product data scientist

ZAP Surgical Systems, Inc.

<div>
 <p>
  <strong>
   About the role
  </strong>
 </p>
 <p>
  No scalpel. No blood. No hospital bunker. The ZAP-X treats tumors and other conditions deep in the brain with a self-shielding gyroscopic robot that steers radiation around the head to sub-millimeter precision &mdash; built to put world-class radiosurgery within reach of patients everywhere, not just a handful of elite centers. You&rsquo;ll join our Product team as a hands-on data scientist, working closely with the Director of Product Management to turn data from our global fleet &mdash; treatment plans, delivery and imaging data, system telemetry, and quality records &mdash; into models, analyses, and insights that shape what we build. It&rsquo;s a build-heavy role with room to grow: real modeling problems, direct mentorship, and a front-row seat to how AI is reshaping radiosurgery. You&rsquo;ll work across software, clinical, quality, and service teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll do
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Shape the future of AI-assisted treatment planning and delivery.
   </strong>
   Working closely with the Director of Product Management, you&rsquo;ll evaluate how AI capabilities &mdash; built in-house or brought in through partners &mdash; perform on real cases, building the baselines and benchmarks behind the call and helping define what &ldquo;good enough&rdquo; looks like. Engineering builds and runs the production systems; you do the hands-on analysis and modeling behind the direction.
  </li>
  <li>
   <strong>
    Tell the story in our data.
   </strong>
   Use statistical and causal modeling to turn treatment, outcomes, and fleet data into insights that inform leadership&rsquo;s decisions &mdash; how a new feature changes treatment efficiency or patient outcomes across sites, and how the product is actually used, to help sharpen what we build next.
  </li>
  <li>
   <strong>
    Catch problems early.
   </strong>
   Build predictive and anomaly-detection models, and the early-warning signals on top of them, that surface reliability and quality issues &mdash; and support the quality team&rsquo;s complaint trending and post-market surveillance &mdash; before they escalate into complaints or downtime.
  </li>
  <li>
   <strong>
    Make data self-serve.
   </strong>
   Build dashboards and AI-assisted tooling so quality, operations, and service teams can investigate issues and answer routine questions for themselves.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your first 12 months
  </strong>
 </p>
 <p>
  By the end of your first year, you&rsquo;ll have:
 </p>
 <ul>
  <li>
   Ramped fast &mdash; leaning on AI tools to get up to speed on ZAP&rsquo;s data and domain in weeks, not months &mdash; and shipped your first models into use.
  </li>
  <li>
   Put predictive and anomaly-detection models to work flagging reliability and quality issues early for the service and quality teams.
  </li>
  <li>
   Delivered analyses across product, clinical, and fleet questions that leadership acted on.
  </li>
  <li>
   Helped evaluate at least one AI planning or delivery capability, building the baselines and benchmarks behind the recommendation.
  </li>
  <li>
   Built AI-assisted self-serve tooling that lets other teams query the data directly, not just read static dashboards.
  </li>
  <li>
   Become a go-to person for a meaningful slice of ZAP&rsquo;s data, on a clear path to broader scope.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for (the essentials)
  </strong>
 </p>
 <p>
  Typically, around 3 years of data science experience.
 </p>
 <ul>
  <li>
   A Bachelor&rsquo;s or Master&rsquo;s in a quantitative field &mdash; computer science, statistics, engineering, physics, or similar &mdash; or equivalent hands-on experience.
  </li>
  <li>
   Proficient in Python, with a solid grounding in statistics and core ML methods.
  </li>
  <li>
   Hands-on experience building models or analyses end to end &mdash; from messy data to a result someone actually used.
  </li>
  <li>
   Clear communication &mdash; you can explain a finding to a non-technical audience.
  </li>
  <li>
   Eager to learn the domain and grow into bigger problems.
  </li>
 </ul>
 <p>
  <em>
   You don&rsquo;t need to tick every box below. If you&rsquo;re strong on the essentials and excited by the mission, we&rsquo;d like to hear from you.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Healthcare, medical-device, or other regulated-industry experience.
  </li>
  <li>
   Experience with time-series, anomaly detection, or causal inference.
  </li>
  <li>
   Familiarity with imaging or computer-vision ML.
  </li>
  <li>
   Comfortable querying data with SQL.
  </li>
  <li>
   Exposure to dashboarding or analytics tooling.
  </li>
 </ul>
 <p>
  This role could suit someone from a data science, ML, or analytics background who wants to build and grow &mdash; we care more about how you think with data than your exact title today.
 </p>
</div>


