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Senior Data Scientist Budapest, Hungary or Remote

Senior Data Scientist Description

Job #: 61555
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

No less important is the safety, well-being and experience of our applicants. Therefore, until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!

DESCRIPTION


Currently we are looking for a Senior Data Scientist for our ENTERPRISE ANALYTICS Division to make the team even stronger. #DATASCIENCE #ML #COMPUTERVISION

Responsibilities

  • Identify the business problems
  • Find the right data and methods to address them
  • Build and validating analytical models
  • Present the findings in a clear and informative way
  • Convert large volumes of structured and unstructured customer data using advanced analytical solutions
  • Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions
  • Turn analyzed data into actionable insights and business value
  • Create high-quality data visualizations
  • Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters
  • Educate and train others on Data Science related matters
  • Estimate, plan and coordinate the delivery of moderate sized projects
  • Evaluate and select Data Science tools and libraries

Requirements

  • 3+ years of experience working in the Data Science field
  • 1+ years of experience leading delivery teams in the Data Science field
  • Data focused applied mathematics (statistical analysis, machine learning)
  • Decent communication / presentation skills (including working English fluency)
  • RDBMS / SQL knowledge
  • Programming experience (Python preferred)
  • Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc
  • Big Data stack; Spark / MLlib
  • Proficiency with at least one of the Cloud providers
  • Experience with Data Science solutions productionalization
  • Bachelor’s / Master’s Degree in Computer Science, Math, Applied Statistics or a related field
  • Passion for learning new techniques and methodologies
  • Willingness to go the extra mile with a strong work ethic
  • Ability to handle strict deadlines and multiple tasks

Nice to have

  • Data visualization skills
  • NLP / text mining

We offer

  • Dynamic, entrepreneurial, high speed, high growth corporate environment
  • Diverse multicultural, multi-functional, and multilingual work environment
  • Opportunities for personal and career growth in a progressive industry
  • Global scope, international projects
  • Widespread training and development opportunities
  • Unlimited access to LinkedIn learning solutions
  • Competitive salary and various benefits
  • Sport and social teams support, recreation area, advanced CSR programs

A day in the life

SALMAN TALAT
Account Manager
Toronto, Canada

IRYNA KOVALENKO
Delivery Manager
Kyiv, Ukraine

JAN MAZUREK 
Senior Business Analyst
Gdansk, Poland

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