Lead Data Scientist
EWL powered by SyncHRoner
Lisbon, Portugal
há 4 dias
source : Just Join IT

Power BI (nice to have)

Kubernetes (nice to have)

PyTorch / TensorFlow (regular)

Docker (regular)

A / B test analyzes (regular)

Azure Machine learning (regular)

Cloud Computing (regular)

Python / R / SQL (advanced)

Location : Warsaw

Working mode : remote

Why EWL?

Established in 2007, EWL Employment Agency recruits mostly blue but also white collars from emerging markets (Asia, South America, APAC).

We are a leader in employing foreign workers offering also legalization and relocation services.

Many years of experience in staff sourcing and representation in Ukraine, East Europe, and Asia, makes us a top provider of employment services in Europe.

We provide solutions in the employment of blue and white-collars for most economy sectors in the European Union countries, including formalities related to employee support abroad.

We plan to create several technological products and we would love to tell you about it during an interview.

We have a lot of work to do together. We are a team of 400+ people from different countries more than 40% from outside Poland.

We enjoy working with each other and we believe you will too.

Apply and take the company’s development into your own hands, have a real impact on the business and the change across the organization.

You will be a key contributor for creation of Data Science foundation in EWL, working with cutting edge technology.

Your responsibilities include :

  • Conducting analytical projects concerning the operation of the entire organization, with a particular focus on user activity in the platform (recommendation models, churn models, segmentations, etc.)
  • Creating, implementing, maintaining and reporting the created models
  • Work in interdisciplinary teams to deliver business value in agile methodologies
  • High level of responsibility and autonomy
  • Substantive support for other members of the Data Science team
  • Real passion for personal growth and fostering a positive organizational culture by mentoring teammates
  • Why you?

    Basic Qualifications :

    We are looking for professionals with these required skills to achieve our goals :

  • Strong mastery of statistics and ML algorithms and identifying where they are appropriate
  • Proficiency in programming in languages such as Python, R, SQL
  • Experience working with cloud computing solutions
  • Very good working knowledge of Azure Machine Learning
  • Knowledge of frameworks such as : PyTorch, TensorFlow
  • Knowledge of performing A / B test analyzes to validate models
  • Knowledge of code versioning systems, e.g. Git
  • Knowledge of Docker, Big Data
  • confident in wrangling all types of data
  • Independence and ability to coordinate work on analytical projects
  • Ability to draw conclusions based on data and communicate to business
  • Higher education (quantitative methods, computer science, mathematics, statistics, econometrics, etc.)
  • If you have the following characteristics, it would be an advantage :

  • Knowledge of Kubernetes
  • Power BI is welcome
  • What we offer :

  • Labor migration is one of the biggest challenges in today's world. You will have an impact on what it is like in the future
  • You will participate in building the organization and will have the freedom to make decisions
  • The opportunity to engage in new investment projects
  • Great and relaxed working atmosphere based on partnership
  • Interesting, independent and challenging position
  • The possibility of shaping processes and a lot of autonomy at work
  • Training budget enabling constant improvement of qualifications and development of competencies.
  • Attractive financial conditions / competitive salary and objectives-based bonus
  • Private medical care, a Multisport card and access to the benefit platform with the purchasing budget
  • Life insurance
  • Diversity and Inclusion

    In EWL we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone.

    We’re striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives.

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