Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Associate –Data Analyst / Data ScientistMortgage Financing & Structuring The Residential Mortgage Finance Team sits within the Fixed Income Division and is responsible for providing structured financing solutions secured by U.S. residential mortgage collateral. The team works closely with originators, aggregators, servicers, and institutional investors to design, price, and execute complex financing facilities and securitization transactions.We are seeking an Analyst or Associate level Data Analyst / Data Scientist with a strong technical background and a clear interest in learning RMBS structuring and structured finance. This role is designed as a technical entry point into the structuring function, offering direct exposure to transaction mechanics, collateral analysis, and deal execution, with a long-term pathway into a full structuring or banking role.This is a hands-on, analytical position intended for Data professional who is comfortable owning complex datasets, building scalable analytics, and partnering closely with structurers and bankers on live transactions. Role & Responsibilities Working alongside RMBS structurers and financing bankers, leading the analytical and data-driven aspects of the business, including: Designing and maintaining databases for large-scale residential mortgage loan-level data, collateral tapes, and performance history Building pricing, cash-flow, and risk analytics to support financing facilities, securitizations, and portfolio monitoring Supporting transaction structuring, including collateral stratification, scenario analysis, and stress testing Developing automated reporting and risk dashboards for internal stakeholders and senior management Implementing process automation to improve efficiency across data ingestion, validation, modeling, and reporting workflows Partnering cross-functionally with structurers, traders, risk, operations, and technology teams to enable data-driven decision making Contributing to the continuous evolution of the team’s analytical infrastructure, tools, and methodologies Technical Skill Set (Core Requirements) This role requires strong, demonstrable coding and data expertise: Proficiency in Python for data analysis, modeling, and automation Experience with SQL and database design (relational and/or NoSQL) Experience working with large, complex datasets in a production environment Familiarity with analytics and visualization tools such as Tableau, Power BI, Looker, or equivalent Solid understanding of data modeling, analytics engineering, and data architecture concepts Experience & Background 1–5 years of professional experience in data analytics, data science, analytics engineering, or a closely related technical role Prior exposure to financial services, capital markets, risk analytics, pricing analytics, or structured products preferred Demonstrated ability to translate raw data into actionable insights for business stakeholders Intellectual curiosity and a strong desire to learn structured finance, RMBS, and transaction structuring Profile of the Ideal Candidate A programmer first, with finance as the domain to be mastered Comfortable operating in a deal-driven, fast-paced environment Detail-oriented, analytical, and capable of managing multiple concurrent initiatives Motivated by depth of understanding and long-term growth into a structuring or banking role Why This Role This position offers a rare opportunity to apply advanced analytics and data science in a high-impact structured finance environment, work directly with structurers and bankers on live RMBS transactions, and build a long-term career path from technical expert to structurer or financing banker. The expected base salary ranges from $110,000- $150,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. #LI-Onsite Other requirements Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process . Company Overview Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill​, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com .​​ Mizuho Americas offers a competitive total rewards package. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.

You’ve Never Been Satisfied with “Good Enough.” You want to make an impact, not just manage projects, but change how the world gets built. At Accenture Infrastructure & Capital Projects, you’ll do exactly that. You’ll help develop and deliver the factories, grids, transit systems, and public infrastructure that keep communities moving - and do it smarter, safer, and more sustainably than ever before. You’ll work alongside people who think big and act bold - project managers, engineers, technologists, and strategists who blend real-world experience with digital innovation and AI. Together, we’re transforming how capital projects are planned, managed, and executed, creating a better way to build for the future. Because “good enough” builds the past. You’re here to build what’s next, on a team that outperforms every norm. Visit us here to learn more about ​ Accenture Infrastructure & Capital Projects THE WORK: You’ll monitor, coordinate, and enforce construction compliance with contract documents, safety regulations, and environmental requirements. You’ll perform daily field inspections to verify work aligns with approved plans and specifications. You’ll identify non-compliant work, take corrective action, and promptly report critical issues or potential delays. You’ll oversee contractor performance, schedules, and responsiveness, documenting all personnel, equipment, and activities. You’ll influence contractors to meet project goals related to cost, schedule, and quality. You’ll manage the contractor payment process and recommend adjustments as needed for effective project control. You’ll maintain and enforce safety and health standards to protect both the public and project personnel. You’ll perform constructability reviews of design plans and ensure all approved modifications are reflected in final drawings. You’ll communicate and coordinate with contractors, clients, regulatory agencies, and other stakeholders. You’ll ensure overall project compliance, documentation accuracy, and adherence to established procedures and standards. Flexible : The work location for this role will include a mix of working remotely, onsite at a client or in an Accenture office or center. HERE’S WHAT YOU’LL NEED: B.S. or higher degree in Civil Engineering, Construction Management or related field, or equivalent experience 10+ years of experience in construction management, preferably within a data center or mission critical facilities 3+ years of senior level construction management or design management experience BONUS POINTS IF YOU HAVE: PE, CCM, and/or LEED preferred Strong problem-solving abilities to identify issues and propose effective solutions Good verbal and written communication skills for effective collaboration with team members and vendors Ability to effectively lead a diverse team of professionals inside of a dynamic team environment while also being capable of taking initiative when necessary Strong knowledge of industry standards Experience with or coordination of project management tools such as MS Project, Primavera or other relevant software $150,000 - $170,000 a year Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in Massachusetts, Illinois, Minnesota, California, Colorado, District of Columbia, Maryland, New Jersey, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure & Capital Projects LLP or one of our other legal entities - Accenture Infrastructure & Capital Projects, LLC or Accenture Infrastructure & Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist , you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City , CA What You'll Do Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing Find and develop your own roadmaps with business partners and carry out project management and execution of your own work Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team What You've Done 7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred. Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn) Experience in building production level models in cloud environments (e.g., AWS, Azure) Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs What We Offer Accelerated Growth Environment : An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package : Competitive base, equity, and upside that tracks with your impact. Flexible Time Off : Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. Comprehensive Benefits Package : Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $200,000 — $250,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Benefits: 401(k) Competitive salary Paid time off WHO IS JLM STRATEGIC TALENT PARTNERS & WHAT IS OUR ROLE We partner with National & International prime contractors to provide them with qualified talent they can trust. We accomplish this by sourcing & vetting high level career seeking candidates in the industry and match them with our partners current open roles. Our objective is to help our general contractor partners build out project teams for high level infrastructure projects across the US. We aspire to partner with candidates who are eager to learn, grow, and progress in their career path while deepening their knowledge in their given field. We deeply value our partnerships and place great emphasis on maintaining strong relationships and long term hires.This is reflective in our competitive offerings to our hires including: Ongoing HR support Competitive benefits packages including- Health, Dental, Vision & Life insurance Our very own JLM Rewards incentive program THE IDEAL CANDIDATE The ideal candidate has a proven track record of working in a team environment. They thrive in a fast paced and a team oriented environment. They get excited about construction projects as well as completing assignments on time. An individual who will do well in this position is self oriented, organized, a great communicator, and approachable. Comfortable working within a team environment at the project site. KEY RESPONSIBILITIES/SKILLS Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement. Reporting: Run regular and ad-hoc reports, interpret the data, and present findings to managers and colleagues in a clear and concise manner. Problem Solving: Address and resolve challenges using data. Communication: Collaborate with cross-functional teams, communicating findings andrecommendations clearly to both technical and non-technical audiences. Independent Work: Ability to work independently, manage time effectively, and deliver high-quality work with minimal supervision. Learning and Adaptation: Quickly learn and adapt to new software tools and platforms that support project management and data analysis. Continuous Improvement: Identify areas of improvement within existing processes and software tools, recommending and implementing changes that enhance project outcomes. Qualifications : Bachelor’s degree in Business Administration, Finance, Engineering, or any other related field. Proven experience as a Business Analyst or in a similar role, preferably within a project based environment. A proactive approach to personal career growth, seeking opportunities to develop new skills and advance within the company. Strong proficiency with spreadsheets (Excel, Google Sheets) and smart sheets. Excellent problem-solving skills with a focus on data-driven decision-making. Experience in document management and process improvement. Strong communication skills, both written and verbal. Ability to work independently and manage multiple tasks and projects simultaneously. Detail-oriented with a commitment to accuracy and efficiency. PERKS OF JOINING JLM We offer a competitive compensation package as well as benefits including Health Insurance, Vision, Dental, Life, and Paid Time Off! Flexible work from home options available. Compensation: $30.00 - $42.00 per hour JLM is a DBE-accredited agency specializing in finding world-class talent and managing infrastructure project staffing needs. As the industry leader in staffing for architecture, engineering, and construction projects, JLM has 18,500+ pre-vetted, highly-skilled, and available people ready to power your project within 7 days.

Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz , Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities : Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation Develop and maintain analytical models and reproducible pipelines that support full funnel analytics Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk Create executive ready visualizations and dashboards that drive alignment and action among stakeholders Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle Provide recommendations to improve user experience and conversion and overall product performance and track realized impact Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: 5+ yearsas a data scientist or in a similar role with a focus on product analytics High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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. Please note benefits apply to full time employees only.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You’ll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences : Basic Qualifications : Minimum Degree Required : Bachelor Degree Minimum Years of Experience : 4 year(s) Preferred Qualifications : Certification(s) Preferred : Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills : Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlinesThe salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Cartesia Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. About The Role To build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Research Engineer to own the quality and coverage of the data behind our models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale. Your Impact Design and build large-scale datasets for model training, and run controlled modeling experiments to measure their impact on model performance and behavior. Build evaluations of speech models, both via manual annotation and at scale with automated metrics. Implement techniques for steering data generation to improve model intelligence through data and mitigate bias. Build automated quality control systems to validate and filter generated data Partner with product teams to ensure support for key languages and markets. What You Bring Experience building or working with large multilingual datasets Experience with generative models (speech, text, or multimodal). Ability to help guide human annotation and evaluation across multiple languages. Strong applied ML background with a focus on data-centric approaches. Excitement for building scalable systems that bridge research and production. What We Offer 🍽 Lunch, dinner and snacks at the office. 🏥 Fully covered medical, dental, and vision insurance for employees. 🏦 401(k). ✈️ Relocation and immigration support. 🦖 Your own personal Yoshi. Our Culture 🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

About Handshake AI Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired. Handshake AI is a human data labeling business that leverages the scale of the largest early career network.We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts. Now’s a great time to join Handshake. Here’s why: Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide. Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs. World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few. Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more. About the Role We’re looking for a highly motivated Data Scientist with strong SQL expertise to support analytics, measurement, and operational insights across our human data training workflows. You’ll work with messy, fast-moving data tied to expert performance, task quality, throughput, and model outcomes. This is a hands-on role with real ownership, exposure to frontier AI work, and a steep growth curve for people who execute well. What You’ll Do Write advanced SQL to analyze large, complex datasets related to expert performance, task quality, and AI training workflows. Build and maintain core metrics that track data quality, throughput, and operational efficiency. Partner with product, operations, and AI stakeholders to answer high-impact questions. Support experimentation and analysis that improves task design, data quality, and model outcomes. Create dashboards and reporting that drive fast, informed decision-making. Identify data gaps or quality issues and work cross-functionally to resolve them. Take ambiguous problems and drive them to clear, actionable conclusions. Desired Capabilities 3–5 years of professional experience as a Data Scientist , with a strong track record of applying data to drive product or business decisions. Expert-level SQL skills Python experience for data analysis (e.g., pandas, notebooks). Strong analytical instincts and comfort working with imperfect, real-world data. High ownership mindset and willingness to grind through complex problems. Ability to operate independently and deliver under tight timelines. Clear communication and comfort working cross-functionally. Extra Credit Experience with experimentation or metrics-driven development. Exposure to AI/ML workflows, data labeling, or model evaluation. Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness : 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers .

Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One 401K with Employer Match Tuition Reimbursement After One Year of Service Fertility Assistance Program Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Senior Manager, Data Science will be responsible for overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets and executing and participating in the data vision. This role requires an enterprise mindset to build out robust, high-performance technology solutions. The Senior Manager position mixes strong hands-on technical leadership with the management of matrixed resources, and if required, multiple teams, to achieve desired business outcomes. It is expected that this person is as excited about developing code as they are about developing the skills and competencies of the team at large. Duties and Responsibilities, aligned with Key Results: This is a Remote Position Required Skills and Experience: Demonstrated ability to lead and energize teams to exceed goals and consistently make good decisions through a combination of analysis, experience and judgment Command of one or more Machine Learning/Deep Learning frameworks, including Keras, PyTorch, Caffe, Scikit-Learn or Tensorflow. Knowledge of common optimization algorithms and the approaches to tuning and evaluating such algorithms. Knowledge of one or more database platforms, preferably cloud-based. Experience deploying, monitoring, and maintaining data pipelines in production environments Design models of data processing that implement the intended business model Develop diagrams representing key data entities and their relationships Generate a list of components needed to build the designed system People Use a variety of leading-edge AI/ML tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Championing a culture of innovation, encouraging team collaboration and self-organization to deliver high-quality AI/ML solutions. Ensure data implementations align with cutting-edge technological trends and business needs. Work directly with management, product teams and practice personnel to understand and execute on their AI/ML requirements. Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors. Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance Foster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions. Client Leading an agile team to design, develop, test, implement and support highly scalable AI/ML solutions and providing architectural and code-level guidance where required. Ensure solutions are aligned with business objectives and client requirements. Collaborate with product teams and clients to deliver robust cloud-based AI/ML solutions that drive tax decisions and provide powerful experiences! Analyze user feedback and activity and iterate to improve the services and user experience. Value Collaborating with other senior leaders to align cloud data solutions with broader business objectives and to ensure they meet the evolving needs of the organization and its clients. Function as a subject matter expert by staying current on the latest research, experimenting with new technologies, and sharing that knowledge internally. Ensure strict compliance with all information and data security policies, best practices and requirements. Create and implement robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients Perform unit tests and conduct reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded, and effectively tuned for performance. Perform other duties as assigned. Education and Experience: Bachelor’s and/or Master’s degree in a related field. 7+ years of professional experience in data science, machine learning, or applied analytics. Proven experience leading high-performing teams of data scientists, ML engineers, data engineers, or other data and analytics professionals. Hands-on experience designing, building, and deploying enterprise ML solutions to production, including end-to-end model lifecycle ownership (not prototypes only). Strong coding experience in Python (required) with experience overseeing or contributing to solutions written in Java, Scala, or C. Direct experience building cloud-based data and ML solutions using AWS or Azure. Experience designing, deploying, and maintaining production data pipelines. Hands-on experience with at least one ML framework, such as TensorFlow, PyTorch, or Scikit-learn. Strong system and data architecture skills, including the ability to design ML systems, create data models, develop architecture diagrams, and define system components. Experience working in mixed Windows and Linux environments. Computer Skills: To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research. Supervisory Responsibilities: This role will have supervisory responsibilities. Work Environment: Standard indoor working environment. Occasional long periods of sitting while working at computer. Must be able to lift, carry, push or pull up to 30 lbs. Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary. Independent travel requirement: As Needed

We are seeking a Senior Data Scientist specializing in Natural Language Processing (NLP) and modern retrieval-augmented generation (RAG) architectures to join our Life Sciences & Healthcare (LS&H) team. This is an amazing opportunity to work on large-scale AI-enabled solutions that modernize and enhance our content delivery systems. You’ll be at the intersection of innovation, architecture, and real-world AI integration. The team consists of several domain and technical experts and reports to the VP of AI, Content. We would love to speak with you if you have deep expertise across text processing pipelines including indexing, vectorization, prompting, fine-tuning, summarization and context management and bring hands-on experience with frameworks like LangChain and LangGraph. Familiarity with architectures such as VRAG and GraphRAG is highly desirable. About You – Experience, Education, Skills, and Accomplishments Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, or a related field At least 5 years of hands-on experience in data science, focused on natural language processing (NLP) At least 5 years of experience using Python, with expertise in NLP libraries such as LangChain, LangGraph, or other “Lang”-based toolkits Proven experience in model development and applying machine learning techniques to real-world problems It would be great if you also had: Expertise in retrieval-based LLM workflows (RAG, VRAG, GraphRAG) Deep understanding of embedding models, semantic search, and vector stores (e.g., FAISS, Pinecone) Experience with document loaders and text splitters/document splitting strategies Familiarity with MLOps practices and production-level deployment of AI pipelines Experience with cloud platforms (e.g., AWS, Azure, or GCP) Experience applying Graph Neural Networks (GNNs) to retrieval-enhanced generation Knowledge of LangSmith and vector orchestration platforms Familiarity with multilingual NLP and cross-lingual embeddings Exposure to real-time knowledge graphs and stream-based RAG systems A Master’s or PhD in a technical field (Computer Science, Data Science, etc.) What will you be doing in this role? Design NLP Workflows: Develop scalable pipelines for text ingestion, cleaning, normalization, and tokenization to support downstream applications. Implement Indexing and Vectorization Strategies: Architect and maintain robust indexing systems and vector databases for semantic search and retrieval. Develop Prompting and Finetuning Frameworks: Create reusable prompting strategies and lead fine-tuning initiatives for LLMs tailored to business-specific tasks. Build LangChain/LangGraph Applications: Construct dynamic knowledge systems and agentic workflows using LangChain and LangGraph. Integrate Advanced RAG Architectures: Apply VRAG and GraphRAG design patterns to enrich information retrieval and contextual understanding. Conduct Performance Optimization: Perform benchmark testing and model evaluations to improve accuracy, efficiency, and scalability of NLP systems. Collaborate Across Teams: Work closely with engineering, product, and research stakeholders to deliver integrated AI-driven features. Provide Technical Leadership: Mentor junior data scientists, guide best practices, and drive innovation across AI projects. About the Team This role sits within the Life Sciences & Healthcare (LS&H) segment under the Content Technology team. The team is focused on driving innovation through large-scale AI solutions. You’ll work closely with the VP of Content Technology, Solutions Architects, and internal stakeholders who are SMEs and the end users of the platform. This role offers the chance to contribute meaningfully to cutting-edge AI projects that have visibility across leadership teams. The work is focused, impactful, and offers excellent career advancement opportunities in a fast-evolving AI space. Hours of Work Full-time permanent position, primarily working core business hours in your time zone, with flexibility to adjust to various global time zones as needed Fully remote position based in the US but must reside in an EST or CST time zone Compensation - US Only The expected base salary for this position is $117,000 - $147,000 USD per year. This role is eligible for bonus incentive earnings. Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors. In addition to a competitive remuneration package, you will be eligible to participate in a benefits package that includes medical, dental, prescription drug, life insurance, 401k with match, long term disability coverage, vacation, sick time, volunteer time, discount programs, and many more. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. About the Role At Promise, we’re harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI) , you’ll experiment with and apply cutting-edge AI—from traditional ML models to the latest LLMs—to power applications that help families access essential services with dignity. You’ll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application : sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You’ll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise’s work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You’ll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real , measurable impact on people’s lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

Who We Are Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Privacy Counsel to join the Data Privacy RH department. Robert Half is seeking a Data Privacy Counsel that will work with Protiviti and RH (the “Company”) senior management and the Company Global Privacy Office in administering an organization-wide privacy compliance program. Serve as lead North America and South America privacy counsel for the Company responsible for creating, updating, and implementing the Company’s privacy policies for North America and South America and coordinating such policies with the Company’s global privacy program in collaboration with the Company Global Privacy Office, Information Security, Corporate Legal and other stakeholders. What You'll Do Monitor and understand existing and new privacy laws, regulations and other mandates related to the protection, use, collection, sharing and storage of data (including personal), including the impact of such laws, regulations, and mandates on the Company’s businesses. Accountable for researching, knowing and interpreting data privacy laws (including employment privacy laws) in North America and South America. Partner with the Company Global Privacy Office and Corporate Legal Department to assess the impact of changes to laws and regulations in the North America and South America region and to oversee the implementation of legal and regulatory changes to the Company’s processes. Deliver high quality and timely data privacy related advice to internal stakeholders and offer pragmatic actionable guidance and solutions on the application, impact and implementation of applicable local privacy and data protection laws, working collaboratively across multiple teams and jurisdictions. Investigate, identify issues, and make recommendations for resolutions in relation to issues of non-compliance with data privacy and local employment privacy laws and regulations in North America and South America. Provide privacy advice, investigation, and remediation activities in relation to data subject rights, privacy related complaints, and communications with data protection authorities in North America and South America and provide support in relation to these matters in other jurisdictions. Serve on global privacy committees and provide legal and strategic guidance on privacy activities and initiatives for the Company in North America and South America. Counsel and assist with the development, review and resolution of privacy assessments and related ongoing compliance monitoring activities such as DPIAs/PIAs in North America and South America. Counsel and assist with the development and review of internal and external-facing privacy policies and program documents for the company in North America and South America. Participate in the development, implementation, and ongoing compliance monitoring of the Company’s third-party providers to ensure privacy concerns, requirements, and responsibilities are addressed. Ensure that transfer of personal data in and out of the local jurisdiction is compliant with applicable data protection legislation. Counsel and assist with the development, review and resolution of privacy issues that come up during commercial negotiations, helping with security incident response, and advising leaders at the Company on the constantly evolving landscape of risks relating to privacy and data protection in North America and South America. Advance privacy accountability across the organization through effective tools, training, and guidance. Assist and train Company legal colleagues with drafting and negotiating privacy/data protection/security language in the Company’s client and vendor North America and South America agreements. What You'll Need Law degree (preferable with a specialization in Data Protection and/or Data Privacy qualifications) and an admitted lawyer. Privacy or compliance accreditation. CIPP/CIPM or comparable privacy certification desirable. 