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About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position Formation Bio is seeking a hands-on technical leader to shape the future of our Data Curation team. This role is ideal for someone passionate about modeling, harmonizing, and unifying complex biomedical and healthcare data into high-quality, stakeholder-ready assets. You'll lead efforts to transform structured, semi-structured, and unstructured data into trusted, interoperable models that power analytics, product development, and scientific decision-making across the company. This is a high-impact role for a builder who thrives on technical depth, ontology-driven modeling, and architectural leadership. You'll set standards for how Formation Bio integrates healthcare and life sciences ontologies across diverse datasets, and you'll guide the design of the technical stack that enables interoperability, reuse, and long-term usability of curated data assets. You'll partner closely with domain experts in areas like claims, EHR, and biomedical research - ensuring their deep knowledge is translated into consistent, governed, and reusable data products. Responsibilities Technical Leadership & Strategy Define and communicate technical direction for the Data Curation team. Drive the architecture and technical stack for ontology-driven harmonization across healthcare and pharmaceutical datasets. Partner with domain experts (claims, EHR, pharma, research) to align technical standards across diverse datasets. Mentor engineers in best practices for modeling, ontology integration, and scalable curation workflows. Data Modeling, Ontology-Driven Harmonization & Unstructured Integration Lead development of robust SQL/dbt models that unify complex healthcare and pharma datasets. Apply healthcare and biomedical ontologies (e.g., SNOMED, RxNorm, UMLS, Mondo, OMOP, FHIR) to ensure interoperability and consistent integration. Design scalable workflows for ontology alignment, normalization, and harmonized data product creation. Lead integration of unstructured data sources (clinical notes, publications, documents, scientific text) using NER, NLP, embeddings, and document parsing. Define patterns for linking structured and unstructured assets into a unified semantic layer that is easy to query, search, and consume. Establish standards for vector database usage and semantic search, ensuring embeddings and structured models are connected and interoperable. Knowledge Integration & Architecture Establish architectural patterns for managing ontology mappings, ontology-driven transformations, and harmonized knowledge assets. Define how graph-based and relational representations complement each other for interoperability. Collaborate with the Data Infrastructure team to align ingestion, orchestration, and governance frameworks with curation needs. Data Quality & Catalog Stewardship Enforce structural and semantic quality standards with automated checks and validation. Maintain and enrich the enterprise data catalog, ensuring curated datasets - structured and unstructured - are discoverable and well-documented. Capture and codify domain-specific knowledge into durable, governed data assets. About You 7+ years of experience in data engineering, semantic modeling, or data curation, with leadership experience in technical direction. Proven expertise in SQL/dbt modeling and integrating healthcare and biomedical ontologies. Hands-on experience with ontology-driven harmonization and data model integration across heterogeneous datasets. Strong background in data architecture and stack design, with the ability to define standards and paved paths. Experience working with unstructured data: entity extraction (NER), NLP, embeddings, or document parsing. Familiarity with vector databases, semantic search, and knowledge graph concepts - and how to connect these with structured datasets for unified consumption. Comfortable with Python, orchestration tools (Dagster, Airflow), and working with diverse data types. Skilled at collaborating with infrastructure teams to balance semantic integration with scalable foundational tooling. Excited to mentor others, set high standards, and drive alignment across a multidisciplinary team. Bonus points if you have: Experience with knowledge graph technologies (e.g., Neo4j, RDF/SPARQL, Cypher). Experience with healthcare and life sciences ontologies such as Mondo, OMOP, FHIR, SNOMED, RxNorm, UMLS. Experience harmonizing datasets from EHR, claims, or biomedical research domains. Contributions to enterprise data catalogs or metadata management frameworks. Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation: The target salary range for this role is: $220,000 - $280,000. Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #LI-hybrid

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization. RESPONSIBILITIES Analyze large datasets to identify trends, insights, and opportunities that drive business growth. Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions. Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies. Provide actionable insights to leadership on business performance, customer behavior, and operational trends. Ensure data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and contribute to a data-driven culture within the company. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience with data visualization tools such as Tableau, Looker, or Power BI. Expertise in business intelligence, forecasting, and performance analytics. Familiarity with machine learning techniques and predictive analytics is a plus. Strong understanding of A/B testing, customer segmentation, and retention strategies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

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

