Senior Data Modeling & Lead Data Scientist - Clearance Required   Job Locations:  US-VA-Tysons
Job ID:  2024-12133
# of Openings:  1
Category:  Data/Analytics
Overview  LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.
Responsibilities   Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components.
Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs.
Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow.
Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches.
Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions.
Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem.
Collaborate closely with peer technical leads to identify priorities, risks, and solutions.
Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks.
Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements.
Engage with cutting-edge data science techniques to address complex, large-scale data challenges.
Qualifications   Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience.
Minimum of 10 years' experience in a data science capacity.
Extensive experience applying Agile methodologies.
Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing.
Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python.
Well-versed in using MLflow and comparable tools.
Familiarity with Qlik, React or other data visualization platforms.
Robust analytical, conceptual, and problem-solving skills.
Active DoD Secret clearance; Top Secret clearance preferred.
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

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Lead Healthcare Data Scientist</h5>



Job Locations

US-OH-Dayton | US-VA-Tysons | US-Remote





Job ID

2024-12237



# of Openings

1



Category

Data/Analytics


































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Overview


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<p>At LMI, we're reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. </p>









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Responsibilities


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<p><strong>Position Expectations:</strong> </p><ul> Perform all required responsibilities and duties in accordance with LMI's Handbook and job description. <li>Actively engage in your role, make informed decisions, be accountable for all outcomes, and be a positive influence for LMI. </li><li>Deliver exceptional service to internal and external clients, partners, teammates. </li></ul> <p><strong>Duties:</strong> </p><p><strong>Leadership</strong> </p><ul> <li>Be an outspoken leader on the team, helping the client and Project Manager identify and prioritize issues, projects, and next steps. Also responsible for delegating other members of the technical team to execute technical projects and solutions. </li><li>Serve as the backup to the Project Manager as needed to plan for and run Scrum meetings such as Backlog Refinement, Sprint Planning, Sprint Review, Sprint Retrospective, and the Bi-Weekly Client/Team Check-in. </li><li>Help champion documentation of the team's internal processes and data discoveries. </li><li>Work closely with the Project Manager to complete monthly deliverables to include Validation Tracking, Release Notes, Architecture Documentationand End User Guides with FAQs, OMH Library Architecture Content Updates, Sprint Retrospective Report, and other ad-hoc requests by the client for reporting. </li><li>Work closely with the Project Manager to develop and execute a curriculum for the development of new and existing team members. </li><li>Provide a bridge for communication, strategy, and leadership between the functional and technical sides of the team - to include developing content for leadership communications about technical solutions, providing a bridge from the technical team to the functional leadership, and being the thought leaders amongst the technical team for big picture solutions. </li><li>Lead client meetings to gather/understand technical requirements, define a technical approach, and delegate tasking of team members. </li></ul> <p><strong>Data Analysis:</strong> </p><ul> <li>Collect, organize, model, and analyze healthcare related data using analytical and/or statistical tools. </li><li>Apply fundamental concepts, processes, practices, and procedures on technical assignments. </li><li>Provide correct and appropriate interpretation of data, applying knowledge to evaluation, analysis, and interpretation of data. </li><li>Develop useful methodologies for analyzing and presenting data analysis products using statistics, graphs, images and lists that communicate results to leadership. </li><li>Responsible to take identified, adjudicated data elements through the process of research, analysis, documentation and creation of various cleansing/conditioning techniques to deliver user/system ready data. </li><li>Perform data quality assessments, identifies and prioritizes improvements. </li><li>Assist other functional area analysts as needed with data analysis and generation of SQL to be used in that analysis. </li><li>Identify and solves issues concerning data management to improve data quality. </li><li>Improve data foundational procedures, guidelines and standards. </li><li>Assist with conversion coding in ETL tool and support conversion design as required. </li><li>Assist with executing data conversions for multiple functional areas within multiple IT environments. </li><li>Work with management and/or client to develop and understand work product specifications. </li></ul> <p><strong>General: </strong> </p><ul> <li>Communicate effectively, both orally and written, to varied levels of the organization to include technical personnel, business managers, and leadership. </li><li>Be proactive about his/her own professional development and in-the-loop about internal LMI data training opportunities to share with the team. </li><li>Additional duties as assigned. </li></ul>









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Qualifications


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<p><strong>Required:</strong> </p><ul> <li>Bachelors Degree in Business, Computer Science, Health Informatics, or related field. </li><li>Microsoft SQL training and relevant certification(s). </li><li>Experienced in Microsoft Power BI and/or SSRS reporting tools. </li><li>5+ years of demonstrated experience in the following: </li><li>SQL, T-SQL, and Visual Studio skills to collect, organize, model, and analyze data. </li><li>Skills using SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SharePoint, PowerShell scripts, and Power Platform (Power BI, Power Apps, Power Pages, Power Automate) for automation, documentation, and reporting. </li></ul> <p><strong>Travel:</strong> 0-10% </p><p><strong>Security Requirement:</strong> Must provide favorable background check and National Agency Check with Inquiries (NACI) </p><p><strong>Location:</strong> Remote (prefer someone physically located in Dayton, OH or NCR) </p> <p><strong>Preferred:</strong> </p><ul> <li>Medical/Clinician domain background. </li><li>Experience in healthcare data analytics utilizing back-end system data. </li><li>Experience working for the United States Department of Veterans Affairs, or other similar government agencies. </li><li>Experience leading a team of other technical resources such as Data Analysts, Data Scientists, and/or Data Engineers. </li><li>Experience managing the technical delivery of a contract and providing back-up support to a Program/Project Manager to ensure continuity when needed. </li><li>Certified ScrumMaster. </li></ul> <p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. </p> <p>The maximum salary range for this role is -$90,000. </p>













