LinkedIn

About the Company

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..

Listed Jobs

Company Name

LinkedIn

Job Title

Senior Applied Scientist

Job Description

Job title: Senior Applied Scientist Role Summary Lead data science initiatives that transform large, structured and unstructured data into actionable business insights. Design and conduct rigorous experiments, develop machine‑learning models, and apply causal inference to quantify impact. Collaborate with product, engineering, and analytics teams to prototype scalable solutions and drive data‑driven decision making. Expectations - Advanced knowledge of statistical modeling and machine‑learning algorithms. - Experienced in designing, executing, and interpreting controlled experiments and observational studies. - Proficient in at least one major programming language (Python, R, Scala/Spark, etc.) and statistical software. - Strong business sense, able to translate analytical findings into strategic recommendations. - Ability to independently shepherd projects from conception to production, including code and design reviews. - Mentor junior scientists and promote best practices across the data‑science community. Key Responsibilities 1. Identify business opportunities and develop algorithms to address them. 2. Perform advanced data‑science research, model enhancement, and causal studies to quantify cause and effect in the LinkedIn ecosystem. 3. Develop and refine methodologies that improve product and platform capabilities. 4. Build, prototype, and validate end‑to‑end tools and applications (backend, frontend, data) with technology partners. 5. Promote adoption of technical advances, elevating the quality of data‑science practice. 6. Measure and communicate labor‑market and economic phenomena insights. 7. Initiate and lead large‑scale, complex strategic projects across cross‑functional teams. 8. Provide technical guidance, mentorship, and conduct code/design reviews. Required Skills - Machine learning (supervised, unsupervised, deep learning). - Applied statistics & statistical modeling. - Causal inference & experimental design. - Programming: Python or R (plus at least one other, e.g., Java/Scala/Spark). - Data engineering fundamentals (SQL, data pipelines). - Strong communication, leadership, and problem‑solving skills. Required Education & Certifications - Bachelor’s degree in a quantitative discipline (Statistics, Computer Science, Operations Research, Applied Math, Economics, etc.). - Minimum of 3 years relevant industry or academic experience. - Preferred: Master’s or Ph.D. in a quantitative field with at least 3 years relevant experience; or equivalent experience. - No specific professional certifications required.

Mountain view, United states

Hybrid

Senior

26-12-2025

Company Name

LinkedIn

Job Title

Staff Applied Scientist

Job Description

**Job Title:** Staff Applied Scientist **Role Summary:** Lead data‑science initiatives across LinkedIn’s product platforms, designing, developing, and deploying machine‑learning and causal‑inference models that drive member engagement, business growth, and monetization. Collaborate with cross‑functional teams, mentor junior scientists, and influence senior leadership through data‑driven insights. **Expectations:** - Minimum 7 years of industry or academic experience in quantitative fields. - Strong background in machine‑learning, causal inference, and applied statistics. - Proven ability to develop end‑to‑end scalable data solutions, from backend infrastructure to frontend visualization. - Demonstrated experience driving projects from conception through independent completion. - Excellent communication skills to translate complex analytics into actionable business recommendations. **Key Responsibilities:** - Identify business opportunities and design algorithms to address them. - Analyze large structured and unstructured datasets to build causal and predictive models. - Develop methodologies that enhance product and platform capabilities. - Prototype and validate end‑to‑end data‑driven tools and applications. - Mentor junior scientists and lead code/design reviews. - Serve as a strategic partner to senior leaders, prioritizing projects and advocating data‑driven decisions. - Champion the adoption of advanced data‑science techniques across the organization. **Required Skills:** - Programming: Python, R, Java, Scala/Spark, or equivalent. - Statistical modeling and analysis in R or Python. - Expertise in machine‑learning algorithms (supervised, unsupervised, reinforcement). - Advanced causal‑inference methods (design, estimation, validation). - Experience with big‑data technologies (Spark/Hadoop, SQL, NoSQL). - Strong analytical, problem‑solving, and communication capabilities. **Required Education & Certifications:** - Bachelor’s degree in Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, or related quantitative discipline. - Master’s or Ph.D. in the same or a closely related field strongly preferred.

Mountain view, United states

Hybrid

Senior

26-12-2025

Company Name

LinkedIn

Job Title

SMB Account Director, Talent Solutions

Job Description

**Job Title:** SMB Account Director, Talent Solutions **Role Summary:** Trusted advisor to SMB clients, driving growth through tailored Talent, Learning, and Glint solutions. Focus on client success and revenue targets with a strategic, customer-centric approach. **Expectations:** Consistently meet/exceed revenue quotas, deliver strategic account planning, and act as internal advocate for client needs. Prioritize long-term client partnerships over short-term gains. **Key Responsibilities:** - Conduct in-depth account planning, forecasting, and territory management. - Identify client business objectives using layered questioning and data insights. - Build relationships with cross-functional stakeholders to align solutions with client goals. - Negotiate commercial agreements with competitive positioning and value-focused outcomes. - Mitigate churn risk through proactive engagement and ROI-optimized strategies. - Drive growth via value-based recommendations for Talent, Learning, and Glint solutions. - Collaborate with cross-functional teams to ensure client success. - Apply CRM and sales tools to manage buyer cycles and pipeline accuracy. **Required Skills:** - Strategic sales planning and territory management - Stakeholder relationship development across levels - Solution-selling with business acumen - Data-driven negotiation and forecasting - Client advocacy and integrity in sales processes - Cross-functional collaboration **Required Education & Certifications:** - BA/BS degree or equivalent in business or related field - 2+ years of sales experience (B2B, SaaS, IT solutions) - Familiarity with HR software, SaaS platforms, and software contract terms - Demonstrated revenue target achievement with growth-oriented strategies

San francisco, United states

Hybrid

Junior

26-12-2025

Company Name

LinkedIn

Job Title

Global Client Executive, Sales Solutions

Job Description

**Job title** Global Client Executive, Sales Solutions **Role Summary** Lead strategic sales for LinkedIn Sales Solutions across the NAMER region, driving revenue growth, deepening customer penetration, and expanding share of wallet through consultative B2B sales of SaaS and CRM platforms. **Expectations** - Meet or exceed quota as a senior sales professional. - Build and execute multi‑threaded account plans aligned with global strategy. - Negotiate and close high‑value contracts while ensuring post‑sale satisfaction. **Key Responsibilities** - Master the full LinkedIn Sales Solutions suite to articulate benefits. - Collaborate with Global Client Directors and Regional Account Managers to shape and execute global sales strategy. - Develop regional territory and account plans, including multi‑threaded relationship maps. - Lead cross‑functional teams to deliver best‑in‑class customer experience. - Increase revenue by deepening penetration within existing accounts and expanding wallet share. - Negotiate and close orders, providing post‑contract support for delivery and satisfaction. - Generate new pipeline opportunities, sharing successful case studies with the business. - Deliver thought leadership on deep sales at events and online. **Required Skills** - Solution‑based selling, consultative B2B approach. - Strong communication and teamwork abilities. - Cross‑functional partnership management. - Multithreading global enterprise accounts. - Proven track record in SaaS or CRM platform sales. **Required Education & Certifications** - 10+ years of quota‑carrying sales experience. - Experience selling to EVPs, CXOs, and end‑users. - Demonstrated success closing new business and managing existing accounts. - Experience with disruptive technology sales. ---

New york, United states

Hybrid

Senior

26-12-2025