April-Senior Data Scientist – NLP oriented

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

About April

April is an ambitious stealth mode company backed by Team8 Fintech leveraging data to help US individuals have better financial outcomes. 

About Team8 

Team8 is a company-building venture group that builds and invests in companies specializing in Data, AI, Fintech, 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. 

Description 

 We’re looking for a brilliant, curious, creative, and fun-loving Senior Data Scientist ready to take on a huge opportunity to build April’s core algorithms – NLP and otherwise.

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 architectures, best practices, and implementations for end-to-end (from ideation to production and operation) data-science products.
  • Developing NLP modules such as NER, POS, entity matching, categorization, text parsers, and more.
  • Developing/tuning OCR models and time series prediction models.
  • Evaluate technologies, define data pipeline, and processing architectures to allow us to scale machine learning initiatives across April’s products.
Requirements:
  • At least 5 years experience with data science projects from early-stage concept to production rollouts.
  • [Preferred] At least 2 years of experience with NLP in production
  • Experience and desire to do end-to-end full-cycle data science
  • Previous experience as a Developer/Data Engineer is a significant plus.
  • Broad expertise in multiple industries/domains (vs a single field specialist).
  • Broad knowledge and experience of data science modeling techniques (from time-series prediction to OCR to RNNs and anything in between) and their use within the industry
  • Hands-on experience with data science tooling (TensorFlow, scikit, pyTorch, spacy) and dev environments (PyCharm, Anaconda, yeah Jupyter lab too… But not for production!)
  • 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 Python.
  • Experience with SQL
  • Advantage: Experience with Cloud Machine Learning Platforms (Google Vertex AI / AWS SageMaker)
  • Strong advantage: Kaggle profile

 

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 frameworks.
  • As first DS, Report directly to CTO
  • 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.

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