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Executive Data Science Analytics Jobs in Texas (NOW HIRING)

SWBC

Data Scientist II

San Antonio, TX · On-site

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

SOSi

Data Scientist with Security Clearance

El Paso, TX · On-site

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

SWBC

Data Scientist II

San Antonio, TX · On-site

The Data Scientist II will work closely with senior team members to design, build, and deploy data ... science, analytics, or machine learning roles. • Proficiency in Python and SQL, with working ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Strong communication skills to influence executives, translating complex analysis into compelling ...

Gartner

Director, Data Science

Irving, TX · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Strong communication skills to influence executives, translating complex analysis into compelling ...

Socket.dev

Architect, Data Science

Arlington, TX · On-site

$155 - $190/hr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... executives. Note: This position is not eligible for work sponsorship at this time. Primary ...

New

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Bachelor's degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field with 5+ years of experience in data science, analytics, machine learning ...

Ci

Data Science and Analytics Manager

Austin, TX

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

Wells Fargo

Data Science Director

Irving, TX · On-site

Wells Fargo is seeking a Data Science Director to lead a broad, strategic analytics portfolio ... Provide executive leadership for Fargo analytics , measuring discovery, engagement, containment ...

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Executive Data Science Analytics information

What is the difference between Executive Data Science Analytics vs Data Scientist?

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

Is data science analytics a high paying job?

Data science analytics roles, including positions like Executive Data Science Analytics, are generally considered high-paying within the tech and data industries. Salaries depend on experience, location, and skills such as proficiency in Python, R, or machine learning tools, but they typically offer competitive compensation compared to many other fields.

What jobs can I get with an executive data science analytics degree?

An executive data science analytics degree prepares individuals for senior roles such as Data Science Director, Analytics Manager, or Chief Data Officer, focusing on leadership, strategic decision-making, and advanced analytics skills. These roles often require experience with tools like Python, R, and SQL, as well as strong business acumen and project management capabilities.

What is an executive data science analytics?

An executive data science analytics role involves leading data analysis projects to inform strategic decision-making within an organization. It requires strong skills in data modeling, visualization, and communication, often utilizing tools like Python, R, or Tableau, and typically involves overseeing teams or initiatives at a high level.
What are the most commonly searched types of Data Science Analytics jobs in Texas? The most popular types of Data Science Analytics jobs in Texas are:
Executive Data Science Analytics jobs near you

Data Scientist II

SWBC

San Antonio, TX • On-site

Full-time

Medical, Retirement

Re-posted 14 days ago

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

SWBC is seeking a talented individual who will contribute to the development of machine learning models, analytical solutions, and AI-driven capabilities that directly impact business performance and client outcomes. This role works closely with the Senior Data Scientist, Analytics Engineers, and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to independently lead analyses and model development projects with minimal guidance, while contributing to the broader AI strategy of the organization.
Why you'll love this role:
In this role, you will work hands-on with cutting-edge tools and platforms every day, including Hex for experimentation, Omni for AI context development powering Clara, and SWBC Intelligence our multi-model AI orchestration platform spanning AWS Bedrock and AWS Sagemaker to build and deploy intelligent solutions for internal and client-facing use cases. We offer a collaborative environment that values continuous learning, empirical rigor, and professional growth.
Essential duties include the following:
  • Design, develop, and deploy machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection.
  • Contribute to the development and enhancement of Clara, SWBC's AI decision assistant, including supporting context engineering within Omni, prompt development, and model evaluation workflows.
  • Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning.
  • Develop and deploy AI/ML solutions within SWBC Intelligence, the enterprise multi-model AI orchestration platform, leveraging AWS Bedrock and AWS Sagemaker as directed by senior team members.
  • Conduct exploratory data analysis and feature engineering using data sourced from SWBC's governed medallion architecture (Bronze - Silver - Gold) in Snowflake.
  • Participate in the platform's Evaluation Harness process, including test case development, model benchmarking, and scoring framework contribution to ensure solution quality.
  • Perform AI experimentation and prototyping within governed sandbox environments, including Snowflake Sandbox and Hex, ensuring adherence to data privacy and compliance requirements.
  • Apply Responsible AI principles, including bias detection, model explainability, and fairness monitoring, to all model development activities.
  • Collaborate with cross-functional teams including Analytics Engineering, Data Management, and business stakeholders to translate business problems into data science solutions.
  • Communicate findings, model results, and recommendations to both technical and non-technical audiences through clear documentation, visualizations, and presentations.
  • Stay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture.

Serious candidates will possess the minimum qualifications:
  • Master's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline. Equivalent professional experience (5+ years) may be considered in lieu of an advanced degree.
  • Minimum of two (2) years of progressive experience in data science, analytics, or machine learning roles.
  • Proficiency in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent.
  • Experience developing and deploying models within cloud-based AI/ML platforms, preferably AWS (SageMaker, S3) and Snowflake.
  • Familiarity with MLOps tools and practices, including MLflow, experiment tracking, and model versioning.
  • Proficiency in Hex for data science experimentation and prototyping.
  • Understanding of statistical modeling, hypothesis testing, and experimental design.
  • Ability to work with structured and semi-structured data, perform data cleaning, and conduct exploratory analysis.
  • Strong communication skills with the ability to present findings to both technical and non-technical audiences.
  • Ability to interpret ambiguity and work with minimal direction on defined project scopes.
  • Ability to lift 20 lbs. of files, supplies, documents, or other related items.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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