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Scientist Python Jobs in Maryland (NOW HIRING)

The Data Scientist will drive mission-focused insights from complex datasets, managing and ... Python, R, STATA, SPSS, etc. • An active TS/SCI with polygraph Preferred : • Experience using ...

Python Integration Developer

Hanover, MD · On-site +1

$50 - $69/hr

Job Title: Python Integration Developer Location: Hanover, MD - Hybrid (3 days/week onsite ... Bachelor's degree in Computer Science, Engineering, or equivalent experience. Thanks Jagdish ...

Data Scientist Location: Linthicum Heights, MD Work Schedule: Full-Time Clearance Required: Active ... Use Python as a primary language to process and analyze data to help determine whether resources ...

Data Scientist

Bethesda, MD · On-site

$160 - $190/hr

The Data Scientist will drive mission-focused insights from complex data sets. This role involves ... Practical knowledge in Python Machine Learning and Data Visualization * Practical knowledge in Data ...

Senior Data Scientist

Rockville, MD · On-site

$150 - $190/hr

Work with diverse data types and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM ... Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.) * 12 ...

New

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Job Brief Python, Jupyter, Data Are you VIGILANT about your career? RealmOne definitely is ... We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data ...

Showing results 41-60

Scientist Python information

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What job categories do people searching Scientist Python jobs in Maryland look for? The top searched job categories for Scientist Python jobs in Maryland are:
What cities in Maryland are hiring for Scientist Python jobs? Cities in Maryland with the most Scientist Python job openings:

Full-time

Re-posted 13 days ago


Job description

Job Summary:
The Work-Life Group is dedicated to providing superior services and solutions across various sectors. The Data Scientist will drive mission-focused insights from complex datasets, managing and interpreting large-scale government data to support decision-making and operational success.
Responsibilities:
• Build and assess analytic models tailored to mission-specific needs
• Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods
• Develop reproducible workflows and ensure data integrity
• Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness.
• Organize, clean, and curate large datasets for analysis
• Present complex technical findings in a way that is accessible to technical and non-technical stakeholders
Qualifications:
Required:
• Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience.
• Minimum 3+ years' relevant work experience.
• Experience with software development working with Python in a Unix environment.
• Experience using the Linux command line.
• Practical knowledge in Python Machine Learning and Data Visualization.
• Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Pandas and PySpark.
• Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc.
• An active TS/SCI with polygraph
Preferred:
• Experience using the Atlassian Tool Suite or other Continuous Integration/Continuous Development (CI/CD pipeline).
• Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS.
• Working knowledge with other object-oriented programming languages such as Java or C++.
• Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.)
Company:
We help companies strengthen their HR operations to support strategic growth and long-term resilience. Founded in 2023, the company is headquartered in Boston, MA, US, , with a team of 2-10 employees. The company is currently Early Stage.