Senior Data Scientist

Remote in Grand Prairie, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
12 Months
No Travel Required
On-site
$60 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Natural Language Processing
  • Keras
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Good Clinical Practice
  • Google Cloud Platform
  • Data Science
  • Data Visualization
  • Databricks
  • Deep Learning
  • Conflict Resolution
  • Continuous Delivery
  • Continuous Integration
  • Machine Learning Operations (ML Ops)
  • Cloud Computing
  • Collaboration
  • Communication
  • Apache Hadoop
  • Apache Spark
  • Artificial Intelligence
  • Big Data
  • Advanced Analytics
  • Algorithms
  • Amazon Web Services
  • Statistical Models
  • Prompt Engineering
  • PyTorch
  • Python
  • Regression Analysis
  • SQL
  • Microsoft Power BI
  • Predictive Analytics
  • Problem Solving
  • R
  • Tableau
  • Analytical Skill
  • Clustering
  • Data Collection
  • Microsoft Azure
  • Optimization
  • TensorFlow
  • Testing
  • Unstructured Data
  • matplotlib
  • scikit-learn

Summary

Job Title: Senior Data Scientist

Experience: 10+ Years
Job Type: W2 Contract

Job Description

We are looking for an experienced Senior Data Scientist with 10+ years of experience in designing, developing, and deploying advanced machine learning models, statistical solutions, and data-driven applications. The ideal candidate should have strong expertise in Python, machine learning, deep learning, statistical modeling, and big data technologies.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and business insights.

  • Design, develop, train, and deploy machine learning and predictive analytics models.

  • Apply statistical techniques, hypothesis testing, regression, classification, and clustering.

  • Develop AI/ML solutions using Python and relevant machine learning frameworks.

  • Work with structured and unstructured data to solve complex business problems.

  • Build and optimize data pipelines for data collection, preprocessing, and feature engineering.

  • Implement deep learning models using TensorFlow, PyTorch, or Keras.

  • Collaborate with data engineers, software developers, and business stakeholders.

  • Deploy and monitor machine learning models in production environments.

  • Communicate analytical findings and recommendations to technical and non-technical stakeholders.

Required Skills

  • 10+ years of experience in Data Science, Machine Learning, and Advanced Analytics.

  • Strong programming experience in Python, R, and SQL.

  • Expertise in Machine Learning algorithms and statistical modeling.

  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Keras.

  • Experience with NLP, Deep Learning, and Predictive Analytics.

  • Strong knowledge of data preprocessing, feature engineering, and model optimization.

  • Experience working with large datasets and cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Knowledge of Spark, Hadoop, Databricks, or other big data technologies.

  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.

  • Understanding of MLOps, model deployment, model monitoring, and CI/CD pipelines.

Preferred Qualifications

  • Experience with Generative AI, Large Language Models (LLMs), and AI-powered applications.

  • Knowledge of NLP frameworks, transformers, and prompt engineering.

  • Experience with cloud-based machine learning services.

  • Strong problem-solving, analytical, and communication skills.

 

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: 10477291
  • Position Id: 9132491
  • Posted 1 hour ago
Contact the job poster
RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC

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