data scientist

Radiance Technologies Inc.

<div>Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from August 1, 2026, through July 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries, and transforming data into actionable insights. Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and communicate analytical findings and recommendations to stakeholders.
Duties and Responsibilities<ul><li>
Perform research on structured and unstructured data sources using quantitative and qualitative metadata and content analytics.</li><li>
Construct and execute complex database queries to support mission requirements.</li><li>
Collaborate across multidisciplinary teams to integrate data sources and solve mission challenges.</li><li>
Identify meaningful insights from large datasets and communicate findings and recommendations to Government stakeholders.</li><li>
Support data management activities within large-scale, enterprise data environments.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience).</li><li>
Five (5) or more years of experience as a Data Scientist or in a closely related analytical role.</li><li>
Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data within big-data environments.</li><li>
Experience performing complex data analysis and database queries.</li><li>
Active Top Secret/SCI security clearance.</li></ul>
Position Duration
This position supports a customer-funded effort with an anticipated period of performance from August 1, 2026 through July 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.
Salary Range
$150,000 - $175,000
Radiance Technologies 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 protected veteran status.</div>

Data Scientist

Inabia Software & Consulting Inc.

<div>To be noted: Due to the heightened security nature of this job, there will be a background check after two rounds before offer, then final interview with client. Please send US Citizen candidates.
Role: Data Scientist 
Location: Grand-Prairie, Texas 75050 
Work Model: Onsite (4 days a week work from office Mon - Thu) 
Duration: Fulltime Employee
Numbers of Interview: 3 to 4
Mode of Interviews &ndash; Virtual
Tentative start date &ndash; ASAP
Note: Relocation assistance will be provided by Nagarro. 
USD $148,500 ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. (For the right candidate - please negotiate best, even if above $148,500, and submit)
As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes:<ul><li>
Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).</li><li>
15 days of Paid Time Off (PTO).</li><li>
10 paid holidays (including 8 fixed holidays and 2 floating holidays).</li><li>
401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).</li></ul>
Must Have:<ul><li>
5+ years of experience required as Data Scientist (No limit for a right candidate)</li><li>
Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.</li><li>
Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.</li></ul> 
Job Overview:<ul><li>
Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.</li><li>
Strong communicator &mdash; able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.</li><li>
Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.</li></ul> 
Good to have skills:<ul><li>2-4 years working in manufacturing domain.</li><li>Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.</li><li>Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.</li></ul><ul><li>
Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.</li><li>
Solid grounding in statistical methods &mdash; time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.</li></ul>
6YN2PCHqOY</div>

Teledyne FLIR

<div>Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. 
Job Description 
Company Overview
Teledyne Brown Engineering, Inc. is an industry leader in engineered systems and advanced manufacturing. The Company provides full-spectrum systems engineering, integration, manufacturing, and lifecycle sustainment solutions to the marine, aviation, aerospace, defense, energy, and environment markets. Teledyne Brown has expertise in systems integration, technology development, hardware design, prototype development, system test and evaluation, advanced manufacturing, performance-based logistics solutions, and operations and maintenance.
Position Background and Scope
Teledyne Brown Engineering has provided software engineering, modeling and simulation, and advanced analytics in support of DoD operational readiness since 2001.
We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to provide insights and solve problems in support of DoD missions and force readiness.
This team provides custom analytic findings and develops, maintains, and delivers decision support capability tools for DoD customers to include administrators and planners at Echelons I, II, and III. The primary objective of the role is to work directly with our customers to identify requirements, develop decision support tools, and support the customer community in their use of the tools.
Teledyne combines global diversity and presence with local flexibility and autonomy. Our teams are committed to shared core values: trust, transparency, and accountability within a high-performance culture. Our employees are encouraged and empowered to do their best to exceed the expectations of our customers. 
Position Summary
Teledyne is seeking a Senior Data Scientist to lead advanced analytics efforts supporting Department of Defense healthcare and readiness initiatives. The candidate will work with internal subject matter experts, data scientists, Power Platform developers, UX/UI designers, and data engineers to identify opportunities and to execute and maintain projects of executive interest.
The candidate will work with internal and external (Government) leadership, managers, and technical staff across DoD organizations and develop technical solutions for complex business and operational problems. The candidate will participate in the planning and development of data products, dashboards, predictive models, and decision support tools that enable data-driven decision-making at senior leadership levels.
This is a hybrid remote work position while residing within commuting distance of Falls Church, VA to support occasional in-person meetings. Position will require occasional travel in support of customer requirements.
Position Responsibilities<ul><li>
Work closely with customers, managers, and technical teams to define program scope, goals, and deliverables</li><li>
Lead and manage a team of data scientists and analysts to develop long-term analytic products</li><li>
Direct and execute advanced analytics, including predictive modeling, statistical analysis, and machine learning</li><li>
Develop interactive dashboards and Power Platform applications (Power BI, Power Apps, Power Automate) to deliver actionable insights and decision support capabilities</li><li>
Respond to ad hoc requests for rapid analysis to support operational and strategic decisions</li><li>
Prepare and present briefings, reports, and visualizations for senior leaders and stakeholders</li><li>
Provide leadership for multi-disciplinary teams in a collaborative environment</li><li>
Collaborate with other team leads that are geographically dispersed to align and share resources when needed</li><li>
Author and review technical documentation to ensure quality and accuracy</li><li>
Drive continuous improvement of analytic methodologies, tools, and workflows</li></ul>
Qualifications<ul><li>
Strong experience applying data science, statistics, and operations research techniques</li><li>
Proficiency in programming languages such as Python, R, SQL</li><li>
Experience developing data visualizations and dashboards</li><li>
Experience leading analytic projects and mentoring team members</li><li>
Familiarity with cloud environments (AWS, Azure)</li><li>
Experience working with DoD or Military Health System data preferred</li></ul>
Education and/or Experience
Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Mathematics, or related field with 4+ years of relevant experience, including leadership experience. Master's degree preferred.
Strong communication skills with ability to engage stakeholders at all levels.
Possesses or is able to obtain and maintain a SECRET security clearance.
Citizenship Requirements
Due to classified work at the facility and related access restrictions, successful applicants must be U.S. citizens and must be able to gain and maintain a DoD Secret level clearance.
#TBE 
Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.
Teledyne 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 veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.</div>

