Data Scientist

  • San Jose, Remote, Costa Rica
  • Contract

Company Description

Log(n), founded in 2010, specializes in staff augmentation by helping our customers fill critical technical roles to reach their development goals. But we don’t just fill your open engineering roles - we partner with each of our customers to provide high quality remote engineers that become a real part of your team.

Our team consists of passionate engineers. We focus on design, quality, performance and customer satisfaction.

Our customers include companies like Hired, Homesuite, Kabam, Pearson, and Revinate.

Log(n) is headquartered in San Francisco, CA and has offices in Costa Rica.  

Qualifications

  • 3+ years of professional experience in a Data Science role

  • 2+ years of experience working with, and deploying to, a fully-managed machine learning service (e.g., AWS Sagemaker or GCP CloudML)

  • Advanced degree in machine learning, statistics, applied math, engineering, physics, or a similar field

  • Experience with distributed processing frameworks (e.g., Hadoop, Spark, HBase, Hive, Mahout)

  • Programming knowledge in Scala, R, Python, or Java

  • Passionate about working with large datasets and mining data to come up with insights that can power future product growth

  • Strong opinions about writing beautiful, maintainable, and understandable code

  • Proficient in writing reproducible and fault tolerant models and creating ML pipelines (Sampling, Feature Engineering, Training, Evaluation, and Scoring)

  • Expertise in statistical methods and experimental design and analysis

  • Comfortable with Natural Language Processing frameworks and techniques to deal with highly unstructured data

  • Experience quering TinkerPop-enabled databases using a graph query language (e.g., Gremlin)

  • Experience building recommendation models based on graph relationships

  • Designing and analyzing experiments to measure the impact of new product features

  • Adding new metrics and aggregations to our Machine Learning Pipeline and data output to make new class of questions answerable

  • Building models to predict the growth trajectory of different customer segments

  • Strong verbal and written communication skills

Additional Information

Benefits
Private Medical Insurance
● WFH 5 days a week
● Team Activities and perks (monthly UberEats lunch, etc.)
● Assistance with home office setup
● Paid Holidays
● Generous PTO including and Birthday PTO