Data Scientist

Overview

Hybrid
Depends on Experience
Full Time

Skills

Machine Learning
Python
SQL
SnowPark
Matplotlib
Hypothesis testing
Data Preprocessing

Job Details

  • Strong data science & Machine Learning development experience
  • Data Collection:
    • Gather, clean, and preprocess data from various sources.
    • Proficiency in Python; SQL, SNOWPARK for database queries
  • Feature Engineering:
    • Identify and create features that improve model performance.
    • Strong understanding of statistical analysis and hypothesis testing.
    • Experience with Pandas, NumPy and data preprocessing.
  • Exploratory Data Analysis (EDA):
    • Explore data to understand its structure, spot anomalies, and inform model selection.
    • Skills in Matplotlib, Seaborn.
  • Model Development:
    • Design, implement, and optimize machine learning models.
    • Knowledge of algorithms, model evaluation, and libraries like scikit-learn and TensorFlow.
  • Experimentation: Design and run experiments to validate hypotheses and refine models.
  • Collaboration: Work closely with business stakeholders to translate problems into data-driven solutions.
  • Reporting: Prepare reports and presentations to share results and recommendations.
  • Documentation: Document processes and create technical guides.

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