Data Scientist
Remote / Online - Candidates ideally in
Sheridan, Sheridan County, Wyoming, 82801, USA
Listed on 2026-10-18
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
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.
- 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.
- 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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