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Bs In Computer Science Jobs in Saint Charles, MO

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 3+ years of experience developing and deploying predictive models using ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of experience developing and deploying predictive models using ...

Lead Developer

Saint Louis, MO · On-site

$57.25 - $75/hr

... BS in Computer Science or related Benefits * Be part of a no drama, results oriented, high performance team with a lot of autonomy for new ideas and bringing the best solutions for our customer and ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 3+ years of experience developing and deploying predictive models using ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 8+ years of experience developing and deploying predictive models using ...

Showing results 41-60

Bs In Computer Science information

See Saint Charles, MO salary details

$53.2K

$78.2K

$92.2K

How much do bs in computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for bs in computer science in Saint Charles, MO is $78,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $88,000.00 per year, depending on experience, location, and employer.

What can you do with a BS in Computer Science?

A Bachelor of Science (BS) in Computer Science prepares graduates for a wide range of careers in technology and related fields. Common job roles include software developer, systems analyst, data scientist, cybersecurity analyst, and IT consultant. Graduates can work in industries such as finance, healthcare, education, and entertainment, or pursue advanced degrees in computer science or related disciplines. The degree equips students with skills in programming, problem-solving, and system design, which are highly sought after in today’s digital world.

What are the key skills and qualifications needed to thrive with a BS in Computer Science?

To thrive with a BS in Computer Science, you need a solid understanding of programming languages, algorithms, data structures, and software development principles, typically backed by a bachelor's degree in the field. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and common frameworks or platforms is often required. Strong problem-solving abilities, teamwork, and effective communication make candidates stand out in technical environments. These skills are crucial for building reliable software solutions, collaborating efficiently, and adapting to the rapidly evolving tech landscape.

What types of entry-level roles are commonly available to candidates with a BS in Computer Science, and how do these roles typically support career growth?

Graduates with a BS in Computer Science often find entry-level opportunities such as software developer, quality assurance analyst, IT support specialist, or data analyst. These roles typically involve working within a collaborative team, gaining hands-on experience with real-world projects, and learning from senior engineers or mentors. As you build technical skills and demonstrate reliability, there are clear pathways to advance into specialized areas like software engineering, cybersecurity, or project management. Proactively seeking mentorship and participating in cross-functional projects can accelerate professional growth within the tech industry.

What is the difference between Bs In Computer Science vs Software Developer?

AspectBs In Computer ScienceSoftware Developer
Required CredentialsBachelor's degree in Computer Science or related fieldOften requires a bachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentAcademic, research, or industry settings involving programming, algorithms, and systemsPrimarily in software development teams, coding, testing, and deploying applications
Industry UsageUsed as a foundational degree for various tech roles, including software developmentCommonly employed in tech companies, startups, and IT departments

While a Bs In Computer Science provides a broad theoretical and practical foundation in computing, a Software Developer focuses specifically on designing, coding, and maintaining software applications. Both roles often overlap in skills and work environments, but the degree offers more versatility across tech careers.

Are Bs in computer science majors still in demand?

A Bachelor of Science in Computer Science remains a highly in-demand degree, as software development, data analysis, cybersecurity, and IT roles continue to grow across various industries. Employers value skills in programming languages, problem-solving, and familiarity with tools like Python, Java, and cloud platforms, making graduates competitive in the job market.

What job categories do people searching Bs In Computer Science jobs in Saint Charles, MO look for?

The top searched job categories for Bs In Computer Science jobs in Saint Charles, MO are:

What cities near Saint Charles, MO are hiring for Bs In Computer Science jobs?

Cities near Saint Charles, MO with the most Bs In Computer Science job openings:

Infographic showing various Bs In Computer Science job openings in Saint Charles, MO as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 2% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $78,219 per year, or $37.6 per hour.

Lead Data Scientist

Perficient

Saint Louis, MO • On-site

Full-time

Life, PTO

Posted 9 days ago


Job description


We currently have a career opportunity for a Data Scientist to join our team .
Job Overview:
As a Lead Technical Consultant you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for our clients. As a member working in a team environment you will work with solution architects and developers on interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design.
We are seeking a highly analytical and results-driven Machine Learning Engineer / Data Scientist to develop and deploy predictive models that drive business outcomes and improve decision-making across the organization. The ideal candidate will combine strong machine learning expertise, data engineering skills, and business acumen to translate complex data into actionable insights.
Experience working within client's machine learning and analytics ecosystem, including AWS and dbt, will significantly accelerate onboarding and enable rapid contribution to key initiatives.
Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.
Responsibilities
  • Develop, validate, deploy, and monitor predictive and machine learning models to solve business challenges and support strategic decision-making.
  • Analyze large and complex datasets to identify trends, patterns, and opportunities for optimization.
  • Partner with business stakeholders, product owners, and cross-functional teams to understand requirements and deliver data-driven solutions.
  • Design and maintain scalable data pipelines and model workflows within cloud-based environments.
  • Perform data extraction, transformation, and analysis using advanced SQL techniques.
  • Collaborate with engineering and analytics teams to operationalize machine learning solutions and ensure production readiness.
  • Communicate analytical findings, model performance, and recommendations to both technical and non-technical audiences.
  • Contribute to best practices for data science, modeling, governance, and experimentation.

Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 3+ years of experience developing and deploying predictive models using statistical and machine learning techniques.
  • Strong experience applying machine learning methodologies to solve business problems and improve organizational outcomes.
  • Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large, complex datasets.
  • Hands-on experience with AWS cloud services for data storage, processing, and analytics.
  • Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
  • Excellent verbal and written communication skills and the ability to effectively translate business requirements into data-driven solutions.
  • Proven experience partnering with cross-functional stakeholders and delivering actionable insights.
  • Passionate coders with 3-5 years of application development experience.
  • Client facing or consulting experience highly preferred.
  • Skilled problem solvers with the desire and proven ability to create innovative solutions.
  • Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments.
  • Future technology leaders- dynamic individuals energized by fast paced personal and professional growth.
  • Phenomenal communicators who can explain and present concepts to technical and non-technical audiences alike, including high level decision makers.
  • Bachelor's Degree in MIS, Computer Science, Math, Engineering or comparable major.
  • Solid foundation in Computer Science, with strong competencies in data structures, algorithms and software design.
  • Knowledge and experience in developing software using agile methodologies.
  • Proficient in authoring, editing and presenting technical documents.
  • Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.
    Preferred Qualifications
  • Experience with Amazon SageMaker for model development, training, and deployment.
  • Experience using dbt for data transformation, modeling, and analytics engineering.
  • Experience working in healthcare, health insurance, or other highly regulated industries.
  • Knowledge of MLOps practices, model monitoring, and cloud-based deployment frameworks.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $73,008 to $170,640. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.
Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
WHO WE ARE
Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers' expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients - the world's largest enterprises and biggest brands succeed.
WHAT WE BELIEVE
At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special.
We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders... and we're not done yet.
Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.
Disability Accommodations:
Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
About Us
Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.