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Ivyhill has an immediate need for a Data Entry Specialist for its project located at Barksdale AFB, LA. The qualified candidate will provide data entry services and communication skills appropriate for a social environment. Will support the Transition Assistance Program (TAP) by assisting the military with providing information, tools and training to ensure service members are prepared for civilian life. The qualified candidate will: Establish contact with clients within 365 days of separation; utilize Tier decision tool to review and categorize Tier Assessments through email and/or individualized sessions; document Initial Counseling (IC) and Tiers as separate occurrences in the Air Force Family Integrated Results and Statistical Tracking (AFFIRST) database system. Create and update TAP related workshops in AFFIRST; assign and schedule required IC Transition tasks to complete for compliance and keep informational material updated. Update client checklist on DD Form 2648 in milConnect after completion of IC’s required workshops and documentation. Maintain accountability statistics for the Transition Assistance Program in AFFIRST; data will be used to develop charts, logs, and summaries. Utilize internet data bases and mechanisms such as: Teams, Zoom, and FaceTime and other online meeting media. Other related duties as assigned. Requirements Qualified candidate will: Possess a high school diploma or equivalent. Have a minimum of 6 months data entry experience. Be proficient with computers and office software programs to include Microsoft Office Products (Word, Excel, Outlook, etc.), Adobe, file management, etc. Demonstrate proficiency with various office automation software programs, tools and techniques to support TAP and produce a variety of documents, such as emails, reports, spreadsheets, databases and graphs. Be proficient in typing and working with a variety of office equipment. Must have the ability to locate, assemble and compose information for routine reports, inquiries and non-technical correspondence. Familiarity with military protocol. Have the ability to work effectively with diverse groups. Have the ability to communicate effectively, both orally and in writing, using tact and courtesy. Must be able read, write, speak and understand English. Have the ability to plan, organize work, multi-task, pay strict attention to detail and the ability to meet deadlines. Maintain compliance with privacy act information. Maintain work area in a neat and orderly manner. Be dependable/reliable. Benefits Ivyhill has a competitive benefits program which includes medical, dental and vision; Life and AD&D insurance; Short- and Long-Term Disability; supplemental Life insurance and a 401(k) Plan.

Northstrat is seeking a highly motivated Software Data Engineer who will play a critical role in ensuring the successful acquisition and management of mission-critical and mission support data sets. You will work closely with our team of experts to design and implement data solutions that meet the unique needs of our clients in the military space. Whether you have experience as a developer, analyst, or engineer, we want to hear from you. Your expertise in this area will be invaluable as we work to provide our clients with the highest quality data solutions possible. The successful candidate will have an understanding of data structures, algorithms, and software design principles, as well as experience working with large and complex data sets. They will work closely with our engineers to build and optimize our data pipeline and analytics systems. As a hybrid role, this position will require some on-site work, but you will also have some flexibility to work remotely. You will be part of a dynamic team of professionals who are passionate about their work and committed to delivering exceptional results. If you are a self-starter who thrives in a fast-paced environment and is eager to take on new challenges, we encourage you to apply for this exciting opportunity. Essential Job Responsibilities · Must have a strong working knowledge and experience developing Java based software capabilities. · Should have an inquisitive nature, responsiveness, and excellent testing skills. · Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. · Keep up to date with emerging trends and technologies in software development. · Will work in a fast-paced, small business environment with our talented team. · Additional duties as assigned. Requirements Security Clearance - Must have a current U.S. Government TS/SCI level security clearance; U.S. Citizenship required. At least 5 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience. Experience in designing enterprise APIs Experience in RESTful web services Experience in Microservices architecture Experience in Object Oriented Programming (OOP) paradigms Experience with the agile software lifecycle Has a proven ability to learn quickly and works well both independently as well as in a team setting Experience with the Linux operating system Experience with configuration management tools (e.g. Git, Nexus, Maven) Must have a DoD 8140 / 8570 compliance certifications (i.e. Security+). Must be able to travel up to 10% of the time or more based on customer needs. Must be able to work in a hybrid environment, spending an average of 2-3 days per week at our Colorado Springs, CO office. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience in cloud-based technologies (AWS, Azure). Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with our Big Data Platform is a plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, GitHub Enterprise, etc.) Benefits Work/Life Balance Northstrat values true work life balance. We offer power of choice benefits designed to best meet the needs of you and your lifestyle. Our benefits programs are designed to support and encourage wellness, healthy living, retirement investment, and lifetime learning. Flex Time Northstrat does not mandate specific working hours. Although project requirements may dictate schedules, a Northstrat employee is only required to work an average of 8 hours per weekday over the course of a month. For example: John worked 12 hours on June 1st to meet a project deadline. On June 15th, John only worked 4 hours because he left early for a long weekend. John’s IBA was not debited for time off because flex time allowed him to carry over those 4 hours from June 1st. Individual Benefits Account (IBA) To attract and retain the highest quality staff, Northstrat provides a unique and versatile benefits package, the Individual