Data Scientist

Select Minds LLC
Dallas, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 156K

Job location

Remote
Dallas, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Computer Programming
Data Structures
Data Visualization
Python
Machine Learning
NumPy
Cloud Services
TensorFlow
SQL Databases
Tableau
Google Cloud Platform
PyTorch
Large Language Models
Model Validation
Generative AI
Pandas
Matplotlib
PySpark
Scikit Learn
Information Technology
XGBoost
Plotly
Streamlit Framework
Data Pipelines
Software Library

Job description

  • Hybrid work model: primarily remote within the Dallas-Fort Worth area.
  • Occasional on-site presence required for meetings, training, or business needs.
  • Limited business travel may be required.

Requirements

Do you have experience in SQL databases?, Do you have a Bachelor's degree?, 6+ years of experience in Machine Learning and Data Science.

  • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
  • Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
  • Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
  • Experience in building Asynchronous Python APIs.
  • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
  • Proven experience in developing and deploying machine learning models in a production environment.
  • Experience working with large datasets and performing data analysis, * Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience., * Advanced experience in data science, machine learning, AI, or optimization projects.
  • Proficiency in Python and SQL.
  • Strong understanding of statistical methods, experimental design, and model validation.
  • Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
  • Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).

Preferred Experience

  • Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
  • Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.

Skills & Abilities

  • Ability to independently manage and deliver on complex projects.
  • Strong problem-solving and critical thinking skills.
  • Effective communication skills for both technical and executive audiences.
  • Ability to adapt quickly to changing priorities and new technologies.
  • Strong interpersonal and collaboration skills.

Benefits & conditions

  • Competitive salary
  • Opportunity for advancement
  • Training & development

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