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<br>Position Title<br>Adjunct Instructor-Computer Science (Pooled Position)<br><br><br>Job Category<br>Adjunct<br><br><br>Range Minimum<br><br>Position Type<br>Adjunct<br><br><br>Department<br>Information Technologies<br><br><br>Job Summary<br><br>All faculty positions have as their primary objective to create a dynamic teaching/learning environment for our students. Faculty responsibilities include teaching assigned courses and following the course description and course outline established by the department.&nbsp;<br>Teaching schedules may include day/evening courses and online/hybrid instruction and other instructional modalities. In accordance with the Adjunct Faculty collective bargaining agreement (CBA), additional activities may include participation in departmental initiatives, evidence of academic achievements, recognition by professional and community organizations, and other duties.&nbsp;<br>Specific teaching duties may include but are not limited to:&nbsp;<br><ul><li>Programming and related courses -Object Oriented programming (Java or Python)</li><li>Data structures and Algorithms</li><li>Computer Architecture &amp; Assembly Language</li><li>Software Engineering</li></ul><br><br><br>Qualifications - Education<br><br>Master’s Degree from a regionally accredited institution in appropriate discipline (Computer Science, Information Technology) required.&nbsp;<br>&nbsp;<br>Any technical certifications are a plus. ex: CCNA, CompTIA A+<br><br><br><br>Qualifications - Experience<br><br>Prior college or university teaching experience preferred, as is evidence of scholarly and/or professional activities.&nbsp;<br>Additional job experience may be substituted for a Master’s Degree in selected discipline<br><br><br><br>Qualifications - Skills<br><br>Demonstrated knowledge of discipline including current developments and technologies in related fields of specialization.&nbsp;<br>Ability to teach lab courses as appropriate.&nbsp;<br>Ability to work with diverse groups of students. Strong verbal and written communications skills.<br><br><br><br>Work Hours<br>

County College of Morris

Adjunct Instructor-Computer Science (Pooled Position)

<br><h4>Overview</h4><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.&nbsp;</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.&nbsp;</p><h4>Responsibilities</h4><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><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><h4>Qualifications</h4><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&nbsp;</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><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

Data Scientist - TS/SCI Required

<br><h4>Overview</h4><p>LMI is seeking a skilled Data Scientist at our headquarters office in Tysons, VA. Successful Data Scientists demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.</p><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.</p><h4>Responsibilities</h4><p>This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:</p><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><li>Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark.</li><li>Develop scalable heuristic-based and machine learning-based approaches to entity resolution across complex datasets.</li><li>Support the deployment of the entity resolution algorithms into a production pipeline.</li><li>Support the evaluation, maintenance, and retraining of the entity resolution algorithms in production over time.</li><li>Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.</li><li>Assist the development of junior data scientists through technical mentoring, code review, and other assistance.</li><li>The data scientist will need the ability to work in teams and independently.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>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.</li><li>Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.</li><li>Superior communication skills, both oral and written</li><li>Active DoD security clearance at the Top Secret level.</li></ul><p>Desired Skills:</p><ul><li>Master’s degree or higher.</li><li>Working knowledge of Spark or PySpark</li><li>Experience with Databricks, Qlik, and the Advana analytics platform</li><li>Experience with entity resolution algorithms</li><li>Experience with deploying and maintaining models in production</li><li>Experience scaling models and algorithms to large datasets</li><li>Previous DOD experience.</li><li>Previous experience working with supply chain or maintenance data or processes.</li></ul><p>#LI-SH1</p><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Scientist - Clearance Required

