דאטה

Senior Data Scientist

117615

תאריך עדכון

31/12/2019

תיאור המשרה

We are looking for a Senior Data Scientist who will utilize her/his expertise into designing predictive models in the fields of player behavior and game experience and be a professional focal point for our data science team.
Responsibilities:
    • Build ML algorithms that will meet the business objective, reaching a high level of precision in your results
    • Be able to query and use very large data sets, including data pulling, processing and cleaning
    • Ability to deal with all parts of the modelling workflow – from research, data extraction, model selection and design, to deployment and clearly presenting and communicating the results
    • Collaborate with different business units (inc. a team overseas) in designing and implementing your solutions, making sure to comply with business needs
    • Collaborate with the different engineering and BI teams, making sure to comply with the technical needs and constraints
    • Conduct independent research and innovative thinking, keeping track with technology advancement and new tools and researches in the data science field
Requirements:
    • At least 4 years of previous experience as a data scientist, preferably from the online industry
    • Good knowledge of SQL, Python and Scala
    • Deep understanding of mathematics and statistics
    • Deep understanding of ML algorithms (classification, regression, clustering and deep learning frameworks)
    • Good understanding of big data platforms and querying tools (GCP- an advantage)
    • An academic degree in an analytical field such as Mathematics, Statistics, Computer Science, Physics, Engineering or Natural Sciences
    • Research background or paper publication – an advantage
    • Experience with image recognition, deep reinforcement and NLP – an advantage
    • Data engineering skill set – an advantage
Personal requirements:
    • Proactive attitude, entrepreneurial mindset, with a strong work ethic
    • A passion for problem-solving and efficiency
    • Ability to work in a team, share information and give professional guidance
    • Excellent English skills
    • Presentation Skills – an advantage
 
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