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Scientist Python Jobs in Owings Mills, MD (NOW HIRING)

Leidos

Data Scientist

Fort George G Meade, MD

$107K - $195K/yr

Leidos is seeking an experienced Data Scientist to join a multidisciplinary team of mission-focused ... Proficiency in Python and C/C++ (or similar languages). * Experience with data visualization tools ...

Leidos

Data Scientist

Fort George G Meade, MD

$107K - $195K/yr

Leidos is seeking an experienced Data Scientist to join a multidisciplinary team of mission-focused ... Proficiency in Python and C/C++ (or similar languages). * Experience with data visualization tools ...

Leidos

Senior Python Developer

Columbia, MD · On-site

$131K - $237K/yr

Bachelor's degree in computer science, Software Engineering, Computer Engineering, or related field * Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

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Scientist Python information

See Owings Mills, MD salary details

$36K

$117.9K

$188.7K

How much do scientist python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scientist python in Owings Mills, MD is $117,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

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 Owings Mills, MD look for? The top searched job categories for Scientist Python jobs in Owings Mills, MD are:
What cities near Owings Mills, MD are hiring for Scientist Python jobs? Cities near Owings Mills, MD with the most Scientist Python job openings:
Scientist Python jobs near you

Senior Data Scientist

Kendrit Consulting Group

Baltimore, MD • On-site

$70 - $80/hr

Full-time

Re-posted 2 days ago

Job description

Seeking a Senior Data Scientist (NLP) to join our team in Woodlawn, MD supporting a large federal agency. This role requires deep expertise in Natural Language Processing (NLP) and Generative AI. In this role, you will bridge the gap between complex algorithmic research and scalable production systems. You will not only build sophisticated language models but also act as a technical leader, translating intricate data insights into strategic business decisions and collaborating closely with cross-functional teams.
*This is a permanent role expected to be onsite 5 days a week.
Primary Responsibilities:
· Apply expertise in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs.
· Query and analyze complex transactional data using SQL.
· Understand real world challenges and develop automated data solutions.
· Develop, test, and deploy new techniques for NLP understanding.
· Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models).
· Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
· Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
· Collaborate with data collectors and analysts to identify and close gaps in complex monitoring problems.
· Provide accurate, timely, complex, and sophisticated data analysis.
· Train and optimize NLP/LLM models and create Python based pipelines.
· Build cloud native solutions on AWS.
Minimum Qualifications:
· Ability to obtain and maintain a Public Trust clearance is required.
· Master's with 10+ years, Bachelor's 12+ years, or 18+ years of relevant experience.
· Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science and industry experience in Python, SQL, NLP (spaCy/NLTK), and LLM engineering.
· Experience with Generative AI and Large Language Models (LLMs)
· Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
· Expertise with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
· Fluent in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
· Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), and AWS EC2.
· Experience with scalable data frameworks (Apache Spark) and workflow orchestration tools (Apache Airflow).
· Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
· Proficient in extracting and manipulating data from diverse sources, including SQL databases (DB2, Oracle, SQL Server), Hadoop, and flat files.
· Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.).
· Experience with NLP and Generative AI libraries (e.g., spaCy, LangChain), text annotation, and semantic frameworks.
· Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.
· Excellent analytical skills to identify potential risks and propose effective solutions.
· Ability to clean and process large amounts of real-world data.
Desired Qualifications:
· Prior experience delivering IT projects within federal or state government sectors is highly preferred.
· Experience with or a willingness to learn distributed processing via the Hadoop ecosystem (Spark, Impala, Hive).
· Experience in parallel processing such as GPU programming with CUDA.
· Experience with Natural Language Processing for anomaly detection.
· Experience using markup languages such as LaTeX, HTML, etc.
· Experience with Mathematica.