Sr. Data Science Engineer in San Francisco, CA

$80K - $100K(Ladders Estimates)

Quid   •  

San Francisco, CA 94102

Industry: Information Technology


Not Specified years

Posted 53 days ago

The Opportunity

  • Work with our Core Data Science, Product and UX groups to translate user requirements into sensible, robust, production-ready code.
  • Design and implement automated, scalable, and robust streaming and batch data acquisition pipelines
  • Design, implement, and maintain a high-performance, scalable, and reliable search API backed by an Elasticsearch cluster.
  • Work closely with product and other engineering teams to identify requirements and iterate on solutions
  • Own the monitoring and operations of the data pipelines and search API, making sure our clients can always search and generate insights from the latest available data
  • Own Quid's frameworks, practices and standards for distributed systems, streaming pipelines, batching jobs and other data processing needs
  • Research and advocate for new technologies to add to Quid's technology stacks
  • Evangelize and facilitate best practices, code reviews, architecture and design reviews, tested code and a great engineering culture

Example Core Data Science Capabilities:

  • Statistical anomaly detection
  • Entity extraction and named-entity disambiguation
  • Knowledge graphs
  • Graph analytics
  • Sentiment analysis
  • Hierarchical topic modeling and other clustering methods
  • User intent inference
  • Predictive modeling
  • Trend detection
  • Event detection
  • Intelligent summarization

Example Technical Challenge:

  • Leverage our news data set in combination with event detection, summarization, sentiment analysis and anomaly detection to surface interesting insights related to brand perception. Work with Core Data Science, Product and UX to define requirements in terms of logic and key visualizations and build the backend services to deliver agreed upon outputs.
  • Leverage our knowledge graph in combination with network statistics to determine key opinion leaders in research articles

Your Qualifications:

  • Experience building production software, including deploying machine learning models
  • BS in Computer Science or equivalent
  • Understanding of common data science algorithms and when to use each
  • Competence in data science model builds (e.g. using Sci-kit learn, Tensorflow or custom frameworks/algorithms)
  • Solid computer science foundation; good understanding of data-structures, memory and runtime complexity
  • Fluency in Python. We also use Java, Scala, C++ as needed (any combination of the above is OK)

Preferred/Extra credit:

  • Experience with NLP
  • A formal background in computational linguistics
  • Expertise in unsupervised machine learning methods
  • Expertise with neural networks/deep learning

Valid Through: 2019-10-17