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Data Science Jobs in Temple, TX (NOW HIRING)

Data Analyst

Waco, TX · Hybrid

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

* Use multiple vendor programs to query and extract data for analysis * Maintain datasets using Oracle/SQL * Integrate automation, ETL/ELT of data, and perform exception handling * Create, maintain ...

Use multiple vendor programs to query and extract data for analysis Maintain datasets using Oracle/SQL Integrate automation, ETL/ELT of data, and perform exception handling Create, maintain, and ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Showing results 21-40

Data Science information

See Temple, TX salary details

$34.8K

$114K

$182.6K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Temple, TX is $114,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,300.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Temple, TX? The most popular types of Data Science jobs in Temple, TX are:
What cities near Temple, TX are hiring for Data Science jobs? Cities near Temple, TX with the most Data Science job openings:
Infographic showing various Data Science job openings in Temple, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $114,028 per year, or $54.8 per hour.

Full-time

Retirement, PTO

Re-posted 7 days ago


General Dynamics Information Technology rating

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Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

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Job description

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REQ#: RQ221484Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.

Job Description

Advance how our customers operate while you advance your career. Join GDIT as a Systems Engineer and build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you.

GDIT has an exciting opportunity for a System Engineer (SE) to support the U.S. Army Europe and Africa in West Fort Hood, TX. The SE will serve as the Chief Architect and Technical Lead for the III Armored Corps Sensor Integration & Data Fusion Lab (SID-FL). The SID-FL Manager is the technical and operational authority responsible for building and running a state-of-the-art innovation hub designed to solve the Army's most pressing intelligence data challenges.

The successful candidate will be a "player-coach"a hands-on technical expert who also possesses the project management acumen to guide a complex, multi-stakeholder initiative. This individual will work directly with Soldiers, government civilians, and industry partners to rapidly integrate emerging sensors, validate data-centric architectures, and test next-generation AI/ML algorithms.

The ultimate purpose of this role is to accelerate the delivery of combat-ready, data-dominant capabilities to the warfighter, with a specific focus on supporting the U.S. Army Europe-Africa (USAREUR-AF) Eastern Front Deterrence Initiative (EFDI)

MEANINGFUL WORK AND PERSONAL IMPACT

As the SID-FL Manager, the work youll do at GDIT will be impactful to the mission of U.S. Army Europe and Africa. You will play a crucial role in delivering new intel capabilities to the warfighter. The SID-FL Managers responsibilities/duties (divided into four primary functions):

  • Technical Management and Systems Integration (50%): Serve as the lead technical authority for the lab, designing and maintaining the multi-enclave (IL2 to IL6) data architecture. Lead the hands-on technical integration of new sensors (UAS, HAPS, ground, etc.), working with vendors to ensure compliance with the Army's Integrated Sensor Architecture (ISA) standard. Manage the lab's cloud infrastructure (AWS, Azure, Google) in coordination with the Enterprise Cloud Management Agency (ECMA). Install, configure, integrate, and operate middleware and data fabric software to enable data flow across disparate systems. Collaborate with Corps entities to ensure that sensor data is retrievable and presentable in a manner consistent with supporting a commanders visualization on Army command and control systems. Develop and test Cross-Domain Solutions (CDS) to ensure secure data transfer between security enclaves. Integrate machine learning and large-language models with sensor data.

  • Project Management and Stakeholder Engagement (25%): Develop and maintain the overall project plan, budget, and schedule for the SID-FL. Serve as the primary point of contact for all lab activities, briefing senior leaders within III Armored Corps, DAMI-ST, and relevant PEOs on progress, risks, and results. Coordinate and de-conflict activities between a wide range of stakeholders, including military personnel (intelligence formations, targeteers, operations personnel, and the communications community), commercial vendors, and academic partners. Plan and execute "Soldier Touch Point" events, validation exercises, and technology demonstrations. Implement and maintain laboratory protocols and both safety and regulatory standards. Be prepared to travel (up to 10% per year) in support of stakeholder engagement opportunities.

  • Test, Evaluation, and Doctrinal Development (15%) - Design and oversee a rigorous test and evaluation methodology to capture empirical data on sensor and software performance (e.g., latency, accuracy, bandwidth usage). Manage the lab's AI/ML proving ground, working with data scientists to test, train, and validate algorithms on real-world data feeds. Collaborate with analysts and operators to develop and document new Tactics, Techniques, and Procedures (TTPs) for employing integrated sensor and data capabilities.

  • Reporting and Knowledge Management (10%) - Synthesize test results and operational feedback into comprehensive reports and data-driven acquisition recommendations. Present insights in a compelling and accessible manner using data visualization tools such as Tableau, Power BI, or Palantirs Foundry platform. Establish and maintain a knowledge repository for all tested systems, integration guides, and TTPs developed in the lab.

WHAT YOULL NEED TO SUCCEED

The SID-FL Manager must have:

  • Education: Bachelor's degree in a technical field such as Computer Science, Data Science, Systems Engineering, or a related discipline. (Relevant experience may be substituted).

  • Security clearance level: Top Secret Clearance with SCI eligibility

  • Experience: 8+ years of proven experience in systems integration, data engineering, or a related technical field within the DoW or Intelligence Community.

  • Certifications: A current IAT II Certification is required at time of hire

  • Technical skills: ; Proficiency in TypeScript, Python, and SQL; Demonstrated hands-on experience with cloud computing platforms (AWS, Azure, or Google Cloud) and services (e.g., S3, EC2, RDS, Synapse); Strong understanding of data standards and formats (e.g., JSON, XML), API integration, and network fundamentals; Proven project management experience, with a demonstrated ability to lead complex technical projects with multiple stakeholders; Experience in technical laboratory management or operations.

  • Desired Qualifications: Master's degree in a relevant technical field; Project Management certification (PMP, DAWIA, ScrumMaster) or Data Science Certification (CAP, SDS); Direct experience with military sensor systems (e.g., EO/IR, SIGINT, RADAR) and their data formats; Experience with spectrum management, electronic warfare platforms, wave forms, and telemetry data; Experience with air defense and target acquisition radar, Link 16, and unmanned systems; Experience with the Integrated Sensor Architecture (ISA), UCS, or other DoW data standards; Hands-on experience with containerization (Docker, Kubernetes) and infrastructure-as-code (e.g., Terraform, CloudFormation); Familiarity with Army intelligence platforms (e.g., AIDP, Palantir Foundry, Maven Smart Systems, TITAN) and tactical networks; Experience working in a multi-enclave DoW environment and familiarity with Cross-Domain Solutions (CDS); Exceptional communication skills, with the ability to brief complex technical topics to both senior general officers and junior analysts.

  • US citizenship required

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

  • Growth: AI-powered career tool that identifies career steps and learning opportunities

  • Support: An internal mobility team focused on helping you achieve your career goals

  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

  • Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore an enterprise IT career at GDIT and youll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward.


#GDITRecruiting
#GDITArmy

Work Requirements
Years of Experience

8 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

CompTIA SecAI+ | CompTIA - CompTIA

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans


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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US