Jobs in Tysons Va Us

4 open positions found · Salary range: $150,000 - $200,000

View Lead Engineer - CCaaS Operations
M

Lead Engineer - CCaaS Operations

MaximusTysons, VA, USonsite

$150,000 - $200,000/yr

Essential Duties and Responsibilities:* Lead the design and development of complex software applications from business requirements in collaboration with other team members * Investigate new solutions, tools, products, and techniques to incorporate into coding standards. * Troubleshoot complex issues and produce detailed proposals to resolve. * Support testing and remediate defects * Guide, coach, and mentor entry and mid-level developers Essential Duties and Responsibilities: * Own end-to-end contact center implementation and ongoing support across all phases of the project lifecycle * Lead design of advanced cloud contact center solutions, including routing, IVR, workforce management, analytics, and reporting, incorporating AI technologies (e.g., Copilot, Amazon Bedrock, Amazon Q in Connect, Kore.ai, Murf.ai) * Translate complex technical concepts into clear guidance for non-technical stakeholders, clients, and cross-functional IT teams * Research emerging customer experience and conversational AI technologies; evaluate tools and contribute to continuous improvement of solution offerings * Analyze existing and new voice/data network environments and recommend scalable, resilient solutions * Gather, assess, and document technical requirements in support of business needs and RFP responses * Develop unit and integration test scenarios aligned with system requirements and evolving business processes * Troubleshoot, maintain, and upgrade contact center and supporting systems; proactively identify and resolve issues * Adhere to implementation standards, change control processes, and internal documentation practices * Communicate status, risks, and issues in a timely manner and collaborate with leadership to ensure on-time delivery * Support change management activities and create or update required technical and process artifacts * Participate in off-hours support as needed for critical incidents or outages * Perform additional duties as assigned by leadership Minimum Requirements * Bachelor's degree in related field. * 7-10 years of relevant professional experience required. * Equivalent combination of education and experience considered in lieu of degree . Job Specific Minimum Requirements: * Bachelor's degree in Telecommunications or related field and 7+ years of experience (or equivalent combination of education and experience) * Strong problem-solving skills with the ability to manage multiple priorities in fast-paced, deadline-driven environments * Excellent written and verbal communication skills; able to translate technical concepts for both technical and non-technical audiences * Ability to work independently and collaboratively with strong ownership and attention to detail * Deep experience with cloud contact center platforms (e.g., Genesys Cloud CX, Amazon Connect, NICE CXone), including IVR, call flows, routing, AI capabilities, workforce management, analytics, and reporting * Hands-on experience designing and implementing Amazon Connect solutions, including call flow development, Lex bot development, and integration to other AWS Services * Understanding of Generative AI fundamentals and enterprise guardrails * Strong knowledge of TCP/IP, SIP, and VoIP, with experience troubleshooting LAN/WAN and voice/data networks * Experience working with HTTP, REST APIs, and JSON integrations * Familiarity with tools such as Wireshark, Microsoft Server technologies, DHCP/DNS, Hyper-V, VMware ESXi, Visio, and Microsoft Office * While not immediately required, identified candidate must be "clear-able" for both Federal Civilian and DoD work including Public Trust clearance Preferred Skills and Qualifications: * Background in software development (e.g., Java, C#, .NET, Python, PHP, or web scripting) is a plus Preferred Certifications: * Genesys Cloud Certified Professional (GCP-GC) * AWS Certified Cloud Practitioner #techjobs #veteranspage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com . Minimum Salary $150,000.00 Maximum Salary $200,000.00