Benefit Account (IBA), which places the power of choice in the hands of our greatest asset – the employee. The purpose of the IBA is to provide attractive benefits to all full-time employees of Northstrat on a flexible basis that enables each covered employee to select a package that best suits his or her needs. Whether those needs are paid time off, medical expenses, prescription drug expenses, cash disbursement, or a combination of any of these, the IBA provides flexibility to help you meet your specific goals. The IBA can be used for such things as: Medical and Vision Insurance through United Health Care; Dental insurance through Delta Dental 100% Medical Reimbursement Time Off with Pay Profit Sharing Plan 401k Educational Benefits Additional Income IBA Benefits accrue each month in the amount equivalent to 50% of the employee’s monthly compensation rate. That is, the effective dollar amount of this accrual is in addition to an employee’s salary. Profit Sharing Plan (PSP) The PSP is a qualified retirement plan that Northstrat funds semi-annually on the employee’s behalf through the IBA in the amount equivalent to 25% (up to the IRS contribution limit) of the employee’s compensation. That is, of the 50% accrual in the IBA, half of the amount accrued is applied to the PSP. Stock Options Because Northstrat is an employee-owned company, all new employees are offered stock options. Employees have the opportunity to receive additional stock options based on accomplishment of individual performance goals. Stock owners elect the Board of Directors and are directly impacted by the success of the company. Lifelong Learning Our culture promotes and nurtures a growth environment. We hire and scale rapidly to meet the needs of our partner customers. Through the use of company provided online learning opportunities, periodic company sponsored training events, and the ability to use IBA funds for reimbursement of work-related education expenses you will have the opportunity to continually grow your skills and abilities. Bring Your True Self We embrace diversity and encourage inclusion. We support employee led interest groups and challenge our employees to support others and be their best self. We are so true to our beliefs that we offer employee referral incentives. When you like it here, your friends and family will too! Northstrat is an Equal Opportunity Employer We are committed to fostering an inclusive, diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other legally protected status.

The Global E-Commerce team focuses on building data infrastructure and data product areas to support business engineering teams working directly. As a data engineer in the Global E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. Responsibilities - What You'll Do • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis); • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business; • Establish solid design and best engineering practice for engineers as well as non-technical people. Position Requirements： Requirements • BS or MS degree in Computer Science or related technical field or equivalent practical experience; • Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.); • Experience with performing data analysis, data ingestion and data integration; • Experience with ETL(Extraction, Transformation & Loading) and architecting data systems; • Experience with schema design, data modeling and SQL queries; • Passionate and self-motivated about technologies in the Big Data area.

You will play a key leadership role across multi-disciplinary teams, guiding them through complex consulting engagements and be responsible for creating and positioning strategic change agendas within largest accounts across the C-suite, spanning the intersection between complex Business and IT customer solutions, transformations that impact across the entire customer Eco-system. As a Client Engagement Partner, you will have a pivotal role in driving profitable growth, leveraging our comprehensive capabilities to build strong client relationships, and leading your team to success. This role demands a strong presence, industry expertise, and the ability to cultivate relationships with CXO-level clients. Your leadership will be critical in fostering talent development and innovation within the organization. This role will also be leading the overall client engagement and delivering high quality client work alongside senior client stakeholders. Working in a transaction environment which may be pre or post deal, planning post deal implementation, and ultimately supporting execution. Partners will be focused on financial impact, utilization and contribution, client impact and leadership. Requirements You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience Deep Travel and Transportation industry experience with the ability to leverage industry trends, technology knowledge, and thought leadership to drive and win new consult-led engagements Extensive experience in client engagement and relationship management at the CXO level, particularly with line of business leadership Demonstrated ability to build and commercialize relationships with senior executives Sell and deliver: Proven track record of leading and executing complex projects with multi-disciplinary teams in a consulting or corporate environment Effective financial acumen with experience in driving revenue growth and managing margins Experience leading high-value business development activities with senior stakeholders •Significant personal brand and presence in the industry Demonstrated ability to innovate and drive change Demonstrated Data & AI expertise Benefits The compensation range for the position in the U.S. is $151,560 to $272,760 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience.  For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.          There is a different applicable compensation range for the following work locations:   California:               $166,680 to $327,240                                                                                 Colorado:                $151,560 to $272,760                                                                                 New York City:     $181,800 to $327,240                                                                                 Washington:          $166,680 to $300,120                                                                                 Washington DC: $166,680 to $300,120                                                                                 This position will be eligible for  discretionary annual bonus program.

