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Python Data Scientist Jobs (NOW HIRING)

... Python and SQL • Experience with engineering AI solutions, including accessing Large Language ... data science and visualization packages Company : Booz Allen Hamilton is a consulting firm that ...

Data Scientist LCAT: Senior Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Data Scientist (Hybrid) Data Engineer Columbia, MD Description We are looking for a talented Data ... Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ...

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 ...

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 ...

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 ...

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 ...

Associate Data Scientist

Washington, DC

$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 ...

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

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 ...

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 ...

Experience with Python data science and visualization packages Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

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Python Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do python data scientist jobs pay per year?

As of Jun 11, 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.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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:
Infographic showing various Python Data Scientist job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is seeking a Data Scientist to help unlock insights from complex data sets. The role involves working closely with clients to analyze structured and unstructured data, developing algorithms, and providing actionable insights to address global challenges.
Responsibilities:
• Work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle.
• Guide teammates and lead the development of algorithms and systems.
• Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients as they make informed decisions.
• Provide a deep understanding of the data, what it all means, and how it can be used.
Qualifications:
Required:
• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 5+ years of experience analyzing structured and unstructured data
• 3+ years of experience with statistical and general-purpose programming languages for data analysis
• Experience wrangling data from disparate databases and APIs for analysis
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Experience leading the development of solutions to complex problems
• Experience with natural language processing, text mining, or machine learning techniques
• TS/SCI clearance with a polygraph
• Bachelor’s degree
Preferred:
• Experience in the development of algorithms leveraging Python and SQL
• Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self-hosting LLMs, fine-tuning LLMs, or implementing Model Context Protocol
• Experience developing production-quality machine learning models or pipelines
• Experience with distributed data or computing frameworks such as Apache Spark, Hadoop MapReduce, or HPCC ECL
• Experience with Python data science and visualization packages
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914