Data Science Specialist

Published on Jul 13, 2021
Softonix

An Outsource company with office in Kyiv, Ukraine.

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Experience:
3-5 years
Job Type:
Full-Time
Remote
Specializations:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities
  • Develop and deploy predictive and generation models to improve the accuracy of our content and contact suggestion engines,
  • Use NLP, GPT2, GPT3, BERT, T5, and similar techniques to generate relevant and natural email content that can be used in sales outreach,
  • Develop and deploy various ML techniques to automate and improve current system functionality,
  • Continuously experiment and improve on feature improvements.
    To excel in this role, you should be:
  • Motivated and eager to work in a fast-paced technology startup
  • Knowledgeable and passionate about data science's application to targeted and personalized B2B advertising, sales, and marketing
  • A critical thinker with demonstrated ability to set and attain individual and team goals in complex, resource-strained environments
  • An excellent analytical and problem-solver who can communicate effectively to bridge the business and technical teams, even those who are remote
  • Excellent verbal and written communication skills

What You Should Bring
Must-have
  • In-depth understanding of the entire lifecycle of machine learning product development, from inception to production
  • 4+ years of proven experience in building suggestion engines and predictive models for sentiment analysis, content generation, and contact/lead scoring
  • 4+ years of developing and deploying ML models in R&D and production environments using NLP, GPT2, GPT Neo, GPT3, BERT, T5, and similar techniques
  • 6+ years in designing, developing, and implementing big data and/or data science applications
  • High level of Proficiency with Python, Java, SQL, SAS, Spark, Scala, R, and other programming languages
  • Solid understanding of CRM solutions (ideally Salesforce)
  • Ability to translate business challenges to practical and actionable technical solutions.
Nice-to-have
  • Master's Degree or higher in Computer Science or a related field
  • Proficiency with scalable data extraction tools
  • Implementation and operational knowledge Data and Business Intelligence Analytics tools like Tableau, Looker, Thoughtspot, etc
  • Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, sci-kit-learn, H2O, Spark MLlib, etc)
  • Experience developing, testing, and deploying APIs
  • Experience building applications based on Microservices Architecture
  • Experienced with deploying and managing infrastructures based on Docker, Kubernetes, or OpenStack, and Google Cloud Platform


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