Sunday , March 26 2023

Turing Job Openings – Remote Senior Data Scientist Jobs

  • Full Time
  • PK

Website Turing

Job Summary


Turing just listed a job advertisement for Turing Job Openings – Remote Senior Data Scientist Jobs that will require candidates to work Full Time located in PK Remember to check the description thoroughly before submitting your job application form.

Job Title: Turing Job Openings – Remote Senior Data Scientist Jobs
Company Name: Turing
Job Location: PK
Job Type: Full Time
Job Category: IT Services and IT Consulting
Job Link Expiry: 2023-04-15
Posted on: Jobpicks.online

Job Details:


About the job


A live learning platform that connects students and professionals with personalized instruction for any subject on-demand is looking for a Senior Machine Learning / Data Scientist. The selected candidate will be in charge of creating prototypes that can be turned into real-time systems by engineering. The US-based purpose-driven company provides users with access to high-quality instruction and is on a mission to change the way people learn through technology. During their Series C round, the company raised more than $100mn in funding. This position requires 8+ hours overlap with the EST/PST time zone.

Job Responsibilities:

  • Create algorithmic systems that allow learners and teachers to be more personalized
  • Collaborate with product, marketing, operations, and engineering to discover problems that have a big impact and turn them into objective functions
  • Design experiments to rapidly establish causal relationships
  • Drive initiatives from conception to completion with a measurable business impact
  • Using mathematical methods, define inventive solutions to difficult challenges

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3-5+ years of relevant data science experience
  • Expertise in performing ML or statistical analyses software in R or Python
  • Competency in statistical inference, probability, machine learning (unsupervised and supervised)
  • Experience with building recommender systems and implementation with a breadth of matching algorithms is nice to have
  • Experience with Bayesian reasoning, NLP, classification, ranking systems is desirable
  • Prior experience with production models, i.e., post-deployment responsibility
  • Excellent communication skills



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