Data Scientist

4 weeks ago

Old Toronto, Canada Zortechsolutions Full time
Role: Data Scientist

Location: Remote/Canada

Duration: 3 Months

Job Description

Job Description:

  • We are looking for a hands-on machine learning practitioner to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to the server
  • The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Soft Skills

  • Excellent Communication skills, Self-driven and innovative

Responsibilities

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Analyzing the business case and selecting appropriate ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Identifying Key-risks of the proposed ML solution and proposing strategies to solve them
  • Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems
  • Design, develop and evaluate highly innovative models for predictive learning
  • Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation

Skills

Mandatory/ Must-Have:

  • Understanding basic statistical models e.g. Linear regression, Logistic regression, SVM, Random forest, etc
  • Proficiency with one of the top deep learning frameworks such as TensorFlow, Torch, or Keras
  • Proficiency with Python and basic libraries for machine learning such as sci-kit-learn, pandas, NumPy, etc
  • Experience in any one of the visualizing and manipulating big datasets. Understanding of mat-plot-lib, seaborn, etc
  • Hands-on experience in developing machine learning, deep learning, statistical modeling, and/or other related modeling techniques
  • 4 + years of hands-on experience in data preparation, data wrangling, model training, model validation, deployment, and familiarity with Linux
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