🚀 Join the Future of Commerce with Whatnot!  Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our  values . With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together. From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the  fastest growing marketplaces , we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our  news  and  engineering  blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role  The Data Security Engineer is responsible for developing and overseeing technology security systems to help protect those systems and associated ones from the effects of various kinds of cybercrime. Advance our customers' access to our applications and services by offering seamless access control mechanisms, advanced authentication methods, progressive profiling, and a consolidated identity. Developing plans for increased security across the systems. Putting various protections into place. Testing and re-testing systems for known vulnerabilities. Monitoring systems for security breaches. Investigating those breaches and any other anomalies. Design and implement scalable data protection solutions (e.g., encryption, tokenization, DLP, data masking) for structured and unstructured data. Support and enforce data classification, labeling, and handling policies aligned with regulatory and business needs (e.g., PCI-DSS, GDPR, CCPA). Manage data loss prevention (DLP) systems and drive incident response for data exfiltration or unauthorized access events. Integrate data security controls into CI/CD pipelines and DevSecOps frameworks. Perform risk assessments and threat modeling for data-related systems and flows. Collaborate with Infrastructure, Cloud, and AppSec teams to secure data at rest, in transit, and in use across diverse environments. Monitor emerging data security threats and recommend technical and procedural controls to mitigate risk. Partner with Compliance and Legal teams to ensure audit readiness and support data privacy initiatives. Maintain detailed documentation of data security architecture, standards, and controls. US Based: Team members in this role are required to be within commuting distance of our San Francisco hub. 👋 You  Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our Data Security Engineer you should have a minimum of 7+ years of relevant experience in security preferably in a large enterprise environment, plus: Bachelor’s degree in Computer Science, computer engineering, cybersecurity, a related field, or equivalent work experience. 7+ years of experience in cybersecurity, with at least 2 years focused specifically on data security. Hands-on experience with one or more of the following: DLP platforms, encryption and key management, CASB, and data tokenization/masking tools. Strong understanding of data privacy regulations and standards (e.g., GDPR, CCPA, SOX, NIST). Familiarity with cloud platforms (AWS, GCP) and securing cloud-based data stores (e.g., S3, RDS, Snowflake). Ability to write and review secure infrastructure-as-code (e.g., Terraform, CloudFormation) and scripting (e.g., Python, Bash). Excellent communication skills with the ability to translate technical risks into business language. Self-motivated and creative problem-solver able to work independently with minimal guidance. Strong ability to work collaboratively across teams during high-stress situations. Ability to manage multiple competing priorities and use good judgment to establish an order of priorities on the fly. 💰Compensation $215,000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits  Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) Health Insurance options including Medical, Dental, Vision Work From Home Support Home office setup allowance Monthly allowance for cell phone and internet Care benefits Monthly allowance for wellness Annual allowance towards Childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally Monthly allowance to dogfood the app All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE  Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune and Dubai. The Role A Portfolio Data Consultant (Portfolio Performance Analyst) leads the end-to-end data validation process with clients for data conversion projects. The ideal candidate will have a strong understanding of financial portfolio data, a motivation to work on data problems, outstanding communication skills, and the ability to deliver results in adherence to project deadlines while meeting high-quality standards. They are passionate about understanding our client's needs, taking a hands-on approach to solving problems, working collaboratively with internal teams, and taking ownership of our client's success. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $80,000 - $100,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. What You’ll Do Lead the data validation process end-to-end with the client and internal projects teams Hold recurring training and working sessions with the clients throughout the data validation project until completion Support clients with researching and identifying portfolio data performance discrepancies and make recommendations on how to best fix the data issues Review, compare, and document system calculation methodologies differences Coordinate across project teams, communicating regular status updates for assigned data projects and while effectively setting expectations Raise key issues to project team members and senior leadership Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line Identify and drive opportunities to improve current processes, workflows, and tools to increase efficiency and automation Who You Are B.S in Finance, Mathematics, Statistics, Business or Economics 2+ years experience working in Finance and Technology Understands financial markets and has experience with financial products and portfolio data Positive attitude, strong work ethic, proactive and a high contributing teammate Independent, adaptable, and can thrive in a fast-paced environment Excellent communication, organizational, and time-management skills Experience programming in Python language is a plus Our Values  Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value.  Champion Our Clients - Exceed client expectations. Our clients’ success is our success.  Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.  Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.  In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com .

