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Entry Level Python Data Science Jobs in San Antonio, TX

Syndicus, Inc.

Data Scientist

San Antonio, TX · Hybrid

Experience with Jupyter Notebooks, Python Data Science Libraries. * Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine ... Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics ...

IntelliGenesis LLC

Data Scientist Level 3

Boerne, TX · On-site

$92K - $126K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g., variability, sampling error, inference, hypothesis ...

IntelliGenesis

Data Scientist Level 3

Boerne, TX · On-site

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g., variability, sampling error, inference, hypothesis ...

Siri InfoSolutions Inc

Data Engineer

San Antonio, TX · On-site

$89K/yr

Develop and implement machine learning and data processing solutions using Python and related ... science, machine learning, and analytics technologies to enhance enterprise data capabilities.

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help ... Required : • Bachelor's Degree • Proficiency in Python or R • Expertise in machine learning ...

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How much do entry level python data science jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level python data science in San Antonio, TX is $52.88, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $60.05 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in San Antonio, TX? For Entry Level Python Data Science jobs in San Antonio, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in San Antonio, TX look for? The top searched job categories for Entry Level Python Data Science jobs in San Antonio, TX are:
What cities near San Antonio, TX are hiring for Entry Level Python Data Science jobs? Cities near San Antonio, TX with the most Entry Level Python Data Science job openings:
Entry Level Python Data Science jobs near you
Data Scientist

Data Scientist

Syndicus, Inc.

San Antonio, TX • Hybrid

Other

Re-posted 17 days ago

Job description

Data Scientist (Hybrid) (80007)
Data Engineer
San Antonio, TX, USMid-LevelFull-time
Description
We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets.
Requirements
Essential Job Responsibilities
  • The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past.
  • The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation.
  • To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation.
  • The candidate will work both independently and as part of a team to accomplish client objectives.
Minimum Qualifications
  • 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree)
  • Security Clearance-Current active Secret
  • Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK)
  • Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
  • Familiarity with various log formats such as JSON, XML, and others.
  • Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification.
  • Willingness to do a programming challenge during the interview process.
  • Experience with Jupyter Notebooks, Python Data Science Libraries.
  • Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.
  • Place of Performance: Hybrid work in San Antonio, TX.
Desired Skills (Optional)
  • Experience with NOSQL databases such as Accumulo a plus
  • Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production.
  • Experience with Large Language Models (LLMs)/transformer models
  • Experience with writing, updating Java API's
  • Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
  • Experience with restful API's
  • Familiarity with Agile Project team and task management environment.
  • Experience with Zoom/Team/Meet style team meetings.
Syndicus NACON provides service-oriented staffing and recruiting services to small businesses, large corporations, nonprofits, and government agencies. We pride ourselves on personal service, local market knowledge and commitment to providing great job opportunities. We specialize in contract, contract-to-hire, and direct placement positions. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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