We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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"job_description": "Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description Why you may enjoy working at Solaria Labs: The Data Science co-op will support data science efforts in Solaria Labs in a diverse set of challenges broadly related to public health, safety, and trust. Many of the concepts we develop require novel use of Liberty Mutual and partner data, and the application of current and emerging machine learning techniques to build previously inconceivable product offerings. You will interact with other data scientists and engineering teams to implement your solutions within internal and customer facing software products. You want to be part of a collaborative innovation lab: experience both heads down coding time as well as active participation in ideation and product design. You like exploring emerging Machine learning technologies including natural language processing/understanding and computer vision, and emerging trends like insuretech/fintech and the sharing economy. You are passionate about building and iterating on software prototypes, thrive in an R&D environment, and have a start-up mentality. You enjoy building custom algorithms, digging into data for insights, building engaging interfaces and always looking to sharpen your skills with emerging technology or participating in hackathons and meetups. Qualifications You're good at and offer: Working knowledge of data science and machine learning technologies Aware and excited about new and upcoming machine learning algorithms Ability to exchange ideas and convey complex information clearly and concisely Fluency in Python Location: Solaria Labs, Boston, MA Qualifications: Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics or other technical field Strong technical, analytical, communication and organizational skills You have a proven track record of academic success About Us This position may have in-office requirements depending on candidate location. At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession. Liberty Mutual has proudly been recognized as a \"Great Place to Work\" by Great Place to Work\u00ae US for the past several years. We were also selected as one of the \"100 Best Places to Work in IT\" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates--as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/ We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California San Francisco Los Angeles Philadelphia", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502288267", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618502035533, "name": "Analyst, Data Science, US Retail Markets Distribution and Marketing", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1737490320, "t_create": 1736193180, "ats_job_id": "68033", "display_job_id": "2025-68033", "type": "ATS", "id_locale": "2025-68033-en", "job_description": "Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Build and deploy predictive models using Python to identify target customers based on expected response and value. Regularly engages with the data science community and participates in cross-functional working groups. Consult on campaign testing design to ensure they align with statistical standards. Collaborate with cross-functional teams, including marketing, distribution, and analytics. Develop or maintain familiarity with marketing measurement, attribution methodologies, MarTech and media mix modeling. Stay up-to-date with industry trends and emerging technologies in data science and marketing. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502035533", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618501999756, "name": "Assistant Director, Data Science, Solaria Labs", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Data Science", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1738165020, "t_create": 1735849440, "ats_job_id": "67965", "display_job_id": "2025-67965", "type": "ATS", "id_locale": "2025-67965-en", "job_description": "Collaborate with cross-functional teams across the enterprise to develop innovative predictive and generative AI solutions and solve Liberty's most challenging data science problems. Apply a broad range of sophisticated analytic techniques to manipulate large structured and unstructured datasets, generating insights that inform and drive business decisions. Research, design and develop cutting-edge solutions tailored to business needs. Identify and test hypotheses and build models for various business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make clear trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to meet specific client requirements. Guide aspects of project design as a technical consultant, providing expertise on complex components of larger projects. Regularly engage with the data science community and participate in cross-functional working groups. Mentor junior team members and provide training sessions to peers and management. Ability to work EST Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g., scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g., computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem-solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand business problems, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. Experience contributing to open-source data science and machine learning projects.