1

Manager Environmental Data Scientist Jobs (NOW HIRING)

... stakeholders in secure environments. Key Responsibilities * Lead the development and ... lifecycle management. * Apply advanced quantitative methods to derive actionable insights from ...

... environments (e.g., AWS), Linux, and/or SQL * Strong communication skills and the ability to manage ... data science, quantitative marketing, operations research, industrial engineering, etc.

... environments (e.g., AWS), Linux, and/or SQL * Strong communication skills and the ability to manage ... data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

As a Delivery team, this Department uses industry leading data science and change management practices to drive transition to the sustainable grid of the future. The Department works cross ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

... environments to find the pieces of their information puzzle. You'll guide and mentor your team as ... Experience developing, deploying, and managing enterprise-scale data science and predictive ...

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

... stakeholders in secure environments. Key Responsibilities * Lead the development and ... lifecycle management. * Apply advanced quantitative methods to derive actionable insights from ...

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 ...

Our data science teams also embrace staying current with the evolving data science landscape ... environments (e.g., AWS), Linux, and/or SQL * Strong communication skills and the ability to manage ...

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

... environments to find the pieces of their information puzzle. You'll guide and mentor your team as ... Experience developing, deploying, and managing enterprise-scale data science and predictive ...

As a member of the data science team, you will be working in a hybrid work environment to support ... Participate in technical interchange meetings, analytical update meetings, program management ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

... leaders, managers, and business partners * Experience operating in an Agile environment with ... Data Science * Analytics * Machine Learning Techniques * Text Mining * AI and GenAI Techniques ...

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 ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

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 ...

NY · On-site

$90 - $120/hr

Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions ... environments Nice to Have * Experience at a major financial institution, asset manager, or ...

Showing results 41-60

Manager Environmental Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 23, 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 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 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

Leidos

Springfield, VA • On-site

Full-time

Re-posted 28 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 495 rated business services


Job description

Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
  • Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
  • Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
  • Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
  • Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
  • Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
  • Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
  • Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
  • Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
  • Support data governance, security, compliance, and responsible AI practices within government mission environments.
  • Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
  • Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.

Required Technical Skills
  • Statistical modeling and inference
  • Machine learning and artificial intelligence
  • Predictive analytics and forecasting
  • Data mining and pattern analysis
  • Feature engineering and model evaluation
  • Data wrangling, integration, and transformation
  • Python, R, SQL, and scientific computing libraries
  • Visualization and dashboarding tools
  • Model deployment, monitoring, and lifecycle support
  • Documentation, briefing development, and technical communication

Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
  • Minimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
  • Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
  • Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
  • Strong programming experience in Python, R, SQL, or similar analytic languages.
  • Experience working with large, complex, and potentially disparate datasets in enterprise environments.
  • Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
  • Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
  • Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications
  • Master's degree or Ph.D. in a relevant quantitative or technical discipline.
  • Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
  • Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
  • Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
  • Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
  • Experience briefing senior government leadership and mission stakeholders.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 30, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media