... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Quick apply
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Quick apply
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Data Engineer - Multiple Levels (TS/SCI with Poly Required)
Columbia, MD · On-site
$113K - $136K/yr
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Data Engineer - Multiple Levels (TS/SCI with Poly Required)
Columbia, MD · On-site
$113K - $136K/yr
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
... random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain ... For entry-level data scientists, 0-3 years of experience on Data Science projects. * For mid-level ...
Entry Level Forestry information
What is an entry level forestry job?
Entry level forestry jobs are positions designed for individuals who are new to the forestry field, often requiring little to no previous experience. These roles typically involve tasks such as tree planting, forest maintenance, data collection, pest management, and assisting with conservation projects. Entry level forestry workers may also help with wildfire prevention, trail building, and monitoring forest health under the supervision of more experienced professionals. These positions are ideal for those interested in natural resources, environmental science, or outdoor work, and can lead to more advanced roles in forestry management or research.
What are the key skills and qualifications needed to thrive as an entry level forestry worker?
To thrive as an Entry Level Forestry worker, you generally need a high school diploma or associate degree in forestry or a related field, along with basic knowledge of tree identification, ecosystem management, and safety procedures. Familiarity with GPS units, chainsaws, and forestry data collection software is commonly required. Strong teamwork, attention to detail, and physical stamina are valued soft skills for this role. These skills ensure safe, efficient fieldwork and accurate data collection critical to forest management and conservation efforts.
What are some typical challenges faced by entry level forestry professionals, and how can new hires prepare for them?
Entry level forestry professionals often encounter challenges such as adapting to outdoor work in various weather conditions, learning to safely use forestry equipment, and understanding complex environmental regulations. New hires may also need to quickly develop skills in data collection, navigation, and teamwork, as forestry projects often involve collaboration with other field staff, biologists, and landowners. Preparing through hands-on internships, physical conditioning, and familiarizing yourself with local forestry guidelines can help you transition more smoothly into the role.
What is the difference between Entry Level Forestry vs Entry Level Arborist?
| Aspect | Entry Level Forestry | Entry Level Arborist |
|---|---|---|
| Required Certifications | Forestry or environmental science degrees, basic safety training | Arborist certification (e.g., ISA), safety training |
| Work Environment | Forests, conservation areas, land management sites | Urban and suburban trees, parks, private properties |
| Employer & Industry Usage | Government agencies, environmental organizations, forestry companies | Tree care companies, landscaping firms, municipal parks |
Entry Level Forestry and Entry Level Arborist roles share some certifications and safety training but differ mainly in work environment and industry focus. Forestry roles typically involve land management and conservation in natural settings, while arborist roles focus on urban tree care and maintenance. Both are entry-level positions suited for individuals interested in environmental work and require relevant certifications.
What are the most commonly searched types of Forestry jobs in Washington?
The most popular types of Forestry jobs in Washington are:
What are popular job titles related to Entry Level Forestry jobs in Washington?
For Entry Level Forestry jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Forestry jobs in Washington look for?
The top searched job categories for Entry Level Forestry jobs in Washington are:
What cities in Washington are hiring for Entry Level Forestry jobs?
Cities in Washington with the most Entry Level Forestry job openings:
Data Scientist - Multiple Levels (TS/SCI with Poly Required)
Annapolis Junction, MD • On-site
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 21 days ago
Job description
A little about us:
Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:
A day in the life:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.
This role is hands-on across all areas as a data scientist; from understanding customer requirements and collecting data, to developing visualizations and advanced analytics to make data-driven recommendations and decisions. You will work directly with intel analysts to develop prototypes and novel solutions that satisfy complex operational needs.What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
Employment Type: Full-TimeAll of our data scientists need the following skills:
- Proficiency with a scripting language such as R or Python
- Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
- A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
- For entry-level data scientists, 0-3 years of experience on Data Science projects.
- For mid-level data scientists, 3-6 years of experience on Data Science projects.
- For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
- A TS/SCI with Polygraph security clearance.
For this particular role, you will also need:
- Large dataset experience
- Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
- Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software.
These are important skills to have, but not necessarily mandatory:
- Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
- Experience or exposure to Natural Language Processing (NLP).
- Experience with Java, C, or other compiled languages
- Comprehensive knowledge of Saturday Night Live sketches (just kidding)
- Experience with SQL/NoSQL, Spark, Hadoop
- Familiarity with Javascript and Scripting
- Familiarity with Docker, GitLab, and React
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as wecontinue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health, life/disability, 401k, paid time off,professional development, and generous bonus programs. Please visit ourbenefitstab for additional information.
Salary Range:
- Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience,actual level of expertise, and the responsibilities of the role itself.
- Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
- Entry-level: $95,000 - $135,000
- Mid-level: $110,000 - $155,000
- Senior-level: $135,000 - $235,000
Some of our additional perks and benefits include:
- Retire soonerthan planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
- Have a career AND a life:Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
- Stay at your best:As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
- Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
- Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
- Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as webring digital transformation to the fight!