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Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members' careers as they expect their teams to be on creating solutions for Pros. We also offer: A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k) Paid holidays and flexible, take-it-as-you-need-it paid time off Monthly tech reimbursements A culture built on innovation that values big ideas, no matter where they come from Role Overview: As a Specialist, Data Operations, you play a crucial role in ensuring seamless integration and functionality of QuickBooks within Housecall Pro. You will guide customers through setup, troubleshoot integration issues, and provide ongoing support to improve their experience. Your expertise in QuickBooks and strong customer-facing skills will help drive operational efficiency and user satisfaction. Our team is patient, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success. What you'll be each day: Guide Pros through QuickBooks integration setup processes Provide ongoing support to Pros on QuickBooks integration Coach best practices with QuickBooks Desktop and QuickBooks Online integrations Analyze source and quality of data, identify potential issues, and develop custom action plan Assist Pros with data validation, mapping, and synchronization between systems Communicate consistent trends and opportunities to our product and engineering teams for future improvements Document common troubleshooting steps and best practices to enhance customer self-service resources Innovation on current processes and proactively seek ways to improve the Pro experience Qualifications: 1-3+ years of full-time customer success, implementation, engineering or data implementation experience Experience using QuickBooks (Online and/or Desktop) in a professional capacity Bachelor's degree or equivalent experience in a related field Customer-facing experience in a technical support, onboarding, or training role What will help you succeed: A deep understanding of accounting principles and data reconciliation Excellent written/verbal communication skills Strong problem-solving skills Ability to work in a fast-paced, team environment Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro's brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 40,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we'd love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Location Dependent information This role is open to candidates and the expected compensation range for this role is $21.55-$25.35 / hour + 10% variable. The specific hourly rate for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro's the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we're scaling our team to help enable and accelerate our growth. Privacy Notice for California Job Candidates - Housecall Pro #LI-Remote

Partiful's mission is to cultivate friendships through social events. We believe parties (and other social events) are the most effective way to meet new people and make friends. Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicate with guests - download the app to see how it works! We're building new ways to streamline planning, connect meaningfully in the real world, and make connections between friends-of-friends. Our ultimate vision is to power everything you do in-person with your friends, eliminating the friction of bringing your most memorable experiences to life. You can read more about our mission in The Washington Post, The New York Times, The Wall Street Journal, The Atlantic, Wirecutter, and USA Today. Partiful was also recently named Google's Best App of 2024, a Finalist for Apple's App Store Awards, and Apple's App of the Day (awarded twice in 3 months). The Role We're looking for a business-oriented data scientist to help us unlock the full value of our data, supercharge our growth, and guide our product roadmap. You'll work closely with leadership, product, and marketing to help define meaningful metrics, guide product decisions with insights, and empower the team to use data confidently. This role sits at the intersection of business intelligence, product analytics, and data governance-helping to build systems and culture that make data more accessible and actionable for everyone. We're an NY- based team with a hybrid in-person model, in the office 3 days a week. Our data stack is Amplitude, Hex (SQL, Python), BiqQuery, DBT, and Javascript (not required). What you'll do: Make key data decisions across the company Analyze large and complex datasets to derive actionable insights Monitor performance trends and conduct diagnostic analyses (e.g., why did registrations spike?) Collaborate closely the product team identify key benchmarks for new features, and analyze the performance of all aspects of the product Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth Own the data dictionary and support a culture of data literacy across teams Maintain the Amplitude taxonomy and ensure it's reliable, documented, and intuitive Identify and execute on opportunities to improve our data infrastructure, processes, and tooling Provide regular updates and insights to help the company stay informed on progress towards our goals What you'll bring: A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 2-4 years of experience in data science or a related role Experience in consumer is preferred Fluency in SQL and Python (Javascript a plus) Experience with machine learning frameworks and libraries Familiarity with data tools such as Amplitude, DBT and Hex Experience using data to drive business decisions; care about not just what the numbers say, but how we use them to make better decisions Experience communicating complex data findings in a clear and concise manner to non-technical stakeholders Ability to collaboratively with others User empathy Ability to elegantly structure and decomp complex data problems Comfort with ambiguity Pattern of taking initiative, working independently, and thriving in fast-moving environments Ability to put ego aside when making decisions What we offer: 401(k) with up to 6% matching Comprehensive health, dental, and vision insurance for you and all your dependents (FSAs and HSA plans available) Free OneMedical membership, telehealth, and virtual mental health services Commuter benefits & contributions towards ClassPass and Citibike memberships Unlimited vacation (minimum 3 weeks required) Quarterly stipend to plan your own party and dogfood the product Semi-annual travel benefit & semiannual team off-sites Get invited to exclusive parties In your application, please include a note on what's got you excited about Partiful! The compensation range for this role is $140,000-$160,000 depending on years of experience. We're an equal-opportunity employer and strongly encourage applicants from traditionally underrepresented backgrounds to apply. We're proud to be a diverse team, and actively work to bring new perspectives to the table.

