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Manager Data Analyst Machine Learning Jobs in Lancaster, TX

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Vangard, Inc.

Data Analyst, Specialist

Dallas, TX · On-site

Expertise in SQL for data querying, performance optimization, and database management. * Proficiency in Python or R for statistical analysis, automation, and machine learning model development.

Messer Americas

Sr Analyst, Procurement-Data

Dallas, TX

$77K - $97K/yr

... spend under management, first-time invoice match rate, cost reduction, and cost avoidance, and ... Research and apply AI and machine learning solutions for procurement, advising on their adoption ...

Deloitte

Manager - Data Science / Data Lake

Dallas, TX · On-site

... data for analysis, engineer features, visualize data, or support machine learning workflows ... Data Lake - Manager Are you looking to apply cyber analytics, artificial intelligence, and security ...

Messer Americas

Sr Analyst, Procurement-Data

Dallas, TX · On-site

$77K - $97K/yr

... spend under management, first-time invoice match rate, cost reduction, and cost avoidance, and ... Research and apply AI and machine learning solutions for procurement, advising on their adoption ...

Yum

Machine Learning Engineer II

Plano, TX · On-site

... management. Responsibilities Key Responsibilities: * Collaborate with cross-functional teams ... Build robust data pipelines and infrastructure to support the training and deployment of machine ...

Yum! Brands

Machine Learning Engineer II

Plano, TX

... management. Qualifications: * Bachelor's or master's degree in computer science, engineering ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

Yum Brands

Machine Learning Engineer II

Plano, TX · On-site

... management. Qualifications: * Bachelor's or master's degree in computer science, engineering ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

MCKESSON

Manager, Data Analytics

Irving, TX

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Help shape our AI strategy by identifying where AI and machine learning can add real value, and ...

New

McKesson

Manager, Data Analytics

Irving, TX

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Help shape our AI strategy by identifying where AI and machine learning can add real value, and ...

McKesson

Manager, Data Analytics

Irving, TX

Manager, Data Analytics We're looking for someone who can sit between the business and the ... Help shape our AI strategy by identifying where AI and machine learning can add real value, and ...

Vangard, Inc.

Data Analyst, Senior Specialist

Dallas, TX

$85K - $107K/yr

Develops and manages analytical roadmaps and learning agendas to drive continuous insight ... Perform complex analyses using advanced techniques and machine learning to uncover trends and ...

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All JobsData Analyst Machine Learning JobsManager Data Analyst Machine Learning JobsManager Data Analyst Machine Learning Jobs in Lancaster, TX

Manager Data Analyst Machine Learning information

See Lancaster, TX salary details

$32.2K

$78.3K

$128.9K

How much do manager data analyst machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for manager data analyst machine learning in Lancaster, TX is $78,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $92,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What cities near Lancaster, TX are hiring for Manager Data Analyst Machine Learning jobs? Cities near Lancaster, TX with the most Manager Data Analyst Machine Learning job openings:
Manager Data Analyst Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Ascentt

Plano, TX • On-site

$100K - $137K/yr

Full-time

Re-posted 9 days ago

Job description

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring passionate builders to shape the future of industrial intelligence.
Job Title: Senior Machine Learning Engineer
Location: Ann Arbor, Michigan
Experience Level: 7+ Years
Department: Data Science / Engineering
Employment Type: Full-time
About the Role:
We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud environments. The ideal candidate will be a self-starter with strong problem-solving skills and hands-on experience in building and deploying ML models using big data technologies like PySpark and cloud platforms like Amazon SageMaker.
Key Responsibilities:
  • Design, develop, and deploy scalable machine learning models for real-world business problems using structured and unstructured data.
  • Analyze large datasets using PySpark and other distributed computing frameworks to extract insights and prepare features for ML pipelines.
  • Apply a wide range of statistical, machine learning, and deep learning techniques, including but not limited to regression, classification, clustering, time-series forecasting, and NLP.
  • Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment.
  • Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment.
  • Collaborate closely with data engineers, data scientists, and product teams to integrate models with business workflows.
  • Monitor and improve model performance, scalability, and reliability in production.
  • Contribute to setting up and maintaining the ML environment and tooling (including environment configuration, CI/CD pipelines for ML, model versioning, etc.).

Required Qualifications:
  • 7+ years of experience in machine learning, data science, or related fields.
  • Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
  • Hands-on experience with PySpark for big data processing and model development.
  • Proficient in building models on large-scale datasets (terabytes to petabytes).
  • Solid understanding of statistical analysis, probability, hypothesis testing, and experimental design.
  • Experience with Amazon SageMaker (or similar cloud-based ML platforms).
  • Strong knowledge of ML Ops practices including version control, model monitoring, and retraining strategies.
  • Familiarity with containerization (Docker) and CI/CD practices for ML projects is a plus.
  • Excellent communication skills and the ability to clearly explain complex concepts to non-technical stakeholders.

Preferred Qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
  • Experience with workflow orchestration tools (e.g., Airflow, Kubeflow).
  • Prior experience in domains like Manufacturing, finance, healthcare, or e-commerce is a plus.

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