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Python Data Scientist Jobs (NOW HIRING)

Syndicus, Inc.

Data Scientist

San Antonio, TX · Hybrid

Data Scientist (Hybrid) ( 80007) Data Engineer San Antonio, TX, USMid-LevelFull-time Description We ... Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ...

Virtualitics, Inc

Data Scientist

Washington, DC · On-site +1

Degree in Computer Science. * 3+ years of experience writing production ready code in Python. * 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib ...

Vitol

Python Data Engineer

Houston, TX

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Vitol

Python Data Engineer

Houston, TX · On-site

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Experience developing, training, and deploying enterprise-level machine learning models and data science solutions using Python. * Proven experience building and maintaining large-scale data ...

Yext

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

You'll work with frontier LLMs, SQL, and Python to collect data, filter and transform data, train ... We are seeking data scientists excited to discover opportunities in data across a wide variety of ...

Real Soft, Inc.

Data Scientist

San Antonio, TX · On-site

Citizenship required . * 9+ years of relevant experience in data science, data engineering ... Strong experience with Python (data manipulation, scripting, analytics) * Experience working with ...

Purple Drive

Python, Data Engineer, AWS

Columbus, OH · On-site

$107K - $128K/yr

Python, Data Engineer, AWS Key responsibilities * Develop and maintain data pipelines Build, test ... Collaborate with stakeholders Work with data scientists, analysts, and other teams to understand ...

NS2 Mission

Data Scientist

Virginia Beach, VA · On-site

Join NS2 Mission as a Data Scientist , where you'll play a crucial role in unlocking the power of ... Strong expertise with Python and leveraging a variety of Python data analysis packages to include ...

Syntelligent Analytic Solutions

$107K - $115K/hr

Experience with Python data science and visualization packages * Experience with Excel MBA * An active CI polygraph Online applications, please. When we review candidates' information, we are looking ...

IntelliGenesis

Senior Data Scientist

Boerne, TX · On-site

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... The Python scripts will use supervised and unsupervised ML (both text and image-based machine ...

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

Imaging Data Scientist Location: Johnston, IA 50131 Locals only within 50-mile required onsite T/W ... Solutions will be developed primarily in Python, integrated with our repositories and workflow ...

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Python Data Scientist information

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How much do python data scientist jobs pay per year?

As of Jul 2, 2026, the average yearly pay for python data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
More about Python Data Scientist jobs
What cities are hiring for Python Data Scientist jobs? Cities with the most Python Data Scientist job openings:
What states have the most Python Data Scientist jobs? States with the most job openings for Python Data Scientist jobs include:
What job categories do people searching Python Data Scientist jobs look for? The top searched job categories for Python Data Scientist jobs are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in the United States as of June 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Syndicus, Inc.

San Antonio, TX • Hybrid

Other

Posted 5 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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