4+ years of experience as a practicing attorney, in-house and/or at a law firm, including at least 2 years of direct, hands-on experience providing legal counseling on data protection and privacy issues. Experience and expertise with conducting privacy by design reviews. Knowledge of contract principles and requirements under applicable North America and South America laws in connection with privacy. Experience of dealing with one or more of the North America and South America data protection authorities. Limited travel required as needed. Ability to work remotely, be self-organized and self-manage the workload and schedule. Knowledge and experience with several North America and South America privacy regulations. Ability to work under pressure and to effectively manage high volume of work. Strong time management, prioritization, and organization skills. Hardworking, flexible, team player. Knowledge of a second language is desirable. The typical annual salary range for this position is shown below and is negotiable depending upon experience and location. The position is eligible for a discretionary annual bonus. $147,000.00 - $223,000.00 We offer exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental), FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees. Learn more at https://roberthalfbenefits.com . Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran As part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check. Our recruiters use their expertise and may utilize AI to help with their evaluation of candidates. Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to HRSolutions@roberthalf.com or call 1.855.744.6947 for assistance. In your email please include the following: The specific accommodation requested to complete the employment application. The location(s) (city, state) to which you would like to apply. For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing C# codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production C#. - Strong background in building streaming data pipelines using asynchronous streams and reactive programming concepts. - Experience optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

About Baselayer Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer’s B2B risk solutions and identity graph network leverage state and federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses. About the Role We are looking for a Data Engineer to design, build, and operate the data infrastructure that powers Baselayer’s analytics and machine learning capabilities. You will own robust, scalable pipelines that ingest, transform, and validate structured and unstructured data from internal systems and external sources, with a strong focus on reliability, observability, and data quality. This is a hands-on role for someone who thrives in complexity, cares deeply about correctness, and wants to work close to AI and product workflows in a regulated domain. What You’ll Do Design, build, and maintain robust ETL and ELT pipelines that power analytics and machine learning use cases Own and improve the architecture and tooling for storing, processing, and querying large-scale datasets in cloud data platforms Implement orchestration and automation for data workflows using tools such as Airflow, dbt, or similar Build and maintain reusable data models to enable faster experimentation and reliable reporting Implement data quality checks, observability, and alerting to ensure integrity and reliability across environments Partner with Data Science, ML Engineering, Product, and Engineering to ensure reliable data delivery and feature readiness for modeling Optimize warehouse and query performance, scalability, and cost as data volumes grow Maintain clear documentation, runbooks, and operational processes for pipelines and datasets Partner with security and compliance stakeholders to ensure pipelines and access controls meet regulatory and internal standards About You You want to learn fast, take ownership, and build systems that other teams can rely on. You are not just doing this for the win. You are doing it because you have something to prove and want to be great. You care about data integrity and reliability, you enjoy turning messy inputs into clean systems, and you are comfortable operating without a playbook. You are curious about AI and ML infrastructure and want to build the foundation that powers it. Required Experience and Skills 4 to 12 years of experience in data engineering or analytics engineering Strong Python and SQL skills, with experience building production-grade data workflows Experience building and maintaining ETL or ELT pipelines and working with cloud data warehouses or analytics databases Familiarity with orchestration, workflow scheduling, and transformation tooling (for example Airflow, dbt, Dagster, Prefect, or similar) Comfort working with both structured and unstructured data and designing scalable data architectures Strong understanding of data quality, testing, observability, and operational best practices Ability to communicate clearly across technical and non-technical audiences What Sets You Apart Experience working in regulated environments or with sensitive identity, risk, fraud, compliance, or financial services data Experience integrating external data sources and APIs, including government or registry data Familiarity with near-real-time or streaming data patterns Highly feedback-oriented with a desire for continuous improvement Strong bias toward ownership and building systems that scale Work Location Hybrid in SF, in office 3 days per week Compensation and Benefits Salary range of $135,000 to $220,000 Equity package Unlimited vacation Fully paid health insurance, dental, and vision 401(k) with company match