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: As an Analyst or Data Scientist, you will be one of Enova's most valuable team members. You will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. Enova's Analytics team consists of over 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value. We are a shared service for the entire company and operate in four core Analytics workgroups. We are language agnostic, but primarily use Python, R, SQL, SAS and Mathematica. That means YOU get to pick the tool that works best for you and the analysis at hand. At Enova we have a company-wide culture that emphasizes data-driven analysis. That means you spend less time presenting and more time with the fun part, crunching data! Requirements: 3+ years of experience in Analytics or related field Advanced programming skills and the ability to write customized programs for meaningful data analysis (Python, R) Experience working with relational databases, such as SQL Knowledge of statistical/econometric modeling A Bachelor's degree in a quantitative field or equivalent experience Compensation: The budgeted annual salary range for this position is   $87,400 to $109,200 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . #BI-Hybrid #LI-Hybrid #BI-Hybrid #LI-Hybrd Benefits & Perks: Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.   Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here .  It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We are seeking a talented Senior Data Scientist to join our Portfolio Analytics team. In this role, you will develop, enhance and test our models for use in determining the appropriate lending criteria and verification procedures. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation. Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business. Key responsibilities: Develop and refine proprietary models to assess customer credit profile Design and implement A/B testing frameworks to evaluate the performance of our models, analyzing outcomes to drive continuous improvement Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies Requirements : Degree in Statistics, Mathematics, Economics, Computer Science, or a related field 4+ years of experience in Data Science, Analytics or related field Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python) Experience working with relational databases, such as SQL Excellent knowledge in applied statistical methods and machine learning models Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment Experience in financial services, fintech, or a related industry preferred Compensation: The budgeted annual salary range for this position is$96,000 to $125,000 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

Who is Trace3 ? Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate. Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it! Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.   Ready to discover the possibilities that live in technology?   Come Join Us! Street-Smart   -  Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems. Juice -  The “Stuff” it takes to be a Needle Mover We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like. Teamwork -  Humble, Hungry and Smart We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.   JOB SUMMARY: Trace3 is seeking a highly skilled Data/Business Intelligence Solution Architect to join our Data & Analytics Solutions practice. This senior-level, client-facing role will act as a trusted advisor and technical leader, guiding clients in the design, implementation, and optimization of modern business intelligence and observability solutions. With a deep focus on platforms such as Splunk, IT Service Intelligence (ITSI), and User Experience Monitoring (UEM), you will drive the development of scalable data architectures that support advanced analytics, service performance visibility, and operational intelligence. You will collaborate closely with clients, account teams, and delivery engineers to translate business goals into data-driven solutions that enhance IT operations, digital experience, and decision-making capabilities. This role combines pre-sales expertise with post-sales architecture guidance to ensure consistent, measurable value delivery from concept through execution.   SUMMARY OF ESSENTIAL JOB FUNCTIONS: Partner with Sales and Account Management teams to identify and pursue data-focused client opportunities. Lead client discovery sessions to understand business and operational goals and translate them into data architecture and analytics solutions. Design and architect end-to-end Business Intelligence and IT observability solutions leveraging platforms such as: Splunk (Core, Enterprise Security, and ITSI) User Experience Monitoring tools (e.g., Catchpoint, AppDynamics, Dynatrace) Cloud-native observability and monitoring platforms (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite) Support pre-sales initiatives including architectural design sessions, proof-of-concepts, RFP responses, and solution demos. Architect integrations that unify logs, metrics, and traces into centralized observability dashboards and alerting frameworks. Deliver performance analytics, business insights, and data visualizations tailored for IT and business stakeholders. Provide architectural guidance on data ingestion, normalization, correlation, and enrichment strategies. Support clients in implementing KPIs, service health scores, and predictive analytics using platforms such as Splunk ITSI. Ensure alignment between data architectures and broader digital transformation, IT operations, and cloud strategies. Serve as a technical mentor and coach for junior engineers and consultants on the Data & Analytics team.   REQUIRED SKILLS AND EXPERIENCE: Bachelor’s degree from an accredited university or equivalent experience in Computer Science, Engineering, Information Systems, or related field. 8+ years of experience in data architecture, business intelligence, or IT operations analytics, including at least 3 years in a client-facing solution architecture role. Strong expertise in Splunk architecture, including ITSI and Enterprise Security modules. Experience designing observability solutions that incorporate User Experience Monitoring, synthetic testing, and real user monitoring. Strong grasp of event correlation, anomaly detection, and machine learning applications in monitoring environments. Proven ability to translate business requirements into scalable, data-driven architectures. Familiarity with cloud-native data services (AWS, Azure, GCP) and hybrid infrastructure monitoring. Strong presentation and communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Experience working with enterprise clients and navigating complex organizational environments. Excellent time management, organization, and multitasking skills in a fast-paced consulting environment. Passion for emerging technologies and continuous improvement in data observability, automation, and business insight delivery. Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary. Estimated Pay Range $160,000 — $190,000 USD The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Stocked kitchen with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off   Our Commitment At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do. We’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture. As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law. Any demographic information provided is strictly voluntary, kept confidential in accordance with Equal Employment Opportunity (EEO) regulations, and will not be used in employment decisions, including hiring, promotions, or mentorship programs. We are committed to providing equal employment opportunities for all. If you require a reasonable accommodation to complete the application process or participate in an interview, please email  recruiting@trace3.com .   ***To all recruitment agencies:  Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences. Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds. Game-changers, innovators, culture-lovers—and humankind. We invite discovery and debate. We recognize key moments as milestones. We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference. Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise!     General Summary: ConnectWise is seeking an exceptional leader to oversee our enterprise data ecosystem and drive the next generation of data-driven decision making. The Director of Data Services & Analytics will own the end-to-end data lifecycle — from infrastructure and pipelines to advanced analytics, financial modeling, and AI/ML initiatives. This leader will shape how ConnectWise leverages data to guide strategic priorities, enable SaaS metric-driven insights, and transform business cases into scalable execution. The ideal candidate is a proven data visionary who combines technical depth with business acumen,and thrives in a fast-paced SaaS environment. Essential Duties and Responsibilities: Data Ecosystem Ownership   Lead the architecture, development, and governance of ConnectWise’s enterprise data warehouse, pipelines, integrations, and analytics platforms.   Ensure a modern, scalable data infrastructure with Snowflake at its core, supported by best-in-class tools (dbt, Airflow, Fivetran, ADF).   Oversee system performance, data quality, and reliability for critical business operations.   Advanced Analytics & AI/ML   Build and operationalize AI/ML models that improve forecasting, customer insights, partner retention, and operational efficiency.   Partner with Finance, Product, and Operations to deploy predictive and prescriptive analytics that drive measurable impact.   Stay at the forefront of emerging tools such as Google Vertex AI, Azure ML, or Palantir Foundry to expand capabilities.   Business Alignment & SaaS Metrics   Connect strategic business cases to data execution — translating executive priorities into measurable data initiatives.   Build financial and operational models tied to SaaS KPIs (GRR, NRR, LTV/CAC, churn analysis, pricing elasticity).   Partner with FP&A and Corporate Strategy to ensure insights directly support growth, profitability, and long-term value creation.   Leadership & Influence   Build, mentor, and scale a high-performing team of data engineers, analysts, and data scientists.   Act as the executive thought partner for data strategy, influencing the ELT and board-level discussions with fact-based insights.   Establish data as a competitive advantage and cultural foundation across the company.   Knowledge, Skills, and/or Abilities Required: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor’s degree in Computer Science, Engineering, Finance, or related field; advanced degree preferred.   10+ years of progressive experience in data, analytics, or related functions, with at least 5 years in SaaS or technology businesses.   Deep expertise in Snowflake, SQL, Power BI, and dbt.   Strong knowledge of Airflow and other modern orchestration tools; experience with ML platforms (Vertex AI, Azure, Palantir Foundry) preferred.   Demonstrated success building and scaling enterprise-grade data platforms that integrate multiple data sources (ERP, CRM, billing, product telemetry, etc.) into a single source of truth.   Hands-on experience designing and optimizing data models for both financial analysis and SaaS operational metrics.   Proven track record implementing AI/ML models that deliver measurable business outcomes (e.g., churn prediction, pricing optimization, forecasting).   Strong grounding in SaaS business models and metrics; ability to translate between technical execution and strategic financial impact.   Excellent leadership, communication, and storytelling skills — able to distill technical complexity into actionable insights for executives and non-technical stakeholders.   Executive presence with the ability to influence at all levels, from technical teams to board-level discussions.   ConnectWise is an Equal Opportunity Employer, dedicated to building a diverse and inclusive workforce and providing a workplace free from discrimination and harassment. ConnectWise provides equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, religion, age, sex (including pregnancy), sexual orientation, gender, gender identity or expression, ancestry, national origin, citizenship status, physical or mental disability, genetic information, military/veteran status, marital status, familial or parental status, or any other characteristic or status protected by applicable federal, state and local laws. The statements above are intended to describe the general nature and level of work being performed by individuals assigned to this job. Other duties may be assigned as needed. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job and/or to receive other benefits and privileges of employment. If you need a reasonable accommodation for any part of the application and hiring process, please contact us at talentacquisition@connectwise.com or 1-800-671-6898.

