applied scientist

T-Mobile

<div><p>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!</p><p></p>
At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.<br>
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We are seeking a creative, and curious Senior Applied Scientist to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale.<br>
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We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.<p></p><div><div><div><div><div><div><div><div><div><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.</p></li><li><p>
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.</p></li><li><p>
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.</p></li><li><p>
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.</p></li><li><p>
Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
</p></li></ul><p></p><p><b>Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)</p></li><li><p>
4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)</p></li><li><p>
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)</p></li><li><p>
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)</p></li><li><p>
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.</p></li><li><p>
Advanced knowledge of cloud-based services (GCP, AWS)</p><p>
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.</p></li><li><p>
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.</p></li><li><p>
Experience operating production machine learning and data systems in cloud and containerized environments.</p></li><li><p>
Experience in AdTech and GIS or geospatial data processing is a plus.</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><ul><li><p>
At least 18 years of age</p></li><li><p>
Legally authorized to work in the United States</p></li></ul><p></p><p><b>
Travel</b>:<br>
Travel Required (Yes/No): No<br>
<br>
<b>DOT Regulated</b>:<br>
DOT Regulated Position (Yes/No): No<br>
Safety Sensitive Position (Yes/No): No</p><p></p>
Base Pay Range: $116,500 - $210,100<p></p>
Corporate Bonus Target: 15%<p></p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><p></p>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.<p></p><p>
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out <i>www.t-mobilebenefits.com</i><i>.</i></p><p></p><p>
Never stop growing!<br>
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable!<br>
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T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.<br>
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Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</p></div>

Senior Applied Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.<br>
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Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
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Articulate potential scientific challenges of ongoing or future customers&rsquo; needs or business problems, and present interventions to address them.<br>
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Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
<br>
<br>
A day in the life<br>
As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.<br>
<br>
About the team<br>
The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, &amp; personal.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III, Sponsored Products

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want to join an innovative team of scientists and engineers who use terabytes of data and create state-of-the-art Generative AI algorithms to push the boundaries of AI creativity? We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and Large Model training techniques that fuses general world knowledge, customer shopping behavior and Amazon e-commerce domain knowledge. We are looking for scientists who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry using intelligent and transformative AI applications. Working closely with cross-functional teams, you will be an essential part of every stage of AI development, from ideation and design to rigorous testing and successful deployment, ensuring our AI projects drive innovation and provide value for our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<br>
<br>
Key job responsibilities<br>
In this role you will leverage your background and expertise to lead developing foundational behavioral model for Amazon Stores using Generative AI, LLM and Large Model training techniques. On a day-to-day basis, you will:<br>
<ul><li>Research and implement new algorithms and architectures for generative AI applications.</li><li>Optimize model performance and scalability for inference and deployment.</li><li>Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation.</li><li>Experiment with SOTA methods to improve generative AI model quality.</li><li>Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>2+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Strong understanding of machine learning, deep learning, and generative AI principles and algorithms.</li><li>Proficiency with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, scipy etc.</li><li>Ability to work with large datasets and knowledge of data preprocessing techniques such as Hadoop, Spark etc..</li><li>Familiarity with natural language processing (NLP) and computer vision for generative AI applications.</li><li>Strong problem-solving and critical thinking skills and excellent communication and teamwork abilities to collaborate with cross-functional teams.</li><li>Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist (GenAI/LLM), Sandstone

propio

<div>Description:<p></p><p><br>
Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you&rsquo;re passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.</p><p>
We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.</p><p>
Propio is hiring an <b>AI Data Strategy Engineer / Applied Scientist, LLM Data</b> to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.</p><p>
This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.</p><p>
The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.</li><li>
Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.</li><li>
Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.</li><li>
Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.</li><li>
Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.</li><li>
Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.</li><li>
4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.</li><li>
Strong hands-on experience with Python, SQL, and dataset curation pipelines.</li><li>
Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.</li><li>
Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.</li><li>
Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.</li><li>
Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.</li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><ul><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.</li><li>
Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.</li><li>
Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.</li><li>
Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.</li></ul></div>