At Lantern , our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. Senior Data & AI Consultant Position Summary We are seeking a Senior Consultant for our Data & AI practice to lead transformative digital initiatives powered by the Microsoft ecosystem. This role is ideal for someone with deep expertise across Microsoft Fabric, Power BI, Azure Synapse, Data Factory, and Dataverse, who can translate complex data challenges into strategic business outcomes. You will architect and implement modern data platforms, guide clients on AI readiness, and mentor teams on leveraging the full Microsoft stack to enable advanced analytics, data governance, and intelligent automation. Position Responsibilities Design and implement enterprise-grade data solutions using Microsoft Fabric, Azure Synapse Analytics, Data Factory, and Power BI, ensuring scalable, secure, and performant architectures. Develop robust ETL/ELT pipelines leveraging Dataflows, Notebooks, and Pipelines within Fabric, enabling unified data ingestion and transformation across diverse data sources. Build semantic data models and design data warehouses, lakes, and lakehouses for analytics, AI, and operational reporting. Deliver end-to-end Power BI solutions, from dataset modeling to DAX optimization and interactive visual storytelling. Provide strategic consulting on data modernization, AI enablement, and governance frameworks (e.g., Purview), aligning technical execution with business goals. Lead and mentor cross-functional teams, promoting best practices in data engineering, solution architecture, and Microsoft platform adoption. Act as a subject matter expert on the Microsoft Cloud Data Platform, staying current with updates across Fabric, Power BI, Synapse, and Azure OpenAI. Qualifications Bachelor’s degree in Computer Science, Data Engineering, or a related discipline. 4+ years hands-on experience with the Microsoft Data & AI stack (Fabric, Power BI, Azure Data Factory, Synapse, SQL, Dataverse). Proven success designing and delivering modern data platforms within Microsoft environments, integrating structured and unstructured data for analytics and AI. Expertise in DAX, Power Query (M), T-SQL, and Python for advanced data modeling and transformation. Familiarity with Fabric’s OneLake, Data Activator, and Copilot integrations for automating data insights. Experience implementing data governance and security via Microsoft Purview and Entra ID (Azure AD). Excellent communication and presentation skills, capable of translating technical concepts for non-technical audiences. Preferred Qualifications Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Power BI Data Analyst Associate Benefits A culture that both wows our customers and employees; Variety of challenging projects, and the ability to work with leading-edge technologies; Competitive salary & group benefits; Generous training and education opportunities; Diverse team social events; Be part of a team that believes in diversity, inclusion, and a fun atmosphere!

Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security. In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our E mployees, to our C ustomers and by Improving P erformance (ECP). It’s what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results—showing we’re ready to meet our customers’ evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. · Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. · Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical). Data Processing (Data management and curation, data description and visualization, workflow and reproducibility). Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) · Devise strategies for extracting meaning and value from large datasets. · Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. · Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to NSA/CSS data holdings · Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. · Effectively communicate complex technical information to non-technical audiences. · Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations. Requirements A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. CLEARANCE REQUIRED: · TS/SCI w/ Polygraph Other Requirements: U.S. Citizenship Compensation Spotlight: For this role, our typical salary range starts at $100,000 and stretches up to $180,000. But here's the deal – we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact. Taking Care of the People Who Take Care of The Nation Compensation : We offer highly competitive compensation that is consistently recognized by our employees as being generous! Health & Retirement : We offer a comprehensive Health Benefits package and 401K Retirement plan so you can take care of yourself and your family... both now and in the future. Other health-related benefits include an employee Gym wellness benefit, People Partners who will help you navigate both personal and professional worlds, as well as strong wellness related resources offered through our healthcare provider. Education : Individual growth is a priority at Synergy ECP. Employees are encouraged to take advantage of our company-sponsored continuing education program so they can get their degree or that next certification needed to propel them towards the next level. Not sure what's best for your career plans, we'll help you navigate it all! Work/Life Balance : A healthy work/life balance is essential for building and executing your work effectively at Synergy ECP, but it’s also necessary to allow you the room to pursue everything you want to develop in your personal life. We offer a generous Paid Time Off benefit and 11 paid holidays a year. Synergy ECP also provides flexible work options that work with your schedule and lifestyle. Philanthropy: With the help of our amazing employees, Synergy ECP participates annually in building awareness, volunteering and contributing to dozens of organizations. We believe that giving back creates a sense of purpose, engagement, and fulfillment. Have a cause you are passionate about? We bet you'll find others here that care about it just as much! Great Corporate Facilities : Come by our corporate office and enjoy a weekly happy hour, take a drive to nearby restaurants, grab a snack or coffee in our café, or utilize our collaborative office space and conference rooms. SkillBridge: Our SkillBridge Program takes the incredible experience our servicemembers already have and shows them how to apply it within corporate environments. We are fanatical about helping our Military! Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you! What you'll Do Develop and implement models to solve complex problems Collaborate with cross-functional teams to determine project requirements and deliverables Use proven methodologies to ensure data accuracy and model reliability Compete in a dynamic environment to successfully implement innovative solutions Analyze and interpret large datasets to provide actionable insights Lead initiatives to improve the performance and scalability of our data platforms What you need to succeed Degree or equivalent experience with 5+ years of practical experience Strong expertise in statistical analysis, machine learning, and data mining Proficiency in programming languages such as Python, R, or Scala Experience with big data technologies like Hadoop, Spark, or Kafka Ability to strictly adhere to deadlines while maintaining high-quality standards Excellent communication skills and a collaborative approach Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

