Data Scientist

Jobtailor; Riverton (UT); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a data science leader to drive large-scale ML initiatives. You will develop scalable data solutions and automation within the data intelligence team, collaborating with engineers and product managers to convert data insights into actionable algorithms.

The role requires deep ML expertise, Python proficiency, and the ability to lead model development and deployment across an enterprise-scale environment. You will mentor teammates and shape strategic data plans.

Qualifications

• Master's degree is required, with substantial relevant experience.
• 12 years of professional experience, incl. 8 years in product development and technology decisions.
• Experience with ML algorithms including regression, decision trees, deep learning, NLP, and clustering.
• Expert knowledge of ML libraries such as scikit-learn, TensorFlow, and Keras.
• Significant experience with data mining, statistics, and exploration of large datasets.
• Strong coding ability in Python and advanced statistics knowledge.
• Ability to lead ML model development and knowledge discovery.
• Experience in data wrangling, transformation, and enterprise-scale deployments.
• Excellent communication and mentoring abilities.

Responsibilities

• Execute large-scale models using advanced analytical, modeling, and ML techniques.
• Create and support cloud-based data science solutions within the data intelligence team.
• Develop scalable, automated data analysis and ML processes.
• Collaborate with data engineers and product managers to translate analysis into actionable algorithms.
• Champion a data-driven culture and enhance data science capabilities.
• Provide direction for strategic plans and product roadmaps.
• Lead data requirements and access for data initiatives.
• Mentor teammates and guide knowledge discovery and deployment.

Skills

Machine Learning Algorithms

Python

Statistical Analysis

Data Wrangling

Data Transformation

Advanced Coding

SQL

NLP

Deep Learning

Mentoring

Education

Master's degree

PhD preferred

Tools

TensorFlow

Keras

scikit-learn

Job description

• 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

Requirements

• 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, TensorFlow, 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

Core Competencies

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.

Highest-signal resume keywords

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

ATS Optimization Keywords

Hard Skills

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

Soft Skills

• Exceptional Communication
• Mentoring Ability
• Troubleshooting Under Pressure

Certifications & Qualifications

• Master's Degree
• PhD Degree Preferred

Industry Keywords

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

Tools & Technologies

• TensorFlow
• Keras
• Cloud-based Data Solutions