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences. Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds. Game-changers, innovators, culture-lovers—and humankind. We invite discovery and debate. We recognize key moments as milestones. We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference. Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise! Marketing Data Analyst General Summary: The Marketing Data Analyst is responsible for analyzing, defining, generating, and communicating the metrics that are the foundation to our marketing objectives. This role works in partnership with the Global Campaigns and Digital team(s) to increase the effectiveness of global marketing operations. Essential Duties and Responsibilities: Provides cross-functional support, with a high attention to detail while defining and measuring KPIs, key marketing, web, and demand generation metrics Researches, analyzes, and documents findings May influence others within the Marketing team through the explanation of facts, policies, and practices Builds, communicates, and maintains a suite of dashboards, BI applications, standardized and native reports Collects and organizes information required to run campaigns from the backend/reporting KPIs view ensuring quality data, attribution, and conversion rates Supports end to end view of marketing performance Regular analysis of campaign data to identify patterns that lead to higher conversion rates, average deal size, and increased velocity Supports the team cross-functionally with special projects around data quality, data enrichment, and data analysis Serves as subject matter expert to the marketing team on data trends innovation and trends that affect our partners Knowledge, Skills, and/or Abilities Required: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Works independently on projects and processes with general supervision Possesses a practical knowledge of Marketing strategies Has ability to situationally adapt and understand new technology/processes as per department requirement Strong experience with applied data querying languages, BI/visualization tools Ability to manage data on a tactical basis, while also delivering strategic insights and direction Educational/Vocational/Previous Experience Recommendations: Bachelor’s degree required in related field or equivalent business experience 2+ years of experience Preferred: Experience with data management for B2B marketing or sales team Preferred: Experience with Marketo, Salesforce, PowerBI, SQL Working Conditions: Remote or hybrid depending on location 0-10% travel may be required ConnectWise is an Equal Opportunity Employer, dedicated to building a diverse and inclusive workforce and providing a workplace free from discrimination and harassment. ConnectWise provides equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, religion, age, sex (including pregnancy), sexual orientation, gender, gender identity or expression, ancestry, national origin, citizenship status, physical or mental disability, genetic information, military/veteran status, marital status, familial or parental status, or any other characteristic or status protected by applicable federal, state and local laws. The statements above are intended to describe the general nature and level of work being performed by individuals assigned to this job. Other duties may be assigned as needed. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job and/or to receive other benefits and privileges of employment. If you need a reasonable accommodation for any part of the application and hiring process, please contact us at talentacquisition@connectwise.com or 1-800-671-6898.

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. An active Top Secret/SCI clearance is required prior to consideration for this role. Work is 100% onsite.  Work may be performed in either Springfield, VA or St. Louis, MO A Cybersecurity Data Analysis Specialist is part of a team of skilled Cybersecurity professionals that support the design, build, and sustainment of the organizations Enterprise Audit capability.  Cybersecurity Data Analysis Specialist interact daily with a wide variety of industry leading audit technologies including, but not limited to, enterprise Security Information Events Management capability, long-term analytics platform, and log aggregation platform.  Cybersecurity Data Analysis Specialist provide support to fellow stakeholders when on-boarding new and existing Information Technology resources into the organizations Enterprise Audit capability and maintain all production Enterprise Audit solutions that are servicing the organization.  When required, Cybersecurity Data Analysis Specialist support fellow stakeholders in resolving operational audit issues.   You'll Bring These Qualifications: Strong understanding of Elastic SIEM and security technologies Related technical experience in security technologies such as Splunk, ArcSight and/or Kibana  TS/SCI Clearance (MUST have at least a TOP SECRET for consideration) DOD 8570 IAT Level II certification. (security+ minimum to start) A Counterintelligence Polygraph is preferred; candidates will be required to pass a CI polygraph within 3 months of starting We use Greenhouse Software as our applicant tracking system and Zoom Scheduler for HR screen request scheduling. At times, your email may block our communication with you. Please be sure to check your SPAM folder so that you don't miss updates on your application. Why GuidePoint? GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. Since its inception in 2011, GuidePoint has grown to over 1000 employees, established strategic partnerships with leading security vendors, and serves as a trusted advisor to more than 4,200 customers. Firmly-defined core values drive all aspects of the business, which have been paramount to the company’s success and establishment of an enjoyable workplace atmosphere. At GuidePoint, your colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity.   This is a unique and rare opportunity to grow your career along with one of the fastest growing companies in the nation. Some added perks…. Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions) Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family) and GPS will contribute in one lump sum: ($500 per EE annually / $1000 per family annually (includes spouse/children/family options) Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans 12 corporate holidays and a Flexible Time Off (FTO) program Healthy mobile phone and home internet allowance Eligibility for retirement plan after 2 months at open enrollment Pet Benefit Option  

