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Senior Data Scientist


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    Tech Stack / Изисквания

    CHILDISH.AI is an AI consulting firm that brings together a team of experts with technical and scientific backgrounds and deep industry expertise in healthcare, banking, insurance and fintech. Our goal is to help organisations utilise AI to accelerate their growth and provide them with a competitive advantage. Through the power of data science and AI, we deliver robust custom software solutions tailored to meet the unique needs of different industries.

    The company also has a cause in its DNA – Give a Book foundation (фондация Подарете книга) holds major share in the group structure and makes us a different company and a different team.

    As a Data Scientist, you will be a key part of our Data Science team. You will work with diverse clients from various industries to create data-driven segmentation, develop cutting-edge algorithms, and curate predictive and prescriptive customer features. You will help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients achieve a competitive advantage against their peers. This position requires an in-depth understanding and use of statistical and data analysis tools.

    Our experienced data science experts are eager to share knowledge and work together for innovative ideas. Having world-class data scientists in your team is one of the biggest benefits of the position.

    Role description

    • Participate in the development, validation and delivery of machine learning algorithms and statistical models;
    • Develop, validate and execute machine learning algorithms and predictive models to investigate problems, detect patterns and recommend solutions;
    • Perform analyses of structured and unstructured data to solve moderately complex business problems by utilising advanced statistical techniques and mathematical analyses;
    • Explore, examine and interpret large volumes of data in various forms;
    • Leverage a mixture of data science methods such as SVM, neural nets, decision trees, and regression models to support the delivery of predictive analytics solutions;
    • Work with other data scientists to develop requirements and technical specification documents for use by data engineers;
    • Create and evaluate the data needs of assigned projects and assure the integrity of the data;
    • Explore existing data and recommend additional sources of data for improvements;
    • Document projects including business objectives, data gathering and processing, modeling methodology, detailed set of results and analytical metrics;

    What do we expect from you

    • Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, Physics, or related applied quantitative field; Masters or Ph.D. is a plus;
    • 1-3 years of experience developing predictive analytics solutions and using machine learning methodologies or/and deep learning algorithms.;
    • Proficient level of understanding of machine learning and deep learning methods;
    • Ability to translate business needs and issues into practical solutions;
    • Ability to identify effective, relevant statistical and/or mathematical methods to solve complex business problems;
    • Experience working within cloud infrastructure (AWS or MS Azure big data environments);
    • Experience developing and implementing predictive analytics solutions in Python; experience with PySpark, or R is a plus;
    • Experience using deep learning libraries (PyTorch, Tensor Flow, Keras) is strongly desired;
    • Ability to independently code SQL queries to extract data from databases and manipulate large volumes of data (both tall and wide format)

    What you get

    • Opportunity to work on the most trending topics in AI
    • Great team of colleagues working for a great cause
    • A flat structure where the management is always there to hear you
    • Flexible working hours
    • Opportunity to work remotely (Hybrid model, office in Sofia)
    • Additional health insurance