Updated: 2023-09-12

Full Stack Analytics Developer

Helsinki

  • Publié 4 ans
  • Anglais
  • Début prévu du projet: ASAP

Assignment Details

The ideal candidate is experienced and passionate about building quality software. It would be great, if you are familiar with things like data classification and optimization e.g. attribution, econometric modeling, data-based prediction, recommendation. The position will involve taking these skills and applying them to marketing and sales data to create scalable multi-tenant product features.

 

What we offer

The client works and experiments on modern Big Data analytics and digital marketing technologies, which gives you a chance to go deep into an exciting rapidly developing field of data-driven marketing and sales which is also a vital part of modern product development.

 

Responsibilities

Develop product features and tools leveraging machine learning, data regression, and rules-based models for multi-tenant environment

Build data visualizations and dashboards using bi tools

Create data transformation jobs and automate data modeling features

 

Skills needed to succeed:

At least 3 years of experience in developing cloud-based applications with technologies such as Java, Java-script, C#, SQL.

Experience in one or more of the following areas: Data models, data warehousing, business intelligence, analytics, machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence

Master’s or Bachelor’s degree in software engineering, computer science or data science

Verbal and written English skills and ability to communicate technical details to business users

Overview

Localisation Helsinki
Charge de travail 40 Heures/semaine , 100% sur place
Début prévu du projet ASAP
Fin prévu du projet Ouvert
Langues nécessaires Anglais
Compétences nécessaires Analytics, C#, Java, JavaScript, SQL

Affectation fermée

Cette mission est fermée depuis le 2020-02-24 et n'accepte plus de candidats. Créez un compte pour être le premier à être informé lorsqu'une mission similaire ou d'autres missions pertinentes sont publiées sur Onsiter.

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