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Commission Math Major Computer Science Minor Jobs in Spring Grove, PA

Our products help to enable the artificial intelligence revolution by helping major Tier 1 ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related ...

Our products help to enable the artificial intelligence revolution by helping major Tier 1 ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related ...

Our products help to enable the artificial intelligence revolution by helping major Tier 1 ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related ...

Our products help to enable the artificial intelligence revolution by helping major Tier 1 ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related ...

Senior Software Engineer

Sparks, MD · On-site

$117K - $154K/yr

Requires a BS degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics or a related engineering discipline * Knowledge of Automation/Process Control experience ...

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Performs and leads set up, operation, minor and major routine maintenance, preventative maintenance ...

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Commission Math Major Computer Science Minor information

See Spring Grove, PA salary details

$10

$24

$58

How much do commission math major computer science minor jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for commission math major computer science minor in Spring Grove, PA is $24.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $28.51 per hour, depending on experience, location, and employer.

What is a commission math major computer science minor?

A Commission Math Major Computer Science Minor refers to individuals who have completed a major in mathematics and a minor in computer science, typically as part of a college degree program, and are now working in commission-based roles. These professionals often combine their strong analytical and technical skills to work in fields such as finance, data analysis, or technology sales, where compensation is partly or fully based on commissions. Their background allows them to analyze complex data, develop algorithms, or sell technical products and services effectively. This combination of skills is highly valued in roles that require both quantitative proficiency and technical know-how.

What are the key skills and qualifications needed to thrive as a commission math major computer science minor?

To thrive as a Commission Analyst with a background in math and computer science, you need strong analytical, quantitative, and problem-solving abilities, typically supported by a degree in mathematics and coursework in computer science. Familiarity with data analysis tools (such as Excel, SQL, Python), commission calculation software, and business intelligence platforms is highly valuable. Excellent attention to detail, communication skills, and the ability to work collaboratively across departments help set candidates apart. These skills ensure accurate commission calculations, effective data-driven decision-making, and seamless integration of technical solutions in business environments.

How can a background in mathematics and computer science enhance performance in a commission math major computer science minor role?

A strong foundation in mathematics equips you with advanced problem-solving and quantitative analysis skills, while a computer science minor adds valuable programming and data management abilities. In a commission-based analytical role, this combination enables you to efficiently interpret complex datasets, automate routine calculations, and create models that support data-driven sales or financial decisions. Collaborating with sales teams, you'll often translate raw data into actionable insights, helping both your team and clients achieve better outcomes. This synergy not only improves your effectiveness but can also accelerate your career progression in data-focused, high-reward environments.

What is the difference between Commission Math Major Computer Science Minor vs Data Analyst?

AspectCommission Math Major Computer Science MinorData Analyst
Required CredentialsMath degree, minor in CS, analytical skillsDegree in Math, CS, or related field; proficiency in data tools
Work EnvironmentOffice, tech companies, finance, consultingOffice, corporate, finance, healthcare, tech
Industry UsageFinance, tech, consulting, researchBusiness, finance, healthcare, marketing
Common Search/ComparisonYesYes

The Commission Math Major Computer Science Minor typically involves a strong foundation in mathematics with a minor in computer science, preparing individuals for analytical and technical roles. Data Analysts focus on interpreting data, creating reports, and supporting decision-making using statistical tools. While both roles require analytical skills and technical knowledge, Data Analysts are more focused on data interpretation and visualization, whereas Commission Math Major Computer Science Minor roles may involve broader mathematical and computational problem-solving.

What cities near Spring Grove, PA are hiring for Commission Math Major Computer Science Minor jobs?

Cities near Spring Grove, PA with the most Commission Math Major Computer Science Minor job openings:

Data Scientist

Yocumtown, PA • On-site

Amphenol TCS
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 5K employees

Full-time

Posted 18 days ago


Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.


Position: Data Scientist

Location: Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are currently seeking a Data Scientist to join our engineering team.

RESPONSIBILITIES:

The Data Scientist will apply statistical modeling, machine learning, and advanced analytics to engineering data. Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions.

KEY RESPONSIBILITIES:

  • Design and build statistical and machine learning models to solve engineering problems, such as predicting failures, optimizing processes, or identifying trends
  • Partner with engineering stakeholders to translate open-ended questions into well-scoped analytical projects
  • Explore and analyze large, complex datasets to uncover patterns and insights
  • Collaborate with data analysts and software engineers to productionize models and integrate them into existing systems and workflows
  • Validate model performance and monitor models in production, retraining or adjusting as needed
  • Communicate findings, methodologies, and recommendations clearly to both technical and non-technical stakeholders
  • Stay current on statistical and machine learning techniques and evaluate their applicability to engineering problems

QUALIFICATIONS:

A good candidate should have 3+ years of experience in a data science or applied statistics role.

  • Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field required. MS or PhD preferred.
  • Solid understanding of statistical methods and machine learning techniques
  • Comfort working with messy, real-world data, including cleaning, reconciling, and validating across multiple sources
  • Strong communication skills, able to explain complex methodologies to non-technical stakeholders

TECHNICAL EXPERTISE:

  • Strong proficiency in Python (scikit-learn, pandas, numpy, or similar) for model development
  • Experience with SQL for querying and preparing data

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/


Amphenol TCS logo

About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968