ML Engineer/Data Scientist

Industry: Business Services
Company size: 251-10K

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Job description

A U.S.-based company that is offering businesses relevant and personalized performance enhancement and turnaround management advice services, is looking for an ML Engineer/Data Scientist. The selected candidate will be responsible for preparing data for analysis by comprehending business needs, utilizing already-existing data sources, and performing data-wrangling procedures. The company seamlessly integrates operations, performance enhancement, and value generation to best support businesses in transforming areas of stagnation into growth and achieving long-term outcomes. This position requires a significant overlap with the EST time zone. 


Job Responsibilities:

  • Showcase excellent teamwork and communication abilities while working with leads
  • Demonstrate technical capability to create models and do independent assessments
  • Work on client projects with the organization's leaders
  • Bolster the group using a precise statistical analysis and model development

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as an ML Engineer or Data Scientist
  • Demonstrable experience working with Data Analysis and Machine Learning
  • Strong understanding and experience with Python
  • Some familiarity working with SQL is desirable
  • Excellent English communication skills

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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