Data Science Analyst

Overview

On Site
USD 50.00 - 60.00 per hour
Full Time

Skills

Data Science
Collaboration
Cloud Computing
Project Planning
Analytical Skill
SQL
Software Development
Python
Pandas
NumPy
Problem Solving
Machine Learning (ML)
scikit-learn
PyTorch
TensorFlow
Logistic Regression
Time Series
Modeling
Statistics
Predictive Modelling
Decision Trees
Version Control
GitHub
Privacy
Marketing

Job Details

Location: The Colony, TX
Salary: $50.00 USD Hourly - $60.00 USD Hourly
Description: Our client is currently seeking a Data Scientist who excels in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions. If you thrive in a dynamic, collaborative setting and have a passion for end-to-end data solutions, you could be the perfect fit for our team.

This job will have the following responsibilities:

  • Collaborate with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
  • Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
  • Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques to address key business challenges and deliver actionable insights.
  • Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
  • Transition models from development to production within the organization's existing cloud ecosystem efficiently.
  • Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
  • Stay updated with the latest industry trends and tools to improve methodologies and solutions.
Qualifications & Requirements:

  • Master's degree or higher in a relevant analytical field.
  • Highly proficient with SQL.
  • Hands-on experience with software development using Python Pandas and Numpy.
  • Experience solving problems using a variety of statistical and machine learning techniques.
  • Hands-on experience using statistical or machine learning frameworks to solve real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow).
  • Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
  • Proactive approach to identifying problems and developing innovative solutions.
  • Experience with version control in GitHub.


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Contact:

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