If you’re passionate about leading, inventing and growing professionally
you might just be the one to join our journey!

Client facing Data Scientist

About The Position

Noogata's client facing data scientists work from within our client-squads together with our clients ,to define and design machine learning solutions to their most pressing business challenges.

Your responsibilities will include:

  • Work across a wide range of industries and business domains in a fast paced environment. You’ll need to quickly become an expert on the best data-science approaches to address common industry problems
  • Interact with clients in a consultancy fashion to understand their business problems and identify data-driven, scientific, solutions to address them
  • Conduct research, evaluate models, perform feature engineering and model tuning to create high accuracy predictive models
  • Model training, tuning and performance evaluation using the latest tools and methods
  • Work with our data engineering team to build robust, reliable data pipelines for model experimentation, ongoing production inference and model monitoring

Requirements

  • At least 2 years experience with data science projects from early stage concept to production rollouts
  • Broad knowledge of data science modeling techniques (from RandomForests to RNNs and anything in between)
  • Hands on experience with data science packages (TensorFlow, scikit, pyTorch) and tooling (Jupyter notebooks, Anaconda, Vega, ..)
  • Experience in large scale training and model evaluation
  • Big Advantage: Experience with Cloud Machine Learning Platforms (Google ML Engine, AWS SageMaker) and/or commercial tools (DataRobot, BigML or others)

Senior Data Scientist

About The Position

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, …)

In this position you will:

  • Work with clients in a consultancy fashion to size business problems and how a data-driven scientific approach can be used to address them
  • Coach and guide our team 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

Requirements

  • At least 8 years experience with data science projects from early stage concept to production rollouts
  • 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 at an enterprise environment
  • Big Advantage: Experience with Cloud Machine Learning Platforms (Google ML Engine, AWS SageMaker) and/or commercial tools (DataRobot, BigML or others)

Senior Data Engineer

About The Position

We are looking for experienced data engineers to lead architecture and development work on our data science platform.

Your role will include:

  • Building pipelines to harmonize, clean, secure and anonymise large datasets for machine learning purposes
  • Define architecture, select/evaluate tools and open source projects to use within our environment
  • Be a leading part in the development of our enterprise grade machine learning technology platform and ecosystem
  • Coach team members and manage delivery projects from start to finish

Requirements

  • At least 5 years experience with data engineering in Python (or equivalent language)
  • Experience with cloud platforms (AWS, Google GCP, Azure), working on production payloads in large scale and complexity. Experience in working with Docker/Kubernetes a big plus
  • Experience in working on enterprise software, security or data products
  • Big Advantage: Hands on experience with data science tools, packages and frameworks
  • Demonstrated ability to lead architecture

Engagement Manager/Analytics Translator

About The Position

We are looking for a brilliant, creative, ambitious, fun-loving Engagement Managers/Analytics Translator.
If you're all that and looking to lead, invent and grow professionally you should definitely consider applying to join us on our journey!

Your role you will:

  • Lead Business Analytics projects aimed to help companies leverage in-house and 3rd party solutions data to optimize their Operations and Sales. Translate business situations to quantitative thinking and vice versa
  • Manage a team of consultants, data scientists and engineers applying Machine Learning and Advanced Analytics techniques to solve real-world business problems

Requirements

  • 3+ years experience in leading Business Analytics projects, in a top consulting, High-Tech or Corporate environment
  • Experience in structuring business problems, drawing insights from data, and crafting actionable recommendations
  • Top communication capabilities and experience in managing a high-caliber team

Apply for open positions

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.