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Senior Computer Science Teacher Jobs in Baton Rouge, LA

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master's degree preferred). * 2+ years of experience in analytics, commercial ...

Louisiana State University

Instructor

Baton Rouge, LA · On-site

... Computer Science at Louisiana State University seeks candidates for one instructor position ... Teaching and any instructional experience should be detailed in the CV. Additional Special ...

State of Louisiana

Education Consultant 4

Baton Rouge, LA · On-site

$5.4K - $9.8K/mo

Experience teaching computer science or other related content and expertise as a content expert in instructional technology Minimum Qualifications Eight years of experience in education, teaching, or ...

State of Louisiana

Education Consultant 4

Baton Rouge, LA · On-site

$5.4K - $9.8K/mo

... teaching computer science or other related content and expertise as a content expert in instructional technology Minimum Qualifications Eight years of experience in education, teaching, or ...

Varsity Tutors

Python Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm design, data manipulation, and object-oriented programming concepts in Python. Guides ...

IBM

Sr. Consultant, Data Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

We are looking for a Sr. Consultant, Data Engineer to join our growing team of experts. This ... Bachelor's degree in engineering, computer science or equivalent area. * Expertise in evaluating ...

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All JobsComputer Science Teacher JobsSenior Computer Science Teacher JobsSenior Computer Science Teacher Jobs in Baton Rouge, LA

Senior Computer Science Teacher information

See Baton Rouge, LA salary details

$24K

$77.1K

$157K

How much do senior computer science teacher jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior computer science teacher in Baton Rouge, LA is $77,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $98,900.00 per year, depending on experience, location, and employer.

How does a senior computer science teacher typically collaborate with other faculty members and departments?

As a Senior Computer Science Teacher, collaboration is a key part of the role. You will often work closely with other STEM faculty to integrate interdisciplinary projects and ensure curriculum alignment. Additionally, senior teachers frequently mentor junior colleagues, contribute to curriculum development committees, and may coordinate with IT staff to maintain up-to-date lab resources. This collaborative environment helps foster innovative teaching practices and enriches the learning experience for students.

What is a senior computer science teacher?

Senior Computer Science Teachers are experienced educators who specialize in teaching computer science subjects at the secondary or post-secondary level. They are responsible for developing curriculum, delivering lectures, and guiding students in areas such as programming, algorithms, and computer systems. In addition to teaching, they often mentor junior faculty, stay updated with technological advancements, and may participate in curriculum development and school technology initiatives. Their expertise ensures students gain a strong foundation in computer science principles and practical skills.

What is the difference between Senior Computer Science Teacher vs Computer Science Instructor?

AspectSenior Computer Science TeacherComputer Science Instructor
CredentialsBachelor's or Master's in Computer Science or Education, teaching certificationBachelor's in Computer Science or related field, teaching certification often preferred
Work EnvironmentHigh school or secondary education, classroom settingCommunity colleges, coding bootcamps, online platforms
Employer & IndustryPublic/private schools, educational institutionsTraining centers, online education companies, colleges
Search & Comparison IntentUnderstanding roles in traditional educationLooking for coding or tech training roles

The main difference between a Senior Computer Science Teacher and a Computer Science Instructor lies in their work environment and target audience. Senior Computer Science Teachers typically work in high schools with a focus on secondary education, while Computer Science Instructors often teach in colleges, bootcamps, or online platforms. Both roles require relevant credentials, but their settings and student levels differ.

What are the key skills and qualifications needed to thrive as a senior computer science teacher, and why are they important?