<br><h4>Overview</h4><p>LMI, a consulting firm dedicated to powering a future-ready, high-performing government, is seeking a Senior Data Scientist to support an Intelligence Community client. This exciting opportunity will be located in the Northern VA area, where you will join our team of talented professionals in delivering integrated capabilities that incorporate emerging technologies, tailored to customers' unique mission needs.</p><p>LMI is seeking a Senior Data Scientist with advanced skills in data collection, cleaning, maintenance, analysis, representation, visualization, and reporting. The Senior Data Scientist should have experience with AI/ML, data algorithms, and predictive models, as well as experience using SQL Developer and Python to script the extraction and transformation of data.</p><p>At LMI, we have a dynamic community of data-centric practitioners who are passionate about delivering innovative solutions and driving mission success for our clients. As a Senior Data Scientist, you will have the opportunity to collaborate with a team of talented professionals both on client site and within the broader LMI Data Science Community on efforts that can include prototype development, Gen-AI applications, thought leadership, and other focus areas that emerge.&nbsp;</p><p>If you're a passionate and skilled data scientist, we encourage you to apply.</p><h4>Responsibilities</h4><ul><li>Coordinate requirements directly with the Sponsor and internal subject matter experts</li><li>Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.</li><li>Manipulate common data formats, including comma-delimited, text files, and JSON.</li><li>Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.</li><li>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions.</li><li>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.</li></ul><h4>Qualifications</h4><ul><li>Active TS/SCI clearance with Polygraph</li><li>8-10 years of data science experience and solid educational training in data science</li><li>Advanced skills in data collection, cleaning, maintenance; analysis; representation, visualization, and reporting</li><li>Advanced data visualization skills esp in Tableau</li><li>Experience with AI/ML, data algorithms, and predictive models</li><li>Advanced experience using SQL Developer and Python to script the extraction and transformation of data</li><li>Preferred experience with data engineering techniques – data infrastructure and data lake development</li><li>Familiarity with project management concepts and principles</li><li>Intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solution to complex problems</li><li>Strong analytical and critical thinking skills</li><li>Ability to leverage multiple data management tools to organize relevant information and make decisions</li><li>Ability to translate complex, technical findings into an easily understood narrative (i.e., tell a story with the data) in graphical, verbal, or written form</li><li>Ability to multitask and change focus quickly as demands change</li><li>Ability work collaboratively and effectively in a team environment</li><li>Ability to establish and maintain internal and external professional networks including subject matter experts, collectors, and decision makers that are necessary to carry out tasks or projects</li></ul><p>#LI-SH1</p><h4>EEO Statement</h4><p><strong><em>LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.&nbsp;</em></strong></p><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Scientist - TS/SCI with Polygraph

<br><h4>Overview</h4><p>LMI is seeking a skilled Data Scientist at our headquarters office in Tysons, VA. Successful Data Scientists demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.</p><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.</p><h4>Responsibilities</h4><p>This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:</p><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><li>Support data analysts and data engineers with the development of robust, scalable data pipelines using big data technologies such as Spark.</li><li>Develop scalable heuristic-based and machine learning-based approaches to entity resolution across complex datasets.</li><li>Support the deployment of the entity resolution algorithms into a production pipeline.</li><li>Support the evaluation, maintenance, and retraining of the entity resolution algorithms in production over time.</li><li>Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.</li><li>Assist the development of junior data scientists through technical mentoring, code review, and other assistance.</li><li>The data scientist will need the ability to work in teams and independently.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>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.</li><li>Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.</li><li>Superior communication skills, both oral and written</li><li>This position requires the ability to receive a security clearance at the Secret level. You&nbsp;must be a US citizen.</li></ul><p>Desired Skills:</p><ul><li>Master’s degree or higher.</li><li>Working knowledge of Spark or PySpark</li><li>Experience with Databricks, Qlik, and the Advana analytics platform</li><li>Experience with entity resolution algorithms</li><li>Experience with deploying and maintaining models in production</li><li>Experience scaling models and algorithms to large datasets</li><li>Previous DOD experience.</li><li>Previous experience working with supply chain or maintenance data or processes.</li><li>Active DoD security clearance at the Secret or Top Secret level.</li></ul><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Scientist

