Jobs at Livecareer

The Senior Data Scientist will conduct product analysis, build advanced models and analytics tools, evaluate A/B tests, develop automated dashboards, and generate recommendations for product strategy. The role partners with business stakeholders and Engineering to improve data infrastructure and governance, communicate statistical insights, and support data-driven decisions across Product, Marketing, and Finance.

Design and develop scalable Python browser automation services using Kubernetes, Playwright, Chromium, and stealth browsing technologies. Build web scraping solutions, messaging integrations, caching systems, and monitoring metrics while optimizing performance and reliability. Debug complex issues, improve code quality through testing and reviews, collaborate cross-functionally, document architecture, and ensure security and privacy compliance.

Leads technical design and development for scalable .NET platform services. Responsibilities include requirements analysis, coding, architecture, testing, documentation, design and code reviews, mentoring developers, selecting frameworks and design patterns, coordinating across teams, managing development tools, and communicating project risks. The role requires strong experience with C#, MVC, SQL Server, RESTful services, Web API, database design, web concepts, and software development leadership.

Architect, develop, and maintain scalable data warehouses and ETL processes. Integrate business and third-party data using Python and Airflow, support dimensional modeling, optimize SQL queries, and maintain reliable business intelligence infrastructure using enterprise data warehouse and visualization platforms.

Leads security across a multi-product portfolio spanning AWS, Azure, Kubernetes, APIs, applications, edge infrastructure, and AI/LLM features. Builds security architecture, secure engineering practices, detection and incident response, AI assurance, compliance controls, and third-party risk programs. Owns the security tooling budget, directs penetration testing and bug bounty efforts, and leads a multidisciplinary security team while communicating risk to engineers, executives, and enterprise clients.

Owns production machine learning environments and MLOps infrastructure. Responsibilities include architecting microservices and scalable AWS MLOps pipelines, optimizing model serving on Kubernetes, building observability and secure CI/CD frameworks, leading 24/7 on-call operations, managing cloud and hybrid infrastructure, hardening security, optimizing costs, and supporting OpenSearch and EMR platforms across global teams.

Lead onboarding, ongoing training, coaching, and enablement content for a B2B Sales team. Develop playbooks, messaging, call guides, and objection-handling resources; identify skill gaps using performance data; align programs with Sales, Marketing, and Operations; and measure impact through win-back results and sales program win rates.

Own and scale Bold’s affiliate marketing channel by managing approximately 3,000 partners across Impact.com, Commission Junction, and Everflow. Build onboarding, reporting, review, and communication processes; analyze performance KPIs; recruit and reactivate partners; improve partner results; support platform decisions; and use AI tools for analysis, reporting, communication, and automation. The role requires independent ownership, cross-functional collaboration, quarterly industry event attendance, and transition of channel management in-house.

Analyze and optimize systems, workflows, data models, and platform integrations across business units. Translate requirements into technical specifications, coordinate integration projects with offshore teams and vendors, troubleshoot operational incidents, lead UAT, develop reporting and documentation, and provide technical insights that support business growth and platform scalability.

Leads search and matching data science initiatives using NLP, LLMs, RAG, machine learning, statistical modeling, embeddings, and vector search. Develops scalable data systems and models from large user datasets, partners with Product, Engineering, and Management, mentors data scientists, manages project risks and schedules, and provides technical leadership for end-to-end product features.

Validate BI solutions by building test strategies, plans, and cases for ETL and BI components. Verify SQL queries, validate data sources and transformations, execute manual and automated tests, validate dashboards/reports, and produce test summary reports while collaborating with BI developers and business analysts.

Leads the strategy, roadmap, and execution of search, ranking, matching, and recommendation products for a two-sided marketplace. Oversees algorithmic performance, resource allocation, experimentation, metrics, executive communication, and cross-functional alignment across consumer and enterprise experiences. Coaches product managers and establishes scalable operating rituals while connecting technical improvements to engagement, retention, customer value, and marketplace growth.

Own the end-to-end strategy and roadmap for ExpertApply, an AI-powered job application automation product. Lead mobile-first growth, experimentation, funnel optimization, retention initiatives, and revenue growth. Partner with Engineering, Design, Marketing, Analytics, and leadership to develop features based on market trends, user research, competitive analysis, and quantitative metrics.

Own the Jobs platform roadmap and coordinate architecture, engineering, data science, analytics, and product teams. Improve job ingestion, cleansing, indexing, search, matching, recommendations, data quality, vendor-feed coverage, and evaluation models at web scale. Define metrics, build dashboards, translate business requirements into end-to-end solutions, and ensure job seeker needs are met across millions of jobs and users.

Develop and maintain scalable web-based products and distributed microservices using .NET technologies. Responsibilities include translating requirements into applications, writing clean and reliable code, designing for high load and scalability, troubleshooting bottlenecks, collaborating with business and engineering teams, and maintaining code quality and automation.

Lead the design, development, optimization, and maintenance of scalable enterprise applications using Java and Spring Boot. Build high-performance REST, gRPC, and GraphQL APIs; ensure production reliability, security, and scalability; participate in architecture planning and code reviews; collaborate with product, DevOps, and QA teams; mentor junior engineers; and troubleshoot production issues through root cause analysis and long-term remediation.

Principal Engineer responsible for designing scalable, secure, distributed software architectures and guiding development teams. The role includes developing web applications with Microsoft technologies, evaluating tools, conducting code reviews, ensuring architectural compliance, troubleshooting complex issues, and delivering production-quality code and tests. The engineer will collaborate with architects and senior leaders while defining technical standards, workflows, system integrations, and solutions for high-transactional products.

Develop predictive models, NLP and machine learning systems using large user datasets to improve search, matching, recommendations, and other digital products. Build scalable data products with Engineering and Product teams, applying statistical analysis, vector search, LLM/RAG techniques, embeddings, classifiers, and deep learning. Collaborate across teams to research new methods and deliver production-ready software.

Develop predictive models, NLP and machine learning systems using large user datasets to improve products and create new data products. Responsibilities include statistical analysis, scalable data system development, prompt engineering, large language model benchmarking, and agentic workflow experimentation. The role collaborates with Engineering, Product, BI, Legal, and Management teams and may involve production model deployment and backend development.

Lead SDET responsible for translating technical/architectural designs into low-level test solutions, mentoring engineers, developing and owning test automation frameworks, creating API/backend tests, extending API automation, supporting CI, and conducting performance, security, and scalability testing.