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Scientist Python Jobs in Westminster, MD (NOW HIRING)

Senior Security Engineer

Owings Mills, MD

$109K - $149K/yr

... Python-based automations, and GitLab automations with Infrastructure as Code (IaC) gates ... Bacheloras degree in Computer Science, Information Security, Engineering, or a related technical ...

... Python-based automations, and GitLab automations with Infrastructure as Code (IaC) gates ... Bachelor's degree in Computer Science, Information Security, Engineering, or a related technical ...

Sr. AI Software Engineer

Owings Mills, MD

$116K - $154K/yr

Bacheloras or Masteras degree in Computer Science or a related technical field, or equivalent ... Proficiency with Python and common AI/ML frameworks and libraries. * Experience integrating AI ...

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt ... Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field. \n * Masters or ...

... science outputs into impactful decision-support tools. Qualified candidates are eligible for ... Proficiency with object-oriented languages (JAVA, JavaScript, Python) and experience with Jupyter ...

Showing results 41-60

Scientist Python information

See Westminster, MD salary details

$36K

$117.9K

$188.8K

How much do scientist python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scientist python in Westminster, MD is $117,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,700.00 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 Westminster, MD look for? The top searched job categories for Scientist Python jobs in Westminster, MD are:
What cities near Westminster, MD are hiring for Scientist Python jobs? Cities near Westminster, MD with the most Scientist Python job openings:
Infographic showing various Scientist Python job openings in Westminster, MD as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $117,948 per year, or $56.7 per hour.

Sr. AI Software Engineer

T. Rowe Price Associates, Inc.

Owings Mills, MD • On-site

$117K - $155K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

Role Summary

As a Sr. AI Software Engineer on the Global Marketing and Digital Enablement team, you will be responsible for designing, developing, modifying, and implementing innovative solutions to address both immediate and long-term information technology needs. This includes working with new and existing applications, systems, databases, and infrastructure.

You will play a key role in creating and deploying autonomous AI systems, partnering with cross-functional squads, supporting the Build-Operate-Transfer process, and helping scale responsible AI solutions across the organization.

Your responsibilities will include reviewing and interpreting system requirements, analyzing business processes, and coding, testing, debugging, and implementing robust software solutions.

This role is well suited for engineers with strong software fundamentals passionate about solving complex problems, building reliable systems, collaborating across disciplines, and contributing to the standards and practices that shape the next generation of software engineering at T. Rowe Price.

Responsibilities

  • Lead projects or work streams, providing guidance and expertise to your team.
  • Take ownership of your work and, at times, oversee the work of others, offering advice on processes and standards within your area of specialization.
  • Work independently, serving as a resource for colleagues with less experience.
  • Design, build, test, and deploy AI agents and intelligent systems for modern, cloud-based, n-tier architectures.
  • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and deliver actionable insights.
  • Promote engineering excellence by applying best practices in AI development, continuous integration, and code quality.
  • Contribute to projects focused on agent orchestration, prompt engineering, and real-time, data-driven automation.
  • Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
  • Proactively identify opportunities to leverage AI agents for increased business value and operational efficiency.
  • Serve as a domain expert throughout the software lifecycle (coding, testing, deployment), leading significant components of development projects.
  • Help develop and promote standard methodologies within your group.
  • Lead code reviews and actively provide feedback on designs and code.
  • Take responsibility for technical debt in your own work.
  • Lead small project teams as needed.
  • Tackle complex problems systematically and make tactical versus strategic trade-offs.
  • Adapt solutions as new information or ideas emerge.
  • Mentor junior team members, providing support and building their confidence.
  • Support colleagues with suggestions to improve practices and processes.

Business Knowledge

  • Collaborate closely with business stakeholders and product owners to understand priorities, shape solution direction, and deliver practical outcomes.
  • Bring a strong product mindset to technical decision-making, balancing innovation, scalability, risk, and long-term maintainability.
  • Operate effectively in a highly collaborative environment where engineers work side by side with cross-functional partners to solve meaningful business problems.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 5+ years of professional software engineering experience building applications in an object-oriented language such as Java, Python, or JavaScript.
  • Hands-on experience with cloud-native architectures, containerized microservices, and modern software delivery practices.
  • Hands-on experience designing, developing, and deploying AI/ML-enabled software solutions in a production environment.
  • Proficiency with Python and common AI/ML frameworks and libraries.
  • Experience integrating AI capabilities, APIs, or models into enterprise applications.
  • Understanding of software engineering best practices, including testing, scalability, security, and maintainability for AI-enabled systems.
  • Hands on experience with AI-enabled systems, intelligent workflows, and emerging automation technologies.
  • Experience building or contributing to production or near-production applications, platforms, or intelligent workflows in complex enterprise environments.
  • Familiarity with modern engineering patterns such as API integration, event-driven services, observability, monitoring, and scalable system design.
  • Strong analytical, problem-solving, and software design skills.
  • Commitment to engineering quality through automated testing, code reviews, observability, and continuous delivery.
  • Strong collaboration and communication skills, with the ability to work across engineering and business teams to shape effective solutions.
  • A product mindset, learning agility, and comfort operating in a fast-evolving technology landscape.

Preferred:

  • Experience contributing to reusable platform components or shared engineering capabilities.
  • Experience with React and/or Angular.
  • Understanding of financial markets, asset management, or financial instruments.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

WHAT TO EXPECT AFTER APPLYING
1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes
2. If you are eligible, you will be asked to record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 20-30 minutes

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$121,000.00 - $206,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$133,000.00 - $227,000.00 for the location of: Washington, D.C.
$151,000.00 - $258,000.00 for the location of: New York, California

Placement within the range provided above is based on the individual's relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.

Benefits

We value your goals and needs, at work and in life. As an associate, you'll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.

Featured employee benefits to enrich your life:

  • Competitive compensation

  • Annual bonus eligibility

  • A generous retirement plan

  • Hybrid work schedule

  • Health and wellness benefits, including online therapy

  • Paid time off for vacation, illness, medical appointments, and volunteering days

  • Family care resources, including fertility and adoption benefits

Learn more about our benefits.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

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