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Data Analyst Data Scientist Jobs in Texas (NOW HIRING)

They are seeking a Growth Data Scientist to analyze complex datasets, collaborate with teams, and drive insights that enhance their advertising platform. Responsibilities : • Dive deep into complex ...

... Science, Computer Science, or a related field • Applicants must be authorized to work for ANY ... LP Analyst is the source for independent advisory and analysis solutions for the private equity ...

They are seeking a Senior Data Scientist to analyze complex data sets and collaborate with the ML and Product teams to enhance product performance and strategies. Responsibilities : • Analyze large ...

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office. POSITION DESCRIPTION: The Data Scientist plays a key role in advancing digital innovation by developing ...

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We are looking for a Growth Data Scientist to work closely with internal and external teams to help ... The candidate should be communicative and analytical, in order to answer the complex questions that ...

We are looking for a Growth Data Scientist to work closely with internal and external teams to help ... The candidate should be communicative and analytical, in order to answer the complex questions that ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Analyzing data to uncover hidden patterns, correlations, and trends. Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks ...

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal ... Research and devise innovative statistical models for data analysis * Communicate findings to all ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full-time role ... Have a Bachelor's degree in Computer Science, Math, Statistics, Business, or related field, or ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

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Data Analyst Data Scientist information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do data analyst data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst data scientist in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Texas?

For Data Analyst Data Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Texas look for?

The top searched job categories for Data Analyst Data Scientist jobs in Texas are:

What cities in Texas are hiring for Data Analyst Data Scientist jobs?

Cities in Texas with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Data Analyst IV/ Data Scientist AI/ML Specialist

TeleWorld Solutions Inc

Plano, TX • On-site

Full-time

Re-posted yesterday


Job description

Overview

TeleWorld Solutions is seeking a Data Analyst/Data Scientist AI/ML Engineer to join our team! As a Data Analyst/Data Scientist AI/ML Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers.

TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies' turnkey design, optimization, network dimensioning, and deployment services. 

With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the world's leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions.

TeleWorld helps customers plan, design, manage, measure, and monetize opportunities throughout the network lifecycle and across every element of their network.

Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work".

Responsibilities

7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods. 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment. Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring. Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful. Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation. Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions. Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products. Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts. Communicate key findings to stakeholders using visualizations and/or other suitable methods. Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression. Able to compile analysis output and findings into a succinct story for technical and non-technical audiences. Adapt to changes in a dynamic business environment and, support management initiatives.

Qualifications

Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing. Experience with MLOPS concepts and environments such as MLFLOW a plus. Experience with basic linux administration and software development in a linux environment. Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus Must possess qualities of being curious and eagerness to learn . Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired. Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus. Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus. Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired. Must have a strong work ethic, integrity and work extremely well independently or in a team environment.

 

Join Our Veteran-Friendly Team:

Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team.

TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Employment Type: OTHER