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Senior Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Ph.D. or master's in Computer Science, Proficient in applied statistics and data mining, Knowledgeable in machine and deep learning, Experienced in deploying AI solutions to cloud, Fluent in English (C1) for communication.

Key responsabilities:

  • Implement and support predictive models
  • Provide analytical support in machine learning pipeline
  • Work with full-stack data and model deployment
  • Create organized, error-free programs
  • Compile and interpret analysis results for stakeholders
SoftServe logo
SoftServe Information Technology & Services XLarge https://www.softserveinc.com/
10001 Employees
See more SoftServe offers

Job description

WE ARE

SoftServe is a global digital service and consulting company founded in 1993. We work on 2,000+ projects with clients in the USA, Europe, APAC, and LatAm regions. SoftServians help transform, accelerate, and optimize how our clients, including ISVs and Fortune 500 companies, do business. In January 2022, we started our operations in Latin America. We committed to growing our local community and investing in the market.

Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science, and Experience Design.

IF YOU ARE

  • Qualified with a Ph.D. or master's degree in Computer Science, or a related field
  • Proficient in applied statistics and data mining
  • Knowledgeable of SoTA in machine and deep learning, and their application to solving complex problems
  • An expert in more than one data science specialization: NLP, time series analysis, recommender systems, and others
  • Aware of AI project software development lifecycles and MLOps processes
  • Experienced in deployment of AI solutions to at least one cloud environment
  • Accustomed to complex projects where independent judgment is used for defined procedures and practices
  • Easily translating complex concepts to a non-technical audience in a meaningful way
  • Fluent in English (C1) to cover presentations and verbal and written communication
  • Skilled in Big Data solutions and advanced data tools in Cloud Platforms (nice to have)
  • Building and operationalizing Machine Learning models: data manipulation, experiment design, developing analysis plans, and generating insights (would be a plus)


AND YOU WANT TO

  • Implement and support predictive models
  • Apply data mining techniques
  • Provide analytical support in the pipeline of machine learning models operationalizing process
  • Work with the full-stack data analysis, deep learning, and machine learning models pipeline including deep analysis of customer data, modeling, and deployment in production
  • Provide decision-making regarding relevant computational tools for study, experiment, or trial research objectives
  • Create clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
  • Present results directly to stakeholders and gather business requirements
  • Compile and interpret analysis results as well as contribute to the proposals and architecture vision delivered to the customer


TOGETHER WE WILL

  • Gain certifications from leading providers (Google, AWS, Azure, Nvidia and others)
  • Participate in international events
  • Work with the latest modern tools and technologies on different projects with a flexible schedule
  • Have access to strong educational and mentorship programs
  • Collaborate with the world-leading companies from our logos portfolio






SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Decision Making
  • Analytical Thinking
  • Verbal Communication Skills

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