Data Scientist

3 months ago


San Antonio, United States Syntricate Technologies Full time
Job Title: Data Scientist (Client Infrastructure)
Location: San Antonio, TX
Type: Contract

Competencies: Digital : Data Science, Digital : Python for Data Science
Role Description:
  1. Client Infrastructure Development:
  • Design and develop the Client infrastructure, including data ingestion, storage, and management systems.
  • Implement and maintain version control systems for Client models and datasets.
  • Develop and deploy automated Client workflows using tools such as TensorFlow, PyTorch, or Scikit-learn.
  1. Model Deployment:
  • Collaborate with data scientists to develop and deploy Client models into production environments.
  • Ensure the smooth operation of deployed models by monitoring performance and identifying potential issues.
  • Implement model serving infrastructure using tools such as TensorFlow Serving or Hugging Face Transformers.
  1. Data Management:
  • Develop and maintain data ingestion, storage, and management systems for Client workflows.
  • Ensure the quality and integrity of data used in Client models by implementing data validation and cleaning processes.
  • Implement data security measures to protect sensitive data.
  1. Monitoring and Optimization:
  • Develop and maintain monitoring and logging systems for Client workflows.
  • Identify potential issues with deployed Client models and work with data scientists to resolve them.
  • Implement optimization techniques to improve the performance of Client models in production.
  1. Collaboration and Communication:
  • Work closely with cross-functional teams, including data scientists, software engineers, and DevOps engineers.
  • Develop and maintain documentation for Client infrastructure and workflows.
  • Present findings and recommendations to stakeholders through clear and effective communication.

Desirable Skills:
  • Programming: Python, R Programing, Power BI, MySQL Server, Tableau, MS Excel
  • Tools : NumPy, Pandas, Sklearn, Seaborn, Matplotlib, PyTorch, Statsmodels, NLTK
  • Techniques : Time Series Analysis, Linear Regression, Random Forest, Decision Tree, Descriptive Statistics,Exploratory Data Analysis (EDA), Data Preprocessing, Statistical Analysis, Machine Learning, Deep Learning
  • Soft Skills : Problem Solver, Self-learner, Communication, Adaptability, Creativity, Time Management, Presentation Skills, Conflict Resolution, Stress Management

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