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Director Data Analyst Machine Learning Jobs in Dallas, TX

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics solutions. * Build custom data models and algorithms to solve complex business problems. * Apply ...

New

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics solutions. * Build custom data models and algorithms to solve complex business problems. * Apply ...

New

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics solutions. * Build custom data models and algorithms to solve complex business problems. * Apply ...

New

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics solutions. * Build custom data models and algorithms to solve complex business problems. * Apply ...

New

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 responsible for the following: * Integrate data from multiple data sets, analyze and interpret ...

Dlapiper

Sr Data Analyst

Dallas, TX · Hybrid

$85K - $107K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills ...

New

Yum

Machine Learning Engineer II

Plano, TX · On-site

Build robust data pipelines and infrastructure to support the training and deployment of machine ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

Yum Brands

Machine Learning Engineer II

Plano, TX

... data streaming. * Experience working with containerization technologies such as Docker and ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

Pwc

AI & GenAI Data Scientist-Director

Fort Worth, TX · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Pwc

AI & GenAI Data Scientist-Director

Dallas, TX · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Dallas, TX

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 8, 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:
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Director Data Analyst Machine Learning jobs near you

Senior Data Scientist

Bright Vision Technologies

Coppell, TX • Remote

$160K - $180K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Scientist
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $160,000–$180,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions that support strategic business initiatives across multiple domains. In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting data-driven decision-making throughout the operational lifecycle. The successful candidate will bring deep expertise in statistical analysis, machine learning, predictive modeling, and data engineering, combined with strong hands-on experience working with large-scale structured and unstructured datasets using modern analytics platforms and cloud technologies. You will work closely with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment to deliver scalable, accurate, and impactful data science solutions that directly support strategic business outcomes.
Required Qualifications
  • Bachelor\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related quantitative discipline.
  • Five or more years of professional experience developing production-grade machine learning models, predictive analytics solutions, and enterprise data science applications.
  • Strong, demonstrable understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and end-to-end machine learning lifecycle principles.
  • Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern data science libraries for building scalable analytical solutions.
  • Hands-on, production-level experience designing, training, validating, deploying, and monitoring machine learning models, including regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications.
  • Proven experience working with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed data processing platforms such as Spark, Hadoop, Snowflake, Databricks, or BigQuery.
  • Strong SQL skills and meaningful experience performing data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting using enterprise data platforms.
  • Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model deployment pipelines, code review processes, and collaborative software development methodologies.
  • Hands-on experience deploying machine learning solutions on at least one major cloud platform (AWS, Azure, or GCP), including managed AI/ML services, storage, networking, and identity management capabilities.
  • Strong debugging, analytical thinking, problem-solving, and root-cause analysis skills, with the discipline to investigate complex data challenges methodically, communicate findings effectively, and translate analytical insights into actionable business recommendations.

Preferred Qualifications
  • Experience designing and deploying real-time machine learning systems, recommendation engines, streaming analytics, event-driven architectures, or large-scale AI applications using Kafka, Spark Streaming, or equivalent technologies.
  • Familiarity with containerization and orchestration using Docker, Kubernetes, Kubeflow, MLflow, Airflow, or equivalent platforms for production machine learning operations.
  • Exposure to advanced artificial intelligence concepts such as deep learning, reinforcement learning, computer vision, generative AI, large language models (LLMs), explainable AI (XAI), model fairness, and responsible AI practices.
  • Experience implementing automated testing, model monitoring, feature stores, experiment tracking, data governance, MLOps best practices, and continuous machine learning delivery pipelines within enterprise Agile software development environments.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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