Senior Data Scientist

  • full time
  • 3+ years
  • Tel Aviv - Center

Job Description:

We are 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. 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. We are 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, …)
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.

Additional Positions:

Algorithm developer



Job Qualifications:

" MSc or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.)
" At least 5 years experience Hands-on experience with data science projects from early-stage concept to production
" rollouts.
" Experience in managing data science projects/programs/teams.
" Broad expertise in multiple industries/domains (vs a single field specialist).
" An all-around data scientist: strong statistics background, strong analytical mindset, experience in experimentation, data visualization, machine learning algorithms, optimization and big data.
" Broad knowledge of data science modeling techniques (ML, GLM, Clustering, DL, etc.) and their use within the industry
" SageMaker)
" Experience with Python and SQL.
" Excellent communication & interpersonal skills
" Big Advantage: Experience with Cloud Platforms (GCP, AWS)

Company Occupation:

High Tech

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