Sensor Tower is seeking a Data Analytics Engineer to join our Innovation and Strategy team as it continues to grow and deliver cutting-edge market intelligence solutions to our most valued clients. Reporting directly to the Director of Innovation and Strategy, this role offers a unique opportunity for someone with hands-on experience in data analytics and consulting. You will collaborate directly with customers and engineers to develop and implement innovative market data solutions, contributing to Sensor Tower's leadership in the industry. Base Salary: $115,000 - $130,000 Hybrid: This role requires three days in the office and allows two days of remote work. What the Data Analytics Engineer will do: Entrepreneurial Innovation & Data Utilization: Leverage your hands-on experience with data to explore and define innovative solutions, developing new use-cases for data assets that scale to create strategic opportunities. Data-Driven Storytelling: Employ strong analytical and storytelling skills to transform complex data into compelling narratives that communicate insights and persuade stakeholders both internally and externally. Cross-Functional Collaboration: Work closely with sales, engineering, and customers to develop and implement comprehensive solutions, ensuring strategic alignment and integration. Client Management: Build and maintain strong relationships with key clients, including Fortune 500 companies, ensuring their success through strategic insights and tailored solutions. Sales & Strategic Support: Partner with the Sales Team to support business development efforts, articulating the strategic impact of our solutions and aiding in the proposal process. Skills and experience the candidate can bring: Data Proficiency: Proven ability to manage and analyze large datasets independently, developing innovative solutions and actionable insights. Expertise in data analysis and visualization tools (SQL, Python, Excel, Tableau, Power BI). Strategic Thinking: Demonstrated track record of identifying, scaling, and creating new data use-cases that drive significant business value. An entrepreneurial approach to developing strategic opportunities. Communication and Collaboration: Ability to transform complex data into compelling narratives for diverse stakeholders. Experience in cross-functional collaboration with sales, engineering, and client teams to implement integrated solutions. Client Relations: Proven experience in building and maintaining strategic relationships with high-profile clients, including Fortune 500 companies, focusing on client success and satisfaction. Nice to have: Hands-on experience with data-driven project management and analysis. Relevant professional experience in Data Science, Business Analysis, Strategy

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments, and own complex analysis to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. The Impact You’ll Make As a Data Scientist on the Notifications team, you will partner with Analytics Engineers to execute CP data foundation roadmaps, collaborate with our cross-functional teams to develop and execute key ecosystem roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team. We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights. Successful candidates will exhibit technical acumen, product sense and business savviness and be enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. Your responsibilities will include: Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team Build scalable metrics and dashboards to inform product strategy Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises Build in-person relationships with team members and contribute to Nextdoor’s company culture What You’ll Bring To The Team 7+ years of data science and product analytics experience BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc. Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python Experience in designing trustworthy experimentation and analyzing complex product a/b testing results Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports Experience developing and executing on key ecosystems, understanding roadmaps, and building new capabilities (e.g., customer segment framework) Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives and compile compelling narratives Ability to solve ambiguous business problems with structured analytics framework Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for San Francisco, CA area is expected to range from $175,000 to $270,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here .

About AccuWeather AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast’s Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs. . Position Summary In this role as a Data Engineer II , you will directly impact AccuWeather’s continued focus on innovation and generating superior weather products. You will play a critical role in building and maintaining our data infrastructure, enabling efficient data processing, analysis, and reporting. You will work closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure our data pipelines and platforms' availability, reliability, and performance. Your expertise in Databricks will be essential in optimizing data workflows, ensuring data quality, and contributing to the continuous improvement of our data engineering practices. We are open to hiring candidates to work from our global headquarters in State College, PA, USA, or remotely. Key Responsibilities Develop Data Pipelines: Design, develop, and maintain scalable and moderately complex data pipelines using Databricks, Spark, and related technologies. Data Processing Optimization: Optimize data workflows to build performant, reliable, and efficient data solutions. Collaboration Excellence: Contribute positively to a highly collaborative work environment by working closely with cross-functional teams, including data scientists, analysts, and software engineers. In this role, you’ll be responsible for understanding requirements and implementing robust solutions that meet their needs. Additionally, you’ll collaborate with other data engineers to ensure the smooth deployment and operation of data solutions. Monitoring and Troubleshooting: Monitor, troubleshoot, and resolve issues related to data pipelines and platform performance. Implement Best Practices: Implement best practices for data modeling, ETL processes, and data ingestion, and enhance data engineering practices. Stay current with industry trends and advancements in data engineering, Databricks, and related technologies. Documentation: Create and maintain detailed documentation of data solutions for knowledge sharing and future reference. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2-4 years of experience as a Data Engineer, with a strong focus on Databricks, Spark, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Expertise in designing, developing, and optimizing complex ETL processes and data pipelines. Proficiency in programming languages like Python, Scala, or Java. Solid understanding of data modeling, data warehousing, and data integration concepts. Familiarity with DevOps practices and tools for CI/CD and infrastructure automation. Strong problem-solving skills and ability to troubleshoot and resolve complex technical issues. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. Experience with big data technologies, real-time data processing, and machine learning pipelines is a plus. Familiarity with weather data is a plus Relevant certifications in Databricks, Spark, or cloud platforms are a strong advantage. Why Join Us Are you passionate about working with data? Are you eager to solve challenging problems and deliver innovative solutions? Do you enjoy using the latest technology in data engineering? Then, we’d love to have you join our team. We are a passionate data team that embraces tackling some of the weather industry’s most challenging problems. Our ideal candidate thrives in a deeply collaborative, innovative, and fast-paced environment where you can transform your passion for data into building meaningful solutions that contribute to our mission of saving lives, protecting property, and helping people and business prosper. Successful candidates will have opportunities to advance their careers and grow as a data engineer. Join us in our journey to shape the future of data engineering and industry innovation. AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here . The pay transparency policy is available here . AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.

