noogata-Data Scientist

  • noogata
  • Tel Aviv, Israel
About The Position

noogata is industrializing enterprise AI, enabling enterprise to easily and scalably infuse AI into key operational processes at a fraction of the cost and complexity of current generation solutions. noogata’s technology allows enterprises to deploy prefabricated solutions for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. noogata is looking for world-class engineers, machine-learning engineers, and data scientists to join us and build our product and grow our vision. We’re looking for customer-focused, self-driven engineers and scientists that want to solve big, complex problems with a huge impact.

We’re looking for brilliant, creative, ambitious, fun-loving engineers and data-scientist. If you’re all that and looking to lead, invent and grow professionally you should definitely consider applying to join us on our journey! 

  • We are looking for experienced, savvy, data scientists to lead and execute machine learning projects in a wide range of industries (retail, banking, media, manufacturing) and domains (demand forecasting, NBO, content classification, …)

Responsibilities

  • Be part of a data-science team where you will lead end-to-end ML projects. (from data extraction through model validation & A/B testing to model deploying)
  • Discovering and translating business challenges into data-pipelines and model framework
  • Manage and design Customer-specific analytical solutions using Machine Learning.
  • Work closely with Management, Data-Engineering and DevOps teams 
  • Interface with R&D and data engineering to integrate data collection, data quality, and core model output into production systems.
  • Convey complex analysis results clearly and with conviction to all stakeholder levels

Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.

Requirements:
  • Minimum 6 years of relevant hands-on experience as a Data scientist / Machine learning expert
  • BSc or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.)
  • An all-around data scientist: strong statistics background, strong analytical mindset, experience in experimentation, data visualization, machine learning algorithms, optimization and big data.
  • Experience with R or Python.
  • Exposure to SQL and relational databases 
  • Excellent communication & interpersonal skills
  • Willingness to travel.
  • Excellent English – both written & verbal

Advantages

  • MSc or equivalent experience in a quantitative discipline (Statistics, Mathematics, Engineering, etc.)
  • Prior practical experience in production with clustering and text analysis.
  • Strong statistics background, experience in data visualization.
  • Experience using SQL for data extraction and analysis.
  • Experience with web analytics: Defining user journeys, tracking, and attribution concepts, setting up and evaluating A/B-tests.
  • Prior consulting or customer-facing roles

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