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Manager Environmental Data Scientist Jobs (NOW HIRING)

... environment. The Scientist is an active participant in SAFe and Scrum development teams and ... Experience with workload managers (SLURM, Argo Workflow, Airflow). * Strong problem-solving and ...

Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys ... environmental DNA, multibeam, and aerial imagery data * Coordinate with project partners to ensure ...

The Data Scientist will provide analytical and technical support services to the National Institute ... environments, biomedical data, grants management systems, or federal government support ...

Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys ... environmental DNA, multibeam, and aerial imagery data * Coordinate with project partners to ensure ...

... environment. The Scientist is an active participant in SAFe and Scrum development teams and ... Experience with workload managers (SLURM, Argo Workflow, Airflow). * Strong problem-solving and ...

Capabilities of managing end-to-end machine learning pipeline from data exploration, feature ... Ability to work independently in a fast-paced, iterative development environment. * Exemplary ...

Verse helps these organizations manage complex power portfolios with confidence by unifying energy ... Contribute to integrating models into production systems in a cloud-based environment while ...

We are a team of tech-savvy cash inventory management experts passionate about helping financial ... We provide a collaborative and supportive environment that values the participation and ...

We are a team of tech-savvy cash inventory management experts passionate about helping financial ... We provide a collaborative and supportive environment that values the participation and ...

We are a team of tech-savvy cash inventory management experts passionate about helping financial ... We provide a collaborative and supportive environment that values the participation and ...

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Data Scientist

Arlington, VA · On-site

$100K - $135K/yr

... operating environments. The Data Scientist serves as a technical expert for enterprise data ... Bachelor's degree or higher, preferred. * 5+ years progressive experience in data management, data ...

In fact, many of our company's managers, vice presidents, and corporate executives started out in ... We provide a collaborative and supportive environment that values the participation and ...

Deploy and monitor machine learning models in production environments * Continuously improve model performance and accuracy * Stay current with emerging data science techniques, tools, and ...

Data Scientist

Boston, MA

$120K - $135K/yr

You will work closely with senior data scientists, engineers, product managers, and business ... Experience deploying models into production environments * Exposure to cloud services from AWS ...

Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices ... Maintain compliance with security and governance standards for data management on AWSKey ...

... Manage, maintain, and oversee model pipelines on the Databricks platform • Ensure models meet ... data science • Hold an advanced degree (MS or PhD preferred) in computer science, engineering ...

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Manager Environmental Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do manager environmental data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for manager environmental data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the highest paid job in data science?

In data science, the highest paid roles are often senior positions such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director, with salaries reaching into the high six or seven figures for those with extensive experience, advanced skills, and industry expertise. These roles typically require strong programming, statistical, and domain knowledge, along with leadership responsibilities.

What is the difference between Manager Environmental Data Scientist vs Environmental Data Scientist?

AspectManager Environmental Data ScientistEnvironmental Data Scientist
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; often requires leadership experienceBachelor's or Master's in Environmental Science, Data Science, or related fields; technical expertise in data analysis
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, develops models, supports environmental research
Employer & Industry UsageUsed in organizations with environmental departments, government agencies, consulting firmsCommon in research institutions, environmental agencies, private sector companies

The main difference is that the Manager Environmental Data Scientist oversees teams and projects, focusing on leadership and strategic planning, while the Environmental Data Scientist primarily conducts data analysis and modeling to support environmental initiatives.

What is the highest paying job in environmental science?

In environmental science, the highest paying roles are often senior positions such as Environmental Director or Chief Sustainability Officer, which can earn six-figure salaries. These roles typically require extensive experience, advanced degrees, and strong leadership skills, often overseeing large teams or strategic initiatives.

How to become a data scientist manager?

To become a data scientist manager, professionals typically need several years of experience in data analysis, modeling, and programming, along with strong leadership and project management skills. Earning advanced degrees such as a master's or Ph.D. in data science, statistics, or related fields, and gaining proficiency in tools like Python, R, and SQL, are also important. Certifications in data management or analytics can further enhance qualifications for managerial roles.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, trends, and insights related to ecosystems, pollution, climate change, and natural resources. They use statistical tools, programming languages like Python or R, and GIS software to manage and interpret large datasets, supporting environmental decision-making and policy development.
What cities are hiring for Manager Environmental Data Scientist jobs? Cities with the most Manager Environmental Data Scientist job openings:
What are the most commonly searched types of Environmental Data Scientist jobs? The most popular types of Environmental Data Scientist jobs are:
What states have the most Manager Environmental Data Scientist jobs? States with the most job openings for Manager Environmental Data Scientist jobs include:
Data Scientist

Data Scientist

Intellectix

Springfield, VA • On-site

Full-time

Re-posted 28 days ago


Job description

Data Scientist
Location: Springfield, VA
Clearance: TS/SCI
Citizenship: US Citizenship Required
Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping the lives of millions. At Intellectix, we are on a mission to empower them with innovative technical solutions and drive transformational change. As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software systems. Because at Intellectix, it's not what we do, it's why we do it.
Responsibilities & Duties:
This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is needed to support a sophisticated enterprise environment. The Scientist is an active participant in SAFe and Scrum development teams and meetings.
  • Identify data sources and automate collection processes.
  • Perform preprocessing of structured and unstructured data.
  • Analyze large, complex data sets to identify trends and patterns.
  • Build predictive models and machine learning algorithms.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to address Key Intelligence Questions.
  • Collaborate with engineering and product development teams.

Qualifications:
Education/Experience:
  • 5+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
  • 5+ years of experience in a Linux environment.
  • Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq.
  • Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow).
  • Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
  • Experience with workload managers (SLURM, Argo Workflow, Airflow).
  • Strong problem-solving and troubleshooting skills.
  • Strong communication and interpersonal skills.
  • Must possess excellent time management skills and the drive to work unsupervised.
  • Active TS/SCI clearance required and eligibility to obtain a CI poly.

Desired Skills:
  • Prior experience working with or within the Intelligence Community or a military intelligence unit.
  • Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.).
  • Computer vision-related experience with torchvision or tensorflow object detection APIs.
  • Additional languages on top of Python preferred (C++, Julia, Go, R).
  • Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex).
  • Experience building data pipelines with spark, kafka, or nifi.

Join Intellectix and be part of a dynamic team that thrives on tempo, teamwork, and technical excellence. Your skills and expertise will contribute to creating a safer and smarter tomorrow.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.