Senior Data Scientist
Cluj-Napoca, Romania
5 zile în urmă


Here is the breakdown of the most important parts of your role :

  • You will identify key questions, problems, KPIs and develop analytical frameworks to monitor and improve client products;
  • You will develop and apply a range of statistical, predictive models on data sets to extract trends and outcomes that can predict future performance of client products;
  • You will select features, build and optimize various classifier models using machine learning techniques;
  • You will select, integrate and extend relevant data for the analysis by developing accurate data collection procedures;
  • You will perform processing, cleansing and verifying the integrity of data used for analysis;
  • You will present findings to stakeholders and leadership teams to influence and strengthen business decisions, by selecting the appropriate visualization approach from several valid options.
  • Qualifications and Experience

    We are looking to expand our team with open, thoughtful, and adaptable colleagues who have 5+ years experience with the following :

  • Machine learning techniques such as Decision Trees, Naïve Bayes, SVM, Neural Networks, Deep neural networks;
  • Proficient in using Python, but also R or C / C++;
  • At least one of the data science toolkits, such as R, NumPy, Scikit-learn, Weka, MATLAB;
  • Query languages , such as SQL;
  • At least one NoSQl database, such as Mongo DB, Cassandra;
  • Statistics skills, such as distributions, statistical testing, regression;
  • Data visualization tools;
  • Static models, data intuition and data wrangling tools;
  • SDLC in general (Planned Iterative, Agile);
  • Solid knowledge in project management methodologies : PMP, Prince 2, etc.
  • Solid experience in large international projects working with multicultural teams
  • Solid experience working onshore, offshore, nearshore and on site with co-located and distributed teams;
  • Good spoken and written English language skills.
  • Endava’s philosophy is to both challenge and support you to do the best work of your career.

    Additional Information

    Additional benefits :

  • Private health insurance, monthly sports allowance & meal tickets;
  • Loyalty annual leave days & replacement days for weekend bank holidays;
  • Various options for purchasing Endava shares at a preferential price;
  • Referral bonus;
  • Work from home and flexible working hours;
  • Multiple offers and employee discounts;
  • Ongoing learning opportunities complex projects, trainings, coaching, conferences, workshops, certifications, online learning platforms subscriptions etc. ;
  • Diverse company social life - events, sports tournaments, team buildings, passion groups (e.g. hiking, book club, green team);
  • Multicultural environment - working with colleagues and clients across different countries.
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