6 months agovia universal intelligenceApply ›
View Privacy Officer
M

Privacy Officer

MaximusTysons, VA, USremote

Description \& RequirementsMaximus is currently hiring for a Privacy Officer to support our Arkansas No Wrong Door project. This is a remote position, with travel to Little Rock, AR required as business and/or client needs arise. The Sr. Specialist, Privacy Office will provide advice on compliance matters, guiding management and staff in maintaining a compliant and confidential operational environment. This position will integrate compliance measures and ensure seamless adherence to privacy protocols. This position is responsible for assessing and enforcing all state and federal mandated privacy policies. \This position is contingent upon contract award.\ Why Maximus? Work/Life Balance Support - Flexibility tailored to your needs! Competitive Compensation - Bonuses based on performance included! Comprehensive Insurance Coverage - Choose from various plans, including Medical, Dental, Vision, Prescription, and partially funded HSA. Additionally, enjoy Life insurance benefits and discounts on Auto, Home, Renter's, and Pet insurance. Future Planning - Prepare for retirement with our 401K Retirement Savings plan and Company Matching ️ Paid Time Off Package - Enjoy PTO, Holidays, and extended sick leave, along with Short and Long Term Disability coverage. Holistic Wellness Support - Access resources for physical, emotional, and financial wellness through our Employee Assistance Program (EAP). Recognition Platform - Acknowledge and appreciate outstanding employee contributions. Tuition Reimbursement - Invest in your ongoing education and development. Employee Perks and Discounts - Additional benefits and discounts exclusively for employees. Maximus Wellness Program and Resources - Access a range of wellness programs and resources tailored to your needs. Professional Development Opportunities: Participate in training programs, workshops, and conferences. Essential Duties and Responsibilities: Review reported incidents related to potential or actual privacy, security, or data breaches. Coordinate the incident or breach management process (as appropriate) with project management, DOH and the corporate Privacy and Data Protection Office. Work with project management, DOH and the corporate Privacy and Data Protection Office to develop and disseminate all required notifications of suspected or actual breach of protection of protected health information or personally identifiable information. Mentor Privacy Specialists with incident investigations and review privacy reports and deliverables. Conduct project related privacy risk assessments and internal audits. Review privacy practices and supports periodic compliance audits of sub-contractors and vendors for the project site to assure compliance with contract requirements, quality principles and Business Associate Agreements. Manage the collection, analysis and reporting of privacy program data and metrics. Develop departmental work instructions and reference materials. Develop project privacy and security training and awareness materials. Conduct training regarding compliance, privacy, and quality awareness. Prepare data in support of regularly scheduled meetings, facilitating as required. Support the effectiveness of the quality management system and complies with ISO 9001. Support the Compliance Manager with assigned duties and acts as the department's subject matter expert. Responsible for maintaining confidentiality in daily tasks. Maintain current knowledge of the federal and state rules, regulations, and guidance related to security and privacy including but not limited to HIPAA, HITECH, Federal Exchange regulations (ACA regulations). Maintain awareness of corporate and project privacy and security policies and procedures. Develop, maintain, document and report on the Contractor's privacy measures. Ensure the system complies with all current and future federal and state privacy regulations and standards. Conduct audits and implement safeguards to maintain data integrity and confidentiality, specifically in regard to Protected Health Information (PHI) and Personally Identifiable Information (PII). Lead initiatives to train contractor and DHS employees, as requested, on compliance requirements and privacy best practices. Provides support for external privacy audits. The Sr. Specialist, Privacy Officer position is not required to be onsite; however, the client will require travel to our site in Little Rock, AR for the purpose of training, audits, and/or compliance review. Minimum Requirements Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience. Must possess a minimum of five (5) years of experience managing or in a key management position for a large-scale government human services project, including a minimum of three (3) years of that experience in a Privacy Officer role (or a role of similar scope and responsibility). Must have excellent communication skills, writing skills, facilitation skills, and formal presentation skills. Must be willing and able to travel to Little Rock, AR as business and/or client needs dictate. Preferred Certifications: Certified Health Care Privacy and Security (CHPS), Certified in Cybersecurity (CC), OffSec Certified Professional (OSCP), OffSec Certified Professional Plus (OSCP+), Junior Penetration Tester (PT1), Practical SOC Analyst Associate (PSAA), Practical Web Pentest Associate (PWPA), Practical Web Pentest Professional (PWPP), Practical Junior Penetration Tester (PJPT), Practical Network Penetration Tester (PNPT), Certified Information Privacy Professional (CIPP), or Certified Ethical Hacker (CEH). Home Office Requirements: Internet speed of 20mbps or higher required (you can test this by going to www.speedtest.net ) . Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router . * Must currently and permanently reside in the Continental US . EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

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View Lead Data Scientist
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Lead Data Scientist