Overview We are seeking a motivated and detail-oriented Data Science Intern to join our dynamic team. This PAID internship offers a unique opportunity to gain hands-on experience in data analysis, visualization, and application development within a collaborative environment. The ideal candidate will have a passion for data science and a desire to learn about various tools and methodologies used in the industry. Duties Assist in the collection and cleaning of data from various sources, ensuring accuracy and integrity. Utilize SQL for database management and querying to extract relevant information. Collaborate with team members to develop data visualizations that effectively communicate insights. Support the integration of APIs for data retrieval and manipulation. Conduct analyses using Python and scripting languages to derive actionable insights from datasets. Participate in land surveying projects, applying AutoCAD for mapping and design tasks as needed. Contribute to the development of models and algorithms that enhance data-driven decision-making processes. Document findings and present results to stakeholders in a clear and concise manner. Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Geography, or a related field. Proficiency in SQL and experience with databases is required. Familiarity with mapping solutions, ARC GIS, Cesium, etc, for spatial analysis is preferred. Knowledge of data collection methods and best practices. Experience with Python programming and scripting is essential. Understanding of data visualization tools and techniques to present complex information effectively. Basic knowledge of AutoCAD is a plus but not mandatory. Strong analytical skills with attention to detail and problem-solving abilities. Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment. This internship provides an excellent opportunity for professional growth while contributing to meaningful projects within our organization. We are a small business supporting the military in high conflict geopolitical environments. There are many opportunities for growth over the next year.

About the Role Are you passionate about transforming raw data into real business impact? We're looking for a strategic, hands-on Data Strategy & Engineering Lead to architect the future of data at one of the nation's leading real estate companies. In this role, you'll do far more than build pipelines—you'll drive a firm-wide transformation that empowers smarter decisions, accelerates AI integration, and unlocks the full value of our data. As the firm’s go-to data leader, you'll work cross-functionally with key stakeholders to understand business needs, build scalable infrastructure, and deliver insights that shape the direction of our company. You'll play a pivotal role in advancing our capabilities in generative AI, predictive analytics, and beyond. What You’ll Do Architect Our Data Future Evaluate current infrastructure and define a scalable, future-ready data strategy. Establish and maintain data governance, quality, and reliability standards. Build the Engine Design and develop robust ETL/ELT workflows for structured and unstructured data. Create and optimize data pipelines across cloud platforms (preferably Azure, but open to AWS/GCP). Use Python, SQL, and modern tools to turn messy data into business-ready intelligence. Collaborate and Deliver Impact Partner with teams across finance, leasing, operations, and development to understand their data needs. Build intuitive dashboards and reporting tools that bring data to life and support real-time decisions. Champion best practices for data entry, hygiene, and stewardship across the organization. Lead with AI & Innovation Help shape and lead generative AI initiatives—from experimentation to implementation. Collaborate on building proprietary tools powered by machine learning and AI technologies. Why You’ll Love It Here High Impact: Play a critical role in a transformative company-wide data initiative. Cutting-Edge Work: Help shape how AI and predictive analytics redefine real estate. Cross-Industry Exposure: Collaborate across disciplines in a fast-moving, data-hungry environment. Growth Opportunity: Lead with autonomy and help set the data agenda from the ground up. Requirements Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 5+ years of experience in data engineering, analytics, or business intelligence. Deep experience with Microsoft Azure (Data Factory, Synapse, Azure SQL), or similar cloud platforms. Strong proficiency in Python and SQL; experience with dbt, Power BI, or Tableau is a plus. Proven ability to design and scale data infrastructure and pipelines. Excellent communicator with a knack for translating technical work into business value. Familiarity with generative AI, APIs (e.g., OpenAI), or LLM frameworks is a strong bonus. About WS Development Massachusetts-based WS Development is a mixed-use developer with a singular mission: creating places people want to be. With an approach that values art, science, innovation and, above all else, people, WS strives to engage each community it serves with best-in-class experiences, designed with our customers, tenants and partners in mind. Established in 1990, WS is one of few vertically-integrated