Incredibles-Data Scientist

  • Incredibles
  • Tel Aviv, Israel
  • Full-time
About The Position

About Incredibles 

Incredibles, a Team8 Fintech portfolio company, Building upon the rise of eCommerce, the company focuses on allowing its partners to unlock financing opportunities for their e-commerce sellers. By leveraging deep industry knowledge, traditional and alternative data, and cutting-edge technologies we are set to offer superior creditworthiness assessments for e-commerce businesses. Our product ranges from financial risk assessment and monitoring, underwriting to fully white-label lending services.

About Team8 

Team8 is a company-building venture group that builds and invests in companies specializing in Fintech, enterprise technologies, data, AI, and cybersecurity. The Team8 model supports entrepreneurs with an in-house team of researchers, growth experts, and talent acquisition specialists, and a “village” community of enterprise c-level executives and thought leaders. Whether building a new company from scratch or investing in companies already on their journey, Team8 brings a rich ecosystem to work hand in hand with entrepreneurs in accelerating their path to success.

The Team8 Fintech Team 

Bringing unparalleled expertise in banking, credit, e-commerce, payments, capital markets, and wealth management from financial incumbents and startups that have grown into billion-dollar valuation companies.

 

Description 

We’re looking for a brilliant, creative, ambitious, fun-loving 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!  

About The Position

  • Lead on best practices and approaches for building scalable, lasting data-science solutions. 
  • Model training, tuning, and performance evaluation using the latest tools and methods
  • Evaluate technologies, define data pipeline, and processing architectures to allow us to scale machine learning initiatives across our client base.

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
  • Work closely with Management, Data-Engineering, and Development teams 
  • Interface with R&D and data engineering to integrate data collection, data quality, and core model output into production systems.
  • Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.
Requirements:
  • At least 3 years’ experience with data science projects from early-stage concept to production rollouts.
  • Previous experience as a Developer/Data Engineer is a must. 
  • Broad expertise in multiple industries/domains (vs a single field specialist).
  • Broad knowledge of data science modeling techniques (from RandomForests to RNNs and anything in between) and their use within the industry
  • Hands-on experience with data science packages (TensorFlow, scikit, pyTorch) and tooling (Jupyter notebooks, Anaconda, Vega, ..)
  • Experience in large scale training and model evaluation in an enterprise environment.
  • Advantage: Experience with Cloud Machine Learning Platforms (Google ML Engine, AWS SageMaker) and/or commercial tools (DataRobot, BigML or others).
  • 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 

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