Junior Data Scientist

Angajator: Smartx Net Apps
  • Internet - eCommerce
  • IT Hardware
  • IT Software
  • Tip job: full-time
    Nivel job: 0 - 1 an experienta
  • Actualizat la: 16.10.2019
    Scurta descriere a companiei

    We are a fast growing and innovative internet development company, with over 15 years of experience in building and maintaining web-based projects. Our main focus is the development and enhancement of one of the largest websites in the world, having an audience in the top 300 sites world-wide.
    We value our staff by investing in their development, health and good employment practices. Our workplace has a creative, well-organized, dynamic and fun atmosphere, which allows people to develop their potential and enjoy sharing experience with other professionals.


    Technical Skills:
    • Data Science languages: R/Python/Spark
    • Database querying: SQL, NoSQL (MongoDB ideally)
    • Nice to know programming languages: Java/Php/Python web

    Data Science techniques:
    • AI: ML/NN: Supervised/Unsupervised Learning, Feature engineering, Model Ensembling, Naive Bayes, Model Assessment, Bias Variance Decomposition, Dimensionality reduction
    • Statistical modelling: logistic/linerar regression, t-test, anova, linear algebra,
    • Nice to know data Visualization: plotting with RShiny or others
    • Nice to know open source AI platforms: H2O.ai, TensorFlow, etc.

    Data oriented skills:
    • Data manipulation: data mining, data exploring, data preparation, data aggregation
    • Nice to know data Engineering: ability to create ETL processes, run CRON jobs or define a database structure;
    • Data Analysis: ability to conclude and recommend based on reports and visualizations

    • Analytical thinking
    • Advanced analytics
    • AB testing knowledge
    • Nice to know Google Analytics or equivalent
    • Understanding business concepts and ability to transpose them into technical implementation.

    Soft skills:
    • Critical ability for a constructive result
    • Good communicator
    • Team-player
    • Fun and passionate
    • Curious and enthusiast

    Educational Background:
    • Computer Science/Statistics&Mathematics
    • Online courses


    - Reading research articles
    - Online training courses in AI and statistics

    Data manipulation:
    - Data sources connection
    - Data structure understanding
    - Learn and apply SQL basic
    - Deliver simple data aggregations
    - Solve simple data inconsistencies (tackling NULLs, missing values)
    - Simple APIs calls

    Statistics/ Probabilistic reasoning:
    - Applying t test
    - Applying bootstrapping methods
    - Demonstrate basic knowledge of concepts of Basic Probability Concept, Bayesian Inference, Naive Bayes Models
    - Continuous learning in statistical concepts: Bayesian Networks, Markov Model, Dimensionality reduction, Feature selection and visualisation

    - Understand and apply simple Machine Learning technique
    - Understand and train simple Neural Networks
    - Docker manipulations
    - Team Meetings
    - Knowledge transfer

    Alte informatii

    We have:
    • Benefits and professional development according to each individual’s needs;
    • Cozy workplace located within walking distance of many delicious restaurants and cafés;
    • In the days this doesn’t work for you, our office kitchen is always fully stocked with both sweet and savoury snacks and drinks!