TEGNATysons, VA, US

About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. We are seeking a Lead Data Scientist to drive the development and deployment of predictive models for our Sales Automation initiative. You will own the end-to-end data science lifecycle to build machine learning models that predict advertiser probability of conversion to customer, enabling our sales team to prioritize high-value prospects, optimize outreach strategies, and accelerate revenue growth. Ideal candidates are analytical problem-solvers who excel at translating business objectives into data-driven solutions, can work with complex advertiser datasets, and thrive in a fast-paced, collaborative environment. Responsibilities: What You'll Do Own the full data science lifecycle for advertiser conversion modeling: problem framing, hypothesis design, feature engineering, model development, validation, deployment, and impact measurement. Translate complex analytics and machine learning outputs into consumable business insights by developing Tableau- or Power BI–like interactive dashboards and generating automated BI reports (Word, PDF, PowerPoint) that support executive decision-making and revenue strategy. Build and optimize predictive models to estimate advertiser probability of conversion using historical sales data, advertiser behavior signals, engagement metrics, and market trends. Leverage managed machine learning and predictive modeling capabilities through cloud platforms (e.g., Snowflake Cortex ML, Snowpark ML) to rapidly prototype, rigorously evaluate, and productionize advertiser conversion probability models, ensuring scalability, reliability, and alignment with sales and revenue business use cases. Engineer robust features from multi-source advertiser datasets including firmographics, engagement history, interaction patterns, and campaign performance; handle data quality issues, missing values, and class imbalance. Develop classification models (logistic regression, gradient boosting, neural networks, ensemble methods) with strong emphasis on interpretability and business explainability for sales team adoption. Design and implement model validation frameworks: train/test splits, cross-validation, business-aligned metrics (precision, recall, AUC, lift), and rigorous backtesting against historical conversion data. Establish model governance and monitoring: performance tracking, drift detection, retraining pipelines, fairness assessment, and clear documentation of model assumptions and limitations. Create actionable conversion propensity scores and segmentation strategies that enable sales teams to prioritize leads, personalize outreach, and optimize resource allocation. Conduct A/B testing and incrementality analysis to measure the business impact of model-driven sales interventions and continuously improve conversion strategies. Translate complex model outputs into clear, executive-ready narratives and dashboards; deliver recommendations that drive sales strategy and revenue decisions. Partner with sales, marketing, and product teams to understand business requirements, prioritize high-impact opportunities, and design data-informed roadmaps. Mentor teammates on best practices in predictive modeling, statistical rigor, and responsible AI; promote a culture of experimentation and measurable impact. Core Skills and Methods Predictive modeling and classification: logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM), neural networks, and ensemble methods. Data Visualization: Create clear, compelling data visualizations and dashboards to enable team-led exploratory analysis and effectively communicate to both technical and non-technical stakeholders Feature engineering: domain-driven feature creation, feature selection, handling categorical variables, scaling, and dimensionality reduction. Statistical methods: hypothesis testing, confidence intervals, statistical significance testing, and understanding of Type I/II errors. Imbalanced classification: techniques for handling class imbalance (SMOTE, class weights, threshold optimization) and appropriate evaluation metrics. Model evaluation and validation: cross-validation, ROC/AUC analysis, precision-recall curves, calibration, and business-aligned performance metrics. Time series and temporal analysis: handling temporal patterns in conversion data, seasonality effects, and recency bias. Experimentation and causal inference: A/B testing, power analysis, propensity score matching, and measuring true incremental impact. Data wrangling and SQL: extracting, transforming, and aggregating complex advertiser and sales datasets from multiple sources. Model deployment and monitoring: model versioning, performance tracking, automated retraining, and production monitoring. Communication and storytelling: translating model insights into clear business recommendations and actionable strategies for non-technical stakeholders. Requirements: What Makes You a Great Fit 5+ years of applied data science experience with proven track record building and deploying predictive models in production environments. Demonstrated expertise in classification modeling and conversion/propensity prediction (e.g., customer acquisition, churn prediction, lead scoring). Hands-on experience with Snowflake - Snowpark (Python) and/or Snowflake ML / Cortex ML Advanced SQL skills for large-scale analytical datasets Experience with feature engineering on structured business data Strong proficiency in Python (scikit-learn, pandas, numpy) and SQL for data extraction and feature engineering. Comfort navigating ambiguity, quickly forming hypotheses, and iterating toward practical, high-signal solutions. Balanced mindset across rigor and speed: you know when to prototype, when to harden, and how to quantify trade-offs. Strong collaboration skills and ability to work cross-functionally with sales, marketing, and product teams. Commitment to responsible modeling: transparency, fairness, and clearly communicated limitations and risks. Excellent communication skills with ability to explain complex models to non-technical stakeholders. Preferred Advanced degree in Data Science, Statistics, Machine Learning, or related field. Prior experience in sales, marketing, or revenue analytics domains. Experience with cloud platforms (AWS, GCP, Azure) and big data tools. Familiarity with MLOps practices and model deployment pipelines. ### Benefits: TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance. Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA's 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one. Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor's appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health. TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year. Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union. EEO statement: TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com Recruiting Fraud Alert: To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains. Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers. Privacy Notice for California Residents SMS Messaging Privacy Policy