To thrive as a Senior Computer Science Teacher, you need deep subject matter expertise, a relevant degree, and teaching credentials such as state certification or a postgraduate teaching qualification. Familiarity with programming languages (like Python or Java), educational platforms (such as Google Classroom), and assessment tools is standard. Outstanding communication, classroom management, and mentorship abilities help foster an engaging and supportive learning environment. These skills and qualities ensure effective instruction, student success, and adaptability to evolving educational technologies.
What are the most commonly searched types of Computer Science Teacher jobs in Baton Rouge, LA? The most popular types of Computer Science Teacher jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Senior Computer Science Teacher jobs? Cities near Baton Rouge, LA with the most Senior Computer Science Teacher job openings:
Senior Computer Science Teacher jobs near you

Senior Sales Analyst

JM TEST SYSTEMS LLC

Baton Rouge, LA • On-site

$80K - $86K/yr

Full-time

Re-posted 20 days ago

Job description

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and Marketing teams. This role will beresponsible for transforming commercial data into actionable insights thatdrive revenue growth, improve sales effectiveness, and sharpen our go-to-marketstrategy. The Senior Sales Analyst will own sales performance reporting,pipeline analytics, and marketing ROI analysis - partnering closely with ourChief Revenue Officer and Sales and Marketing leadership. This role will benefitfrom the foundation built by our broader analytics and AI organizations andwill ultimately be responsible for continuing to improve how commercialdecisions are made.
Key Responsibilities
  • Sales Performance Reporting: Own the design, development, and delivery of recurring sales reports and analytics covering revenue by service line, rep-level performance, quota attainment, pipeline health, and customer retention - ensuring Sales leadership has timely, accurate visibility into the results and opportunities.
  • Sales Growth Analysis: Identify revenue growth opportunities by analyzing trends across accounts, segments, geographies, and service lines using both internal and external data sources. Surface patterns in new logo acquisition, churn, wallet share, and cross-sell to help sales teams focus their energy where it matters most.
  • Marketing & Pipeline Analytics: Support the Marketing function with campaign performance analysis, lead source attribution, and digital channel ROI. Partner with Marketing to connect top-of-funnel activity to downstream pipeline and closed revenue, informing how and where to invest for growth.
  • Sales & Marketing Enablement Tools: Build and maintain self-service tools with the help of AI and our software engineers that put actionable data directly in the hands of our Outside Sales Team, Inside Sales, and Marketing. Reduce manual reporting burdens and create scalable tools the commercial team can rely on day-to-day.
  • CRM & Data Integrity: Partner with Data Engineering to ensure CRM data and underlying transaction data are clean, consistent, and structured to support reliable commercial reporting. Flag data quality issues and drive resolution to maintain the integrity of sales analytics.
  • Forecasting & Predictive Insights: Develop and maintain sales forecasting models and apply predictive analytics to identify at-risk accounts, high-potential prospects, and seasonal revenue patterns. Leverage AI and advanced modeling where appropriate to give the commercial team a forward-looking edge.
  • Cross-Functional Collaboration: Work closely with Sales leadership, Marketing, Sales Operations, and Finance to align on metrics definitions, reporting cadences, and analytical priorities. Translate complex findings into clear narratives and recommendations that drive action at the leadership level.
  • Tool and Technology Evaluation: Stay abreast of emerging analytics and AI tools and technologies, recommending and implementing solutions that enhance the company's analytics and commercial capabilities.

Qualifications:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master's degree preferred).
  • 2+ years of experience in analytics, commercial operations, or a related business analytics role
  • Proven track record of driving data-driven decision-making and building analytics solutions in a fast-paced environment.
  • Proven track record of developing insights that lead to action and positive results
  • Experience implementing AI-driven analytics, machine learning models, or predictive analytics in a business context.
  • Strong proficiency in Claude or other LLM development tools, SQL, R, Excel, PowerPoint.
  • Experience collaborating with Data Engineering teams to design and implement data views.
  • Experience working with CRM platforms (e.g. HubSpot, Salesforce) and familiarity with sales engagement or marketing automation tools (e.g., Apollo.io, Clay, Klaviyo).
  • Excellent communication skills, with the ability to translate complex data and AI insights into clear, actionable recommendations for non-technical stakeholders.
  • Strong project management skills, with the ability to prioritize and manage multiple initiatives simultaneously.
  • General understanding of data governance, data quality, and best practices in analytics.
  • Knowledge of data warehousing concepts and ETL processes.

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