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501999756", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618499964602, "name": "2025 Graduate Data Science Summer Internship Program", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1737656580, "t_create": 1724430600, "ats_job_id": "65870", "display_job_id": "2024-65870", "type": "ATS", "id_locale": "2024-65870-en", "job_description": "Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description Data Science Graduate Level Internship It's a data-driven world. Be part of a growing community of data science professionals that harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward. The details Calling all aspiring data scientists! Here's the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and various modeling techniques and software. In the 11-week Data Science Graduate Level Internship, you'll build robust models and use statistical software, such as R, Python, and SAS, to solve critical business problems in product management, claims, distribution, marketing, HR, legal, finance, and other business functions. At the conclusion of your summer internship, you'll deliver a presentation of your work and skills to your colleagues and the data science management team. The Data Science Graduate Level Internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time opportunities at our Boston office. Qualifications What you've got You possess proven statistical, mathematical, computational, and analytical skills, which you are acquiring through the pursuit of a Master's degree or Ph.D. in Mathematics, Statistics, Economics, Operational Research, Computer Science, or a related field. You have completed doctoral qualifying exams (preferred). You have a record of academic achievement. You demonstrate solid oral, written, communication, and interpersonal skills. You are a whiz at statistical software, such as R, Python, and SAS. Programming skills are highly desirable. About Us As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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Bachelor's degree required. 3+ years of experience in portfolio analysis or investment management with a focus in programming, analytics & BI reporting within a fixed income environment preferred Experience with machine learning and artificial intelligence algorithms and their applications in financial analysis, and the use of GPT models for advanced problem solving Strong knowledge of statistical methods and their practical application in financial analysis Proficiency in programming languages such as Python, R, VBA, and SQL Tenacious problem-solving skills, with a focus on efficiency and effectiveness Experience with Blackrock's Aladdin investment platform, Bloomberg and Macrobond is preferred A keen interest in Investments and desire to dive into the intricacies of Fixed Income. Excellent communication skills, ability to work well in a team and under pressure", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618499528284", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618501824633, "name": "Director, Data Science, Earnix Design", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1737132480, "t_create": 1734390840, "ats_job_id": "67773", "display_job_id": "2024-67773", "type": "ATS", "id_locale": "2024-67773-en", "job_description": "Lead a working team to build pricing and underwriting programs in Earnix for all lines. Facilitate design of Rate Order Calculations in Earnix and integration with upstream services to fully enable capabilities of Earnix Ensure accuracy of all pricing and non-pricing outputs from Earnix Coordinate planning and execution with Tech and Data Solutions teams with understanding of high-level rating architecture. Design and implement other use cases of Earnix as a rating engine. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Strong understanding of rating algorithm structures, including their components, inputs, and outputs, is highly preferred. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for automation script development, python skills a plus. Earnix or similar rating tools knowledge is a plus. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501824633", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502008422, "name": "Principal Data Solutions Analyst, Claims Data Products", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1737132600, "t_create": 1735931460, "ats_job_id": "67994", "display_job_id": "2025-67994", "type": "ATS", "id_locale": "2025-67994-en", "job_description": "Under minimal direction: Prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, helps to scale prototypes, and assists in building robust data assets, focusing on long-term strategic solutions. Creates effective requirements and documentation for new IT data development and deployment. Ensures IT requirements include criteria required to achieve high quality data Effectively and proactively communicates with stakeholders. Prioritizes efforts based on customer value. Can set expectations for deliverables of high complexity. Displays a working understanding of complex multi-tier, multi-platform data environments; can make recommendations for optimal technical solutions and best end-user experience. Understands and applies principles of data governance, compliance, and security. Demonstrates a strong understanding of new technologies as needed to progress initiatives. Acts as a technical leader and mentor to lower level associates. Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 5-7 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL, scripting languages (Python) Preferred skills and experience: mastery of SQL, 3+ years of data analysis, knowledge of Snowflake and data vault environments, knowledge of P&C claims", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502008422", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502181591, "name": "Associate Manager, Category Strategy \u2013 Third-Party Data", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3035-GRS-Office of Operations-US", "t_update": 1738117620, "t_create": 1736961240, "ats_job_id": "68224", "display_job_id": "2025-68224", "type": "ATS", "id_locale": "2025-68224-en", "job_description": "Responsible for development and advancement of one or more categories and supplier spend management strategies that support key business objectives/ priorities and result in significant cost savings, service/quality, and process improvements within categories. Facilitate the connection of existing third-party data sources Develop relationships and work with key business partners to understand strategic direction, supply requirements and corporate business objectives and priorities Work collaboratively with Functional Area and Business Group partners to conduct opportunity identification and prioritization Develop and execute multi -year category planning process to develop opportunity pipelines. Identify and prioritize sourcing initiatives within the categories through Category planning process for annual plan Develop third party data sourcing strategies and lead/coordinate negotiation for a variety of assigned product and service areas Build reputation as a subject matter expert for assigned product and service areas Lead/participate in cross-functional teams in the development of sourcing strategies Internal assessments of Company current and future needs; assessments of market trends and supply base Understanding of supplier economics, agreement on optimal relationship between Company and prospective suppliers Assessment of total cost of ownership and opportunities to leverage changes in process, systems, and products to lower that cost Working closely with stakeholders to establish and execute the sourcing strategy, which will include development and implementation of communication strategies for key stakeholders on overall process, timing, and end products Develop TCO reduction strategy into business cases, obtain stakeholder buy in and create execution plan Drive early engagement; drive an expanded scope of influence and increase spend under management Proactively manage supplier performance through disciplined and collaborative feedback channels Provide guidance on monitoring supplier performance against contractual terms and conditions, assess supplier financial health and develop risk mitigation plans for critical and preferred suppliers Drive and measure annual productivity improvements through establishment of key performance metrics and tracking of results. Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred 5-7+ years of experience working in coding methodologies and design principles, particularly in open source tools and technology", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502181591", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618502183072, "name": "Senior Cloud Data Engineer, Investments Tech (SQL/AWS/Snowflake)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1737132720, "t_create": 1736970300, "ats_job_id": "68234", "display_job_id": "2025-68234", "type": "ATS", "id_locale": "2025-68234-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note: This role has a hybrid work arrangement (2 days/week in Boston, MA) Proficient in SQL and hands on experience with Python Experience with Data modeling and data warehousing Experience with public cloud data platforms: Snowflake (preferable), AWS, Azure Proficiency with AWS Services including but not limited to AWS S3, AWS Glue, AWS Lambda, AWS EC2 Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Experience with build/deploy automation & DevOps frameworks (CI/CD, Bamboo, GitHub Actions, pipeline-as-code) Experience with business intelligence tools and reporting solutions (Power BI, Tableau etc.). Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Demonstrate expertise in SQL as part of our Data and Analytics squad. Design, develop, and enhance data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using SQL, AWS, Snowflake, Python, Rest API etc. Implement data quality checks and monitoring processes to ensure data accuracy and consistency.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502183072", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618502155916, "name": "Director, Category Strategy Third Party Data", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1737740400, "t_create": 1736857440, "ats_job_id": "68188", "display_job_id": "2025-68188", "type": "ATS", "id_locale": "2025-68188-en", "job_description": "Lead a team of Category Strategists focused on the Procurement of Third-Party Data elements as well as the technology infrastructure to support the data ecosystem. Build reputation as a subject matter expert Develop, implement and lead the Third-Party Data Control Tower Identify and prioritize sourcing initiatives through annual Category Planning process. Work collaboratively with Functional Area and Business Group partners to conduct opportunity identification and prioritization. Develop sourcing strategies and lead negotiation of data products, from data