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<br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org<br>
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. <br>

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<br><br><h5 class="iCIMS_Header"> <br>Data Scientist (SME) - TS/SCI with Polygraph Required </h5><br><br>Job Locations <br> <br>US-VA-McLean<br><br>Job ID <br> <br>2022-8895<br><br># of Openings <br> <br>1<br><br>Category <br> <br>Data/Analytics<br><br><h5 class="iCIMS_InfoMsg iCIMS_InfoField_Job"><br><br>Overview<br><br></h5><p>LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. </p><p>Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor. </p><h5 class="iCIMS_InfoMsg iCIMS_InfoField_Job"><br><br>Responsibilities<br><br></h5><br><br><ul>Work with a project-based team comprised of staff and other contractors. <li>Work closely with the Sponsor to review and track data science requirements and provide regular status updates. </li><li>Consult with customers to determine present and future user needs for Sponsor consideration. </li><li>Utilize project management systems such as a Content Management System (CMS) (e.g. Wordpress), Confluence and JIRA to define and track requirements. </li><li>Engage frequently with customers and stakeholders to clearly explain the project status and results in both written and verbal or multimedia briefings. </li><li>Provide traceability within program documents and the overall computing environment and architecture. </li><li>Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor. </li><li>Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard. </li><li>Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. </li><li>Clean, parse and transform data from multiple file types into appropriate database architecture (e.g. SQL, noSQL, graph) which performs at scale. </li><li>Develop self-guided training curriculum which includes detailed Jupyter Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software. </li><li>Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices. </li></ul><br><br><h5 class="iCIMS_InfoMsg iCIMS_InfoField_Job"><br><br>Qualifications<br><br></h5><br><br><h5>Required </h5><ul> <li>Bachelor's Degree in a quantitative discipline (e.g., related discipline) </li><li>Minimum 6-8 years experience </li><li>Demonstrated experience programming with Python. </li><li>Demonstrated experience with general Linux computing and advanced bash scripting. </li><li>Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS. </li><li>Demonstrated experience processing data sources containing structured or unstructured data. </li><li>Demonstrated experience developing data pipelines with NiFi to bring data into a central environment. </li><li>Demonstrated experience delivering results to stakeholders through written documentation and oral briefings. </li><li>Demonstrated experience using code repositories such as Git. </li><li>Demonstrated experience using Elastic and Kibana technologies. </li><li>Demonstrated experience working with multiple stakeholders. </li><li>Demonstrated experience documenting such artifacts as code, Python packages and methodologies. </li><li>Demonstrated experience using Jupyter Notebooks. </li><li>Demonstrated experience with machine learning techniques including natural language processing. </li><li>Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats. </li><li>Demonstrated experience developing tested, reusable and reproducible work. </li><li>Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics. </li><li>Must possess TS/SCI with polygraph. </li></ul> <h5>Desired </h5><ul> <li>Demonstrated experience with system configurations, development and design, specifically around enterprise systems. </li><li>Demonstrated experience communicating both verbally and in writing, when responding to emails, telephone calls and/or in person inquiries from organizational personnel. </li><li>Certification: <ul><li>ISACA Certified Information Security Manager (CISM) </li><li>ISACA Certified Information Systems Auditor (CISA) </li><li>ISC Certified Information Systems Security Professional (CISSP) </li><li>ISC Certified Cloud Security Professional (CCSP) </li><li>ISC Certified Authorization Professional (CAP) </li></ul> </li></ul> <p>#LI-SH1 </p> <p>Target salary range: $104,040 - $183,600. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications. </p> <p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. </p><h5 class="iCIMS_SubHeader iCIMS_SubHeader_Connect"><br> <br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org <br><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b> <br><br> </h5><br><br>We can recommend jobs specifically for you! <br><br>Click here to get started.

