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neurohire.ai

Data Scientist

Data SciencePosted on Nov 6
Full-timeRemote in USA$80k - $100kRemote

About the Job

Requirements

  • A Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related technical field is required.
  • 0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role is required.
  • Strong programming knowledge in Python and familiarity with data science libraries such as Pandas, NumPy, and Scikit-learn are required.
  • A solid understanding of statistics, probability, linear algebra, and mathematical fundamentals is required.
  • Familiarity with supervised and unsupervised machine learning concepts is required.
  • Understanding of data preprocessing, data cleaning, feature engineering, and exploratory data analysis is required.
  • Proficiency in SQL for querying, joining, filtering, and analyzing datasets is required.
  • Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is required.
  • Understanding of regression, decision trees, random forests, clustering, and classification algorithms is required.
  • Familiarity with Jupyter Notebook, Google Colab, or similar development environments is required.
  • A basic understanding of model evaluation, validation techniques, and performance metrics is required.
  • Familiarity with Git and GitHub for version control and collaborative development is required.
  • The candidate must be able to interpret complex data and communicate findings clearly.

Responsibilities

  • Collect, clean, process, and analyze large datasets from multiple sources to identify patterns, trends, and insights.
  • Perform exploratory data analysis to understand data distributions, relationships, and potential business opportunities.
  • Develop, train, test, and evaluate machine learning models to solve analytical and predictive problems.
  • Apply statistical techniques and mathematical methods to interpret data and support evidence-based decisions.
  • Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
  • Build predictive models, classification algorithms, regression models, and other machine learning solutions.
  • Work with SQL databases to extract, manipulate, and analyze structured data.
  • Create data visualizations, reports, and presentations to communicate analytical findings.
  • Evaluate model performance using appropriate metrics and recommend improvements.
  • Collaborate with software engineers, data analysts, and cross-functional teams to translate business requirements into analytical solutions.
  • Assist in developing and improving data processing and machine learning workflows.
  • Maintain documentation of datasets, analytical methodologies, experiments, and model results.
  • Stay updated with emerging data science techniques, machine learning technologies, and industry best practices.

Desired Qualifications

  • Academic projects, internships, or personal projects involving data science, machine learning, or predictive analytics are preferred.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch is preferred.
  • A basic understanding of Natural Language Processing and generative AI concepts is preferred.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform is preferred.
  • Familiarity with model deployment, APIs, or machine learning pipelines is preferred.
  • Experience participating in data science competitions or working with real-world datasets is preferred.

About the Company

neurohire.ai

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