elements to data platforms/technology infrastructure. Champion early engagement of Procurement organization to enable an increase of spend under management in order to maximize our collective Enterprise efficiency and effectiveness. Provide guidance on monitoring supplier performance against contractual terms and conditions, assess supplier financial health and develop risk mitigation plans for critical and preferred suppliers. Measure annual productivity improvements in the category through establishment of key performance metrics and tracking of results. Responsibility Oversight: Manages at least USD $400-600M, Category Complexity: High, Contracting volume: High Effectively manage several projects and associated resources to generate at least 5-10% in cost benefit annually Bachelor`s degree (preferably in Business) or equivalent experience. At least 10+ years experience in related field. Deep understanding of third-party data, suppliers and products. Understanding of Project Management methodologies. Experience interacting with and defending positions with stakeholders and senior management. Leads through empowerment and instills sense of responsibility and self-discipline in subordinates. Effectively influences, collaborates, and partners with business leaders across multiple business units and functions to drive outsized results. Develops solutions to complex problems. Regularly uses a data-driven approach with ingenuity and innovation to develop solutions that are consistent with organization objectives. Very strong analytic and negotiation skills are a must. Superior communications, interpersonal and presentation skills with strong influencing and persuasive abilities. Expertise in MS Office including Excel, Word and PowerPoint. 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.html_header_searchicon_disabled #top .av_header_border_disabled.av_bottom_nav_disabled .main_menu .menu>li:last-child>a .avia-menu-fx{padding-right:13px;-moz-box-sizing:content-box;-webkit-box-sizing:content-box;box-sizing:content-box;} div .logo{float:left;position:absolute;left:0;z-index:1;} .logo,.logo a{overflow:hidden;position:relative;display:block;height:100%;} .logo img{padding:0;display:block;width:auto;height:auto;max-height:100%;image-rendering:auto;position:relative;z-index:2;height:100%;height:auto;-webkit-transition:opacity 0.4s ease-in-out;transition:opacity 0.4s ease-in-out;} .main_menu{clear:none;position:absolute;z-index:100;line-height:30px;height:100%;margin:0;right:0;} .av-main-nav-wrap{float:left;position:relative;z-index:3;} .av-main-nav-wrap ul{margin:0;padding:0;} .av-main-nav ul{display:none;margin-left:0;left:0;position:absolute;top:100%;width:208px;z-index:2;padding:0;box-shadow:0 8px 15px rgba(0, 0, 0, 0.1);margin-top:-1px;} .av-main-nav ul li{margin:0;padding:0;width:100%;} .av-main-nav ul li a{border-right-style:solid;border-right-width:1px;border-left-style:solid;border-left-width:1px;} .av-main-nav ul li:last-child > a{border-bottom-style:solid;border-bottom-width:1px;} .av-main-nav li{float:left;position:relative;z-index:20;} .av-main-nav li:hover{z-index:100;} .av-main-nav > li > ul{border-top-width:2px;border-top-style:solid;} .av-main-nav > li{line-height:30px;} .av-main-nav li a{max-width:none;} .av-main-nav > li > a{display:block;text-decoration:none;padding:0 13px;font-weight:normal;font-size:12px;font-weight:600;font-size:13px;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} .av-main-nav > li > a{-webkit-transition:none;transition:none;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} .current-menu-item>a>.avia-menu-fx>.avia-arrow-wrap,.current_page_item>a>.avia-menu-fx>.avia-arrow-wrap{display:block;} .avia-menu-fx .avia-arrow-wrap .avia-arrow{top:10px;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:0;} .main_menu .avia-bullet{display:none;} .avia-bullet{display:block;position:absolute;height:0;width:0;top:51%;margin-top:-3px;left:-3px;border-top:3px solid transparent!important;border-bottom:3px solid transparent!important;border-left:3px solid green;} .avia-arrow{height:10px;width:10px;position:absolute;top:-6px;left:50%;margin-left:-5px;-webkit-transform:rotate(45deg);transform:rotate(45deg);border-width:1px;border-style:solid;visibility:hidden;} .avia-menu-fx,#advanced_menu_toggle{-webkit-transition:all 0.3s ease-out;transition:all 0.3s ease-out;} .main_menu a{-webkit-transition:color 0.15s ease-out;transition:color 0.15s ease-out;-webkit-transition:background 0.15s ease-out;transition:background 0.15s ease-out;} @media only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:13px;} .header_color .main_menu ul:first-child>li>a:hover{background:rgba(255, 255, 255, 0.8)!important;} .menu-item-has-children:hover{background:rgba(255, 255, 255, 0.8);} .main_menu .avia-menu-fx{display:none;} .main_menu .current_page_item a .avia-menu-text{border-bottom:1px solid #1a1446;padding-bottom:6px;} .main_menu .sub-menu,.main_menu .sub-menu li a{background-color:rgba(255, 255, 255, 0.7)!important;border:0;font-size:14px!important;font-family:'roboto-bold'!important;} .main_menu .sub-menu li a:hover{background-color:#e8e8e8!important;} .main_menu li.dropdown_ul_available>a{padding-right:30px!important;} .main_menu li.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:12px;} .main_menu li.dropdown_ul_available>a:hover::after{} #header_main{border:none;background-color:#ffd000;} .logo img{width:250px!important;margin-top:10px;} @media screen and (max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}