Data Scientist

Remote • Posted 7 hours ago • Updated 1 hour ago
Contract Corp To Corp
Contract W2
Remote
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Job Details

Skills

  • aws
  • sql
  • python
  • TABLEAU
  • power BI
  • GCP
  • AI
  • Azure AI

Summary

Job Title: Data Scientist
Location: Remote
Job Summary:
We are seeking a talented and results-driven Data Scientist with strong experience in Machine Learning, Statistical Modeling, and Advanced Analytics. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, building scalable ML solutions, and translating business problems into data-driven insights that drive strategic decision-making.
Key Responsibilities:
  • Collect, clean, and preprocess large structured and unstructured datasets.
  • Develop, train, validate, and deploy machine learning models for business applications.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
  • Design and implement predictive, classification, clustering, and recommendation models.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
  • Build end-to-end data science pipelines and automate model training and monitoring processes.
  • Evaluate model performance using appropriate metrics and optimize models for accuracy and scalability.
  • Communicate findings and recommendations through visualizations, dashboards, and presentations.
  • Work closely with Data Engineers, Software Engineers, and Product teams to deploy solutions into production.
  • Stay updated with the latest advancements in AI, Machine Learning, and Data Science.
Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • 8+ years of experience in Data Science and Machine Learning
  • Strong knowledge of statistical analysis and machine learning algorithms.
  • Experience with Python and data science libraries such as:
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow/Keras
  • PyTorch
  • Strong SQL skills and experience working with relational databases.
  • Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
  • Understanding of model deployment and MLOps practices.
  • Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Preferred Qualifications:
  • Experience with Generative AI and Large Language Models (LLMs).
  • Knowledge of NLP, Computer Vision, or Deep Learning frameworks.
  • Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with Spark, Databricks, or distributed computing frameworks.
  • Relevant certifications in Data Science, Machine Learning, Azure AI, AWS ML, or Google Cloud Platform AI.
Technical Skills:
  • Python
  • SQL
  • R (Optional)
  • Machine Learning:
  • Supervised Learning
  • Unsupervised Learning
  • Time Series Forecasting
  • Deep Learning
  • NLP
  • Feature Engineering
  • Model Evaluation & Optimization
Tools & Platforms:
  • Jupyter Notebook
  • Git/GitHub
  • Azure ML / AWS SageMaker / Vertex AI
  • Databricks
  • Docker
  • Power BI / Tableau
Key Competencies:
  • Analytical Thinking
  • Problem Solving
  • Business Acumen
  • Communication & Presentation Skills
  • Stakeholder Management
  • Team Collaboration
  • Innovation Mindset
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: 10106248
  • Position Id: 2026-4428
  • Posted 7 hours ago
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