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Python Data Analysis Jobs in Silver Spring, MD (NOW HIRING)

Sr. Python Developer

Mclean, VA ยท On-site

$51.50 - $71/hr

... developing analytics software applications, Demonstrated knowledge of: * Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid ...

Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ... data analytics. * Familiarity with various log formats such as JSON, XML, and others. * Must be ...

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Python Data Analysis information

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$13

$60

$89

How much do python data analysis jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python data analysis in Silver Spring, MD is $60.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $68.85 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

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

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Silver Spring, MD? The most popular types of Python Data Analysis jobs in Silver Spring, MD are:
What are popular job titles related to Python Data Analysis jobs in Silver Spring, MD? For Python Data Analysis jobs in Silver Spring, MD, the most frequently searched job titles are:
Infographic showing various Python Data Analysis job openings in Silver Spring, MD as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $126,051 per year, or $60.6 per hour.

Data Scientist with Security Clearance

Kruger Recruiting

Washington, DC โ€ข On-site

Other

Re-posted 20 days ago


Job description

We are seeking a Senior Data Scientist with a strong sense of ownership to join our Platform team. This position has career growth opportunities for those seeking to become Lead Data Scientist and/or Team Manager. As a Data Scientist, you will
Use the capabilities of our AI Platform to deploy production solutions for our customers.
Work with customer data and own the development of an AI solution from ideation to production
Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. Primary Focus: Exploratory data analysis, model selection, feature engineering, hyperparameter tuning, setting up backtesting/evaluation frameworks, and some data engineering and SWE tasks Technical Skills: Foundational knowledge in data science/ML/CS Core Strengths: Choosing appropriate models, analyzing data, communicating business insights Tech Stack: Python data science stack (e.g., pandas, scikit-learn, pytorch, plotly, etc.) Engineering Tasks: Implement model training pipelines, create plots and visualizations to communicate insights, write re-usable modeling code Collaborative Aspect: Works closely with MLEs, other data scientists, product, customer success, QA MUST HAVE: A BA or greater in Data Science or Math or equivalent.