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Junior Computer Science Jobs in Chester, PA (NOW HIRING)

Campbell Soup Company

Senior Data Scientist

Camden, NJ · On-site

Demonstrated experience leading complex projects and mentoring junior team members. IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE) * PhD in Statistics, Computer Science, Mathematics, Engineering ...

Campbell's

Senior Data Scientist

Camden, NJ · On-site

Demonstrated experience leading complex projects and mentoring junior team members. IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE) * PhD in Statistics, Computer Science, Mathematics, Engineering ...

Saransh Inc

iOS Developer - Onsite

Wilmington, DE · On-site

$50.25 - $69.25/hr

Mentor and guide junior developers, providing technical leadership and code reviews. * Participate ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as an ...

Marencor

UI Developer/ React/Node

Wilmington, DE · On-site

$165 - $180/hr

... computer science, engineering, and mathematical analysis. Core Responsibilities: * Perform code ... Creating system documentation and mentoring junior team members (10%) * Perform recruiting ...

Temple Health

Lead Network Engineer

Philadelphia, PA · On-site

$102K - $141K/yr

Education Bachelor's Degree Computer Science or related field Required or Combination of relevant ... junior network engineer data techs Required General Experience with strong communication and ...

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Junior Computer Science information

See Chester, PA salary details

$23.2K

$85.8K

$132.6K

How much do junior computer science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior computer science in Chester, PA is $85,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $83,900.00 per year, depending on experience, location, and employer.

What is a junior computer scientist?

A Junior Computer Scientist is an entry-level professional who typically holds a degree in computer science or a related field. They work under the supervision of senior staff to design, develop, test, and maintain software, algorithms, or systems. Their responsibilities may include coding, debugging, conducting research, and assisting with technical documentation. This role is often a starting point for those looking to advance in the field of computer science, offering valuable hands-on experience and opportunities to learn from more experienced colleagues.

What are the key skills and qualifications needed to thrive as a junior computer scientist?

To thrive as a Junior Computer Scientist, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development environments are commonly expected. Strong problem-solving abilities, effective communication, and a willingness to learn are essential soft skills for this role. These skills and qualities enable junior computer scientists to contribute to team projects, adapt to new technologies, and efficiently solve real-world technical problems.

What types of projects and responsibilities can a junior computer science professional expect in their first year?

As a Junior Computer Science professional, you can expect to work on a variety of foundational tasks such as debugging code, writing unit tests, and assisting with the development of new features under the supervision of more experienced team members. You may also participate in code reviews, collaborate with cross-functional teams like design and QA, and help maintain documentation. These hands-on experiences are designed to help you build technical skills, understand software development processes, and gradually take on more complex assignments as you gain confidence and expertise.

What is the difference between Junior Computer Science vs Junior Software Developer?

AspectJunior Computer ScienceJunior Software Developer
Required CredentialsDegree in Computer Science or related fieldDegree or coding bootcamp certification
Work EnvironmentAcademic, research, or entry-level tech rolesSoftware development teams, tech companies
Industry UsageUniversities, research labs, tech firmsSoftware companies, startups, IT departments
Common Search/ComparisonYesYes

Junior Computer Science roles typically focus on foundational knowledge, research, or academic settings, requiring a degree in computer science. Junior Software Developer positions are more application-oriented, involving coding and software creation within development teams. While both roles are entry-level, they serve different career paths within the tech industry.

What are the most commonly searched types of Computer Science jobs in Chester, PA?

The most popular types of Computer Science jobs in Chester, PA are:

What cities near Chester, PA are hiring for Junior Computer Science jobs?

Cities near Chester, PA with the most Junior Computer Science job openings:

Junior Computer Science jobs near you

Senior Data Scientist

Campbell Soup Company

Camden, NJ • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 21 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Why Campbell's...
  • Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
  • Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
  • Campbell's offers unlimited sick time along with paid time off and holiday pay.
  • If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
  • Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually.
  • Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

