Data Scientist

San Antonio, TX, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • R
  • SQL
  • Python Programming
  • R Programming
  • SQL Programming
  • Statistics
  • Statistical Analysis
  • Probability
  • Linear Algebra
  • Statistical Modeling
  • Machine Learning
  • Predictive Modeling
  • Classification Algorithms
  • Regression Algorithms
  • Optimization Algorithms
  • Model Training
  • Model Validation
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Data Analysis
  • Exploratory Data Analysis
  • EDA
  • Data Cleaning
  • Data Preprocessing
  • Data Wrangling
  • Data Collection
  • Data Transformation
  • Data Visualization
  • Tableau
  • Power BI
  • Reporting Dashboards
  • Analytical Reporting
  • Model Maintenance
  • Model Testing
  • Model Monitoring
  • Model Updating
  • Model Evaluation
  • Structured Data
  • Unstructured Data
  • Data Integration
  • Data Quality Management
  • Business Analysis
  • Data Driven Decision Making
  • Stakeholder Collaboration
  • Business Intelligence Insights

Summary

Data Scientist

Location: San Antonio, TX

Experience Required - 7+ Years

Must Have Technical/Functional Skills

  • Programming: Proficiency in Python, R, and SQL.
  • Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
  • Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.

Roles & Responsibilities

  • Model Maintenance: Testing, validating, and updating models to ensure accuracy and relevance over time.
  • Data Collection and Preparation: Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and usability.
  • Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends.
  • Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks like classification, regression, and optimization.
  • Data Visualization and Reporting: Using tools (e.g., Tableau, Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.
  • Collaboration and Strategy: Working with business leaders to identify goals, define problems, and suggest data-driven improvements.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: mategr
  • Position Id: TAR-15
  • Posted 12 hours ago
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