Sr.Data Scientist-Dallas,TX Contract Position C2C

Tech Inc
Dallas, TX, United States
4 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Business Intelligence Development Big Data Continuous Integration Data Mining Monitoring of Systems Python (Programming Language) Machine Learning Performance Tuning Power BI SQL Databases Tableau (Software)
+8 more
Feature Engineering Apache Spark Parallel Computation Modularization Information Technology Machine Learning Operations Data Pipelines Databricks

Requirements

Master s/PhD degree with 3+ 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 8+ 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 Top 3 Must Have Skills: 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 Skills and Experience:

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

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