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Data Scientist Specialist
Company name: Seargin Sp. z o.o.
Company size: 500+ people
Junior
Professional
Senior
Remote,
Job Specification
  • Remote
  • Remote

Website Seargin_ Seargin Sp. z o.o.

THE ELITE OF TOP IT EXPERTS

Seargin is looking for a Data Scientist Specialist

  • Position: Data Scientist Specialist
  • Technologies: Python, R, Hadoop, Cloud Platforms
  • Localization: Remote
  • Area: Project
  • Form of employment: B2B
  • Experience Level: Senior

Main tasks for the Data Scientist Specialist will be:
  • Working with business stakeholders throughout the organization to identify prospects for leveraging company data and driving business solutions
  • Mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop, deploy and maintain custom data models and algorithms to apply to data sets
  • Using predictive modeling to increase and optimize manufacturing processes, product quality and other business processes
  • Develop testing framework and test model quality
  • Coordinating with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Using expertise in coding, algorithms, complexity analysis and large-scale system design while keeping a results oriented approach

The Candidate should :
  • Have self-driven, autonomous, results oriented attitude
  • Enjoys solving business and technical challenges
  • Be a positive and joyful person including under stress
  • Have curiosity to explore, to learn new things and to challenge existing understandings
  • Design solutions, the end result and all the intermediate elements
  • Build solutions to be reliable, secure, sustainable and performant while remaining pragmatic in achieving the intermediate objectives
  • Have a courage to take risks, openness to admit errors and move forward by learning from errors
  • Perseverance in face of setbacks
  • Team and detail-oriented, productive and solution-oriented attitude
  • Analytical and problem solving skills
  • Great communication and interpersonal skills
  • Flexibility and ability to work independently and also in a team
  • Have knowledge about machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Be familiar with advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Have excellent written and verbal communication skills for coordinating across teams (also in English)
  • Be eager to learn and master new technologies and techniques
  • 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field

The Candidate should familiar with the following software/tools:
  • Coding knowledge and experience with languages like: C, C++, Java, JavaScript, etc..
  • Experience querying databases and using statistical computer languages to manipulate data and draw insights from large data sets: R, Python, SLQ, etc.
  • Experience using major cloud providers (for machine learning training / ML-OPS pipelines) like AWS, Azure, GCP,…
  • Be experienced in using web services: Redshift, S3, Spark, Digital Ocean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, anomaly detection, decision trees, neural networks, etc.
  • Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • visualizing/presenting data for stakeholders: Periscope, Business Objects, D3, ggplot, etc.

It would be nice if the Candidate had experience with developing and deploying machine learning models for the heavy/process manufacturing industries like cement, steel, paper, oil, mining etc.

The Candidate can expect:
  • B2B Contract
  • Challenging job in an international and multilingual environment
  • Professional development
  • Attractive and competitive compensation

If you meet requirements described above, please send your application in English (.doc) at kornelia.chrzanowska@seargin.com, stating the name of the position in a subject and/or call +48 789126279.

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    "I hereby give consent for my personal data included in my application to be processed by Seargin Sp. z o. o. for the purposes of a future recruitment processes under the Personal Data Protection Act. I provide my personal data voluntarily understanding that without it a proper recruitment process is deemed impossible.
    Your personal data is processed by Seargin Sp. z o.o. Data protection inspector can be reached via email address RODO@Seargin.com.
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    ABOUT COMPANY
    Company size: 500+
    Seargin Sp. z o.o.
    Remote, Poland
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