Openings at Glassbox

Israel

Data Scientist and ML Lead

Full-time · Senior

About The Position

Glassbox is looking for a Data Scientist and ML Lead to join our R&D team

Glassbox is a world leader in recording analytics. This is an opportunity to work with bleeding-edge technology and top-tier customers while solving problems at an incredible scale

When was the last time you were excited to go to work?

What you'll be doing

As our Data Science and ML Lead, you will surely get excited with the opportunity of handling exceptional volumes of customer data (hundreds of billions of monthly events!) and help us facilitate cutting-edge Machine Learning technologies at large scale for some of the largest organizations in the world

You will work closely with several teams within Glassbox - Product team, Data Science team as well as several R&D teams and take a pivotal role in defining our next generation ML platform infrastructure and road-map

Responsibilities

  • Own and be accountable for implementation of the big data ML based solutions end to end from proof of concept through to production operation
  • Identify opportunities for leveraging customer data to build the ML road map and drive new customer insights based through new statistical and learning models
  • Plan and lead innovation, exploration, design, and implementation of ML road-map
  • Work closely across multiple R&D teams (Product, S/W Development, DevOps, BI, QA) as well as other company stakeholders to influence product strategy and execute delivery of solutions
  • Hands-on development of custom data models and algorithms to apply to data sets using predictive modeling to optimize customer experiences and other business outcomes
  • Develop processes and tools to monitor, analyze and improve model performance and accuracy

Requirements

  • Exceptional at planning, setting expectations, defining goals and meeting commitments
  • Proven experience in leading solutions from proof of concept, rigorous design and implementation through to production of highly scalable, enterprise-class solutions
  • Extensive hands-on and theoretical background in data mining, advanced statistical analysis and machine learning practices and techniques (clustering, decision tree learning, NN, etc) and their real-world advantages/drawbacks
  • Expert implementation skills in Python, SQL, and popular machine learning frameworks (scikit-learn, TensorFlow, keras, etc)
  • Proficient with a variety of big data technologies, databases, data lakes, and data warehouses (e.g. Kafka, Spark, ElasticSearch, Cassandra, Postgres, Redshift, Clickhouse, S3, etc) 
  • Independent self-starter and team player with excellent communication and interpersonal skills
  • Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
  • Excellent / Fluent written and spoken English

An advantage

  • Experience with AWS EMR, Sagemaker, S3, Step Functions, and other platform services
  • Big Advantage - Prior experience and understanding of digital customer experience (CX) or similar business domain
  • Thrives and enjoys working in startups and fast paced environment

Apply for this position