Data Scientist

• Execute large-scale models using advanced analytical, modeling, and machine learning techniques
• Create and support a cloud-based data science solution as part of the data intelligence team
• Create scalable, efficient, automated processes for data analysis and machine learning models
• Work closely with data engineers and product managers to turn data analysis into actionable algorithms
• Champion a data-driven culture and develop data science capabilities
• Create standards and procedures for data science teams
• Provide direction for strategic plans and product roadmaps
• Inform requirements related to creating, tracking, collecting, and accessing data
• Analyze and protect data, including troubleshooting
• Follow data science best practices
• Fulfill the technical lead role for data science solutions
• Respond to escalated incidents and engage vendors as necessary
• Conduct research and evaluate emerging trends
• Aid and mentor teammates

• Master's degree required
• 12 years of relevant professional experience, including eight years supporting product development activities and guiding technology decisions
• Experience with machine learning algorithms, including Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, and NLP
• Expert knowledge of machine learning libraries such as scikit-learn, Tensor Flow, and Keras
• Significant experience with data mining and statistical analysis
• Experience leading exploratory analysis with large datasets
• Ability to lead knowledge discovery and machine learning model development
• Established track record with data wrangling and data transformation
• Expert coding ability in an advanced coding language such as Python
• Senior-level understanding of statistics and mathematics
• Ability to work with large, complex datasets using SQL or Python
• Quantitative aptitude and ability to gather and interpret data
• Comprehensive knowledge of multiple fields of specialization
• Expertise in automation and deployment
• Experience in a structured, enterprise-scale operational environment on a global scale with thousands of users
• Exceptional written and verbal communication, including explaining complex concepts to non-technical audiences
• Ability to mentor and train peers
• Strong understanding of supported business processes
• Troubleshooting ability under pressure and ability to resolve complex problems
• Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy
• PhD degree preferred
• Ability to meet physical requirements such as sitting for long periods and using computer monitors/equipment

Demonstrates expertise in machine learning algorithms and advanced analytical techniques, with a strong ability to lead data science initiatives and mentor teams. Proficient in creating scalable data solutions and automating processes while ensuring adherence to best practices in data science.

• Machine Learning Algorithms
• Expert Knowledge of Scikit-learn
• Advanced Coding in Python
• Data Wrangling and Transformation
• Statistical Analysis

• Machine Learning Algorithms
• Data Mining
• Statistical Analysis
• Data Wrangling
• Data Transformation
• Automation and Deployment
• SQL
• Deep Learning
• Natural Language Processing
• Quantitative Aptitude

• Exceptional Communication
• Mentoring Ability
• Troubleshooting Under Pressure

• Master's Degree
• PhD Degree Preferred

• Data Science Best Practices
• Data-driven Culture
• Product Development Activities
• Enterprise-scale Operational Environment

• Tensor Flow
• Keras
• Cloud-based Data Solutions