real estate companies that conceptualizes, owns, operates and leases more than 100 properties that range from cutting-edge urban spaces to lifestyle and community centers. With over 22 million square feet of existing space and an additional nine million square feet under development, it is one of the largest privately-owned development firms in the country. WS is where great ideas and great people come together to design, build, and operate some of the best loved real estate projects in the country. We live at the intersection of entrepreneurship and establishment. We have the infrastructure of decades supporting a culture of free-thinking excellence. We expect every WS employee to feel welcomed and valued irrespective of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, marital status, parental status, cultural background, and life experiences. Or for any other reason.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Requirements Responsibilities: Building and deploying scalable machine learning models using MLE and ML OPs frameworks Developing interactive web applications and dashboards to present data-driven insights to stakeholders Collaborating with cross-functional teams, including software developers and business stakeholders, to understand requirements and deliver impactful solutions Providing consulting services to help the organization make data-driven decisions. Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Proficiency in Python, SQL, and cloud-based data processing tools. Hands-on experience with  Data IKU, MLE, ML OPs,  and web application development frameworks. Strong experience on  Google cloud. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and presentation skills to effectively convey insights to stakeholders. If you are a versatile data professional who thrives in a dynamic, fast-paced environment, we'd love to hear from you. Join our team and help us drive data-driven innovation across the organization. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Software Engineer - Data Processing (Entry-Level) Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of our headquarters in the Greater Seattle area.  #LI-hybrid Who We Need   Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start. This Opportunity   Patients, doctors, and medical researchers deserve the same cutting-edge technological innovations that have transformed other industries. We're on the lookout for passionate software engineers who are eager to apply their skills to revolutionize healthcare. If you're excited by the challenge of using technology to improve lives and drive real change, we’d love to have you join our team.   At Truveta, you’ll work on impactful projects in a dynamic startup environment, solving computing challenges that directly improve lives. This entry-level role offers mentorship, professional growth, and the chance to contribute to cutting-edge healthcare technology.   In this position, you will be building large scale data processing platforms, solving complex distributed data issues, and tuning performance of data processing pipelines. This opportunity requires creative problem solving within the guidelines permitted by law as well as implementing and supporting systems capable of processing healthcare data at unprecedented scale.   Responsibilities Apply software engineering fundamentals to build reliable and user-friendly software solutions using modern cloud-based tools and practices. Build large scale distributed systems, and data pipeline and ETL solutions.   Collaborate with teammates to develop and test components of Truveta’s platform, including web interfaces and backend services. Participate in code reviews and learn best practices for writing clean, maintainable code. Explore and contribute to proof-of-concept integrations within Truveta’s ecosystem under the guidance of senior engineers. Embrace curiosity and a growth mindset to learn about healthcare technology and deliver on our mission. Adhere to Truveta’s principles of ethical innovation, privacy, and security, with ongoing training provided. Key Qualifications A recent / expected graduate from a program in Computer Science, Bioinformatics, Computational Biology or related field of study   Familiarity with programming in one or more modern languages (e.g.: JavaScript, dotnet, python, java) through coursework, internships, or personal projects   Basic understanding of web development or backend development (e.g., HTML, CSS, REST APIs, databases, server-side logic) Interest in learning about distributed systems, data pipelines, or healthcare technology as well as  big data and ETL pipelines     Strong problem-solving skills and a willingness to learn in a collaborative team setting   Passion for Truveta’s mission to improve healthcare through data   Nice-to-have: Experience with genomic data or healthcare-related projects is a plus but not required. Knowledge of SQL and Spark  Exposure to cloud platforms (e.g., Azure, AWS, GCP) through academic projects or internships is a plus   Contributions to open-source projects, hackathons, or personal coding projects. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $75,000 to $90,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.  

