1

Computer Science Mba Jobs in Seattle, WA (NOW HIRING)

Associate Data Scientist

Bellevue, WA · On-site

$66K - $66K/yr

Preferred Experience/Skills/Competencies: * MBA or Master's degree in Computer Science, MIS, or related field. * Professional certifications such as PMP, FRM, or related industry certifications from ...

Associate Data Scientist

Bellevue, WA

$66K - $66K/yr

Preferred Experience/Skills/Competencies: * MBA or Master's degree in Computer Science, MIS, or related field. * Professional certifications such as PMP, FRM, or related industry certifications from ...

Associate Data Scientist

Bellevue, WA

$66K - $67K/yr

Preferred Experience/Skills/Competencies: * MBA or Master's degree in Computer Science, MIS, or related field. * Professional certifications such as PMP, FRM, or related industry certifications from ...

Must-Have Qualifications * Bachelor's degree in a technical field such as computer science ... Nice-to-Have Qualifications * MBA or another related advanced degree. About Aquent Talent Aquent ...

We are the backbone for innovative data science and artificial intelligence developments at Visa ... Masters, MBA, JD, MD) or 6+ years of work experience with a PhD Three (3) years of experience ...

We are the backbone for innovative data science and artificial intelligence developments at Visa ... Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications • ...

Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work ... Advanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related ...

Data Scientists Location: Redmond WA Duration; 6+ Months Analyze complex, high-volume, high ... MBA or Masters/PhD in Business or a Quantitative Discipline preferred. Success Factors include:

Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work ... Advanced degree (MS or PhD) in AI, Computer Science, Statistics, Operations Research, or a related ...

Showing results 41-60

Computer Science Mba information

What is a Computer Science MBA?

A Computer Science MBA is a graduate program that combines advanced studies in computer science with business administration and management training. This dual-focus degree is designed to equip students with both the technical expertise required in the tech industry and the leadership, strategy, and management skills necessary for business roles. Graduates are prepared for careers that bridge technology and business, such as technology management, product management, or executive positions in tech-driven companies. The curriculum typically includes courses in programming, data analytics, software development, as well as finance, marketing, and organizational behavior. This unique combination opens doors to leadership positions where both technical and business acumen are essential.

How does a Computer Science MBA role typically bridge technical and business teams within an organization?

Professionals in Computer Science MBA roles often act as a crucial link between technical development teams and business units. They translate business objectives into technical requirements and ensure that technical solutions align with strategic goals. This collaboration involves frequent meetings, project management, and problem-solving across functions, making strong communication and cross-disciplinary understanding essential. As organizations increasingly rely on technology-driven strategies, these roles offer significant opportunities for career advancement into leadership and executive positions.

What is the difference between Computer Science MBA vs Data Analyst?

AspectComputer Science MBAData Analyst
Required CredentialsBachelor's in Computer Science or related, MBA preferredBachelor's in Statistics, Mathematics, or Computer Science
Work EnvironmentBusiness and technical teams, strategic rolesData-focused teams, reporting, and analysis
Employer & Industry UsageTech companies, consulting, finance, healthcareFinance, marketing, tech, healthcare
Common Search & Comparison IntentUnderstanding business-technical roles, leadership potentialData analysis skills, job responsibilities

The Computer Science MBA combines technical expertise with business acumen, preparing graduates for leadership roles that bridge technology and management. Data Analysts focus on interpreting data to inform business decisions. While both roles require analytical skills, the Computer Science MBA emphasizes strategic thinking and managerial responsibilities, whereas Data Analysts concentrate on data processing and reporting.

What are the key skills and qualifications needed to thrive as a Computer Science MBA, and why are they important?

To thrive as a Computer Science MBA, you need a solid grounding in computer science principles, business management, and analytical thinking, typically supported by a bachelor's degree in a related field and an MBA with a focus on technology. Familiarity with programming languages, data analytics tools, enterprise software, and project management systems is highly valuable. Leadership, problem-solving, and effective communication are crucial soft skills for bridging technical and business teams. These skills enable professionals to drive innovation, manage technology projects, and make strategic decisions that align with organizational goals.

What are popular job titles related to Computer Science Mba jobs in Seattle, WA?

For Computer Science Mba jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Computer Science Mba jobs in Seattle, WA look for?

