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Data Scientist 2

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.


Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.


Employ some combination (2 or more) of the following skill areas:

I. Foundations: (Mathematical, Computational, Statistical)

2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)

3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)


Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).


Required Qualifications
  • TS/SCI with agency appropriate poly
  • Bachelor’s Degree with 3 years of relevant experience
  • Associates degree with 5 years of relevant experience
  • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. 
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.


Relevant Experience
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.


The Benefits Package
  • Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. 

Additional benefits include:
  • Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:
  • A Choice of Medical Plan Options, some with Health Savings Account (HSA)
  • Vision and Dental
  • Life and AD&D Benefits
  • Short and Long-Term Disability
  • Hospital Indemnity, Accident, and Critical Illness Insurances
  • Optional Identity Theft and Legal Protection Services


Company Environment & Perks
  • Employee Referral Bonus Eligibility up to $10,000 
  • Mobility Among Wyetech-supported Contracts 
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. 
  • Employees receive two complementary branded clothing orders annually.


$51.36 - $107.53 an hour
Pay Range: $51.36 - $107.53 per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.

Wyetech, LLC is an Equal Opportunity Employer. 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. 


Affirmative Action Statement:

Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.


Accommodations:

Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates. 

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Average salary estimate

$165.265 / YEARLY (est.)
min
max
$107.53K
$223K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist 2, Wyetech

At Wyetech, we're on the lookout for a talented Data Scientist 2 to join our dynamic team in Annapolis Junction, Maryland. If you have a passion for extracting meaning from data and want to work in an environment that values growth, collaboration, and innovation, this is the place for you. As a Data Scientist, you’ll be working with extensive datasets to solve real-world problems for our federal government clients. You’ll combine your mathematical, statistical, and programming skills to develop models and handle diverse datasets— all while keeping our mission's goals in mind. Your role will involve translating complex analytical questions into actionable insights and communicating your findings to both technical and non-technical audiences. Not only will you harness cutting-edge technology, but you will also get the chance to collaborate with brilliant minds and take your career to the next level. Join us, and know you're part of a company that truly values its employees by providing a unique package of benefits designed to ensure your success both professionally and personally. From our generous retirement contributions to flexible PTO options, you’ll feel appreciated every step of the way. If you're ready to take your skills to a new height, we would love to have you at Wyetech!

Frequently Asked Questions (FAQs) for Data Scientist 2 Role at Wyetech
What are the responsibilities of a Data Scientist 2 at Wyetech?

As a Data Scientist 2 at Wyetech, your key responsibilities include extracting meaningful conclusions from large datasets, implementing both qualitative and quantitative methods for data assessment, and effectively communicating complex data analysis to stakeholders. You will also be responsible for designing and implementing advanced analytical algorithms and ensuring that the insights derived contribute effectively to mission-critical objectives.

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What qualifications do I need to be a Data Scientist 2 at Wyetech?

To qualify for the Data Scientist 2 position at Wyetech, candidates should possess a Bachelor's Degree in Mathematics, Applied Statistics, Data Science, or Computer Science, along with either three years of relevant experience or an Associate's degree with five years of experience. Additionally, having an active TS/SCI security clearance is a requirement, ensuring that you meet federal contract qualifications.

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What programming languages should I be familiar with for the Data Scientist 2 position at Wyetech?

Familiarity with at least one high-level programming language, such as Python, is essential for the Data Scientist 2 role at Wyetech. Experience in data modeling, statistical analysis, and data management techniques will also enhance your ability to succeed in this position, as you will be applying these skills to solve complex data-related challenges.

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What is the benefits package like for a Data Scientist 2 at Wyetech?

At Wyetech, the benefits package for the Data Scientist 2 role is very generous. It includes a 20% automatic contribution to a Simplified Employee Pension (SEP) IRA, flexible PTO of up to 200 hours annually, and various medical, dental, and vision plan options. Employees also enjoy other perks such as life insurance, disability benefits, and exciting company events throughout the year.

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Is there room for growth as a Data Scientist 2 at Wyetech?

Absolutely! At Wyetech, we pride ourselves on fostering professional development and career growth. As a Data Scientist 2, you will have numerous opportunities to learn, collaborate with industry experts, and advance your career within a supportive environment, all while contributing to impactful projects for the federal government.

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Common Interview Questions for Data Scientist 2
Can you describe your experience with data modeling and analysis as a Data Scientist?

It's important to articulate your hands-on experience with data modeling and analysis. Share specific projects you've worked on, the tools you used, such as Python and libraries like Pandas or NumPy, and how your analyses impacted the outcomes of the projects. Be ready to discuss both challenges faced and how you overcame them.

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How do you ensure data quality and integrity in your analyses?

Emphasize the importance of a structured data cleaning process. Discuss tools or methodologies you utilize to identify and rectify data integrity issues, such as data validation techniques and outlier detection. Highlight specific examples where your commitment to data quality improved analytic outcomes.

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How do you communicate complex data findings to non-technical stakeholders?

Communicating complex findings requires clarity and effectiveness. Share techniques you use, such as visualizations, simplified reports, and storytelling approaches that make data insights more accessible. Illustrate this with anecdotes where you successfully conveyed technical information to a non-technical audience.

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What machine learning algorithms are you most familiar with, and which have you applied in past projects?

Discuss the variety of machine learning algorithms you have experience with, from supervised to unsupervised learning techniques. Describe specific projects, the algorithms employed, the type of data handled, and the impact of these applications on the overall success of the project.

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Can you provide an example of a challenging dataset you worked with and how you approached it?

Present a detailed scenario involving a specifically challenging dataset—such as missing data or unstructured formats. Explain your step-by-step approach, including any methodologies for cleaning, analyzing, and deriving meaningful conclusions from the data. Highlight the results and what you learned from the experience.

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What tools do you use for data visualization, and how do you decide which to use?

Be prepared to discuss various data visualization tools like Tableau, Power BI, or Matplotlib. Explain your criteria for selecting tools based on project needs, the complexity of the data, and the target audience for the visualizations. Discuss an example where effective data visualization led to clearer insights.

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How do you stay current with advancements in data science and analytics?

Talk about the resources you utilize, such as online courses, webinars, industry publications, and active participation in data science communities. Emphasize your commitment to lifelong learning through specific examples showcasing how you've adapted new skills or tools to your work.

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What role does statistical significance play in your analyses?

Explain how statistical significance is critical in validating the results of your analyses. Discuss your familiarity with hypothesis testing, p-values, and confidence intervals, along with real-world applications where you used these concepts to support data-driven decisions.

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How do you approach collaboration with other team members on data projects?

Collaborative projects require clear communication and shared objectives. Share your approach by detailing how you establish roles, maintain open communication channels, and use project management tools to keep the team aligned. Highlight a successful project where collaboration led to enhanced results.

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What impact do you think your role as a Data Scientist has on the larger mission at Wyetech?

Discuss the significance of your contributions towards solving real-world problems for the federal government. Emphasize how your data-driven insights can enhance decision-making, efficiency, and project outcomes and how that aligns with Wyetech's mission and values.

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March 22, 2025

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