<br><h4>Overview</h4><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.</p>LMI is seeking a skilled Data Scientist at our headquarters office in Tysons, VA (telework allowed). Successful LMI Data Scientist demonstrate competency in building data analytics processes in multiple frameworks such as Modeling and Simulation (M&amp;S) environments, and AI/ML algorithms, and communicating analysis results through informative reports, graphics, and visualizations. In addition, LMI Data Scientists have demonstrated experience in collaborating with other Data Scientist and with effective communication with clients.<br><h4>Responsibilities</h4><p>You will develop high end analytics and insight in support of our client’s mission to support logistics and supply chain processes for the Department of Defense (DoD). Representative responsibilities:</p><ul><li>Collaborate with an integrated team of LMI Data Scientists to analyze, integrate, and transform large sets of data into simplified, meaningful, and actionable trends and visualizations.</li><li>Build models using ML, rule-based, or traditional statistical methods.</li><li>Contribute to the development and maintenance of LMI’s logistics and supply simulation model.</li><li>Use data analytics to develop, populate, and analyze results of simulations and algorithms.</li><li>Understand business problems and opportunities in the context of the requirements and recommend solutions that enable achievement of reporting goals.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>3+ years of experience with C++ and Python coding languages</li><li>Proficient knowledge with Object-Oriented Programming (OOP) techniques.</li><li>Experience with version control software such as GIT.</li><li>Bachelor’s degree in computer science, engineering, data science, operations research, physics, mathematics, or a related discipline required. </li><li>Self-starter with the vision to independently identify opportunities for improvement through data analytics.&nbsp;</li><li>A true team player who maintains a positive attitude in a dynamic environment.</li><li>Demonstrated ability to understand technical concepts and structure research that simplify these concepts.</li><li>Current DoD Clearance.</li></ul><p>Desired:</p><ul><li>5+ years of experience with C++ and Python coding languages</li><li>Experience with supply chain or logistics modeling</li><li>Master’s Degree preferred</li></ul><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Scientist - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a skilled Data Analyst. Successful Data Analysts demonstrate competency in data analysis, data visualization, statistics, programming, project execution, and critical thinking.</p><h4>LMI: Innovation at the Pace of Need™</h4><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.&nbsp;</p><h4>Responsibilities</h4><p>This data scientist will join a team supporting the Defense Logistics Agency (DLA). The Data Scientist will apply advanced analytics techniques to improving the quality of vital supply chain and logistics data.</p><ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize, and find data solutions.</li><li>Manipulate common data formats, including comma-delimited, text files, and JSON.</li><li>Transform data and analysis into informative data visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.</li><li>Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions.</li><li>Assess the effectiveness and efficiency of logistics functions through data analysis.</li><li>Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products.</li><li>Oversee and complete special projects as needed.</li><li>Rapidly prioritize competing requirements, understand and simplify client requirements.</li><li>Communicate with clients through written reports and oral presentations.</li></ul><h4>Qualifications</h4><p>Required:</p><ul><li>Pursuit of a Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline</li><li>Experience working with Python</li><li>Working knowledge of databases and SQL</li><li>At least 0–4 years&nbsp;of experience in the field</li><li>Superior communication skills, both oral and written</li></ul><p>Desired:</p><ul><li>Master’s degree or higher</li><li>Previous experience working with DoD or supply chain data </li><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions</li><li>Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js&nbsp;to communicate findings and relate them back to how your insights create business impact</li></ul><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Scientist

<p>It’s inspiring to work with a company where people truly BELIEVE in what they’re doing! </p><p>When you become part of the Chapters Health Team, you’ll realize it’s more than a job. It’s a mission. We’re committed to providing outstanding patient care and a high level of customer service in our communities every day. Our employees make all the difference in our success!</p>Role: <br>The Housekeeper has day-to-day responsibility for ensuring the Hospice House is clean and sanitary.  The Housekeeper properly cleans and sanitizes patients’ rooms, common areas, bathrooms, offices, and all other spaces, as assigned.<p>Qualifications:</p><ul><li>A high school diploma or G.E.D. or an equivalent combination of education and experience</li><li>Prior related experience in hospital, hospice house, nursing home, and/or general cleaning experience</li><li>Must possess technical proficiencies in housekeeping functions</li><li>Strong interpersonal skills</li><li>Working knowledge of housekeeping industry standards and regulations</li><li>Skill in the use of and care for housekeeping equipment including, but not limited to, vacuum, dusters, chemical pumps, etc.</li><li>Must be able to read, write, and speak the English language conversationally</li><li>Ability to keep simple records and to follow simple step-by-step instructions</li><li>Ability working with detergents and other cleaning chemicals used for custodial work without adverse reactions</li><li>Ability to constantly lift, pull, carry, and/or push objects weighing up to 55 pounds</li><li>Ability to stand, kneel, walk, climb, crouch or bend for long periods of time</li><li>For secondary dietary role:&nbsp; skill in the use of and care for dietary equipment including, but not limited to, convection oven, steam kettle, large mixer, robot coupe, blenders, dish machine, etc.</li></ul><p>Responsibilities of all employees:</p><ul><li>Represent the Company professionally at all times through care delivered and/or services provided to all clients.</li><li>Comply with all State, federal and local government regulations, maintaining a strong position against fraud and abuse.</li><li>Comply with Company policies, procedures and standard practices.</li><li>Observe the Company's health, safety and security practices.</li><li>Maintain the confidentiality of patients, families, colleagues and other sensitive situations within the Company.</li><li>Use resources in a fiscally responsible manner.</li><li>Promote the Company through participation in community and professional organizations.</li><li>Participate proactively in improving performance at the organizational, departmental and individual levels.</li><li>Improve own professional knowledge and skill level.</li><li>Advance electronic media skills.</li><li>Support Company research and educational activities.</li><li>Share expertise with co-workers both formally and informally.</li><li>Participate in Quality Assessment and Performance Improvement activities as appropriate for the position.</li></ul><p>Competencies:</p><ul><li>Satisfactorily complete competency requirements for this position</li></ul><p>Job Responsibilities:</p><ul><li>Performs assigned housekeeping care at a single location/facility within a shift. &nbsp;Cleans various types of surfaces, floors, equipment, wall surfaces, wall hangings, linens and towels, beds and all components thereof, laminate wood, hardwood, TV stands and tables, radios, plastic and metal carts, etc.</li><li>Completes cleaning of common areas and each patient’s room/bathroom daily using infection control techniques.</li><li>Provides deep cleaning as scheduled.</li><li>Responsible for thoroughly cleaning all equipment used after each use.</li><li>Performs other duties as assigned.</li></ul><p>Secondary duties when assigned to Dietary:</p><ul><li>Prepares meals by warming, plating and garnishing.</li><li>Distributes meals and retrieve dishes.</li><li>Responsible for cleaning all equipment used thoroughly after each use.</li></ul><p>This position requires consent to drug and/or alcohol testing after a conditional offer of employment is made, as well as on-going compliance with the Drug-Free Workplace Policy. </p>

