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  • Middle Data Science
    Data

    Middle Data Science

    Kraków
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote
    N-iX

    N-iX

    N-iX is a global software development service company that helps businesses across the globe create mind-blowing software products. Founded in 2002, today we’re a team of 2,200+ tech-savvy professionals working on innovative projects for global industry leaders and Fortune 500 companies.

    Company profile

    Tech stack

      NLP

      advanced

      LLM

      advanced

      SQL

      advanced

      Python

      advanced

    Job description

    Online interview

    We are seeking an expert Data Scientist to join our team. In this role, you will work with multiple data sources (e.g. ticketing system, marketing platform, databases, etc.) to gain valuable insights and provide a basis for decision-making. You will collaborate with various departments within Fourth to ensure data is extracted, processed and analyzed accurately, effectively and efficiently, and fulfills the business need. We expect that you will build experiments and POC that will lead to accomplishing the end goal.


    What will you do?

    • Develop models for data analysis and prediction
    • Perform exploratory data analysis to identify patterns and trends
    • Apply machine learning and statistical techniques to analyze data
    • Identify business opportunities through data analysis
    • Collaborate with other IT experts to optimize data processing workflows
    • Create prototypes, POCs and models to validate data analysis


    Required skills and experience

    • Expertise in data analysis and working with complex data sources, including strong experience with SQL databases
    • Broad knowledge of forecasting models and machine learning methods such as
    • Churn Prediction 
    • LLMs
    • NLP(e.g. Sentiment Analysis, Topic Modelling, Named-entity recognition)
    • Proficiency in predicting/recognizing trends and patterns from data points of various sizes
    • Proficiency in ML Programming Languages (e.g., Python, Pandas)
    • Ability to work both independently and collaboratively within a team
    • Strong analytical and problem-solving skills, focusing on achieving the end goals


    Nice to have

    • Familiarity with cloud-based data science platforms
    • Understanding of data visualization tools and techniques
    • Background in statistical analysis and mathematical modeling
    • Knowledge of API Scripts and Tools (e.g., JSON etc. on Mulesoft, Apigee)
    • Familiarity with Multi-dimensional Databases (e.g., Essbase, Anaplan)

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