• Direct-Hire
  • Remote

JMS Technical Solutions, Inc. as Recruiter

The Talent Source

Our client has an opening for a Remote Data Scientist

This is a full-time / direct-hire / remote position

 

Job Overview

Our client is looking for a Data Scientist that will join their existing team and participate in the development of predictive models that leverage massive amounts of data. The Data Scientist will collaborate with a team of multidisciplinary engineers and researchers to tackle challenges related to the analysis/modeling of dairy data. This role requires someone well versed in the fundamentals of data science, computer vision and machine learning.  The ideal candidate must also have the experience and problem-solving abilities necessary to extract insights and discover patterns within messy, real-world data sets.

 

Responsibilities and Duties  

  • Perform statistical analysis on data from different sources/sensors
  • Develop machine learning models for real-world problems (a product oriented approach)
  • Responsible for developing processes and tools to monitor and analyze the data quality and model performance
  • Work collaboratively with other data scientists, software developers and engineers to integrate algorithms into a complete product
  • Thoroughly test and objectively evaluate the scope of validity of any R&D deliverables
  • Responsible for enhancing the data collection procedures collaboratively with other operational teams for building the relevant predictive models.
  • Ability to understand an end-to-end product development/deployment lifecycle.

 

Qualifications & Requirements 

  • Ph.D. or Master’s degree in Computer science, Data Science, Bioinformatics, Engineering, or equivalent experience
  • 3+ years of relevant experience in the data science, computer vision and machine learning field
  • Strong programming skills in Python (must have) and/or R(a plus)
  • Experience with data analysis, computer vision and visualizations (numpy, pandas, opencv, scikit-image, matplotlib etc.)
  • Strong fundamental grasp of machine learning and deep learning concepts (Random Forests, SVMs, CNNs, LSTMs etc.)
  • Knowledge of deep learning frameworks: TensorFlow or PyTorch
  • Experience working in Linux environment
  • Knowledge and experience in statistical and data mining techniques using time series datasets, Bayesian Probability, Markov Models (HMM) is a plus
  • Experience in using AWS (S3, Sage Maker) is a plus
  • Excellent oral and written communication
  • Works effectively in small teams
  • Experience in working in an agile environment, using project management and reporting tools (e.g., Confluence, Jira etc)

 

Salary range based on experience: $110,000 – $120,000

Applicants must be authorized to work in the U.S. or Canada

We are an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws

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