AI Data Strategy Engineer / Applied Scientist, LLM Data

Keysight Technologies

<div>Overview:
<div>
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.</div><div></div><div><br>
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.</div><div></div><div><br>
As an <b>Applied Data Scientist</b>, you&rsquo;ll operate at the intersection of data engineering, data science, and machine learning. You&rsquo;ll design and implement large-scale data architectures, develop robust data pipelines, and build high-quality ML models that integrate simulation and measurement data from diverse domains.</div><div><br>
Your work will directly influence Keysight&rsquo;s advanced R&amp;D initiatives, from algorithm development to AI-assisted engineering tools.</div><br>
<div></div>
Responsibilities:
<ul><li><div>
Partner with internal engineering and data teams to identify key data sources, define feature requirements, and align data standards across organizations.</div></li><li><div>
Design, implement, and maintain <b>data lakes</b>, <b>databases</b>, and <b>ETL/ELT pipelines</b> (Snowflake, Databricks, SQL, Python).</div></li><li><div>
Integrate, clean, and align simulation, measurement, and operational data for scalable AI/ML model development.</div></li><li><div>
Conduct <b>exploratory data analysis</b>, <b>dimensionality reduction</b> (e.g., PCA), <b>clustering</b>, and <b>regression</b> to extract insights.</div></li><li><div>
Develop and validate ML models using <b>tree-based methods</b> (XGBoost, LightGBM, Random Forests) and <b>Bayesian Optimization</b> for tuning.</div></li><li><div>
Apply <b>signal processing</b> and <b>data augmentation</b> techniques to improve data quality and coverage.</div></li><li><div>
Document data lineage, feature definitions, and modeling rationale for reproducibility and transparency.</div></li><li><div>
Communicate insights and recommendations to stakeholders, influencing data-driven decisions across R&amp;D and product teams.</div></li></ul>
Qualifications:<div></div><ul><li><div><br>
Master&rsquo;s or PhD in <b>Data Science, Computer Science, Electrical Engineering, Statistics</b>, or related field.</div></li><li><div>
1+ years&rsquo; experience as a <b>Data Scientist / Applied Data Scientist</b></div></li><li><div>
Proven ability to <b>build and maintain scalable data infrastructures</b> (data lakes, schemas, pipelines).</div></li><li><div>
Strong programming skills in <b>Python</b> (pandas, numpy, scikit-learn), <b>SQL</b>, and optionally <b>C++</b>.</div></li><li><div>
Proficiency with <b>Snowflake, Databricks</b>, or similar big-data environments.</div></li><li><div>
Hands-on expertise in <b>tree-based ML techniques</b> and <b>statistical modeling</b>.</div></li><li><div>
Familiarity with <b>Bayesian Optimization</b> and <b>feature engineering for time-series or signal data</b>.</div></li><li><div>
Ability to move fluidly between <b>data exploration, engineering, and modeling</b> tasks.</div></li></ul><div></div><div><b><br>
Desired Qualifications</b></div><ul><li><div>
Experience in <b>data architecture design</b>, schema governance, or cross-team data standards.</div></li><li><div>
Knowledge of <b>MLOps</b> principles for productionizing models and maintaining pipelines.</div></li><li><div>
Experience with <b>metadata management</b> and <b>feature store design</b>.</div></li><li><div>
Prior exposure to environments combining <b>simulation and real-world measurement data</b>.</div></li></ul><div></div><p><br>
Careers Privacy Statement<br>
<br>
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.</p><p></p><p><br>
The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.</p><p></p><p><br>
California Pay Range: MIN $117,750- MAX $196,250</p><p>
Colorado Pay Range: MIN $109,030 - MAX $181,720</p><p></p><p><br>
Note: For other locations, pay ranges will vary by region.</p><p></p><p><br>
US Employees may be eligible for the following benefits:</p><ul><li>Medical, dental and vision</li><li>Health Savings Account</li><li>Health Care and Dependent Care Flexible Spending Accounts</li><li>Life, Accident, Disability insurance</li><li>Business Travel Accident and Business Travel Health</li><li>401(k) Plan</li><li>Flexible Time Off, Paid Holidays</li><li>Paid Family Leave</li><li>Discounts, Perks</li><li>Tuition Reimbursement</li><li>Adoption Assistance</li><li>ESPP (Employee Stock Purchase Plan)</li></ul></div>

Applied Data Scientist

GRVTY

<div><p><b>What Impact You'll Have
</b></p><p>Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world&rsquo;s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We&rsquo;d love to hear from you!
</p>
<p>We are seeking an Applied Scientist passionate about building next-generation neuro-symbolic AI. In this role, you will be not just applying AI technology but helping to build the next-generation version of that technology. You will be extending the cutting edge of deep learning and machine learning technologies, with novel integration with technologies including symbolic knowledge, probabilistic programming and Bayesian reasoning, automatic program synthesis, combinatoric optimization, and more. You will be collaborating with researchers, engineers, and subject-matter experts to build core technologies and deployable AI solutions solving complex problems with high impact on national security and society.
</p>
<p><b>What You'll be Owning:
</b></p><ul><li>Design, architect and implement state-of-the-art AI frameworks and solutions
</li><li>Debug, profile, and refine complex AI systems
</li><li>Collaborate with and/or manage software engineers and scientists
</li><li>Lead or contribute to writing reports and papers
</li><li>Foster relationships with customers
</li><li>Develop and manage highly innovative R&amp;D programs
</li></ul><p><b>What You Must Have:
</b></p><ul><li>Bachelor&rsquo;s degree in computer science or related field
</li><li>U.S. Citizenship with the ability to obtain a security clearance
</li><li>3+ years experience building ML/AI systems or a completed graduate degree (M.S. or PhD) with academic research experience in ML/AI systems
</li><li>Moderate to advanced proficiency in Python
</li><li>Good fundamental knowledge in probability, multivariable calculus, linear algebra, and related technical areas
</li><li>Familiarity with Linux systems and development
</li><li>Motivated to learn and apply new technologies
</li><li>Ability to accommodate a hybrid schedule (60% onsite 40% remote)
</li></ul><p><b>What Would be Nice to Have:
</b></p><ul><li>5+ years of post graduate experience building AI/ML systems
</li><li>Experience with product deployment
</li><li>Experience as a writer or cowriter to DoD proposals/grants
</li><li>Demonstrated effectiveness in delivering complex AI / ML solutions to end-users from concept to deployment
</li><li>Demonstrated effectiveness in strategically developing complex AI codebases over months-to-years
</li><li>Broad knowledge across a diversity of computer science research, including programming languages, knowledge representation, reasoning, optimization, robotics, computer vision, etc. a plus</li></ul></div>