HOW YOU WILL MAKE HISTORY HERE...
As a Senior Data Scientist, you will serve as a hands-on technical leader responsible for scoping, developing, and operationalizing advanced statistical, machine learning, and AI solutions that deliver measurable business value for Campbell's. You will partner with business and technical leaders across the organization to transform complex, ambiguous challenges into scalable, production-ready analytics products. Through your expertise, leadership, and mentorship, you will elevate data science capabilities, influence strategic decision-making, and help position Campbell's as a data-driven market leader and preferred retail partner.
WHAT YOU WILL DO...
  • Lead the end-to-end development of advanced analytics solutions, including Machine Learning, Deep Learning, Artificial Intelligence, Optimization, Simulation, Data Mining, and Multivariate Statistical techniques such as clustering, regression, PCA, hypothesis testing, and factor analysis.
  • Translate complex and unstructured data into actionable insights by sourcing, cleansing, engineering, and validating data while ensuring reproducibility, quality assurance, and model governance.
  • Own the deployment, monitoring, and lifecycle management of production models in partnership with Data Engineering and ML Engineering teams, including CI/CD, drift detection, model retraining, and performance monitoring.
  • Partner with stakeholders across Supply Chain, Finance, Marketing, Sales, and R&D to identify high-impact opportunities and develop data science solutions that generate measurable business outcomes and ROI.
  • Design and lead experimentation strategies, including A/B testing and quasi-experimental approaches, to evaluate business initiatives and support data-driven decision-making.
  • Develop compelling visualizations, presentations, and business narratives that translate technical findings into actionable recommendations for senior leadership and non-technical audiences.
  • Collaborate with data engineering teams to enhance data and machine learning platforms, evaluate emerging technologies, and recommend improvements that increase scalability, speed, and reliability.
  • Mentor and coach junior data scientists through code reviews, methodology guidance, technical leadership, and best practices.
  • Contribute to the development of analytics standards, reusable assets, technical documentation, recruiting efforts, training programs, and data science communities of practice across the organization.

WHO YOU WILL WORK WITH...
  • Data Science, Data Engineering, and ML Engineering teams
  • Supply Chain, Finance, Marketing, Sales, and R&D leaders
  • Business stakeholders and decision-makers across Campbell's
  • Internal analytics communities and cross-functional project teams
  • Senior leadership teams responsible for strategic business initiatives
  • External retail partners as part of joint value creation opportunities

WHAT YOU BRING TO THE TABLE... (MUST HAVE)
  • Master's degree in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative field; equivalent practical experience will also be considered.
  • 4+ years of hands-on experience developing and deploying advanced analytics, machine learning, and statistical models in production environments.
  • Strong foundation in data science methodologies, including probability, statistics, supervised and unsupervised learning, forecasting, experimentation, causal inference, and optimization.
  • Advanced proficiency in Python and/or R with experience building scalable, modular, tested, and version-controlled analytical solutions.
  • 2+ years of experience working with SQL and modern data platforms such as Snowflake, Databricks, Spark, or comparable technologies.
  • Experience developing and deploying machine learning solutions using libraries and frameworks such as pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, and statsmodels.
  • Experience with MLOps and software engineering best practices, including Git, Docker, MLflow, CI/CD processes, model monitoring, and production support.
  • Ability to design experiments, establish success metrics, quantify business impact, and effectively communicate findings to both technical and non-technical audiences.
  • Strong problem-solving, stakeholder management, and communication skills with the ability to influence decision-making and drive adoption of analytical solutions.
  • Demonstrated experience leading complex projects and mentoring junior team members.

IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE)
  • PhD in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Experience with optimization modeling and tools such as Gurobi, PuLP, or similar frameworks.
  • Experience with cloud-based analytics and machine learning platforms, particularly Microsoft Azure, including Databricks, Synapse, AKS, Azure Functions, and cloud storage services.
  • Experience building analytical applications, dashboards, or decision-support tools using Power BI, Tableau, Plotly Dash, or similar technologies.
  • Familiarity with feature stores, advanced production MLOps frameworks, and large-scale model governance practices.
  • Experience within Consumer Packaged Goods (CPG), retail, or related industries.
  • Expertise in business domains such as demand forecasting, pricing and promotions, marketing mix modeling, assortment optimization, trade spend analytics, or supply chain optimization.

Experience contributing to recruiting, training, and capability-building initiatives within data science or analytics organizations.
Compensation and Benefits:
The target base salary range for this full-time, salaried position is between
$109,400-$150,400
Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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