Data Scientist

  • Mobilunity
  • Switzerland
  • 13/05/2022
Full time Data Science Data Analytics Statistics Biostatistics DevOps

Job Description

Mobilunity is a Ukrainian-based and operated provider of software engineering teams. Our typical clients are European, American and Japanese startups and small-to-mid sized companies working with our teams as permanent and equal extensions to their own software departments. With our collaboration model, engineers get direct access to the client’s technical management and work hand-in-hand with their peers both on the client’s side and in Ukraine. We as the Vendor ensure all non-tech questions are solved in a supportive manner. Joining Mobilunity you will get the best from both worlds – strong support and a big community locally, and an ambitious international team.
On behalf of our Client from Switzerland we are looking for a Data Scientist for a long-term engagement.
Our Сlient is a Swiss company operating in the mobile app space. They offer a full suite of products and services for App Market Data and Mobile App Intelligence. Bringing a unique combination of technical and business skills together, company provides their customers with a thorough analysis of the latest developments on the app stores and mobile industry. They are a truly international team with an innovative and fast-paced company culture.
As a Data Scientist, you are someone who is passionate about processing and understanding large data sets, in particular data about mobile apps. You will be responsible for building and maintaining data pipelines and turn raw data into valuable insights. This role involves contributing to the entire stack, working with DevOps and other Data Scientists to build applications and algorithms. The best match for this position would be someone with extensive hands-on experience, who can collaborate in a team of engineers but also work autonomously where needed.
Responsibilities:
  • Identifying relevant data sources for business needs
  • Building predictive models
  • Building machine learning algorithms
  • Enhancing the data collection process
  • Analysing data for trends and patterns and to find answers to specific questions
  • Assess quality of data and remove or clean data
  • Generating information and insights from data sets and identifying trends and patterns
Requirements:
  • 3+ years of work experience as a Data Scientist
  • Experience with Amazon Web Services (e.g. ECS, EMR Spark, RDS, Redshift, Beanstalk)
  • Expert knowledge of Python
  • Self-motivated, team player comfortable in a small, intense and high-growth start-up environment
  • Experience with huggingface, TF-IDF, regression analysis, CNN
  • Fluent English
Will be a plus:
  • Good abilities in DevOps
  • Ability to identify and resolve performance issues
  • Proficiency in more than one programming language (Java, Python, Bash)
  • Strong SQL/Elasticsearch skills
  • Experience designing data models and data warehouses
  • Experience with Google Vision
In return we offer:
  • The friendliest community of like-minded IT-people
  • Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
  • Mobilunity Medical Insurance program designed to attend our teams’ needs
  • Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
  • Fair salary and 100% taxes coverage – don’t worry about possible taxes raise – we will get you covered
  • Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
  • No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones on all of the 3 floors
  • English classes in 1-to-1 & group modes with elements of gamification
  • Neverending fun: sports events, tournaments, music band, multiple affinity groups
COME ON BOARD, AND LET’S GROW TOGETHER!