About Highnote  Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability. We’ve raised $145M+ and have grown our team to 125+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states.  Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet. We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.  Job Description As a Data Scientist focused on Fraud Detection, you will be tasked with the critical mission of protecting Highnote and our innovative clients from financial losses and reputational damage. The position requires a blend of rigorous analytical skills, deep machine learning expertise, and a growing understanding of the payments fraud domain. Success in this role means effectively identifying and mitigating threats from issuance card transaction fraud and both first-party and third-party account application fraud, thereby ensuring a secure and seamless experience for legitimate users while thwarting malicious actors.  Key Responsibilities: Data Analysis & Pattern Identification: Conduct thorough exploratory data analysis on large, complex datasets encompassing transaction logs, application details, user behavior patterns, device information, network data, and other relevant sources. Your goal is to proactively identify emerging fraud trends, sophisticated attack patterns, and subtle anomalies specific to card issuance transactions and account application vulnerabilities (including first-party and third-party identity fraud). Model Development & Implementation: Design, develop, rigorously validate, deploy into production, and meticulously monitor machine learning models. These may include techniques like logistic regression, decision trees, random forests, gradient boosting machines, clustering, or anomaly detection (outlier detection) algorithms. Complement these models with well-defined rule-based systems where appropriate. The objective is to detect and prevent fraudulent activities in real-time or near real-time, adapting models as new fraud patterns emerge.4 Feature Engineering: Conceptualize, create, and refine impactful features for fraud detection models. This involves leveraging diverse internal data streams from Highnote's unified platform and potentially integrating external data sources. Strategy Optimization & Experimentation: Design, execute, and analyze A/B tests and other controlled experiments to rigorously evaluate the performance of different fraud detection strategies, specific rules, and machine learning models. The focus is on optimizing the trade-off between maximizing fraud prevention effectiveness and minimizing the impact on legitimate user transactions and onboarding experiences (reducing false positives). Performance Monitoring & Iteration: Establish and maintain comprehensive monitoring systems, dashboards, and reporting mechanisms to continuously track model accuracy, rule precision/recall, key fraud metrics (e.g., detection rates, false positive rates), and overall system health. Cross-Functional Collaboration: Work closely and effectively with Engineering, Product Management, Risk Operations, and Compliance teams. This collaboration is essential for understanding business requirements, operationalizing models and rules efficiently within production systems, integrating necessary data pipelines, and providing actionable, data-driven insights to inform broader risk strategies. Communication & Reporting: Clearly and concisely communicate complex analytical findings, model behaviors, performance metrics, and strategic recommendations to diverse audiences, including technical peers, operational teams, product managers, and executive leadership. Qualifications A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Data Science, Mathematics, Engineering, Physics, or equivalent practical experience demonstrating strong analytical foundations. Minimum of 7+ years of hands-on professional experience in data science or machine learning roles. Experience within fraud detection, risk management, payments, or the broader fintech industry is required. Strong proficiency in Python for data analysis, statistical modeling, machine learning implementation, and scripting automated processes. Proficiency in SQL for efficient data extraction, transformation, and analysis from large, complex relational databases or data warehouses. Direct, hands-on experience developing and deploying models or rule sets specifically targeting card issuance and acceptance transaction fraud (e.g., detecting unauthorized use, velocity attacks) or account application fraud (e.g., first-party fraud, third-party identity theft, synthetic identity detection). Experience with synthetic ID detection and device fingerprinting  is particularly valuable. Solid understanding and practical application experience of core machine learning concepts and algorithms, particularly classification (e.g., logistic regression, SVM, tree-based methods), clustering, and anomaly detection techniques relevant to fraud. Demonstrated experience with the end-to-end machine learning model lifecycle: data collection and cleaning, exploratory data analysis, feature engineering and selection, model training and tuning, validation (including handling imbalanced data), deployment strategies, and ongoing performance monitoring. Excellent analytical and problem-solving skills, with a proven ability to dissect complex business problems, formulate quantitative approaches, and deliver practical, data-driven solutions. Strong communication and interpersonal skills, capable of clearly explaining intricate technical details and model outcomes to both technical and non-technical stakeholders. Preferred Skills An advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Data Science, or another relevant quantitative discipline. Strong expertise in data modeling with a deep understanding of both structured and unstructured data formats, including common techniques for data transformation and normalization Proficiency with data visualization tools (e.g., Tableau, Looker, Matplotlib, Seaborn) to create informative dashboards and communicate insights effectively. A deeper understanding of the broader payments ecosystem, including card network operations (Visa, Mastercard), ACH processes, payment processors, and relevant regulatory frameworks (e.g., KYC/AML). Why Highnote? We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization.  We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees.  We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity.  We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade). Highnote benefits Flexible Paid Time Off  100% healthcare coverage + 75% coverage for dependents 401k program Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent Equity in Highnote Stipend to build out your home office; internet and phone reimbursement At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $180,000-$220,000.  Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc). Please note that positions located in San Francisco are hybrid and include core working days of Tuesday, Wednesday, Thursday in office. We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.

