Все вакансии

Data Scientist / Data Engineer

InData Labs
  • machine learning
  • Python
  • database
Полный деньMid
#87934Минск По Задать вопрос

As our Data Scientist/Data Engineer you will constantly interpret business requirements to identify the problem and solution to data handling, you will work with multiple data sources and huge datasets to develop, test and deploy predictive models & integrate them into products.

Responsibilities:

  • Deal with both structured and unstructured data, implement ETL pipelines in order to prepare data for machine learning algorithms;
  • Not only solve technical tasks but understand business needs and offer appropriate solutions, data collection requirements, while describing chosen approach to non-technical people;
  • Choose proper technologies, fit machine learning models, evaluate them and deliver into production;
  • Research new tools, papers, etc in machine learning area.

Requirements:

  • Experience with predictive analytics, statistical modeling, machine learning, deep learning (working experience is desirable but pet projects or kaggle ones are also taken into consideration);
  • Hands-on experience with machine learning libraries and frameworks (python scientific stack, scikit-learn, lightgbm, catboost, xgboost, keras, tensorflow, pytorch, etc);
  • Ability to implement space and time efficient algorithms and understand which one is preferable and when;
  • Strong theoretical knowledge of machine learning or deep knowledge of mathematics and algorithms and desire to dive into machine learning;
  • Expertise in programming with Python;
  • Experience in software engineering, deployment and integration with data delivery systems and other components, building microservices, providing APIs for models access;
  • Hands-on experience with distributed databases, Apache Spark;
  • Good oral and written English for communication and reading\writing technical documentation.
  • Would be a plus:

    • Masters, Phd, or equivalent experience in Mathematics or Computer Science;
    • Data visualization skills;
    • Proficiency in any statistical analysis tool;
    • Experience with C++.
    You will work with smart people who love to solve hard problems, and who not only expect but also foster high performance. If you fit the description above, we’d love to hear from you!

Требования к кандидату

  • Опыт: 3 года
  • Технологии: machine learning, Python, database
  • Иностранные языки: Английский — Intermediate
OlgaNovikova — Ольга Новикова HR-менеджер


Авторизуйтесь, чтобы оставлять комментарии

InData Labs is a professional services firm delivering AI-powered software and technical solutions to companies who want to leverage data and machine learning algorithms for business value.

Focusing on predictive analytics, natural language processing, and computer vision, we help businesses innovate with AI, enrich customer insights, automate processes and be more cost-efficient. This is ensured by our proprietary technologies, exceptional customer care, constant investment into talent development and R&D.

In order to be prepared to meet the challenges of the future, we are building our own AI-backed products for text analytics and social media marketing.    

Join our team of world-class data scientists and data engineers, and challenge yourself with some of the most pressing analytics and engineering tasks of modern times!

Find more about us in:
Company Website - www.indatalabs.com/
Facebook - www.facebook.com/indatalabs/
LinkedIn - www.linkedin.com/company/9266968?trk=prof-exp-company-name
Medium - www.medium.com/@InDataLabs

 

Эл. почта:

Сайт: https://indatalabs.com/

Офис:

Аэродромная 38
Рейтинг компании 0.0
Отзывов 0

Другие вакансии InData Labs

Java / Scala Developer
88049 Минск До
Python Engineer
88512 Минск До
Head of Marketing
88605 Минск До

Похожие вакансии

Tech Lead / Solution architect VERV
87855 Минск До
Инженер-программист (Go + DevOps) Upsilon-It
88580 Минск До
Salesforce Developer Twistellar
85765 Минск До
Использование материалов, размещенных на сайте, разрешается при условии прямой гиперссылки на dev.by. Ссылка должна быть размещена в подзаголовке или в первом абзаце публикации.