Data Scientist

Employer: APT Resources Services SRL
Domain:
  • IT Hardware
  • IT Software
  • Job type: full-time
    Job level: peste 5 years of experience
    Location:
  • BUCHAREST
  • nationwide
    Updated at: 13.04.2021
    Short company description

    APT RESOURCES & SERVICES SRL

    Cu o prezență de peste 22 de ani pe piața românească de resurse umane, grupul de firme APT- Work Service este prezent în avangarda primilor cinci furnizori de servicii complexe de HR din România.
    Ca o confirmare a performantei noastre in domeniul resurselor umane, din vara 2017 am devenit parte a grupului Work Service S.A., unul dintre cei mai mari jucatori de pe piata de resurse umane din Europa centrala si de Est. Anual peste 300.000 de persoane isi gasesc un job prin societatile afiliate Work Service, care gestioneaza sau ofera servicii unui numar de 50.000 de angajati in 20 de tari.
    Strategia Grupului APT se concentrează pe dezvoltarea proactivă a pieței muncii, pentru care identifică, pregătește și oferă specialiști competenți, absolvenți sau studenți cu potențial. Noi aducem omul potrivit la locul potrivit. Cu un palmares de peste 10.000 de angajări, acoperim cele mai căutate domenii, cu focus pe BPO, finanțe-bănci, IT&C, inginerie, retail, auto-motive.

    Adresa: str. Clucerului 82B2, sector 1 Bucuresti; email: office@apt.ro; phone: +40 21 222 13 03
    Autorizație de muncă temporară: seria B nr.0000012/11.11.2015 înregistrată în Registrul Național de Evidență a Agenților de Muncă Temporară la poziția 7
    Autorizație de prelucrare date cu caracter personal :18638
    APT se angajează să vă protejeze datelele dumneavoastră cu caracter personal. Detalii despre prelucrarea datelor dvs. de către APT puteti gasi pe www.apt.ro.

    Requirements

    Requirements:

    -Understanding of how to manage disparate unstructured and structured data in a -distributed environment.
    -Experienced in structured and unstructured data and modern data transformation methodologies.
    -Ability to create advanced analytics models to pull valuable insights from data.
    -Create stories and visualizations to describe and communicate data insights.
    -Solid data modeling experience is required with proven application in applying Decision Trees, Regression analysis, Neural Network and other data mining techniques, experience with time series and experimental design.
    -Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, time series based methods (ARIMA, Causal Autoregressive Mixed Models), neural networks, and multinomial discrete choice.
    -Experience developing and implementing machine learning techniques in real time (e.g. API, PMML, Java, C, RPMML).
    -Advanced hands on experience in Statistical Software (e.g. SAS, R, Python) and big data environments (e.g. cloud (e.g. AWS, Azure), and on-prem (e.g. Hadoop).

    Responsibilities

    Responsibilities:

    -Mines data using modern tools and programming languages (Python, R).
    -Defines and implements models to uncover patterns and predictions creating business value and innovation.
    -Works with the business to understand the business domain perspective.
    -Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.
    -Assures accuracy, integrity, and compliance of cleansed data.
    -Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
    -Collaborates and communicates with project team regarding project progress and issue resolution.
    -Represents the data science team for all phases of larger and more-complex development projects.
    -Provides guidance, training and mentoring to less experienced staff members.

    Other info

    What we offer:
    -Exciting experience with data science’s and analytics’ hottest topics
    -Career building platform
    -International, collaborative and dynamic team.