Data Scientist

With over 25 years of experience on the Romanian HR market, PROHUMAN APT (former APT Resources & Services) is the one of the biggest players in the industry, a force concentration evenly deployed across different specialties. Having approximate 4000 employees (mostly higher educated) in BPO and temporary work assignments, as of 2021, PROHUMAN APT ranks in the Top 3 HR providers in Romania.

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:

-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.

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