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Entry Level Computer Science Environmental Jobs in Lansing, MI

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other ... environment without regard to race, color, religion, gender, gender identity, gender expression ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other ... environment without regard to race, color, religion, gender, gender identity, gender expression ...

Stem Xpert

BA - InfoPath Forms Developer

Lansing, MI · On-site

Possession of a Bachelor's degree with 21 semester (32 term) credits in computer science, data ... Technical environment for the work: SharePoint 2010 (migrating to 2013) InfoPath 2010 Windows 7

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Entry Level Computer Science Environmental information

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$22

$35

How much do entry level computer science environmental jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for entry level computer science environmental in Lansing, MI is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $25.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level computer science environmental professional?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What are some typical projects an entry level computer science environmental professional might work on?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What is an entry level computer science environmental job?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

What are popular job titles related to Entry Level Computer Science Environmental jobs in Lansing, MI? For Entry Level Computer Science Environmental jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Environmental jobs in Lansing, MI look for? The top searched job categories for Entry Level Computer Science Environmental jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Entry Level Computer Science Environmental jobs? Cities near Lansing, MI with the most Entry Level Computer Science Environmental job openings:
Entry Level Computer Science Environmental jobs near you
Infographic showing various Entry Level Computer Science Environmental job openings in Lansing, MI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,413 per year, or $22.3 per hour.

Data Scientist

Delta Dental of Michigan

Okemos, MI • On-site

Full-time

Medical, Dental

Re-posted 14 days ago

Job description

Job Title:
Data Scientist
Number of Positions:
1
Location:
Okemos, MI
Location Specifics:
Hybrid Position
Job Summary:
At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.
At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.
Position Description:
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.
Primary Job Responsibilities:
  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.
#LI-Hybrid
Minimum Requirements:
Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.
Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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