<h5 class="iCIMS_Header">
Data Scientist - Clearance Required</h5>



Job Locations

US-PA-Pittsburgh





Job ID

2024-12251



# of Openings

1



Category

Data/Analytics


































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Overview


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 LMI is seeking a skilled data scientist with expertise in modeling and a strong understanding of Army supply chain logistics at our client site in Pittsbugh PA - remote applicants welcome to apply. Successful candidates will demonstrate competency in advanced data modeling, supply chain analytics, project execution, critical thinking, leadership, relationship management, and business growth while upholding the highest standards of ethical behavior. <p>LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We operate completely free of political and commercial bias, and we are entirely aligned with the goals of our clients. Our clients value our specialized services in logistics, intelligence, homeland security, health care, and energy and environment markets. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. We offer a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flex time, and tuition reimbursement are a few of our many work-life benefits available to our employees.</p>









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Responsibilities


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<p>Key Responsibilities: </p><ul> Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions. <li>Define analytical strategies and engage stakeholders, including Army leadership. </li><li>Manage Agile data activities. </li><li>Execute complex data integration, modeling, and analysis to uncover actionable insights. </li><li>Develop sophisticated visualizations and dashboards to inform operational decisions. </li><li>Design innovative data management processes tailored to Army logistics. </li></ul>









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Qualifications


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<p>MINIMUM QUALIFICATIONS: </p><ul> <li>Active DoD Secret Clearance. </li><li>Graduate degree in computer science, engineering, or related field. </li><li>10+ years relevant experience. </li><li>Expertise in: <ul><li>US Army Logistics data </li><li>Big data technologies </li><li>Data visualization </li><li>Programming (Python, R, Spark, SQL) </li><li>Advanced analytics techniques (machine learning, statistical models) </li></ul> </li><li>Exceptional communication skills to convey technical findings to non-technical audiences. </li></ul> <p>DESIRED SKILLS </p><ul> <li>Master's degree or higher. </li><li>Previous DOD experience. </li><li>Palantir Foundry platform experience </li><li>Familiarity with secure data handling in DoD IT environments. </li></ul>













<h5 class="iCIMS_SubHeader iCIMS_SubHeader_Connect">
<br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org<br>
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. <br>

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<h5 class="iCIMS_Header">
Data Scientist - TS/SCI Required</h5>



Job Locations

US-FL-Tampa





Job ID

2023-10000



# of Openings

2



Category

Data/Analytics


































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Overview


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<p><strong>LMI: Innovation at the Pace of Need</strong> </p> <p>At LMI, we're reimagining the path from insight to outcome at the new speed of possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. </p> <p>LMI is seeking a skilled Data Scientist at the client site in Tampa, Florida. Successful Data Scientists demonstrate competency in leading guided, multifaceted analystic studies against large volumes of data. </p>









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Responsibilities


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<ul> Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions. <li>Possess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON. </li><li>Analyst must be able to transform data and analysis into informative data visualizations and/or interactive dashboards using open source and commercially available visualization and dashboard tools. </li><li>Demonstrate the ability to derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions. </li><li>Ability to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting. </li><li>Possess the ability to work in teams and independently. </li><li>Develop AI/ML models to enrich data providing further utility to the analysts. </li><li>Conducts complex data assessments to determine operational utility of proposed data sets in answering priority intelligence requirements. </li><li>Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools. </li><li>Discovers links and connections in disparate datasets providing context to intelligence analysts.Performance Duties: </li><li>Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method </li><li>Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges </li><li>Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts </li><li>Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data </li><li>Develop and deploy AI/ML models to enrich data holding in support of priority intelligence requirements </li><li>Create advanced analytic models leverage multi-modal datasets to answer complex intelligence questions </li></ul>









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Qualifications


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<p>REQUIRED: </p><ul> <li>Master's degree or bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. </li><li>Experience working with Python, R, Natural Language Processing (NLP), AI/ML Ops </li><li>2+ years of relevant experience in the field </li><li> Demonstrated experience applying data science methods to real-world data problems </li><li>Demonstrated experience developing and deploying AI/ML in support of decision making </li><li>Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. </li><li>Additional preferred qualifications include working with unstructured text and natural language processing. </li><li>Superior communication skills, both oral and written </li><li>This position requires an active security clearance at the <strong>TS/SCI level</strong>. You must be a US citizen. </li></ul> <p>DESIRED: </p><ul> <li>Master's degree or higher. </li><li>Previous DOD experience. </li><li>Working knowledge and experience with: SQL, noSQL, SQLAlchemy, Flask, Streamlit, Dash, React,Javascript, HTML/CSS, Spark, Application Programming Interfaces, Continuous Integration / Continuous Development (CI/CD </li></ul>













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<br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org<br>
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. <br>

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<h5 class="iCIMS_Header">
Data Scientist - TS/SCI with Polygraph Required</h5>



Job Locations

US-VA-McLean





Job ID

2024-11991



# of Openings

1



Category

Other


































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Overview


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<p>LMI is seeking a <strong>Data Scientist</strong>to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists tobuild new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission. </p>









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Responsibilities


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<ul> Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala); <li>Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges; </li></ul> <ul><li>Query databases using SQL with structured data and perform statistical analysis; </li><li>Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and </li><li>Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations. </li><li>Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools; </li><li>Think strategically about how to publish data visualizations and present analytic results; </li></ul> <ul><li>Support business decisions with ad hoc analysis; </li></ul>









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Qualifications


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<ul> <li>3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community. </li><li>3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory. </li><li>3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods. </li></ul> <ul><li>Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization. </li><li>Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products. </li><li>Active TS/SCI with polygraph required. </li></ul> <p>#LI-SH1</p>













<h5 class="iCIMS_SubHeader iCIMS_SubHeader_Connect">
<br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org<br>
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. <br>

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