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Data Scientist

Industry: Finance
Remote
Company size: 251-10K
Full-time/Part-time

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Job description

A well-established company that is developing an intuitive financial trading platform while leveraging modern technologies, is looking for a Data Scientist. The selected candidate will be responsible for ensuring effective data storage, processing, and retrieval, design and maintenance of the Azure Data Lake architecture. The company’s innovative platform is enabling investors, traders, and other customers to efficiently grow their finances. This is an amazing opportunity for candidates who are eager to test their skills while working in a demanding environment. 

 

Job Responsibilities:

  • Leverage data to provide insights on how our
    marketing, ops and engagement strategies should function in the short, medium
    and long term 
  • Analyze data and build ML models to understand
    behaviors of existing and potential customers 
  • Use data to identify untapped areas of growth and
    provide guidance on how to optimize both the product and the
    engagement/marketing strategies to capture this growth 
  • Build models from POC to production-ready  
  • Build customer-facing reporting tools to provide
    insights and metrics which track business performance. 
  • Formulating, suggesting, and managing data-driven
    projects which are geared at furthering the business's interests. 
  • Document business understanding of data and clean
    data from various entities for later use. 
  • Cross-validating models to ensure their
    generalizability.  

Job Requirements:

  • At least 8-10+ years of relevant experience as a
    Data Scientist 
  • Proficiency in programming languages such as SQL
    and Python for data manipulation, analysis and model building 
  • Familiarity with big data frameworks like Spark 
  • Experience in data mining, data cleaning,
    predictive modelling using machine learning on cloud platforms. 
  • Experience in building, fine-tuning and monitoring
    descriptive/predictive/prescriptive models using various modelling techniques
    and methodologies such regression, random forest, neural networks etc. 
  • Experience of delivering models (or POC’s) using
    Generative AI technology will be preferred. 
  • Proficiency in using data visualization packages
    including Matplotlib, Seaborn to create clear and effective data visualization  
  • Experience working on Azure and databricks platform
    will be preferred 
  • Understanding of NLP techniques for text analysis,
    sentiment analysis and language modelling  
  • Understanding of time-series forecasting techniques
    like ARIMA  
  • Experience in Power BI is preferred 
  • Knowledge of MLOps is preferred 
  • Background in the financial industry 
  • Bachelor’s/Master’s degree in Engineering, Computer
    Science (or equivalent experience)  

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