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Python Data Science Jobs (NOW HIRING)

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... take the models built by our data science team and make them production ready and scalable.

Five9

OR · On-site

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

Five9

Vice President, Data Science

The data science team is very much applied - their work directly makes its way into real products ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

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How much do python data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python data science in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

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 strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, 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 field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
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Python Data Science jobs near you

Data Scientist - Sr with Security Clearance

Nalley Consulting

Arlington, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Join the Nalley Consulting team as a Data Scientist in metro Washington, D.C. Position: Data Scientist LCAT: Sr Location: Pentagon Shift: No Required clearance: Active TS/SCI clearance and CI poly
Required education: Bachelor's degree Basic Qualifications: * Combining multiple date sources into GUI (graphic user interface) and visual and geographical displays.
* Python and Tableau experience.
* 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
* 7+ years of experience with analyzing structured and unstructured data sources
* Experience with statistical and general-purpose programming languages for data analysis
* Experience with developing predictive data models, quantitative analyses, and visualization of target data sources
* Experience with leading the development of solutions to complex problems
* Experience with natural language processing, text mining, or machine learning techniques
* Experience implementing automation in processing, presenting, or manipulating data
* Active TS/SCI clearance; willingness to take a polygraph exam
* Bachelor's degree Additional Qualifications / Nice to have: * Experience in the development of algorithms leveraging Python and SQL
* Experience with developing solutions incorporating Large Language Models
* Experience with Python data science and visualization packages
* Experience with Excel MBA
* Experience with AC2SP, R, GitHub, and Palantir * An active CI polygraph
ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: * Excellent medical, dental, and vision benefits * PTO * 11 paid federal holidays * Tuition assistance * Paid military-reserve leave * Paid parental leave for birth or adoption * 401k matching up to 5 percent of the base salary * Flex time * Company-paid short-term disability, long-term disability, and life insurance.

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