Quantitative Researcher Machine Learning Jobs in Dallas, TX

Job Summary:
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. They are seeking a Sr. Principal Data Scientist / Machine Learning Engineer to lead high-impact AI/ML projects, requiring a deep understanding of data science and strong client-facing communication skills.
Responsibilities:
• Serve as a primary technical expert and thought leader in Data Science and Machine Learning.
• 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.
• Architect and oversee the development of robust, scalable, and production-ready DS/ML models and solutions.
• Stay at the forefront of the latest advancements in DS/ML, especially those applicable to various industries and large-scale data problems.
• Lead end-to-end DS/ML projects, including requirements gathering, data exploration, model development, validation, deployment, and monitoring.
• Define project scope, timelines, and deliverables, ensuring successful execution within budget and schedule constraints.
• Mentor and guide junior and mid-level data scientists and ML engineers, fostering a culture of technical excellence and continuous learning.
• Drive MLOps best practices for reliable and efficient model deployment and lifecycle management.
• Act as a trusted advisor to clients and internal stakeholders, understanding their business challenges and translating them into solvable DS/ML problems.
• Effectively communicate complex analytical findings, model performance, and business recommendations to both technical and non-technical audiences.
• Manage client expectations, present progress reports, and ensure stakeholder satisfaction.
• Facilitate workshops and discovery sessions to identify new opportunities for AI/ML adoption.
• 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.
• Develop and implement models for: Predictive Analytics: Forecasting, risk assessment, and anomaly detection.
• Optimization: Improving efficiency, resource allocation, and decision-making.
• Pattern Recognition: Identifying trends, segments, and relationships within large datasets.
• Automation: Leveraging ML for intelligent process automation and enhanced operational efficiency.
Qualifications:
Required:
• 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.
• Demonstrated experience leading multiple end-to-end DS/ML projects successfully from concept to production.
• Proven track record of managing client interactions, presenting technical solutions, and influencing strategic decisions.
• Expertise in Python programming (NumPy, Pandas, Scikit-learn, Keras/TensorFlow/PyTorch).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Excellent communication, interpersonal, and presentation skills.
Preferred:
• Experience with real-time data processing and streaming analytics.
• Knowledge of various industry verticals and their unique data challenges (e.g., finance, healthcare, retail, logistics, manufacturing).
• Experience with large-scale data architectures (e.g., data lakes, data warehouses, distributed computing).
• Publications or presentations in relevant fields.
Company:
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers. Founded in 2007, the company is headquartered in Plano, USA, with a team of 201-500 employees. The company is currently Growth Stage.