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Applied Computer Science Jobs in Doylestown, PA (NOW HIRING)

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

You will work on some of the most challenging problems in applied AI, combining machine learning ... Computer Science, or a related quantitative discipline. * Advanced expertise in developing and ...

You will work on some of the most challenging problems in applied AI, combining machine learning ... Computer Science, or a related quantitative discipline. * Advanced expertise in developing and ...

You will work on some of the most challenging problems in applied AI, combining machine learning ... Computer Science, or a related quantitative discipline. * Advanced expertise in developing and ...

You will work on some of the most challenging problems in applied AI, combining machine learning ... Computer Science, or a related quantitative discipline. * Advanced expertise in developing and ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

... applied to biotherapeutics cell line development. This role will leverage and develop the next ... S. in Biology, Chemistry, Computer Science, Engineering, or a related field is requited. An ...

Showing results 21-40

Applied Computer Science information

What is applied computer science?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

What are the key skills and qualifications needed for applied computer science?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What are common career advancement opportunities in applied computer science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

Are applied computer science majors still in demand?

Applied computer science majors are in high demand due to the growth of technology industries, data analysis, cybersecurity, and software development. Skills in programming languages, algorithms, and systems design increase employability across various sectors, with many roles requiring practical experience and certifications.

What are 5 careers in applied computer science?

Applied computer science offers careers such as software developer, data analyst, cybersecurity analyst, systems engineer, and machine learning engineer. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

What can you do with an applied computer science degree?

An applied computer science degree prepares individuals for roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or network administrator. Graduates can work in technology companies, finance, healthcare, or government agencies, often utilizing programming languages, data management, and problem-solving skills to develop and maintain computer systems and applications.

What job categories do people searching Applied Computer Science jobs in Doylestown, PA look for?

The top searched job categories for Applied Computer Science jobs in Doylestown, PA are:

What cities near Doylestown, PA are hiring for Applied Computer Science jobs?

Cities near Doylestown, PA with the most Applied Computer Science job openings:

Infographic showing various Applied Computer Science job openings in Doylestown, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Data Scientist, Specialist

Vangard, Inc.

Philadelphia, PA • On-site

Full-time

Re-posted 14 days ago


Job description

Responsibilities:

  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.


Qualifications:

  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI
  • Bachelor's degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a related quantitative field

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.