Data Scientist

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salary Tallinn, Estonia
salary Relocation: No
salary Fulltime, Flexible

About the Company

R8 Tech R8 Technologies is established in 2017 and we are in the seed stage. The headquater is based in Tallinn.
The team currently consists of 14 employees which form four high-level teams and are doing daily operations: Global Sales, Customer Success, R8 Engine and IT Systems/Process Automation.
The office is located in Ülemiste Lõõtsa 8a, Tallinn.

The company has great potential and very ambitious growth plans.
We hope to grow 3 times during 2021-2023 and explore the Unicorn potential by 2027.

The R8 solution is specially designed for premium-class real estate owners and facility managers with high indoor climate comfort requirements, sustainability goals and a low tolerance for system failures.
We are a SaaS company and improve buildings climate comfort and energy savings by developing and applying AI-powered Autopilot.


Company size: 15+

Language: English

The Role

R8 is looking for a savvy Data Scientist to join our product development team. The employee will be responsible for performing data analysis and modelling related to HVAC in commercial buildings.
The ideal candidate has an industrial machine learning experience who can also deploy ML algorithms and build statistical models.

The Data Scientist will be working with software engineers on extracting the most value through structured large datasets to improve employed algorithms.
Must be self-directed and comfortable exploring new solutions.

The technical stack of the project:
Microservices/monolith architecture – mixed (multiple projects between 300 – 15k lines)
Build tools (build time/compile-time) – Miniconda/Anaconda
Gitlab CD/CI
Databases (SQL and NoSql) - SQL
Source control systems – Gitlab (in our own server)
Frontend: Javascript, React
Backend: Python

Requirements

The company is looking for a candidate with 3+ years of experience in a Data Scientist role, who has a Bachelor’s or Master’s degree in:
Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

  • Professional SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Advanced working Python knowledge and experience with Machine learning libraries (TensorFlow, Scikit, etc.)
  • Experience with technical quantitative analytics, statistical analysis, prediction modelling
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with structured/unstructured large datasets
  • Good understanding of machine learning techniques and algorithms, such as ANN, Decision Forests, Regression Analysis, etc.
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Good understanding of buildings automation and/or HVAC systems (Plus)

Responsibilities

  • Assemble large, complex data sets that meet functional/ non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Managing the labelling, training, evaluation of our data to keep our models performing at their best as new data sources are added to our system
  • Improving automated fault detection algorithms and monitoring systems
  • Work with data and analytics experts to support control algorithms

Benefits

  • Motivating compensation
  • Flexible working hours
  • No large corporate hustle
  • Full-time contract


More details and fast-track pass to the interview: Email: jelena@ittalent.ee
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More details and fast-track pass to the interview: Email: jelena@ittalent.ee