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Data Scientist

Remote / Online - Candidates ideally in
Sheridan, Sheridan County, Wyoming, 82801, USA
Listing for: Stellans LLC
Full Time, Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

We’re looking for a skilled Data Scientist to join our team. You’ll develop and deploy advanced machine learning models, analyze large datasets, and uncover insights to drive business outcomes. Working closely with cross-functional teams, you’ll identify opportunities, prototype solutions, and deliver scalable models.

Key Responsibilities:
  • Develop and deploy machine learning models using tools like scikit-learn, XGBoost, PyTorch, and Tensor Flow.
  • Analyze datasets to identify trends and patterns that drive business value.
  • Collaborate with product managers, engineers, and stakeholders to define and achieve project goals.
  • Design experiments, evaluate model performance, and optimize algorithms.
  • Implement and optimize data preprocessing, feature engineering, and training pipelines.
  • Evaluate external data sources to enhance datasets and improve model accuracy.
  • Create data visualizations and dashboards to communicate insights.
  • Stay updated on trends and best practices in data science and AI.
Qualifications:
  • Degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
  • Experience in data science, machine learning, and predictive modeling.
  • Proficiency in Python and its data science libraries (e.g., scikit-learn, pandas).
  • Experience with machine learning frameworks like XGBoost, PyTorch, Tensor Flow.
  • Strong understanding of statistical concepts and data preprocessing techniques.
  • Excellent problem-solving and communication skills.
Preferred Qualifications:
  • Experience deploying models in production environments.
  • Familiarity with deep learning and neural networks.
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud) and containerization (e.g., Docker).
  • Competitive salary, bonuses, and comprehensive insurance.
  • Retirement savings plan with matching contributions.
  • Flexible schedule and remote work options.
  • Professional development and tuition reimbursement.
  • Collaborative and inclusive company culture.
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