HAI - Applied Scientist, AI & Deep Learning (mid to senior level)

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Top Secret</div>
</div><div></div><div>Category
<div>Data Science and Data Engineering</div>
</div><div></div><div>Locations
<div>Fort Bragg, North Carolina
<br>
Jacksonville, North Carolina
<br>
Joint Base Lewis-McChord, Washington
<br>
Fort Campbell, Kentucky
</div><i>(</i><i>Onsite Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Data Analysis</p>
</div><div><p>Data Analytics</p>
</div><div><p>Data Science</p>
</div><div><p>Data Visualization</p>
</div><div><p>Statistics</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ210954</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p>Seize your opportunity to make a personal impact as Data Scientist I supporting mission critical work on an exciting program. GDIT is your place to make meaningful contributions to challenging projects, build your skills, and grow a rewarding career.</p>
<p></p><p>At GDIT, people are our differentiator. As a Human Performance Data Scientist I supporting our customer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Human Performance Data Scientist I joining our team.</p>
<p></p><p>The Human Performance (HP) Data Scientist I supports the program by conducting basic data entry, data cleaning, and performance analysis that directly contributes to the readiness and resilience of Special Operations Forces (SOF) personnel. The position is designed to maximize the accuracy, integrity, and applied use of HP data across domains, with priority on SOF Operators and Direct Combat Support personnel.</p>
<p></p><p><b>HOW A HUMAN PERFORMANCE DATA SCIENTIST I WILL MAKE AN IMPACT:</b></p>
<p></p><ul><li>The Human Performance Data Scientist I is responsible for entering, cleaning, and preparing HP data collected through program initiatives.</li>
<li>Working with program staff and the Government biostatistician, the Human Performance Data Scientist I assist in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information.</li>
<li>Assists in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information.</li>
<li>Collaborates with strength coaches, dietitians, athletic trainers, physical therapists, psychologists, and cognitive enhancement specialists to identify opportunities for meaningful human performance data collection.</li>
<li>Supports preparation of basic reports and presentations that communicate trends, participation metrics, and readiness insights for program leadership.</li>
<li>The contractor receives access to Government systems and uses these systems to manage and analyze human performance data.</li>
</ul><p></p><p><b>WHAT YOU&rsquo;LL NEED TO SUCCEED:</b></p>
<p></p><p><b>EDUCATION:</b> Bachelor&rsquo;s degree in quantitative science, social science or related discipline.</p>
<p></p><ul><li>Proficient with the suite of Microsoft Office programs, including Word, Excel and Access.</li>
<li>Basic proficiency with commonly used statistical software applications such as SPSS, SAS, or R.</li>
<li>Proficiency may be demonstrated through prior work history in sport science, military human performance, healthcare, research, or through a history of publications.</li>
<li>Possess excellent communication skills and shall be highly detail oriented and organized</li>
</ul><p></p><p><b>LOCATION:</b> Various CONUS SITES</p>
<p></p><p><b>CLEARANCE: </b>Ability to obtain and maintain Secret or Top-Secret Clearance.</p>
<p></p><p><b>This is a contingent posting, expected to start in 2026.</b></p>
<p></p><p><b>GDIT IS YOUR PLACE:</b></p>
<ul><li>401K with company match</li>
<li>Comprehensive health and wellness packages</li>
<li>Internal mobility team dedicated to helping you own your career</li>
<li>Professional growth opportunities including paid education and certifications</li>
<li>Cutting-edge technology you can learn from</li>
<li>Rest and recharge with paid vacation and holidays</li>
</ul></div></div><p></p><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>0 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $72,877 - $98,599. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Human Performance Data Scientist I

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