All offersGdańskDataData Scientist/Engineer (Fintech / AI)
Data Scientist/Engineer (Fintech / AI)
Data
Scalac

Data Scientist/Engineer (Fintech / AI)

Scalac
Gdańsk
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Remote
Scalac

Scalac

Scalac is the Team! This is crucial. We love to work together. We specialize in systems development on a large scale, based on Functional Programming Languages. We believe that truly great products happen when employer and employee go hand in hand.

Company profile

Tech stack

    Machine Learning
    regular
    Python
    regular
    Scala
    regular
    R
    regular
    Hadoop
    regular
    Spark
    regular

Job description

Data Scientist (Fintech / AI)
 
We are searching the Data Scientist experts for current and to-be Clients.  

The Role
Your role will be to create, design and implement the next generation of knowledge discovery tools and big data analytics. You will be developing cutting-edge machine learning algorithms that can be used to extract decision-making signals from heterogeneous streams of unstructured data in real-time. 
Applicants must have a strong background in machine learning, computational semantics, and statistical modeling for predictive analytics. In addition, candidates are expected to have hands-on experience in deploying data analysis and machine learning algorithms on distributed systems.
Key Qualifications

  • 3+ years relevant experience
  • Strong knowledge of state-of-the-art algorithms in machine learning (e.g. Bayesian learning, latent/topic models,approximate inference, deep networks, stochastic processes), graph analysis (e.g. community detection, random walk) and statistical modeling (e.g. hypothesis testing, dimensionality reduction)
  • Proficiency in standard data analytics toolkits in Python, Scala or R 
  • Hands-on experience of Hadoop 2.0 (Spark, MapReduce) and AWS ecosystems is highly beneficial

Core Responsibilities 

  • Collecting and preprocessing data, prototyping concepts, designing cutting-edge machine learning algorithms and testing them on production data.