Chapters Health System

Per Diem - Environmental Services/Housekeeper Lifepath Hospice

<br><h4>Overview</h4><h4>LMI: Innovation at the Pace of Need™</h4><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.&nbsp;</p><p>This position is embedded within our Advanced Analytics &amp; AI practice. Leverage your curiosity and problem-solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their research questions.</p><h4>Responsibilities</h4><p>This data scientist will work as part of a team of experienced data scientists, data engineers, and data analysts to support advanced analytics projects for the Chief Digital and Artificial Intelligence Office (CDAO) of the Department of Defense. Responsibilities include:&nbsp;</p><ul><li>Frame and scale data problems to analyze, visualize, and find data solutions.&nbsp;</li><li>Manipulate common data formats, including comma-delimited, text files, and JSON.&nbsp;</li></ul><ul><li>Build robust, scalable data pipelines using big data technologies such as Spark to enable predictive and prescriptive modeling. &nbsp;</li><li>Develop and deploy modeling capabilities (e.g., simulation, machine learning, statistical forecasting).&nbsp;&nbsp;</li><li>Work with the technical lead on solutioning, timelines, and feasibility.&nbsp;</li><li>Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.&nbsp;</li></ul><p>&nbsp;<br></p><h4>Qualifications</h4><p><strong>Required:</strong></p><ul><li><strong>Active DoD Secret clearance</strong>&nbsp;</li><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline&nbsp;</li><li>Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), big data frameworks (Spark or PySpark), and associated data science libraries (scikit-learn)&nbsp;</li></ul><ul><li>Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics&nbsp;&nbsp;</li><li>Experience developing and deploying modeling tools and capabilities&nbsp;</li><li>Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections&nbsp;</li><li>At least 10–15 years of experience in the field&nbsp;</li><li>Superior communication skills, both oral and written&nbsp;</li></ul><p><strong>Desired:</strong>&nbsp;</p><ul><li>DoD experience preferred&nbsp;</li><li>Unstructured text and natural language processing&nbsp;</li><li>Experience with Databricks, Qlik, and the Advana analytics platform&nbsp;</li><li>Previous experience working with supply chain or maintenance data or processes&nbsp;</li></ul><ul><li>Supervising algorithm implementation in on-premise and cloud-based computing environments&nbsp;</li><li>Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions&nbsp;</li></ul><p>#LI-SH1</p><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><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><h4>Responsibilities</h4><ul><li>Work with a project-based team comprised of staff and other contractors.</li><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.&nbsp; </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><h4>Qualifications</h4><h4>Required</h4><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><h4>Desired</h4><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><h4><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 <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br><br>Need help finding the right job?<br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

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