About Us: Telementum was established in 2021 as a holding company for some of the largest and most recognized brands in mobile accessories.  From product, distribution, logistics, and business insights, Telementum is changing the category with fresh solutions to our customers challenges and outstanding products to consumers.  Our portfolio of brands include:   Speck Products is the OG of the mobile accessories category.  Founded in 2001 and headquartered in San Mateo, California, Speck has gained recognition for its innovative and stylish cases that offer both protection and personalization for consumers' devices. Speck's cases are known for their durability, impact resistance, and slim profiles. Speck continues to innovate and expand its product offerings with the introduction of ClickLockTM attachable accessories and true wireless earbuds in 2023. Tech21 , since 2005, has been developing the most advanced cases and screen shields for mobile, tablet and laptop devices worldwide. Tech21 combines science, engineering, and British design to create products that address three core consumer benefits: style, protection and performance. As the brand evolves to continue meeting the needs of its consumers, Tech21 has developed the most advanced impact protection material on the market – FlexShock™. The ultra-thin and lightweight material absorbs and dissipates force and can withstand drops up to 13 feet. Tech21 puts all its products through a rigorous testing program, and in an industry-first has worked with the  National Physical Laboratory  (NPL) to develop its testing methodology. Tech21 is the number one case brand in the UK. Alphacomm custom designs, manufactures and distributes wireless accessories to over 18,000 points of distribution, primarily in the Prepaid wireless market in North America. Alphacomm leads the wireless industry in the number of carrier brands managed and is the first to market carrier-licensed accessory portfolios for over fifty devices launched annually. In-house brands, Quikcell and BosBos , are leading brands designed and manufactured by Alphacomm for the Prepaid channel.     About The Role: As a Product Data Specialist, you will play a critical supporting role in the creation, maintenance, governance, and quality assurance of item master data in ERP and other related systems. This role ensures that all product-related data is accurate, consistent, and compliant with internal standards and external regulatory requirements to support business operations, procurement, inventory, and supply chain processes. You will work alongside Product Management, Planning, Sales, and Marketing to provide accurate data, maintain product documentation, and support the execution of product initiatives. Your analytical mindset, attention to detail, and ability to coordinate across teams will help ensure our products meet customer expectations and align with business goals. Responsibilities: Item Creation: Managing enterprise new item creation within data management system and change request process. Ensure accurate product data entry for all new launches (accurate pricing, specifications etc.) Master Data Management:  Ensure the accuracy and completeness of data related to part numbers, product descriptions, units of measure, pricing, vendor information, and classification codes Perform data validation, cleansing, and audits to ensure data integrity and quality. Monitor and enforce data governance policies, including naming conventions, data standards, and data change controls. Skilled Lifecycle Management: Collaborate closely with Product Management, Supply Chain and sales to support documentation needed for pricing, promotions, and lifecycle management strategies that secure our product's market share and drive revenue growth. Assist in Customer Insights & Market Research: Support product managers by gathering and organizing market research data. Maintain competitive analysis documents and customer insights to assist in product decision-making. Provide Data & Documentation Support for Product Strategies: Assist in evaluating product performance metrics and organizing specifications. Generate reports and dashboards to support data management activities and identify areas for improvement. Maintain up-to-date product documentation, SKU trackers, and assortment planning files. Accelerate Product Launches: Act as a support liaison between Product, Planning, Procurement, and Sales by providing timely data and updates. Your attention to detail will be critical in maintaining trackers, and documents by customer segment. Other duties as assigned by management. Requirements 4+ years of experience in data / product management preferably in a manufacturing or supply chain environment. Experience with ERP systems (e.g., SAP, Oracle, JD Edwards, Arena etc.). High attention to detail and a commitment to data accuracy. Excellent communication and collaboration skills. Strong analytical and problem-solving skills. Preferred Skills: Bachelor’s degree in business, Supply Chain, Information Systems, or a related field. 2 years’ experience in Oracle NetSuite Wireless/mobile accessories industry experience a plus! Benefits Insurance Medical Dental Vision Voluntary Short-Term Disability Voluntary Supplemental Life/AD&D Voluntary Accident Voluntary Critical Illness Company paid Long-Term Disability Company paid Basic Life/AD&D Time Off 11 total holidays, including 4 "Floating Holidays" which are employee chosen dates Generous PTO policy Retirement 401k (Traditional and/or Roth options) 401k company matching

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.

