RRemoteville
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Senior Data Scientist

Skills
Analytical SkillsAttention To DetailData ModelingData ScienceMachine LearningPredictive AnalyticsR
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Master’s or higher preferred in Data Science, Computer Science, Mathematics, Statistics, Physics, or a related field
  • Expert proficiency in SQL, Python, and Spark
  • Strong experience in machine learning, AI, and big data technologies
  • Familiarity with AWS tools like S3, Iceberg, Glue Jobs, Athena, etc., is highly desirable
  • Experience with deep learning methodologies such as recurrent neural networks, transformers
  • Minimum 5 years of experience in a data science role with a demonstrated track record of delivering impactful data-driven solutions
  • Exceptional analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Excellent communication and interpersonal skills, with the ability to advocate for data-driven approaches to non-technical audiences.

Nice to have

  • Experience with recurrent neural networks (RNNs)
  • Experience with large language models (LLMs)
  • Experience with retrieval-augmented generation (RAG)
  • Strong understanding of vector-based retrieval methods and various NLP domains

Day to day

  • Use statistical, algorithmic, mining, and visualization techniques to model complex problems, discover insights, and identify opportunities. Lead initiatives to design, test, and implement predictive models and machine-learning algorithms. Collaborate with the Data Science Team Lead to prioritize business and information needs. Manage end-to-end data projects, ensuring they adhere to timelines and quality standards.
  • Work closely with product, engineering, and operational teams to contribute to cross-functional projects. Communicate predictive insights and recommendations to both technical and non-technical stakeholders. Act as a mentor to junior data scientists and analysts. Share knowledge and help team members enhance their skills in data science techniques and tools.