Qureos Mentor

PLANET TECHNOLOGIES

<div><div><div>Planet Technologies, the Nation&rsquo;s leading Microsoft services provider to the public sector, is looking for a highly motivated individual to join our growing team as <b>Mid level Data Scientist</b>. In this role, you will be supporting impactful projects that make a difference for our country.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Builds, maintains, and improves dashboards, applications, and automations.</li><li>
Connects to APIs, system-to-system connections, and manual data transfers for ETL.</li><li>
Builds predictive risk models using statistical analysis.</li><li>
Applies AI/ML to extract insights from unstructured documentation.</li><li>
Develops and carries out full-service data calls, including data normalization and visualization.</li><li>
Creates business intelligence analysis and visualizations for management.</li><li>
Improves methodologies and tools for risk assessment.</li><li>
Researches and recommends business data storage/integration solutions.</li><li>
Develops user guides and documentation for BI products.</li><li>
Incorporates data science tools (SQL, R, Python, etc.) into services.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><ul><li><ul><li>
Strong proficiency with Power Platform, SharePoint, and InfoPath required.</li><li>
Excellent understanding of machine learning techniques and algorithms.</li><li>
Experience with common data science toolkits (R, Weka, NumPy, MATLAB, etc.) and BI tools (Power BI, Anaconda, SPSS).</li><li>
Experience connecting to and manipulating data from federal systems preferred.</li><li>
In absence of years of experience, certifications or past work may be used.</li><li>
Ability to work on site 5 days per week</li><li>
Ability to hold and maintain a Top-Secret level clearance</li><li>
#CJ</li></ul></li></ul></div></div>
<div><div>Planet Technologies is the leading provider of Microsoft Consulting Services to public sector and commercial organizations. Planet has significant experience in deploying business intelligence, cloud services, unified communications, and systems management with an emphasis building, deploying, and managing custom solutions that transform the business operations of federal government agencies.</div><div>
Planet Technologies does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law. Federal Agency Clearance Requirements may require up to a 10-year background investigation - US Citizenship (clearable) is required.</div><div></div><div><br>
Salaries for <b>Data Scientist, Mid at Planet Technologies range from $125,000 and $200,000.</b> Several factors will impact final pay offered to a successful candidate including but not limited to the type and years of experience within the job, clearance level, the type of years and experience within the industry, education, training, etc.</div><div></div><div><br>
Visit www.go-planet.com to learn more about us. Details about our benefits can be found here Planet Technologies Benefit Guide 2025-2026</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Data Scientist, Mid level

Join PLANET TECHNOLOGIES and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

PLANET TECHNOLOGIES

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Data Scientist, Mid level