Tombras

<div>Tombras, a 600+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist. 
You&rsquo;ll be joining one of the top independent agencies in North America. Connecting Data &amp; Creativity for Business Results&reg; is working for our clients and creating a flywheel affect fueling both client and agency growth. You&rsquo;ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year. 
Why Join Tombras Analytics?
Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth. 
This role will be foundational to our Data Science Team, which will partner with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales. 
Where you'll be working: Knoxville, TN. Relocation assistance may be provided. 
What you'll be doing:<ul><li>
Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.</li><li>
Developing the framework and approach for marketing science and develop bespoke offerings.</li><li>
Employing best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.</li><li>
Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.</li><li>
Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.</li></ul>
What you bring:<ul><li>
An M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research</li><li>
(Optional) Experience in marketing science or advertising analytics</li><li>
Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models</li><li>
Strong competency with python, R, SQL, and other commonly used statistical tools</li><li>
Client services mindset</li><li>
Ability to influence clients and partner agencies to act on insights</li><li>
Ability to distill complicated information into succinct graphical presentations for senior stakeholders.</li></ul> 
Why you'll want to work at Tombras:<ul><li>
Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.</li><li>
Dog-friendly offices</li><li>
Flexible PTO</li><li>
Generous parental leave for primary and non-primary caregivers</li><li>
Medical (PPO or High Deductible option) for employee + dependents</li><li>
401(k) Participation</li><li>
Employer-paid Dental &amp; Vision</li><li>
A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.</li></ul>
Want more reasons to work at Tombras? Check out the latest Tombras News and Our Values. 
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.
Tombras is an E-Verify employer and participates in the E-Verify program. 
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds. 
Remote employees must be based in the United States.</div>

MANTECH

<div>MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote. 
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of &ldquo;big data&rdquo; solutions to promote efficient trade and travel. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate trade and travel. 
Responsibilities include but are not limited to:<ul><li>
Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>
Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>
Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>
Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li></ul> 
Minimum Qualifications:<ul><li>
HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 years</li><li>
Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems</li><li>
Experience with programming languages including: R, Python, Scala, Java.</li><li>
Experience with SQL programming</li><li>
Experience constructing and executing queries to extract data in support of EDA and model development</li><li>
Experience with unsupervised and supervised machine learning techniques and methods</li><li>
Experience performing data mining, analysis, and training set construction</li></ul>
Preferred Qualifications<ul><li>
Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent</li><li>
Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li><li>
Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>
Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)</li><li>
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)</li><li>
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)</li></ul> 
Clearance Requirements:<ul><li>
Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.</li></ul> 
Physical Requirements:<ul><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.</li></ul></div>

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Location : Cary, NC (Onsite/Hybrid from Day 1)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.
</div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Qualifications</h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications</h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: 85786- 97273
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Survice Engineering Company

<div>Join Us in Making a Difference in the Lives of Those Defending Our Nation!
Why SURVICE?
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!
Position
Computational Data Scientist<ul><li>
Location: Aberdeen Proving Ground, Maryland</li><li>
Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required</li><li>
Salary: $115,000 - $130,000 Depending on Experience and Education</li><li>
Travel: 5%</li><li>
Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.</li></ul>
Position Summary
SURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.
Primary Duties and Responsibilities<ul><li>
Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.</li><li>
Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.</li><li>
Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.</li><li>
Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.</li><li>
Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.</li><li>
Prepare presentations and written documents summarizing efforts in Government format</li></ul>
Minimum Qualifications of Computational Data Scientist 
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.<ul><li>
MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.</li><li>
Practical experience in applying data science to model complex real-world problems.</li><li>
Proficient in using Python and AI/ML models.</li><li>
Experience in communicating results through reports and presentations.</li></ul>
About Us
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&amp;S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering. 
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.</div>

Computational Data Scientist

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