POSITION SUMMARY The Data Analyst– Forecast Performance & Competitive Insights will play a key role in advancing AccuWeather’s leadership in forecast accuracy as well as project management. This position will support the Forecasting Operations team by comparing AccuWeather forecasts against those of other sources, identifying trends and deviations, and delivering insights that drive operational improvement and business differentiation. They will collaborate with meteorologists, data scientists, and leadership to rigorously evaluate forecast outcomes and support strategic initiatives across the organization. In addition, there will be project management responsibilities at times working toward improving our products and forecasts. This is a Part-time or Internship position. Must be willing to work on Saturday and Sunday, sometimes in the evening, to ensure needed data is captured and properly verified and reported on in a timely manner. There will be times when the candidate is asked to help during the week for vacation or sickness coverage. There is also the possibility that the position grows into opportunities for additional routine hours during the week. KEY RESPONSIBILITIES Collect, normalize, and analyze forecast data from AccuWeather and other sources across various geographies and timeframes. Develop and maintain metrics dashboards and automated reporting that reflect forecast accuracy, bias, timeliness, and reliability. Work with team members and Manager, Forecasting Technology on firm process and tools to complete tasks and report Produce actionable insights that inform continuous improvement of AccuWeather’s operational forecasts. Develop them into Proof of Performance documents that showcase AccuWeather’s Superior Accuracy™ Assist in the design and refinement of forecast evaluation tools, including visualization interfaces and comparative analytics. Support internal and external communication of AccuWeather’s forecast superiority using data-driven evidence. Working with the Sr. Director, Strategic Projects, assist with project management and specification writing on an as-needed basis. Work mainly on weekends but also asked at times to fill in during the week for vacation and sickness situations. QUALIFICATIONS Working towards or have a Bachelor’s degree in Data Science, Meteorology, Statistics, Computer Science, or related field. 2+ years of experience in data analysis, preferably involving large-scale, time-series or geospatial data a plus. Proficiency in Python, R, or SQL; experience with tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Plotly, Tableau). Understanding weather data formats and forecast models is highly desirable. Strong analytical thinking and communication skills—able to translate complex data into actionable insights. Attention to detail and commitment to data integrity and accuracy. Ability to work independently and collaboratively in a fast-paced, mission-driven environment. Ability to multi-task while staying detail oriented Strong communication skills, verbally and in writing, and ability to maintain a style, format, and philosophy as set forth by AccuWeather. ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather’s proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW® reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast’s Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk! What we do: The Data Partnerships team is a high-impact team that focuses on driving one of TTD’s strategic initiatives – Ecosystem partnerships. This team manages partnerships with some of the most dynamic data and technology providers and is responsible for overseeing the approval, integration, and implementation processes.  Our responsibilities are focused on driving both executional and operational excellence through establishing internal processes and external partner relationship management .   The ideal candidate must enjoy an entrepreneurial and rapidly shifting environment.  We are looking for someone who thrives on having a significant impact and supporting highly visible and strategic capabilities through partnerships and innovation.     What you'll do:   Own the end-to-end lifecycle of new ecosystem partnerships, from inquiry to approval and paperwork execution  Build a system to manage the pipeline of new vendor inquiries, synthesizing information about vendors and their use cases that can be used by internal teams.  Partner closely with technical account management to maintain a centralized directory of ecosystem vendors Establish clear processes for vetting new partnerships and rolling out updates to existing vendors  Lead the execution of third-party vendor approvals that power our extensibility ecosystem, ensuring they are aligned with our long-term platform strategy and compliance standards Serve as the primary point of contact for most vendors in the ecosystem, working with leadership to stay on top of new vendor developments  Interface with client teams to understand client demands and vendor data applications    Who you are:   Approximately 1-2 years of experience creating and building differentiated relationships with clients and/or partners   Excellent judgement & acute sense of self-awareness   Highly organized, effective time management skills, ability to prioritize and meet deadlines   Self-motivated problem-solver comfortable navigating complex technical processes and a broad range of client needs and requirements   Proven communication, questioning, and listening skills in formal and informal settings  Ability to build excellent rapport with cross-functional teams (i.e. Client Services, Legal, Technical Account Management, Finance, Product, Strategy, Business Development)   Comfortable with fast-paced, dynamic working environment with shifting priorities   Has a growth-oriented mindset  Excellent problem-solving and analytical skills with an operational mindset  Proficiency in Excel and PowerPoint  Strong verbal and written communications skills  New-York based    The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year.  Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.  The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $64,100 — $117,500 USD As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at   accommodations@thetradedesk.com You can also contact us using the same email address if you have a disability and need assistance to access our Company website.   When contacting us, please provide your contact information and specify the nature of your accessibility issue.  

