1

Director Data Analyst Machine Learning Jobs in Dallas, TX

... machine learning, artificial intelligence, software engineering, statistical analysis, scientific method, etc. * Demonstrate superior collaboration with senior leadership in identifying prospective ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

New

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 ...

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 ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $138K/yr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. They are seeking an experienced Senior Machine Learning Engineer to design, develop ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $138K/yr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. They are seeking an experienced Senior Machine Learning Engineer to design, develop ...

Showing results 21-40

Director Data Analyst Machine Learning information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

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

As of Aug 7, 2026, the average yearly pay for director data analyst machine learning in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 per year, depending on experience, location, and employer.

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

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Dallas, TX? The most popular types of Data Analyst Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Director Data Analyst Machine Learning jobs in Dallas, TX? For Director Data Analyst Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Dallas, TX look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Director Data Analyst Machine Learning jobs? Cities near Dallas, TX with the most Director Data Analyst Machine Learning job openings:

Executive Director - Applied Artificial Intelligence Machine Learning

J.P. Morgan

Plano, TX

Full-time

Medical, Retirement

Posted 27 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

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 state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production 
  • Coaching other AI/ML team members towards both personal and professional success
     

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.
  • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
  • 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.â