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Entry Level Environmental Data Scientist Jobs in Tampa, FL

Vinik Sports Group

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

... Data Scientist Assistant supports the hockey analytics department by applying advanced data ... As part of a collaborative, team-based environment, this role contributes to scalable, impactful ...

AEG

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

... Data Scientist Assistant supports the hockey analytics department by applying advanced data ... As part of a collaborative, team-based environment, this role contributes to scalable, impactful ...

WSP

Environmental Science Intern - Summer 2026

Tampa, FL · On-site

$21.74 - $28.27/hr

WSP is seeking a Part-Time Environmental Science Intern - Summer 2026 to work with our Earth ... Support environmental data collection, such as tree inventory and wetland delineation. * Support ...

Gerdau

DATA ANALYST

Tampa, FL · On-site

Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment. * Strong proficiency in data analysis tools and programming languages like Python, R, SQL ...

Gerdau

DATA ANALYST

Tampa, FL · On-site

Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment. * Strong proficiency in data analysis tools and programming languages like Python, R, SQL ...

Gerdau

DATA ANALYST

Tampa, FL

Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment. * Strong proficiency in data analysis tools and programming languages like Python, R, SQL ...

SynergisticIT

Entry Level Software Developer

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Business Analyst - Entry Level

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Prime AE Group Inc

Environmental Specialist

Tampa, FL · On-site

$52K - $77K/yr

You will assist with environmental data collection, reporting, and coordination activities while working closely with project managers, scientists, engineers, and regulatory agencies. Key ...

SynergisticIT

Remote Data Analyst

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Deloitte

Data Science Consultant

Tampa, FL · On-site

If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also ...

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Entry Level Environmental Data Scientist information

See Tampa, FL salary details

$38.7K

$79.5K

$116.2K

How much do entry level environmental data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level environmental data scientist in Tampa, FL is $79,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $93,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Environmental Data Scientist, and why are they important?

To thrive as an Entry Level Environmental Data Scientist, you need a background in environmental science or a related field, along with strong skills in data analysis and statistics. Familiarity with programming languages like Python or R, experience with GIS software, and knowledge of data visualization tools are typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting and sharing complex findings. These competencies are crucial for generating reliable insights and informing environmental decision-making within organizations.

What types of projects and data sets do entry-level environmental data scientists typically work with?

As an entry-level environmental data scientist, you will often work with diverse data sets such as air and water quality measurements, climate records, satellite imagery, and GIS data. Projects can include analyzing trends in pollution, modeling the effects of environmental policies, or creating data visualizations to support sustainability initiatives. You’ll collaborate closely with environmental engineers, researchers, and policy teams, often participating in both data cleaning and preliminary analysis before results are shared with stakeholders. This variety provides valuable exposure to real-world environmental issues and lays a solid foundation for career growth.

What does an Entry Level Environmental Data Scientist do?

An Entry Level Environmental Data Scientist collects, analyzes, and interprets environmental data such as air, water, and soil quality. They use statistical methods and programming tools to help identify patterns and trends, supporting research and policy decisions. Often, they work under the guidance of senior scientists to prepare reports, visualize data, and ensure data quality. Their work helps organizations understand environmental impacts and develop solutions for sustainability.

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

AspectEntry Level Environmental Data ScientistEntry Level Environmental Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles may prefer certifications in data analysis or GISBachelor's in Environmental Science, Environmental Management, or related field; certifications in environmental regulations or GIS are common
Work EnvironmentData-focused roles often in labs, research institutions, or corporate sustainability teamsFieldwork, data collection, and reporting in government agencies, consulting firms, or NGOs
Employer & Industry UsageUsed in research, corporate sustainability, and environmental consultingCommon in government agencies, environmental consulting, and non-profit organizations

While both roles require a background in environmental sciences, the Environmental Data Scientist focuses more on data analysis, modeling, and programming, whereas the Environmental Analyst emphasizes data collection, reporting, and regulatory compliance. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Environmental Data Scientist jobs in Tampa, FL? The most popular types of Environmental Data Scientist jobs in Tampa, FL are:
What are popular job titles related to Entry Level Environmental Data Scientist jobs in Tampa, FL? For Entry Level Environmental Data Scientist jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Entry Level Environmental Data Scientist jobs in Tampa, FL look for? The top searched job categories for Entry Level Environmental Data Scientist jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Entry Level Environmental Data Scientist jobs? Cities near Tampa, FL with the most Entry Level Environmental Data Scientist job openings:
Entry Level Environmental Data Scientist jobs near you
Infographic showing various Entry Level Environmental Data Scientist job openings in Tampa, FL as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, and 16% Part Time. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $79,498 per year, or $38.2 per hour.
Data Scientist Assistant

Data Scientist Assistant

Vinik Sports Group

Tampa, FL • On-site

$15/hr

Part-time

Posted 27 days ago

Job description

Compensation: $15 per hour
Tentative Start Date: September 1, 2026
Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week
Job Summary
The Part-Time Data Scientist Assistant supports the hockey analytics department by applying advanced data analysis to drive insights and inform decision-making. The position works closely with hockey data to execute assigned analytical initiatives, develop new projects, and translate complex findings into clear, actionable insights for both technical and non-technical audiences. As part of a collaborative, team-based environment, this role contributes to scalable, impactful solutions while supporting an innovative, growth-minded culture within the organization.
Essential Duties & Responsibilities
  • Work with hockey data to fulfill assigned analytical directives and contribute to ongoing projects
  • Design, develop, and execute new analytics projects that generate actionable insights
  • Analyze data using geometric, physical, and statistical concepts relevant to hockey performance
  • Interpret analytical results and clearly communicate findings to technical and non-technical stakeholders
  • Collaborate effectively within a team-based hockey analytics environment
  • Contribute to impactful, scalable solutions in a growth-minded and innovative culture
  • Other duties as assigned

Qualifications
  • Degree or academic background in Computer Science, Mathematics, Engineering, Physics, or a related field
  • 2-3 years of experience writing modern Python code
  • Experience working with SQL databases
  • Familiarity with Git or other version control systems
  • Ability to perform geometric and physics-based analyses
  • Strong problem-solving skills with a demonstrated desire for continuous learning and professional development
  • Experience working in a collaborative, team-based environment
  • Strong ability to interpret data and communicate results effectively
  • Knowledge of statistics and probability theory preferred
  • Experience working with time-series data and/or skeletal or player-tracking data preferred
  • Familiarity with machine learning concepts and practical applications preferred
  • Experience with advanced statistical modeling techniques preferred
  • Prior experience working with sports or hockey-related data preferred

Working Conditions
  • Ability to work extended hours including late nights, holidays, and weekends as needed
  • This role is eligible for remote work

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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