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 Watershed Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London and Sydney, and remote team members across the US and Europe. We hope that you'll be interested in joining us! The role Do you love to build great technology and great teams? Watershed is working to scale a world-class engineering team, and we’re hiring for an experienced Engineering Manager to help lead this work. You will join a team of peer Engineering Managers and technical leads to define the culture and practice of engineering at Watershed. We view hands-on engineering and engineering management as parallel career paths. We admire Engineering Managers who have a track-record as engineers, maybe pendulumed back and forth, and now want to grow as a technical leader focusing on people and product. Your job is to empower each engineer on the team to do the best work of their career-to-date. Each Engineering Manager is going to customize the role a bit — contributing a blend of technical, people, and product experience. As one of the early managers in our New York office, you’re setting culture not just for your team, but for the office as a whole. You, along with the rest of Watershed’s leadership and people teams, are responsible for building a diverse, inclusive, and hard-working organization. We are excited to work on this together! In this role, you will : Be a first line manager leading the Datasets and Objects team, a core platform team that owns our data lake and business intelligence tools. Manage a team of 9-10 engineers Inspire and lead the team through the next phases of growth ($100M+) Partner closely with Product, Design and GTM teams You might be a good fit if: 3-5+ yrs of engineering team management experience Have 8+ years of overall developer and management experience in total Have grown and managed teams of 8+ engineers Have a strong platform engineering background:  building business specific systems that all other engineering teams use in a scaling company Good product sense, working closely with customers  Must have B2B experience, and big plus to have enterprise SaaS experience Experience developing products is a plus A mix of scrappy startup and big company experience is a plus This position is required to be in person in our New York office. At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate’s skills, capabilities, and location, as well as scope of the role. The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs etc.  Salary Range $227,000 — $275,300 USD   FAQ Where does Watershed work? We have hub offices in San Francisco, New York and London, and some remote team members in the US and EU. Most of our jobs need to be in San Francisco / New York / London, but certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel after that if the screens go well. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications; C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally; and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI   As a Data Scientist or Senior Data Scientist - Federal, you will work with some of the largest organizations on the planet to help them build the next generation of AI-powered enterprise applications. You will work directly with data scientists, software engineers, and subject matter experts to define new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.     Qualified candidates will have an in-depth knowledge of common machine learning techniques and their application. Candidates should also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.   This role requires US Citizenship Responsibilities: Lead the research, design, implementation, and deployment of Machine Learning algorithms, intelligent agents, or optimization solutions for enterprise applications leveraging the C3 AI Suite. Assist and enable C3 AI’s federal customers to build their own applications on the C3 AI Suite. Contribute to the design and implementation of new features of the C3 AI Suite. Qualifications: US Citizenship (and willingness to obtain a security clearance) MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research or equivalent fields. Applied Machine Learning experience (regression and classification, supervised and unsupervised learning). Strong verbal and written communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences. Confident presenter, capable of articulating insights, results, and strategies to stakeholders, executives, and customers in high-stakes or strategic settings. Strong mathematical background (statistics, linear algebra, calculus, probability, and optimization). Ability to dive into a large ML codebase to debug and improve it. Ability to drive a project and work both independently and in a team. Preferred Qualifications Active TS/SCI with CI or Full-Scope Polygraph Experience with deep learning, natural language processing, computer vision, or application of large language models (RAG, Agentic, etc.). Understanding of optimization (constrained, stochastic, convex and non-convex optimization problems) C3 AI provides a competitive compensation package and excellent benefits. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.   C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

About us At Udemy, we’re on a mission to transform lives through learning. Through our intelligent skills platform and a global community of instructors, we’ve helped nearly 80 million learners and more than 17,000 organizations achieve their goals. Come join us in ensuring everyone, everywhere has access to the skills they need to unlock their potential and create possibilities for themselves and others. Learn more about us on our company page . Hybrid work Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, and Melbourne. This hybrid position requires three days per week in the office at the nearest hub. Learn more about us on our company page . About your skills Problem solving with orientation towards action: You’re a data scientist who’s passionate about turning raw data into meaningful insight and action. You know that great analysis doesn’t just explain what happened; it helps people understand why it matters and what to do next . Confidence working with big data: You’re fluent in SQL, Python and Tableau, and comfortable navigating ambiguous business problems. Storytelling : You’re equal parts technical and communicative, and the intersection of data science and storytelling excites you.  