Data Scientist - AI focused (2026-0126)

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    "description_html": "<span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\">Acclaim Technical Services, founded in 2000, is a leading cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement and enterprise operations company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.<br><br>We are currently recruiting for <b>Data Scientist</b> with a <b>TS/SCI w/ poly</b> to work in support of our Engineering Services and Solutions Division in Annapolis Junction, MD.  This position is on one of our key prime contracts.</span></span></span><br><br><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\">In this role, you will Build and Develop AI models, analyze algorithms and protocols, build, test and refine solutions for reliability and relevance, and tune input and model parameters.  You will also develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.<br><br>Ideal candidate will have a 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) and at least 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. 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. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.<br><br>At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here <a href=\"https://acclaimtechnical.com/employee-resources/\" style=\"color:#467886;text-decoration:underline;\">Employee Resources</a>.<br><br>Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.<br><br>The target salary for this position is $240,000.00</span></span></span><p><span style=\\\"font-size:14px\\\"><strong>EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT  </strong></span></p>\n\n<p><span style=\\\"font-size:14px\\\">ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.</span></p>",
    "description_text": "Acclaim Technical Services, founded in 2000, is a leading cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement and enterprise operations company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.\nWe are currently recruiting for Data Scientist with a TS/SCI w/ poly to work in support of our Engineering Services and Solutions Division in Annapolis Junction, MD.  This position is on one of our key prime contracts.\n In this role, you will Build and Develop AI models, analyze algorithms and protocols, build, test and refine solutions for reliability and relevance, and tune input and model parameters.  You will also develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.\nIdeal candidate will have a 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) and at least 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. 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. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.\nAt ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources .\nPay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.\nThe target salary for this position is $240,000.00 EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT\n ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.",
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      "description": "<span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\">Acclaim Technical Services, founded in 2000, is a leading cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement and enterprise operations company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.<br><br>We are currently recruiting for <b>Data Scientist</b> with a <b>TS/SCI w/ poly</b> to work in support of our Engineering Services and Solutions Division in Annapolis Junction, MD.  This position is on one of our key prime contracts.</span></span></span><br><br><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\">In this role, you will Build and Develop AI models, analyze algorithms and protocols, build, test and refine solutions for reliability and relevance, and tune input and model parameters.  You will also develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.<br><br>Ideal candidate will have a 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) and at least 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. 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. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.<br><br>At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here <a href=\"https://acclaimtechnical.com/employee-resources/\" style=\"color:#467886;text-decoration:underline;\">Employee Resources</a>.<br><br>Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.<br><br>The target salary for this position is $240,000.00</span></span></span><p><span style=\\\"font-size:14px\\\"><strong>EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT  </strong></span></p>\n\n<p><span style=\\\"font-size:14px\\\">ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.</span></p>",
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