Senior Data Scientist

Project overview

Minimum Qualifications Education & Prior Job Experience

Master s/PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)

Experience with Python programming language

Practical experience with data extraction, cleaning, and analysis

Depth of knowledge in statistical and machine learning techniques

Preferred qualifications Education & Prior Job Experience

10+ years of experience in a technical professional environment, in addition to the minimum requirements

Experience with SQL and data visualization (Tableau, PowerBI)

Practical experience designing, building and deploying machine learning models

Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure)

Domain knowledge in the airline industry

Experience working in a consulting role

Skills, Licenses & Certifications

Ability to effectively communicate both verbally and written with all levels within the organization

Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving

Ability to view data from different angles to employ feature engineering techniques to better represent models

Ability to work on a diverse team with diverse skillsets

Requirements

1.MS or PhD in Data Science, Computer Science, Statistics, or related field

2.Strong Python expertise (production-grade coding, modularization, testing, performance tuning)

3.Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)

Nice to have

Job Facts: Contract W2 | Contract Independent | Contract Corp To Corp | 1 Year | Travel Required | On-site | $60 - $65/hr

Skills: Data Extraction, Machine Learning (ML), Databricks, Performance Tuning, Python, SQL, Data Visualization, Apache Spark, Computer Science, Data Science, Microsoft Power BI, Orchestration, Continuous Delivery, Conflict Resolution, Cloud Computing, Applied Mathematics, Continuous Integration, Microsoft Azure, Motivation, Optimization, Parallel Computing, Statistics, Problem Solving, Tableau, Testing

Reference: Dice Id: 90891672 | Position Id: 11010

• Experience with Databricks / Spark-based ML pipelines
• Proficiency in SQL and working with large-scale datasets
• Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)

Project details

• Start: flexible
• Remote: onsite
• Location: Dallas, TX, US, US