Product Data Scientist

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>8 years of work experience using analytics to solve product or business issues, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>8 years of work experience using analytics to solve product or business issues, performing statistical analysis, and coding (e.g., Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google for Education develops educational products, platforms, and business solutions to support teaching and learning globally by bringing Google technology to students, teachers, and education leaders. In this role, you will help grow these products and platforms.</p><p>
The Education Data Science team plays a fundamental role in the success of Google for Education, by providing deep understanding of our business and product performance and developing insights to help drive strategic decisions.<br>
<br>
As Generative AI continues to evolve and becomes integrated with Workspace Education products, you will contribute to these developments. You will help shape new product experiences and develop innovative ways to evaluate the quality of the content and the user experience.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Build and manage relationships with investigative, engineering, and product leaders in partner product areas (PAs) to align on metric instrumentation, resolve data dependencies, and co-develop analyses that influence shared product roadmaps and resource allocation.</li>
<li>Define, own and evolve product/business success metrics. Report, analyze and forecast trends of key product/business metrics and make recommendations to improve them. Lead the design, analysis, and interpretation of product experiments.</li>
<li>Apply technical expertise with observational data analysis, modeling, and causal inference to answer the product/business questions.</li>
<li>Architect unified data pipelines and single-source-of-truth measurement frameworks by integrating cross-PA data sources to map end-to-end user journeys and evaluate cross-product performance.</li>
<li>Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Product Data Scientist, Education

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Operations Data Science (ODS) is a team of Data Scientists (Research and Analyst) experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.</p><p>
If you like using data, metrics, forecasts, statistics, operations research, analytical insights, strategic thinking and executive level business communications to optimize large spend decisions on Google's technical infrastructure, then you should consider joining ODS as a Data Scientist.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with cross-functional stakeholders to understand their business needs and frame analytical problems.</li>
<li>Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google&rsquo;s data center infrastructure.</li>
<li>Drive analysis and modeling, drawing from multiple analytical methods and choose the right method and level of complexity appropriate for the business challenges.</li>
<li>Engage broadly to identify, prioritize, frame, and structure complex and ambiguous challenges, where data science projects or tools can have the biggest impact. Measure business outcomes driven from the analytical recommendations.</li>
<li>Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into actionable business recommendations supported by technical documentation and presentations.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Operations

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><div><b>
Position Summary</b><br>
We are seeking a skilled and analytical <b>Senior Product Analyst</b> to lead the development and execution of a data-driven product roadmap. The ideal candidate will have a deep understanding of product analytics, strong problem-solving skills, and experience working with cross-functional teams to support strategic initiatives.<br>
<br>
As a Senior Product Analytics Associate, you will work closely with cross-functional teams including engineering, product, and clinical operations.<br>
<br>
<b>Roles and Responsibilities:</b></div><ul><li>
Define, track, and report on product metrics including performance and profitability</li><li>
Build and maintain robust data transformation models using dbt (or similar frameworks like Dataform or SQL-based ETL tools) to ensure analytics-ready datasets</li><li>
Build and maintain Power BI dashboards to track product health and monitor the success of product initiatives</li><li>
Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy.</li><li>
Develop ROI projections for analytics projects to prioritize deliverables by business impact</li><li>
Tell compelling stories through data, articulating technical information to a non-technical audience</li></ul><div><br>
<b>
Basic Qualifications:</b></div><ul><li>
Bachelor&rsquo;s degree in a technical field (Statistics, Data Science, CS, Engineering, or related)</li><li>
5+ years of experience in a technical product analytics or data science role</li><li>
Experience with dbt (Data Build Tool) or similar analytics engineering tools, including version control (Git)</li><li>
Experience with A/B testing, funnel analysis, and statistical methods (regression, clustering, or predictive modeling).</li><li>
Advanced proficiency in SQL and experience with Python or R</li><li>
Experience working with data engineering teams to develop data pipelines</li></ul><div><br>
<b>
Preferred Qualifications:</b></div><ul><li>
Power BI experience</li><li>
Familiarity with advanced causal inference techniques (e.g., instrumental variables)</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$92,700.00 - $185,400.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 07/25/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Sr Product Analytics Associate

