Data Scientist

IBM
офис ссылка на отклик
от 220 000 р/мес. net по данным careerspace
Москва

Responsibilities

  • You will be the Subject Matter Expert on Data and AI Statistical models and how they apply to business problems
  • Led by a solution architect, you will advise on and help implement models in Machine Learning, Optimisation, Neural Networks, and Artificial Intelligence such as Natural Language, and other quantitative approaches
  • You will act as a key contributor partnering with clients to understand business problems and propose solutions
  • You will deliver meaningful insights and predicts emerging trends to inform business solutions that optimise client value
  • You will contribute to co-creation of rapid proofs of concept and minimally viable solutions that demonstrate business value, leading to client investment in strategic solutions

Skills

  • You are familiar with Data Engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation, including automating data pipelines
  • Demonstrate strong business acumen and ability to understand business problems, formulate hypotheses and test conclusions to influence solution design
  • Leverage a variety of structured and unstructured data sources, analytics, AI tools, and programming languages to derive meaningful data insights (e.g., Python, R, Spark, TensorFlow, Jupyter, etc.)
  • Possess relevant industry and/or business domain knowledge such as Finance or Health Care which you will apply to shape solutions
  • Work in an Agile fashion, iterating on the design to react to client feedback and demonstrate rapid progress
  • Expand partnerships at all levels of the client organisation to identify new opportunities for data science applications
  • Required technical and professional expertise:
  • Solid experience as a Data Scientist with a deep understanding of Statistics and statistical practices
  • At least 2 years of experience with identifying data sources, transforming data, etc
  • At least 2 years in a client facing role, including facilitating client discussions and problem framing
  • Experience with a Data Science Programming language, such as Python or R
  • Experience writing applications to visualize data using Opensource tools such as Shiny
  • Preferred technical and professional expertise:
  • Academic training in a quantitative discipline and/or a specialized degree in data science or analytics
  • Understanding of Analytics Life Cycle and / or Crisp DM method and practices
  • Experience with RESTful APIs
  • Demonstrable experience in private and public Cloud
  • Experience in developing and delivering appropriate analytic and/or machine learning models to achieve business goals
  • A VPN is required to respond to a vacancy