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View Global Impact & Belonging Intern
M

Global Impact & Belonging Intern

MaximusTysons, VA, USremote

Description \& RequirementsAs a key member of the Global Impact \& Belonging (GIB) team, the Intern will provide essential support to various initiatives. The Intern will learn about the business unit's culture and its competitors and will support the employees in the department. The Intern will conduct research, help analyze data, provide updates to the team site, and collaborate with and provide recommendations to the Global Impact \& Belonging team and a wide variety of partners to advance our commitment to fostering a workplace culture and environment where everyone can thrive. Additionally, the selected intern will gain knowledge of general business principles, corporate organizational structure and government process improvement. Throughout the summer, you will have the opportunity to meet, interact, and collaborate among various project teams, consultants, senior management, executives and peers. Guidance and training on operations standards and protocols will be provided by the Manager. BENEFITS / COMPENSATION: Hourly pay range is competitive and commensurate with education and experience. Interns are eligible for benefits. All computer equipment and access to digital systems will be provided to the hired candidate. Students may also complete the internship for academic credit, subject to the qualifications of their academic program. PROGRAM DETAILS: This position requires a commitment of 40 full-time hours per week, with availability during usual business hours (8AM-6PM ET), for the duration of a 10-week summer program: starting Tuesday, May 26th and ending Friday, August 7th, 2025. This opportunity is remote within the United States only and from Eastern and/or Central time zone. Essential Duties and Responsibilities: Prepare and/or maintain data collection and evaluation documents. Engage with teams across Maximus to ensure education, awareness, and integration of Global Impact \& Belonging efforts within our operations. Collaborate and share best practices, from outside and within the company. Support the Global Impact \& Belonging team members in developing, formalizing and communicating plans, activities, etc. Support GIB Project Managers in developing, hosting, and documenting initiatives. Support the GIB Project Managers with research, networking, and engagement. Work on specific Global Impact \& Belonging projects as assigned. Shared Responsibilities: o Prepare and/or maintain other data collection and evaluation documents. o Engage with teams across Maximus to ensure education, awareness, and integration of supplier partnership efforts. o Collaborate and share best practices from internal and external sources. o Organize and maintain a functional, polished spreadsheet of potential supplier partners. o Remove suppliers that are already onboarded or no longer viable (e.g., out of business, declined interest). o Support Project Managers in developing, hosting, and documenting initiatives. o Conduct research, networking, and engagement to support supplier partnership goals. o Provide updates to the team site and assist with communication plans. Minimum Requirements High school diploma or GED required and 0-2 years of relevant professional experience required, or equivalent combination of education and experience. Strong proficiency in Microsoft Excel, including formulas, data organization, and familiarity with automation tools. Excellent organizational, written, and verbal communication skills. Knowledge of topics (historic and contemporary) pertaining to Global Impact \& Belonging and/or charitable giving is a plus. Ability to manage multiple priorities with superior attention to detail. Comfortable working independently and as part of a team in a fast-paced, deadline-oriented environment. Preferred fields of study: Business, Supply Chain, Data Analytics, or related disciplines Additional preferred skills and qualifications: Proficiency in Microsoft Excel, including formulas, data organization, and basic automation. Familiarity with data management tools (e.g., Smartsheet or similar platforms). Research \& Analytical Skills: Conduct research on institutions and partnership opportunities and analyze data from surveys and event feedback. Creativity \& Problem-Solving: Generate ideas for engagement and marketing while adapting to changing plans. Event Planning \& Logistics: Support coordination of virtual and in-person events, including agendas, setup guides, and participant engagement. Strong attention to detail and ability to structure large datasets for ongoing use. Excellent organizational and communication skills. * Interest in supplier partnerships, outreach, and operational efficiency. EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

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