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‪Data Scientist High Tech Jobs

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Glassbox

Data Scientist

Data Scientist

Israel, Petah Tikva

Yesterday
F5
F5

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Data Scientist

United States, California, San Jose

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S
Seebo

Data Scientist

Data Scientist

Israel, Tel Aviv

26.11.2021
H
Honeywell

Data Scientist

Data Scientist

India

26.11.2021
PP
PayPal

Data Scientist

Data Scientist

Singapore

25.11.2021
PP
PayPal

Data Scientist

Data Scientist

United States, California, San Jose

25.11.2021
PP
PayPal

data scientist

data scientist

China, Shanghai

25.11.2021
A
Amdocs

Data Scientist

Data Scientist

United States, Georgia, Atlanta

25.11.2021
I
Intel

Data Scientist

Data Scientist

United States

21.11.2021
NI
NaturalInt

Data Scientist

Data Scientist

Israel, Tel Aviv

Yesterday
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GlassboxData ScientistIsrael, Petah Tikva
Details

Responsibilities

  • Research, develop, and maintain ML models, from ideation to productization
  • Understand Business/Customer/Product requirements and translate them into elegant/flexible capabilities and solutions
  • Be a part of a full-cycle Data Science team, participating in Design and Architecture discussions of complex large scale systems
  • Contribute to the team effort of driving the organization to a more data-oriented approach and philosophy
  • Closely collaborate with Data and ML Engineers in order to drive the execution and delivery of features and models, adapting data pipelines and ML models packaging as micro-services
  • 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

What You Will Need

  • Exceptional at planning, setting expectations, defining goals, and meeting commitments
  • 2+ years of proven experience as a Data Scientist
  • 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 -- Experience with times series a big plus
  • Expert implementation skills in Python, SQL, and popular machine learning frameworks (sci-kit-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
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