Data & Business Intelligence Staff Solution Architect

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together

Data and Business Intelligence Staff Solution Architect

The Central Operations organization is responsible for building the ultimate go-to-market engine to connect our solutions with customer needs at scale. As a Data & BI Staff Solution Architect, you will be partnering with senior leaders to crack the most important strategic topics to drive operational excellence and ultimately increase customer value. This role is responsible for leading data-driven recommendations, designing, building and deploying AI models for classification, clustering and prediction, integrating AI solutions, converting data into business insights using data processing and data mining techniques, and scaling operational and planning processes in partnership with cross-functional stakeholders. 

The ideal candidate should have a strategic mindset and strong communications skills to collaborate with cross-functional stakeholders and drive critical business decisions. The candidate should also be able to handle highly sensitive, confidential, and non-routine information, have high attention to detail, be open-minded to challenge the status quo and work in a rapidly changing organization in close collaboration with business partners. 

Responsibilities: 

• 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. 

Qualifications

Basic Qualifications: 

• BS in Computer Science or related technical discipline
• Experience with machine learning, personalization algorithms, privacy enhancing technologies (PETs), optimization algorithms, and/or deep-learning techniques
• 7+ years of experience in Python, R or Scala. And SQL
• Experience with building AI models. 
• Background in analytical and technical skills, with clear attention to detail 
• Experience with deploying AI models (On-Premises/Cloud) 
• Experience with big data processing. Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.
• Knowledge in ETL process using Databricks – PySpark.
• Experience in deploying machine learning models in Azure cloud
   

Preferred Qualifications: 

• Ability to select the right statistical methods for a given data science problem. 
• Strong fundamentals in Statistics and Optimization 
• 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.) 
• 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) 
• Understanding and experience building RESTful APIs and microservices