No Sponsorship at this time. JOIN A LEADING HEALTHCARE COMPANY At Curant Health, we are dedicated to providing personalized medication management services to patients with chronic conditions in the home. We provide comprehensive patient management that includes continuity of patient care through dedicated patient care coordinator teams, the provision of SMART patient data and medication adherence assistance. Our client teams complement our partners’ clinical care teams, and our high-quality pharmacy services are URAC- and VIPPS-accredited. Do you want to join a leading healthcare team focused on nurturing long-term patient and caregiver relationships? Do you want to be a part of a company that is committed to hiring the best people and using the best technology and tools to deliver improved health outcomes for patients and partners? If so, take a look at the available career opportunities at Curant Health. Responsibilities : Design and implement ETL pipelines ensuring secure, reliable, and scalable pipelines to transfer data based on business requirements or user stories Estimate and plan development work, track, and report on task progress, and deliver work on schedule Take ownership of projects, driving them from conception to completion Test and debug code to ensure it meets business requirements Document programming tasks and procedures for future reference and troubleshooting. Work closely with the team to understand the requirements and develop solutions that align with the company's objectives. Design, implement, and manage scalable data pipelines and environments using SQL Server SSIS, Azure Data Factory Design and implement Azure DevOps CI/CD pipeline Identify, design, and implement internal process improvements: optimizing data delivery, re-designing infrastructure for scalability etc. Manage, support/create, administration of SharePoint site Qualifications : Bachelor’s or Master’s degree in computer science, engineering or related field Experience with design and implementation of data warehouses Strong understanding of Azure technologies (Azure SQL, ADF, Key Vault, DevOps CI/CD etc.) Minimum of 5 years of experience in handling data processing and implementing ETL pipelines Able to write complex SQL queries, design relational databases Experience in SSIS, C#, ASP.NET, REST API, SharePoint and SharePoint Online and Azure ADF Experience in Agile methodologies is a plus Excellent problem-solving techniques, attention to detail and able to trouble shoot issue in effective manner. Self-motivated and able to work independently with minimum supervision, able to work well with team Excellent in communication Strong analytical and problem-solving skills Why Work for Us? We offer competitive pay, paid holidays, benefits, paid time off and a work/life balance. Not only that, but we also offer paid parental leave, recognition programs, promotion opportunities, a comprehensive training program to enhance your career, and employee prescription discounts. Our Core Values consist of ICARE; Integrity, Communication, Accountability, Relationships and Excellence, and we take pride in you embodying those traits. Curant Health is an equal opportunity employer.

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative, inclusive environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we’re not just building state-of-the-art infrastructure—we’re creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician IV Role: The Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, fire life safety systems, and communications infrastructure. We are currently hiring for the Day Shift Monday - Friday 7:00am-3:00pm Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Communications Infrastructure responsibilities will include IFD / MDF / MMR management, structured cabling and supporting infrastructure ownership, and customer space management. This position will also be directly responsible for the processes that maximize customer uptime in the most cost-effective way by working very closely with the Data Center Manager. Technicians must ensure that data center problems are identified and repaired quickly, contractors deliver quality services, and internal customer demands are met. A Tier IV technician develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Duties: Data center subject matter expert for electrical, mechanical, controls, and fire life safety systems. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Mentoring of junior staff. Work with the site Data Center Manager to track and complete an aggressive preventive and predicative maintenance schedule Work with and provides guidance, to the site Data Center Manager to determine maintenance requirements for mechanical and electrical systems Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT Manage systems to avoid unplanned, customer-impacting outages Manage the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency Provide applied mechanical and integrated control expertise for the entire data center Work as a primary knowledge expert in regard to fire and electrical codes. Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Assist Data Center Manager with the database management of maintenance discrepancies and work with Operations management to resolve site issues based on agreed upon priorities. Trouble Ticket Management Work Order Completion Process Infrastructure projects (Internal/Customer) Cage Build-Outs Overhead Installations Rack and Stack Navigate and utilize a CMMS system. Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Ensures that processes are completed in a timely manner pertaining to Service Level Agreements (SLA) and data is uploaded to the OSS accordingly. Provide physical security within the CoreSite premises. Provide day-to-day exceptional customer service and support. Incident escalation and report writing Monitor the building fire alarm system. Maintain and complete regular facility and security tours documenting and responding to found issues. Adhere to and promote CoreSite’s Principles of Operational Excellence, culture, and 8 Guiding Principles. Requirements Knowledge: Expert understanding of the electrical and mechanical systems used in a facility and data center environment, including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems Expert knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety Expert knowledge of fiber optics / cabling infrastructure and industry best practices. Expert knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations) Expert knowledge and experienced with data trending / tracking and analysis and ability to rapidly learn and use PC based, integrated critical monitoring systems Skills: Minimum of 5-7 years of experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including: Chilled Water Systems, Large Centrifugal Chillers, Cooling Towers, Heat Exchangers, Water Treatment Systems, VFD’s and Pumps, HVAC equipment, CRAC/CRAH’s, Humidification Systems, BMS and PLC Controls, Emergency Standby Diesel Generator Systems, Fuel/Oil systems, 480/277 and 208/120 electrical generation and distribution, Static UPS Systems, and Double Interlock Pre-Action Systems Proven leadership skills Proven expert and laying out, pulling, dressing, and terminating fiber and copper communications cabling. Experience diagnosing and repairing IT hardware, servers, network switches, structured cabling. Excellent communication skills, both written and oral including Microsoft Suite (Word, Excel, PowerPoint, Project). Abilities: Ability to communicate effectively with customers and internal staff. Ability to coordinate, supervise and communicate with contractors who perform maintenance or upgrade work on these systems. Ability to learn quickly and address issues as they arise during normal working hours or after hours. Ability to operate in and promote a rigorous process-driven team environment Ability to logically analyze and solve problems Ability to effectively multi-task multiple projects Operate Hand and Machine Tools (hammer, drill, saw, etc.) Operate electrical tools such as a multi-meter or infrared camera Education/Experience: Bachelor’s degree in Mechanical or Electrical Engineering or equivalent time in rate. 5 or more years in a mechanical/electrical position within critical facilities (preference given to a data center, hospital, or power plant experience) Be able to pass an extensive background check, including criminal history, personal references, employment and education verifications, and Department of Motor Vehicle and credit check. Physical Demands and special requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to stand 1/3 – 2/3 of the time Ability to walk 1/3 – 2/3 of the time Ability to sit 1/3 – 2/3 of the time Ability to climb and balance 1/3 – 2/3 of the time Ability to stoop, kneel, crouch and crawl 1/3 – 2/3 of the time Ability to reach with hands & arms 1/3 – 2/3 of the time Ability to smell, talk & hear Ability to use hands to type, handle & feel Ability to reach with hands and arms Ability to see at close and distance ranges and the ability to see color Must be comfortable working in a high stress, fast paced environment with shifting priorities Must be willing to work outside normal business hours, including weekends, late nights, holidays, and on-call support Ability to lift up to 50 pounds 1/3 of the time Benefits Not only does CoreSite have a fun, team-focused work environment, but we also offer great benefits to all employees regularly scheduled to work more than 20 hours a week! First-day medical insurance through Cigna with generous premium cost coverage Dental insurance through Delta Dental Vision insurance through VSP Telemedicine through MDLive for Cigna Healthcare and dependent care flexible spending account (FSA) plans Health saving account (HSA) plans for employees participating in the High Deductible Health Plan Life, AD&D, short-term disability, and long-term disability insurance fully paid by the company Voluntary coverage benefits for supplemental life, critical illness, accident, and hospital insurance First-day eligibility for 401(k) savings plan through Fidelity, which includes an attractive matching company contribution with a 5% company match Discretionary annual bonus and equity incentive plan Employee stock purchase plan (ESPP) with a 15% discount 16 days of paid time off (PTO), 11 paid company holidays, and additional floating holidays Additional paid time off for school events, elder care, volunteering, bereavement, jury duty, voting, parental leave, and disability leave Free parking or a company contribution toward a public transit pass Additional Perks Wellness Reimbursement Program: Yearly stipend of $500 for employees and $300 for dependents, up to $800 total for the family Wellness Incentive Program: Participate in various wellbeing activities to earn up to $450 per year in cash incentives Technology Stipend: $100 monthly stipend Educational Reimbursement Program: Work-related learning and development with reimbursement on qualifying degree programs, up to $5,250 per year Giving Back: Charitable donation matches up to $5,000 per year and nominate organizations for Company Foundation grants Financial Management: Access to financial coaching, digital tools, and services to manage and pay student loan debt quicker Pet Insurance: Keep your furry friends healthy and happy Family Planning: Benefits and services related to fertility, pregnancy, menopause, adoption and surrogacy Employee Assistance Program: 24x7 service to support family, work, money, health, legal and life challenges Counseling and Caregiving Programs: Including access to mental health services, licensed counselors, and caregiving tools including membership for finding care Referral Bonus: Receive a $3,000 cash bonus if referred candidate is hired and meets eligibility requirements Discounts : Discounts, cash back offers, and perks on thousands of brands LinkedIn Learning Membership: Support your development when accessing LinkedIn’s online library of courses and videos General Statements - Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visas. Please note that all offers of employment are contingent upon the successful completion of a background check and, where permitted by law, a 5-panel drug test conducted after the offer letter is signed, which will screen for THC, opiates, PCP, cocaine, and amphetamines. Thank you for your understanding and cooperation. Applicant Privacy Notice : CoreSite is committed to protecting the privacy and security of personal information submitted by applicants. The California Consumer Privacy Act (CCPA) requires us to provide you information about our personal information handling practices. As a result, we’re providing this Privacy Notice that describes how we collect, use, share, and update personal information from individuals who wish to be considered for employment with CoreSite. To read the Applicant Privacy Notice, please go to https://www.coresite.com/applicant-privacy-notice . Unauthorized reproduction or distribution of this job posting on external sites is prohibited without prior written consent from CoreSite. We are not responsible for any postings or offers not originating from our official channels or approved partners.