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Manager Data Analyst Machine Learning Jobs in Coppell, TX

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

... and data version management. * Produce technical documentation, reference designs, reusable ... Strong analytical, organizational, interpersonal, and problem-solving skills. * Ability to work ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

... and data version management. * Produce technical documentation, reference designs, reusable ... Strong analytical, organizational, interpersonal, and problem-solving skills. * Ability to work ...

Motorola

Portfolio Data Analyst

Dallas, TX · On-site

Predictive Machine Learning & Advanced Data Engineering * Stochastic Risk Engineering & Code ... Prior experience in top-tier management consulting, corporate strategy, or Revenue Operations ...

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 ...

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

We look forward to learning your interests! Job Overview: The Data Analyst (SQL) will be primarily ... Provide timely, accurate and reliable management reporting and analysis of data * Create innovative ...

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 ...

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · On-site

Define data models, standards, and architecture that support reporting, analytics, machine learning ... Experience with data governance, data quality, metadata management, and enterprise analytics best ...

HCVT

Senior Data & Analytics Specialist

Fort Worth, TX · Hybrid

Define data models, standards, and architecture that support reporting, analytics, machine learning ... Experience with data governance, data quality, metadata management, and enterprise analytics best ...

Lennox International

Data Scientist II

Richardson, TX · On-site

$88K - $115K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... Data Management & Collaboration * Merge, manage, and analyze large, complex datasets. * Collaborate ...

Lennox International

Data Scientist II

Richardson, TX · On-site

$88K - $115K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... Data Management & Collaboration * Merge, manage, and analyze large, complex datasets. * Collaborate ...

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 ...

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Showing results 41-60

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

Manager Data Analyst Machine Learning information

See Coppell, TX salary details

$31.4K

$76.3K

$125.5K

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

As of Sep 11, 2026, the average yearly pay for manager data analyst machine learning in Coppell, TX is $76,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 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 Coppell, TX are hiring for Manager Data Analyst Machine Learning jobs?

Cities near Coppell, TX with the most Manager Data Analyst Machine Learning job openings:

Manager Data Analyst Machine Learning jobs near you

Executive Director - Applied Artificial Intelligence Machine Learning

Plano, TX • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Full-time

Medical, Retirement

This job post has expired 3 days ago. Applications are no longer accepted.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


As an Applied AI/ML Executive Director within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you.
Job responsibilities
  • Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization.
  • Design robust agent architectures combining LLM reasoning with tools, structured data, and APIs spanning state, memory, and context management, plus loop engineering (plan/act/observe, verification, termination, and fallback/escalation).
  • Engineer reliable agent-driven workflows emphasizing correctness, traceability, and control-aware behavior (guardrails, approvals, auditable decision paths).
  • Build knowledge-centric reasoning layers, including knowledge graphs and hybrid retrieval (RAG + graph + structured sources) to improve grounding and accuracy.
  • Drive specification-driven development: author specs and contracts (schemas, validators, tool/skill interfaces) and build evaluation/regression harnesses.
  • Advance agent quality via recursive self-improvement through automated evaluation and critique loops, red-team feedback, skill/prompt instruction optimization, and outcome-driven dataset curation (human-in-the-loop as needed).
  • Coach and mentor AI/ML team members, setting a high bar for engineering rigor and research depth.

Required qualifications, capabilities, and skills
  • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field.
  • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities , and skills:
  • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
  • Knowledge in search/ranking, Reinforcement Learning or Meta Learning
  • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
  • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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