from databases, APIs, web-scraping, and/or scripting. Proficient in business intelligence tools such as Tableau, PowerBI, or Looker. Experience in prompting and using LLMs such as ChatGPT, Claude, Gemini etc. Compensation and Benefits The expected salary range for this position is: $180,000- $210,000 total annual compensation. Offered salary may be based on a variety of factors including skills, experience, and qualifications for the role. After one year of tenure, employees will receive an additional annual bonus.   Comprehensive medical, dental, and vision benefits are provided at no cost to the employee. We offer a generous 401K match as well as a “take what you need” PTO policy. Other perks include: cell phone stipend, engaging team events and holiday parties. If hired, employee will be in an “at-will position” and the Company 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, Company or individual department/team performance, and market factors. Diversity, Equity, and Inclusion At Bertram Capital we value and celebrate the many perspectives that arise from a variety of cultures, genders, religions, national origins, ages, abilities, socioeconomic status and sexual orientation. Our commitment to Diversity, Equity and Inclusion (DEI) ensures that Bertram is a place that attracts, grows, and promotes top talent from all backgrounds.    

About Foursquare  Foursquare is the leading independent location technology and data cloud platform dedicated to building meaningful bridges between digital spaces and physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by the world’s largest enterprises and most recognizable brands. About the Team:  As a data engineer on the Places team, you will contribute to the platform services and pipelines that facilitate large-scale data ingestion and governance. You will ship software with high visibility and of strategic importance to Foursquare, directly impacting revenue and the experience of our customers and Open Source community. You will focus on implementing and productionization of our ML models, working closely with our Data Science team to improve model performance and scalability. The Places team owns all components of our places dataset: from ingestion and data expansion, to delivery mechanisms like our APIs. We own and iterate on the core building blocks of our customer and Open Source Places Product offering, which lays the foundation for Fourquare’s other products and services. In this role you’ll: Influence key decisions on architecture and implementation of scalable, automated data processing workflows Build big data processing pipelines using Spark and Airflow Focus on performance, throughput, and latency, and drive these throughout our architecture Write test automation, conduct code reviews, and take end-to-end ownership of deployments to production Write, deploy, and monitor services for data access by systems across our infrastructure Participate in on-call rotation duties Act as a force multiplier, conducting code reviews, and coordinating cross-team efforts Implement and advocate for best practices in testing, code quality, and CI/CD pipelines What you’ll need: BS/BA in a technical field such as computer science or equivalent experience. 3+ years of experience in software development, working with production-level code. Proficiency in one or more of the programming languages we use: Python, Java or Scala Excellent communication skills, including the ability to identify and communicate data-driven insights. Self-driven and feel comfortable learning without much hand-holding Eagerness to learn new technologies Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Nice to have: Experience with relational or document-oriented database systems, such as Postgres and MongoDB and experience writing SQL queries. Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi Our Tech Stack: Languages: Java, Scala, Python Tools for pipeline orchestration: Airflow, Luigi Data Processing Frameworks: Spark, MapReduce, Scalding At Foursquare, we are committed to providing competitive pay and benefits that are in line with industry and market standards.   Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and specific office location. The annual total cash compensation range is _____________   however actual salaries can vary based on a candidate’s qualifications, skills and competencies, as well as location.  