Ascentt

Ascentt

Sr. Principal Data Scientist / Machine Learning Engineer

Plano, TX · Principal

Sponsorship not specifiedDetected 16 days ago
PythonAlgorithmsSQLAWSGCPAzureCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPySparkData AnalysisData ScienceNLPComputer VisionMLOpsStatisticsForecastingLogisticsProcess Improvement

About the role

  • We're looking for an exceptionally skilled and experienced Sr.
  • The ideal candidate will have a deep understanding of data science and machine learning tools, techniques, and algorithms, coupled with a proven track record of successfully leading projects from conception to deployment.

Responsibilities

  • Define and drive the technical strategy for AI/ML initiatives, identifying high-value opportunities for optimization, predictive analytics, and process improvement across diverse use cases.
  • Project Leadership & Delivery: Lead end-to-end DS/ML projects, including requirements gathering, data exploration, model development, validation, deployment, and monitoring.
  • Drive MLOps best practices for reliable and efficient model deployment and lifecycle management.
  • Manage client expectations, present progress reports, and ensure stakeholder satisfaction.
  • Use Case Development & Problem Solving: Lead the identification, prioritization, and execution of complex AI/ML use cases that drive significant business impact.
  • Apply deep analytical skills to dissect complex problems, derive actionable insights from data, and design innovative solutions.

Requirements

  • This role demands strong client-facing communication skills and the ability to translate complex technical concepts into tangible business value.
  • Proficiency in data manipulation, SQL, and working with large, complex datasets from various sources.
  • Strong understanding of statistical modeling, experimental design, and hypothesis testing.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
  • Preferred Qualifications Experience with real-time data processing and streaming analytics.

Nice to have

  • Experience with real-time data processing and streaming analytics.
  • Experience with large-scale data architectures (e.g., data lakes, data warehouses, distributed computing).
  • Publications or presentations in relevant fields.

Benefits

  • Deep understanding and practical application of various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning, time series analysis, NLP, computer vision).
  • Qualifications Master's or Ph.D. in Data Science, Machine Learning, Computer Science, Engineering, Operations Research, Statistics, or a related quantitative field.
  • 8+ years of progressive experience in Data Science and Machine Learning roles, with at least 3-5 years in a leadership or principal-level capacity.
  • Knowledge of various industry verticals and their unique data challenges (e.g., finance, healthcare, retail, logistics, manufacturing).
  • Technical Leadership & Strategy: Serve as a primary technical expert and thought leader in Data Science and Machine Learning.
  • Mentor and guide junior and mid-level data scientists and ML engineers, fostering a culture of technical excellence and continuous learning.
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This listing is sourced directly from Ascentt's careers page and normalized into a canonical job model.