Data & Business Intelligence Staff Solution Architect
Posted on 2/3/2024

10,001+ employees

Professional networking and career development platform
Company Overview
LinkedIn operates as a comprehensive professional networking platform, designed to facilitate career development and professional connectivity. It allows users to create and share their professional profiles, which include details like work experience, education, skills, and achievements. LinkedIn serves as a dynamic space for job seekers to find job listings, for recruiters to discover potential candidates, and for professionals to engage in networking opportunities. The platform also features tools for businesses to post jobs, promote their brand, and share industry insights. Through LinkedIn, individuals can connect with colleagues, peers, and industry leaders, participate in professional groups, and access a wealth of content related to career advancement and professional growth.
Consumer Software
Enterprise Software
San Francisco, CA, USA
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
Apache Spark
Apache Hive
Data Analysis
Sales & Account Management
Software Engineering
  • BS in Computer Science or related technical discipline
  • 7+ years of experience in Python, R or Scala
  • Experience with machine learning, personalization algorithms, privacy enhancing technologies (PETs), optimization algorithms, and/or deep-learning techniques
  • Experience with deploying AI models (On-Premises/Cloud)
  • Experience with big data processing, Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.
  • Knowledge in ETL process using Databricks – PySpark
  • Ability to select the right statistical methods for a given data science problem
  • Experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
  • Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
  • Understanding and experience building RESTful APIs and microservices
  • Lead data-driven recommendations and insights to support strategic projects across Central Operations
  • Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
  • Understand the business, track operational performance, provide insights and recommendations
  • Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies
  • Deploy the models in production systems & monitor/troubleshoot/debug production issues related to models
  • Design, develop, test and deploy ML models
  • Collaborate closely with partner teams in infrastructure and AI to integrate with other systems to run a seamless ML pipeline
  • Translate unstructured, complex business problems
Desired Qualifications
  • MS or PhD in Computer Science or related technical discipline
  • Track record of producing papers in conferences such as KDD, ... and Patenting Innovation
  • Background in any one of programming language (C#, Java, PHP, JavaScript)
  • Exposure to Deep Learning and Reinforcement Learning is a plus