Salary is just one component of Foursquare’s total compensation package, which includes restricted stock units, multiple health insurance options, and a wide range of benefits! Benefits and Perks: Flexible PTO - rest and recharge when you need it! Industry Leading Healthcare - comprehensive and competitive health, vision, dental, life insurance Savings and Investments - 401(k) with company match Equipment Setup - you will receive all necessary hardware for your job function Family Planning and Fertility Programs - programs via Carrot Hybrid Work Schedule  for in-person collaboration on Tuesdays, Wednesdays, and Thursdays. Things to know… Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe in order to build the best products, we need a diversity of perspectives and backgrounds. This leads to a more delightful experience for our users and team members. We value listening to every voice and we encourage everyone to come be a part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Foursquare Privacy Policy #LI-HYBRID #LI-MM1

Viam helps companies unlock the power of AI, data and automation in the physical world. We provide a single platform for engineers of all disciplines to solve problems together and build solutions that are fast and future-proof. Viam powers solutions across robotics, food and beverage, climate tech, marine, industrial manufacturing, and more. Founded in 2020 by former MongoDB co-founder and CTO Eliot Horowitz, Viam is headquartered in New York City. Senior/Staff Software Engineer, Data (Backend) We're looking for a Senior or Staff Software Engineer to help us build the future of data infrastructure in the Viam ecosystem. Our team is responsible for the full data lifecycle – from capturing data on customer devices, to syncing it reliably to the cloud, storing it efficiently, and making it accessible through flexible query patterns. A key challenge we face is the highly arbitrary nature of the data we work with. This can include anything from images or point-clouds captured by robots, to streams of sensor readings, to structured outputs from customer applications. We're building scalable, generic systems to support this wide variety of data – and we’re looking for someone who enjoys solving these kinds of complex, open-ended problems. In this role, you will:  Work on performant, reliable systems that allow our users to capture large amounts of data from their smart machines and sync it to our cloud service. Design and implement data processing and querying systems, and developer-friendly APIs. This includes integrating with AI and ML features, enabling data visualization, and powering customer applications. Collaborate across the engineering org, influencing high-level architecture decisions, contributing to the engineering roadmap, working directly with senior leadership, and mentoring other engineers. We’re looking for someone who:  Has experience designing and building systems for processing, analyzing, and querying data. Bonus points if you have built such a system from the early stages, or the ground up. Has an affinity for turning product requirements into straightforward, high-quality, well-tested software. Is excited to work as a team to refine and execute the Data team’s vision. Has software engineering experience using languages such as Golang, C/C++, Java, or Python. Has experience working with cloud technology, such as gRPC, MongoDB, or other databases, blob storage, Google Cloud Platform, AWS, etc. Benefits: 100% covered medical/dental/vision insurance plans Competitive salary & equity packages (see below) Reproductive Health Benefits, including Fertility Benefits and Abortion Access Travel Benefits 25 days paid vacation and generous holiday observances One Medical Membership Citi Bike memberships Commuter benefits Monthly wellness stipend to be used for a variety of fitness-related items like gym memberships, fitness classes, fitness equipment, apparel, and more Free lunch every day that you’re in the office Paid parental leave The starting salary for this role is between $204,000 - $259,000/year. Your exact offer will vary based on a number of factors including experience level, skillset, market location, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced, or more senior, than this job description as posted. In these situations, the updated salary range will be communicated with you as a candidate. In addition to cash compensation, Viam offers a comprehensive Total Rewards package that includes equity grants, health benefits, and more. Values: Vision Driven Collaborate Openly Act Decisively Succeed Through Diversity Hold Ourselves Accountable Lead with Curiosity Learn more about our  values here !  