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

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

<div></div><div><div><div>Clearance Level
<div>Secret</div>
</div><div></div><div>Category
<div>Data Science and Data Engineering</div>
</div><div></div><div>Location
<div>Sterling, Virginia</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Data Modeling</p>
</div><div><p>Data Science</p>
</div><div><p>Language Models</p>
</div><div><p>Machine Learning Algorithms</p>
</div><div><p>Python (Programming Language)</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ222918</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><div>Data Scientist Sr Principal
<br>
<br>
Deliver insights to help our clients turn data into action as a Senior Data Scientist at GDIT. Your work will provide transformative solutions to our clients&rsquo; big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients&rsquo; mission and on your career.
<br>
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At GDIT, people are our differentiator. As a Data Scientist Senior Principal you will help ensure today is safe and tomorrow is smarter.
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HOW A DATA SCIENTIST SR PRINCIPAL WILL MAKE AN IMPACT
<ul><li>Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges</li></ul></div>
<ul><li><p>Investigates, analyzes, and formulates automated search and reporting from the customer environment or enclave.</p>
</li><li><p>Evaluates, tests, and recommends various AI/ML models and tools, including Cloud based module, third party module and open-source products.</p>
</li><li><p>Develop user interface and dashboard for search capability as well as reporting and monitoring capability within hybrid cloud environment or customer provided cloud environment.</p>
</li><li><p>Ensures that cybersecurity plans, controls, processes, standards, policies, and procedures are aligned with cybersecurity standards.</p>
</li><li><p>Identifies security risks and exposures, determines the causes of security violations and suggests procedures to halt future incidents and improve security</p>
</li><li><p>May coach and provide guidance to less-experienced professionals.</p>
</li><li><p>Other duties as assigned related to developing data science and AI/ML initiatives.</p><br>
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WHAT YOU&rsquo;LL NEED TO SUCCEED:
<ul><li>Education: Bachelors of Science
</li><li>Required Experience: 10+ years of related experience
</li><li>Security Clearance Level: Minimum Secret Clearance
</li><li>Travel: Occasional travel may be required
</li><li>Location: Hybrid
</li><li>US Citizenship Required
</li></ul></div><p></p><p>Required Technical Skills:</p>
<ul><li>Advanced Python programming skills with strong familiarity with AI/ML modules</li>
<li>Proficiency in machine learning algorithms</li>
<li>Proficiency in data modeling and visualizations</li>
<li>Proven experience as a software developer, particularly with language models</li>
<li>Working experience with Windows and Linux development environments</li>
<li>Excellent communication skills and ability to conduct presentations to various audiences, including senior leadership</li>
<li>Must be able to document design, pseudo codes, and flow chart for review and approval</li>
<li>Familiarity with Data Science related Mathematics including statistics and probability, linear algebra and calculus</li>
</ul><p></p><p>Key Responsibilities:</p>
<ul><li>Develop AI/ML tool based on customer requirements</li>
<li>Communicate and work with team members to meet contractor obligations</li>
<li>Engage with customer stakeholders and PMO team on a regular basis</li>
<li>Lead and devise innovative methods and techniques to leverage AI/ML to improve risk assessments</li>
<li>Provide input to project planning and weekly reports</li>
<li>Document design, tool&rsquo;s requirements and user guide</li>
<li>Setup and provide tool demos to stakeholders</li>
</ul><p></p><p>Own your career as a Data Scientist at GDIT. Here, you&rsquo;ll have the opportunity to build advanced AI/ML tools using cutting-edge technologies. Your work in data analytics at GDIT will have an impact on securing our clients&rsquo; missions and ensuring we anticipate the threats of tomorrow.</p>
<p></p><p>The Data Scientist will serve as a pivotal figure within the organization. This role demands a professional with a solid grasp of data modeling, machine learning, AI and language such as Python and SQL.</p>
<p></p><div>GDIT IS YOUR PLACE:
<ul><li>Full-flex work week to own your priorities at work and at home
</li><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></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>10 + 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 $152,150 - $205,850. 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.
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<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>

Senior Data Scientist - Government Clearance Required

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