The top searched job categories for Computer Science Mba jobs in Seattle, WA are:

Associate Data Scientist

PACCAR

Bellevue, WA • On-site

$66K - $66K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Paccar rating

8.8

Company rating: 8.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

44th of 489 rated machine equipment manufacturers


Job description

Company Information
PACCAR is a Fortune 500 company recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business.
We're investing in sustainability for the long haul. We are a purpose-led, values-driven company that believes the work we do today makes a difference tomorrow. Whether you are starting out your career or continuing to build upon one, PACCAR provides opportunities for both! Join a community of professionals that is helping build the best in industry products and services that keep our communities running!
Requisition Summary
This position is located at PACCAR's global headquarters in downtown Bellevue, Washington, and provides an exciting opportunity to support the strategic direction of PACCAR by developing and applying analytical models that identify and quantify risk in PACCAR's global portfolio of financial products.
As a Data Analyst within the Portfolio Risk and Analysis Group, you will provide analytically sound risk models that inform credit decisions by PACCAR's finance organizations in Europe, North America, Latin America, and Australia, as well as senior management and company executives. You will utilize your education and work experience to drive new projects and improvements to existing processes. Company executives and analytic partners will rely on you for timely, trustworthy, and relevant business insights gained through best practices in data science and advanced analytic techniques.
Success in this role will hinge on your curiosity, ability to work well in ambiguity, a passion for learning, and adept communication skills.
Job Functions / Responsibilities
    • Manage and document the full lifecycle of analytic projects from problem statement through solution performance monitoring.
    • Employ appropriate AI/ML algorithms in creation and deployment of models that support initiatives for risk analysis and automated credit decisioning.
    • Leverage emerging technologies to continuously increase the value of PACCAR's data assets
      • Expand and enhance the department's BI capabilities by developing automated deployment pipelines, and data processing applications using on-premise and cloud-based tools.
      • Maintain strong working relationships with IT departments and regional credit offices to facilitate adoption of digital transformation initiatives.
      • Confidently present improvement ideas and technical solutions, that enhance business impact and reduce programmatic risk, to senior managers and executives.
    • Develop and implement process improvements leveraging AI to enhance data analysis and modeling capabilities, increasing the speed, accuracy, and efficiency of our work.
    • Support organizational objectives as an integral member of an effective cross-functional credit and risk analytics team

    Skills / Competencies
    Required Experience/Skills/Competencies:
    • Bachelor's degree in Computer Science, MIS, Business Analytics, Statistics or related field
    • 5+ years of applicable job experience.
    • Demonstrated experience leading data projects from inception to deployment. Including building relationship with stakeholders and targeting strategic outcomes.
    • Must be a highly motivated self-directed learner with a creative mind, insatiable curiosity, and meticulous attention to detail.
    • Strong statistical foundation combined with proficiency in machine learning algorithms including logistic regression, chi-squared testing, ROC curves, ensemble methods, and automated machine learning platforms to drive data-driven insights and model performance optimization.
    • Advanced proficiency with SQL and Snowflake querying and use of relational database platforms such as SQL Server, Oracle, MySQL, etc.
    • Proficiency in data-centric programming languages such as Python or R.
    • Experience deploying models to production and supporting model monitoring.
    • Experience with machine learning models (e.g., gradient boosting, random forests, XGBoost/LightGBM).
    • Experience with the AWS suite, specifically Amazon S3, AWS Lambda, and Apache Airflow.
    • Excellent general business acumen, with the ability to clearly and concisely communicate complex topics.
    • Hands-on data modeling experience and proficiency with data visualizations.

    Preferred Experience/Skills/Competencies:
    • MBA or Master's degree in Computer Science, MIS, or related field.
    • Professional certifications such as PMP, FRM, or related industry certifications from AWS, Google Analytics, etc.
    • Experience with large language models (LLMs), retrieval-augmented generation (RAG), or autonomous agent frameworks to develop and deploy machine learning models and AI agents that automate data analysis workflows and drive actionable insights from complex datasets.
    • Experience with version control (Git) and collaborative analytics workflows.
    • Strong understanding of commercial financial principles.

    Benefits
    As a U.S. PACCAR employee, you have a full range of benefit options including:
    • 401k with up to a 5% company match
    • Fully funded pension plan that provides monthly benefits after retirement
    • Comprehensive paid time off- minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time
    • Tuition reimbursement for continued education
    • Medical, dental, and vision plans for you and your family
    • Flexible spending accounts (FSA) and health savings account (HSA)
    • Paid short-and long-term disability programs
    • Life and accidental death and dismemberment insurance
    • EAP services including wellness plans, estate planning, financial counseling and more
    • This position is also eligible for a holiday gift.

    Additional Job Information
    PACCAR is an E-Verify and Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors including your education, training, or experience. The salary range for the Associate Data Scientist position is $90,400 -$141,800 annually. Additionally, this role is eligible for the full range of benefit options listed above.

What Paccar employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Paccar logo

About Paccar

Sourced by ZipRecruiter

PACCAR, Inc. is a Fortune 500 company established in 1905 and is recognized as a global leader in the commercial vehicle, financial, and customer service fields. PACCAR is a global technology leader in the design, manufacture, and customer support of high-quality light-, medium- and heavy-duty trucks under its internationally recognized brands Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and provides customized financial services, information technology and truck parts related to its principal business. Your next career move is waiting at PACCAR whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services. Join the PACCAR team today!

Industry

Motor vehicle manufacturing

Company size

10,000+ Employees

Headquarters location

Bellevue, WA, US

Year founded

1905

Social media