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Data Scientist

 

Data Scientist

  • JR-126347
  • Warsaw
  • Data Science, Reporting and Analytics
  • Full time
Data Scientist

Data Scientist – IT Data Science Team

Location

Warsaw, Poland or remote from Poland

Job Description

As a key member of the Equinix’s IT Data Science team you will be setting standards in designing, building, scaling and operating innovative end to end machine learning solutions as well as data collection, data wrangling and data transformation for data coming from various source systems. You will participate in building modeling pipelines for various projects and experiments. You will also be involved in design, development, implementation and maintenance of various Machine Learning solutions and data products built by our team.

Job Profile Summary

Work with various team members of Analytics and Data Science team to design, develop and deploy various ML/AI solutions. You will not only work on architecting and designing your projects but also influence the design of other projects as well.  You will also be concentrating on data discovery and researching new use cases that will bring value to the company. The role is hands on individual contributor role.

Responsibilities

  • ML/AI: You will participate in the design, development of various machine learning usecases using machine learning techniques.
  • Exploration/Experimentation: We thrive on innovation. You will be working with cutting edge of tools and technologies in our Data / Machine Learning platform. You will constantly be trying to find an optimized/better solution of solving the AI usecases. You will experiment with latest and brightest ideas and approaches.
  • Massive data: You will wrangle / examine, experiment with massive structured and unstructured data to solve machine learning problems to create value for Equinix.
  • Production deployment: You will be working closely with our data engineering team for integration and deployment of the machine learning solutions into production where your ideas will come to life.
  • Optimization: You will work on unique and different ideas to optimize solutions and achieve state-of-the-art results.
  • Collaboration: Work with cross functional teams, sometimes located at different geo locations.


 

Required

  • Computer Science fundamentals: You have earned at least a B.S. / MS in Computer Science/ Statistics/ Applied Math/ Operational Research or related degree and you have a strong ethos of continuous learning.
  • Experience: You have 3+ years of professional software development experience with languages and systems such as Python and version control (GIT), with good analytical & debugging skills.  You have 1+ years in building machine learning solutions.
  • ML/AI: You have worked on python libraries like Scikit learn and Tensorflow while developing ML/AI solutions. Knowledge about solving problems using time series, classification, regression, anomaly detetion and similar domains is required.
  • Data manipulation: Deep interest in understanding the datasets related to the projects, spot and communicate data quality issues, knowledge of different feature engineering techniques to feed models with the best possible data.
  • Languages & Tools: Experience in developing solutions in Python is a requirement. Experience in SQL is a must.  
  • Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.
  • Fluent in English.

Desired

  • Cloud environments: You have working knowledge of cloud environments like GCP (preferred), AWS or other cloud data platforms.


Successful candidate will

  • Be a talent multiplier who gets the team around them to excel
  • Be persistent, creative and driven to get results relentlessly
  • Exhibit a strong backbone to challenge the status quo, when needed
  • Exhibit a high level of curiosity, keeping abreast of the latest trends & technologies
  • Show pride of ownership and strive for excellence in everything undertaken

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Equal Employment Opportunity: 
Equinix is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

(US Applicants)

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