<h3>Job Description</h3><div>Job Description<div>Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021!   Belay Technologies seeks a Data Scientist of all levels to join our Intel team. Depending on the level of the Data Scientist, the qualifications and experience will vary. All Data Scientist shall support the development of tools to migrate data into a NiFi environment, monitor dataflows using NiFi, identify interuptions to dataflow, support operations and maintenance, to include improvements, of legacy tools.Entry-Level Data Scientist:Candidates should have the following qualifications:  <ul><li>TS/SCI with Full Scope poly is required.</li><li>Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science)</li><li>One year of experience analyzing datasets and developing analytics</li><li>One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.</li></ul>Candidates are required to have the following skills:<ul><li>Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred.</li><li>Support algorithm development; support queries from analyst</li><li>Python; Java, MySQL, Oracle, Angular, NiFi</li></ul>Mid-Level Data Scientist:Candidates should have the following qualifications:  <ul><li>TS/SCI with Full Scope poly is required.</li><li>Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science). </li><li>An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. </li><li>A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.</li><li>Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.  </li></ul>Candidates are required to have the following skills:<ul><li>Experienced with analyzing datasets</li><li>Experienced with developing analytics</li><li>Experienced with programming with data analysis software such as R, Python, SAS, or MATLAB.</li><li>Support algorithm development; support queries from analysts</li><li>Python; Java, MySQL, Oracle, Angular, NiFi</li></ul>Senior Data Scientist:Candidates should have the following qualifications:  <ul><li>TS/SCI with Full Scope poly is required.</li><li>Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). </li><li>An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. </li><li>A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.</li><li>Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. </li></ul>Candidates are required to have the following skills:<ul><li>Experienced with analyzing datasets and developing analytics</li><li>Experienced with programming with data analysis software such as R, Python, SAS, or MATLAB. </li><li>Support algorithm development; support queries from analysts</li><li>Python; Java, MySQL, Oracle, Angular, NiFi</li><li>MS Office Products</li></ul>Perks and Benefits: <ul><li>8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program </li><li>10% matching in 401(k) contributions vested on day one </li><li>$5,000 annual training/tuition </li><li>Student Loan Repayment Program </li><li>100% company funded HSA </li><li>Rich medical coverage (100% coinsurance) </li><li>Dental coverage including orthodontia </li><li>Up to $420,000 in life insurance, premiums 100% company funded </li><li>Amazon Prime, gym reimbursement, monthly lunches, games and prizes </li><li>Pet adoption program, generous referral bonus program, fun events, and more! </li></ul> Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.Key words: Full Clearance, Fort Meade, SDVOSB, Service-Disabled Veteran-Owned Small Business, DoD, full scopePowered by JazzHRXCq2DFV6Ah</div></div>

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