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Data Science Jobs in Converse, TX (NOW HIRING)

... science activities. * Develop and maintain robust data pipelines that support the ingestion, transformation, and storage of test data from diverse instrumentation sources, ensuring high data ...

Senior Data Scientist

San Antonio, TX · On-site

$140 - $190/hr

Our data-rich environment allows you to use your knowledge and experience in data science on complex data sets and provide customers with useful information and insight. As a Data Scientist in IG ...

Citizenship required . * 9+ years of relevant experience in data science, data engineering, analytics, or related field * Bachelor's degree in a technical field (or additional experience in lieu of ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information ...

Senior Data Scientist

San Antonio, TX · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their ...

Data Scientist, Senior

San Antonio, TX · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their ...

Staff Data Scientist

San Antonio, TX · On-site

$120 - $160/hr

Mathematics, Engineering, Data Science or Computer Science or related field. * 10+ years of experience in programming & data mining. * Able and willing to work on‑site, in‑person at the Valero ...

Mathematics, Engineering, Data Science or Computer Science or related field. * 10 years of experience in programing & data mining. * Able and willing to work on-site, in-person at the Valero San ...

Data Scientist 3

San Antonio, TX · On-site

$138.10 - $153.50/hr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language, e.g. Python ...

Mathematics, Engineering, Data Science or Computer Science or related field. * 10+ years of experience in programing & data mining. * Able and willing to work on-site, in-person at the Valero San ...

Showing results 21-40

Data Science information

See Converse, TX salary details

$34.1K

$111.5K

$178.4K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Converse, TX is $111,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,500.00 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 Converse, TX? The most popular types of Data Science jobs in Converse, TX are:
What are popular job titles related to Data Science jobs in Converse, TX? For Data Science jobs in Converse, TX, the most frequently searched job titles are:
What cities near Converse, TX are hiring for Data Science jobs? Cities near Converse, TX with the most Data Science job openings:
Infographic showing various Data Science job openings in Converse, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $111,457 per year, or $53.6 per hour.

$100K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Description

Who we are:

At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.


What we do:

Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation's toughest challenges and our ability to exceed expectations.


Why ANS:

At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let's ensure today is safe and tomorrow is smarter.

Requirements

  • Active TS/SCI clearance with Polygraph
  • A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Desired Qualifications:

  • Working knowledge of Big Data, dataflows, and ML/AI familiarity
  • Working knowledge of Jupyter notebooks
  • Working knowledge of Spark

Responsibilities include, but are not limited to:

  • Working knowledge of statistics, programing and predictive modeling
  • Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
  • Design and implement machine learning, data science and advanced analytical algorithms
  • Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

Benefits:

ANS offers excellent compensation along with a generous benefits package to include:

  • Family Medical, Dental (w/ adult orthodontia) and Vision coverage
  • Pet Discount Program
  • PTO (Paid Time Off)
  • Maternity/ Paternity Leave
  • Supplemental Military Leave Pay
  • 11 Paid Holidays
  • 401(k) plan with 6% Company Contribution
  • Generous Professional Development Program
  • 100% Employer paid Short- and Long-Term Disability
  • 100% Employer paid Life Insurance
  • Supplemental Whole Life Insurance
  • Lucrative Referral Bonus Program
  • Annual Allowance for ANS Swag
  • Potential for Paid Overtime
  • Flexible Work Schedules

Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.


As required by local law, Applied Network Solutions, Inc. provides reasonable salary ranges of compensation for work performed in applicable states. Ranges are not a guarantee of compensation and depend on a variety of factors, including but not limited to contractual requirements, work location, years of experience, skill set, and education. Overtime is not guaranteed for this position. The anticipated pay range for this position is $100,000.00 - $165,000.00 USD.