You enjoy mining data for actionable insights, uncovering patterns in behavior that drive business outcomes, and presenting your findings to senior leaders. Organizational agility: You thrive in cross-functional environments, especially when working closely with Marketing, Product, Growth and Finance teams. You’re curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight. About this role The Staff Data Scientist, Consumer Business Analytics will play a key role in supporting Udemy’s consumer (i.e., non-enterprise) learners. This role, which is part of Udemy’s Strategic Business Analytics organization, will partner closely with our GM of Consumer, as well as product, marketing and finance leaders, to drive profitable top-line growth for Udemy’s Consumer business. You’ll blend data science techniques with strong business acumen and communication skills to proactively identify drivers of consumer revenue performance, acquisition and retention of buyer cohorts, and overall engagement patterns (e.g., what types of content result in increased learning and repeat purchase rates) – all in service of informing strategic decisions. This is a highly visible role that sits at the intersection of analytics, strategy, marketing and product. What you’ll be doing   Data-Driven Consumer Strategy: Partner with Udemy’s Consumer GM, Marketing and Product leadership to deliver compelling, data-informed insights that help inform our tactics/strategies for accelerating consumer acquisition and growing consumer LTV through increasing engagement. Support customer segmentation efforts using behavioral and transactional data to inform marketing, product, and personalization strategies. Build executive-level data visualizations to track consumer performance (e.g., revenue and its component driver, cohort-level trends, LTV, content consumption, adoption of individual product features including Udemy’s subscription offering, etc.) Proactive Insights & Signals: Analyze revenue growth drivers by geographic market, channel, product solution, and customer segment to identify opportunities for optimization. Design and implement proactive alerting tools (e.g., using Tableau) to surface leading indicators of consumer revenue drivers and inform financial forecasts. Partner with Finance to help maintain forecasting models for key business metrics (e.g., revenue, traffic, conversions, churn) that are used in planning and investment decisions. Leverage behavioral data to identify patterns and trends that inform marketing tactics, product design/experimentation, and consumer lifecycle planning. Analytics Innovation: Develop new methods for measuring customer value and learning impact, grounded in data science best practices. Use advanced analytics techniques (e.g., clustering, regression) to uncover insights that shape how we serve consumer learners. Collaboration & Scale: Translate open-ended business questions into structured analyses and actionable recommendations. Support a wide range of self-directed projects and stakeholder requests while identifying repeatable processes that can be operationalized or scaled through automation and/or expanded reporting. Collaborate with cross-functional teams, including Marketing, Product, Finance, other Data Science Teams, and Analytics Engineering, to improve data pipelines and accessibility. What you’ll have   5–7 years of experience in a data science or analytics role, ideally with experience in customer insights. Expert-level SQL skills; experience with Databricks or similar cloud data warehouses, comfort combining data from various sources into cohesive models Experience utilizing Python or other scripting languages. Proficiency in data visualization tools, ideally Tableau, with a strong eye for visual storytelling and usability. Experience applying predictive modeling, segmentation, and statistical analysis to support business decision-making.  Your data science toolkit includes a range of analytical approaches, frameworks and technical solutions to draw from. Excellent communication and storytelling skills; capable of independently developing executive-ready presentation materials and presenting insights with confidence. A proactive mindset, strong ownership, and a collaborative approach to working across teams. Comfort balancing competing priorities and working in a fast-paced environment. At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for benefits and equity. Hiring Compensation Range $150,000 — $187,000 USD We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Life at Udemy  We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy: We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it. Learning is what we do – inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend. Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success. We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work.  Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs? At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability.  Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our US Benefits,  Ireland Benefits & Turkiye Benefits pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.  Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. Information regarding data privacy is available within the Udemy Careers Privacy Notice .

About Us With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality. Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market. At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us. Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come. Reports To Senior Director Global GSM Qualifications  Experience in data models and reporting packages Ability to analyze large datasets Ability to process large sets of data, write comprehensive reports and creating dashboards for the business to make sound decisions Strong verbal and written communication skills An analytical mind and inclination for problem-solving Attention to detail and results oriented Bachelor’s Degree or minimum of 8+ years proven experience in Data Analyst Role Advance Microsoft suites - Excel level, PowerPoint Requirements  Use of analytical / statistical programming tools for data extraction and summarization, statistics, visualization, and analysis. Ability to develop and modify queries to extract large amounts of data for standard and ad-hoc data requests Collect and review quotations from vendors; analyses and creates visual representations and summary reports of findings. Develops meaningful dashboards and presentations that use information to inform and influence business activities and strategies Create quotation packets for new product items Extract, sort, cleanse, aggregate and process data from multiple sources, developing queries and reports based on business requirements Work both independently and as part of a larger team supporting various internal customer groups on identifying business challenges and evaluating solutions to achieve objectives Collaborate with cross-functional teams to develop business cases, identify business problems, and understand desired business outcomes Completes analysis and applies judgment to derive recommendations for complex challenges and initiatives such best total cost comparisons Collect, gather from multiple input sources, analyzing and represent to larger stakeholders Prepares and presents standard and ad-hoc analysis to business partners that help guide decisions and support results Location Campbell, CA (this is an onsite position / 5 days a week) ChargePoint is committed to fair and equitable compensation practices. The targeted US salary range for roles at this operating level is $60,000  to $ 135,000 . This range represents base salary and does not reflect equity, benefits or variable pay where applicable. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications and specific work location.     We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. If there is a match between your experiences/skills and the Company needs, we will contact you directly. ChargePoint is an equal opportunity employer.  Applicants only - Recruiting agencies do not contact.

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.