Want to help us, help others? We’re hiring!  GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Staff Data Engineer to lead and own design strategy and implementation within data ingestion, data attribution, data security and data reliability and quality workstreams within our Data Platform team. We work with the latest and greatest data platforms and technologies including Snowflake, Databricks, mParticle, Kafka and Flink, amongst others. Your work will directly empower diverse teams in analytics, data science, and data-driven product development, fueling our mission to drive a culture of generosity worldwide. This position requires deep expertise in data ingestion, transformation, and orchestration across our diverse technologies, as well as a passion for data observability, pipeline reliability, and proactive monitoring. Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week. The Job… Lead the design, development, and optimization of data ingestion pipelines, ensuring timely, scalable, and reliable data flows into the enterprise data warehouse (Snowflake). Define and implement best practices for data ingestion, transformation, governance, and observability, ensuring consistency, data quality, and compliance across multiple data sources. Develop and maintain data ingestion frameworks that support batch, streaming, and event-driven data pipelines. Implement and maintain data observability tools to monitor pipeline health, track data lineage, and detect anomalies before they impact downstream users. Design and enforce automated data quality checks, validation rules, and anomaly detection to ensure teams can rely on high-integrity data . Own and optimize ETL/ELT orchestration (Airflow, Prefect) and ensure efficient, cost-effective data processing. Proactively support the health and growth of data infrastructure , ensuring it's secure and adaptable to future needs. Partner with data engineering, software engineering, and platform teams to integrate data from transactional systems, streaming services, and third-party APIs. Provide technical mentorship to other engineers on data observability best practices, monitoring strategies, and pipeline reliability. Stay curious—research and advocate for new technologies that enhance data accessibility, freshness, and impact. You have… 6+ years of experience in data engineering, with a strong focus on data ingestion, ETL/ELT pipeline design, and large-scale data processing. Proven experience in designing and managing data ingestion frameworks for structured and unstructured data. Expertise in data observability and monitoring tools (Monte Carlo, Databand, Bigeye, or similar). Strong experience with batch and real-time data ingestion (Kafka, Kinesis, Spark Streaming, or equivalent). Proficiency in orchestration tools like Apache Airflow, Prefect, or Dagster. Strong understanding of data lineage, anomaly detection, and proactive issue resolution in data pipelines. Proficiency in SQL and Python for data processing and automation. Strong knowledge of API-based data integration and experience working with third-party data sources. Hands-on experience with Snowflake and best practices for data warehouse ingestion and management. Experience working with data governance, security best practices, and compliance standards. Ability to collaborate cross-functionally and communicate technical concepts to non-technical stakeholders. Nice to have… Experience with event tracking, behavioral analytics, and CDP data pipelines (GA, Heap, Segment, RudderStack, etc.). Hands-on experience with DBT for data transformation. Understanding of data science and machine learning pipelines and how ingestion supports these workflows. Why you’ll love it here... Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering and Gives Back programs. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position is $181,000 - $271,000 + equity + benefits. Thesalary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.  If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com .  Dedication to Diversity  GoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers. Our diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required.  Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our  Newsroom .   #LI-GT1

At Citymapper (powered by Via), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transportation options available. We make getting around your favourite city easy, so that you can enjoy the ride. As a Data Analyst Lead at Citymapper, you will be responsible for the data and the team that is the backbone of our application’s success. You’ll lead a team of highly skilled and motivated Data Analysts who form the foundation of Citymapper’s exceptional data quality. Millions of users around the world trust our application to be on time for work, a job interview, or a date - and we take great responsibility in fulfilling that need. What You'll Do: You’ll lead a team of highly skilled and motivated Data Analysts, the driving force behind Citymapper’s exceptional data quality. You will work with our Product Manager to build for scale by improving tools and automating tasks, ensuring the highest data quality for all regions You will develop and evolve new ways of measuring and improving data quality, and work with our marketing team on telling that story. You will collaborate with other teams at Citymapper, Remix and Via to facilitate product development and delivery, customer success and retention, and user growth. You will ensure data quality in our web and mobile products so that users continue to love and trust Citymapper. Who You Are: A generalist with at least 6 years of experience to guide you – preferably as a technical/operations manager or team lead in a fast-paced, product-oriented company You have a proven track record of managing teams with exceptional attention to detail and a strong ability to uphold high standards across your team. A leader who builds and motivates high-performing teams through mentorship, clear goal-setting, and fostering a culture of continuous improvement You are comfortable dealing with large datasets and skilled at translating them into actionable insights that drive business decisions You excel at communicating complex technical concepts to both technical and non-technical audiences Fluency in English is a must (other languages considered a huge plus) What Catches Our Eye: While not required, it would be a definite plus: Experience working with Python, and/or common transit data formats (GTFS, TransXChange, Siri, Hafas, etc). A passion for public transportation and cities, and an interest in how public transportation networks operate. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $85,000-$115,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We pioneered the TransitTech category to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around.  We created the first end-to-end TransitTech solution for cities and transit agencies, offering world-class software, service design, and operational expertise to fundamentally improve the way the world moves. Via was founded with the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride?  Via is an equal opportunity employer. #LI-RB1