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO We’re looking for a Product Manager to join us! This is an exciting opportunity to get in on the ground floor building an advanced ML B2B product which addresses a >$10B pain point for lifecycle marketers. This PM with focus on increasing the quality and quantity of data integrations that allow us to run our models on a variety of platforms and channels.  You will own product strategy, feature prioritization, roadmap and execution for our AI Decisioning Engine. In particular, you will: Engage with our customers directly to learn and gather feedback Develop prioritized feature product roadmaps Own cross-functional execution of the roadmap, working with various stakeholders across UI/UX, Frontend and Backend Engineering, Customer Success and Implementation teams WHO YOU ARE: Builder: you love building products that users love and obsess over the tiniest details to deliver a delightful customer experience Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes Structured and organized: you can structure a plan, align stakeholders, and see it through to execution Clear communicator: you are able to express yourself clearly and persuasively, both in writing and verbally Somewhat technical: you are familiar enough with software to be able to analyze data schema for gaps that need to be bridged Up to 10-15% availability for travel for team offsite workshops, customer meetings, and industry-related events For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $100,800 and $193,050/year with an expected On Target Earnings (OTE) between $112,700 and $214,500/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. #LI-Hybrid WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching  Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. Braze is proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In’s Best Places to Work. In 2024, we were included in U.S. News & World Report’s Best Companies to Work For (Top 10%) and recognized in Great Place to Work’s Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women. Additionally, we were featured in Great Place to Work UK’s Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology. You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, São Paulo, Seoul, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. As a Data Scientist on the Risk Solutions team, you'll be at the forefront of a mission that directly impacts driver and rider safety. We are a team dedicated to using data to build a safer platform for our users. You will partner with product and engineering teams to design and implement experiments, and turn data-driven insights into products that make a tangible difference. If you are passionate about applying your data science skills to solve complex, high-impact problems, this role offers a unique opportunity to directly influence the safety of our community. Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action Construct and fit statistical, machine learning, or optimization models Design and analyze online experiments; communicate results and act on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, the business, as well as the driver experience Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 3+ years of industry experience in a data science, analytics, or management consulting role. End-to-end experience with data, including querying, aggregation, analysis, and visualization Ability to manage, influence, negotiate, and inspire others in a fast-moving environment Proficiency in SQL and Python Strong oral and written communication skills, and ability to collaborate with cross-functional partners Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

OVERVIEW Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance. Project Details Job Title: Data Analyst Location: Seattle (On-site) Hours: Full-time, 40 hours per week Start Date: October 2025 Employment Type: W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time). This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions. Key Responsibilities Test new AI products and provide actionable feedback to improve functionality and user experience. Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. Collaborate in updating and refining machine learning models to boost accuracy and effectiveness. Analyze data for consistency, relevancy, and alignment with project goals. Perform quality control to identify and report anomalies, error patterns, and discrepancies. Use basic data analysis methods to extract insights and support continuous improvement. Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback. Preferred Qualifications University degree in linguistics, translation, or a related field. 3-5 years of professional linguistics experience. Strong analytical skills with the ability to detect patterns and anomalies. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Adaptability to evolving priorities and project requirements. Benefits Paid Sick Time Employee Assistance Program Following eligibility requirements: Medical Insurance Dental Insurance Vision Insurance HSA Voluntary Life Insurance Accident, Critical Illness, Hospital Indemnity Insurance 401(k) Retirement Plan Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.