Job Family: Strategy & Transformation Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking Consultants with experience and knowledge of validating, loading, processing and analyzing Medicaid data and detailed member data across various states, public health entities and public data sources using SAS. These analyses will be leveraged to help inform work with state Medicaid, public health or state and local health and human services programs, including health benefits exchanges, Medicaid expansion, Medicaid managed care, Medicaid program operations, program improvement and state compliance requirements, and will be enhanced by a strong understanding about various state and local programs and policies across the country. The successful candidate will: Assist state agencies, including Medicaid, Behavioral Health, Developmental and Intellectual Disabilities, State Units on Aging and/or Social/Human Services in the development of data analytics to support strategic plans Assist clients in assessing business and technical requirements related to the implementation of program initiatives Have an understanding of MMIS claims datasets and Medicaid reimbursement Research and stay abreast of states' healthcare transformation efforts Perform data and qualitative research activities to address state research needs Responsible for supporting financial planning, modeling, analysis, and forecasting, assisting in financial assessment, preparing financial and other reports, and researching financial trends Document and communicate findings and support development of recommendations and follow-up steps to respond to findings Identify and collaborate with broad range of healthcare stakeholders Participate in analysis of client-identified issues or problems Manage projects and engagements of various sizes and durations Supervise and support the development of staff Effectively manage client interaction and managing client expectations Provide subject matter expertise, as requested and appropriate Help develop business with new clients, as requested Participate in non-client related firm-building activities What You Will Need: A Bachelor's degree from an accredited University Minimum of 7+ (SEVEN) years of previous work experience Experience in the health care data analytics industry specifically working with Base SAS Medicaid claims data experience - experience in analyzing Medicaid claims data using Base SAS in a professional setting Strong attention to detail and deliverable preparation Strong interest in state health agencies and healthcare reform, e.g., Medicaid, public health, health insurance, and health reform organizations (legislative, executive, governor's office) Ability to travel to meet client needs (10-20%) as required What Would Be Nice To Have: For specific roles, excellent quantitative analysis skills, with training in advanced data analytics, use of Power BI, Tableau or Spotfire Proficient in SQL Superior written and oral communication skills A strategic problem solver Demonstrated ability to self-manage task execution and manage discreet task / project / initiative functions. Working knowledge of Word, Excel, PowerPoint, and Access as well as the ability to conduct research through use of the internet and other information sources The ability to work overtime as necessary Assure high-quality client work product The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve. Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit. We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool. At Self Financial, we love to put challenges into the hands of talented individuals to solve. Our teams are composed of skilled professionals, who work together in concert to innovate both our credit building services and the processes we organize around. We empower every individual of the Engineering Organization to bring their creativity and skills to these efforts. Our goal is to build both world class credit building products and to foster an exciting and engaging work environment. In short, at Self, you will carry influence. As our Principal Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates through coaching and mentorship, collaborate cross-functionally to implement impactful improvements to our product. As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to our team members. Our team supports Self Financial's internal Analytics, Machine Learning, and Business Intelligence organizations. What can you expect to work on/who you will work with? The Principal Data Engineer is part of the Self Financial Data Engineering Team and operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management Your primary focus will be to provide technical leadership for the operations of the Data Engineering team at Self Financial. This includes making design decisions regarding the architecture of our data environment, providing guidance on tools and processes, collaborating with and supporting our data customers, and providing technical mentorship for the team. Your day-to-day activities will include: Collaborate closely with Product Management and data customers to translate Self Financial's strategic vision into actionable projects. Provide leadership in data architecture design, platform design, process design, and tool selection and implementation for the Data Engineering technology stack. Create physical and logical data models using large, complex datasets. Manage data pipelines and ETL/ELT processes using SQL and Python. Establish tools and processes to manage data lifecycle and quality standards. Who you are: 10+ years of experience with database development, database integration, and data analytics tools 10+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball) Proven experience with technical leadership with an data engineering team Willingness to embrace the responsibilities of team leadership and accountability for team results. Expertise in managing Data ETL/ELT with large data sets Experience with columnar data structures such as Amazon RedShift Extensive experience with AWS data warehousing tools. Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms. Expertise with Apache Airflow and Python Excellent listening, interpersonal, written, and oral communication skills The interview process: 30 - 60 minute phone screen with the hiring manager 1.5 hour coding/design/Q&A session with 2 or more developers 30-minute interview with product manager 30-minute wrap-up meeting with the hiring manager, if moving forward Benefits and Perks: We have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. We have a Do the Right Thing ethos in all that we do, and we hope you value that approach, too. Our perks include: Company equity in the form of Stock Options Performance-based bonuses Generous employer-paid health, vision and dental insurance coverage Flexible vacation policy Educational assistance Free gym membership Casual dress code Team building events and activities Remote work arrangements/ flexible work schedule Paid parental leave Self Financial requires all employees hired to successfully pass a background check. We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as the Enterprise Data Leader at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. The Enterprise Data Leader will oversee MMA's data strategy, ensuring data governance, quality, and accessibility to support business decision-making. This role will lead initiatives for data integration and management across the enterprise, including a strong focus on enhancing the integration of acquisition data. Working with business strategy leadership, this role will be at the forefront of the MMA data platform, responsible for overseeing the collection, management, and analysis of data across MMA. In addition this leader will support global MMC initiatives to bridge and unify data when applicable to MMA. This role will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. The Enterprise Data Leader will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Guiding the team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering the team, this leader will champion a culture of data-driven decision-making and continuous improvement across the organization. Staying abreast of emerging technologies and industry trends, they will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Key Responsibilities: Data Platform Leadership: Own the design, implementation, and management of enterprise data platforms, including data lakes, data warehouses, and data integration tools. Partner with infrastructure and security teams to ensure scalable, resilient, and secure environments. Data Architecture and Engineering: Define and evolve data architecture standards and patterns for ingestion, transformation, and delivery. Oversee the development and support of robust data pipelines to ensure high-quality, timely data access. Responsible for aligning data architecture with enterprise architecture and business goals to ensure that data systems are integrated effectively, including strategy around new acquisition data integration. Governance & Quality: Operationalize data governance across domains, driving metadata management, lineage, stewardship, and quality frameworks. Collaborate with legal, compliance, and security teams to ensure all data meets regulatory and privacy standards. Team Leadership & Organizational Development: Lead and grow a team of data architects, engineers, and governance professionals. Create a high-performing, collaborative, and accountable team culture aligned with enterprise goals. Business Partnership & Enablement: Partner with analytics, operations, and functional leaders to deliver reliable data services that meet strategic and operational goals. Act as a key advisor to the enterprise data strategy group, shaping priorities, investments, and adoption paths. Operational Oversight: Ensure efficient operations, capacity planning, and incident response within the data services domain. Establish SLAs, KPIs, and reporting to measure data team performance and platform value. Emerging Technologies Evaluation: Stay informed about emerging data technologies and industry trends, evaluating their potential impact on the enterprise data environment and recommending adoption where appropriate. Our future colleague. We'd love to meet you if your professional track record includes these skills: Enterprise Data Architecture: Extensive experience in designing and implementing enterprise data architectures that support data integration and analytics initiatives. Data Governance Expertise: In-depth knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and integrity. Analytical Tools Proficiency: Familiarity with data analytics tools and programming languages (e.g., SQL, Python, R), as well as data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. MMA IT Leadership Core Requirements: Business Acumen: Strong understanding of business operations and strategy, with the ability to align technology decisions with business goals and drive value for the organization. Cross-Functional Leadership Experience: Proven ability to lead cross-functional teams and initiatives, fostering collaboration among IT, business units, and other stakeholders to achieve common goal. Strong Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex architectural concepts to both technical and non-technical stakeholders effectively. Problem-Solving Skills: Strong problem-solving skills, with a track record of identifying and resolving complex technical challenges. Leadership and Mentorship: Demonstrated leadership skills, with experience mentoring and developing team members and proven track record of growing leaders. Financial and Operational Management: Proven ability to manage team budgets, ensuring financial resources are utilized effectively to meet key metrics, project and departmental goals. Enterprise Transformation: Demonstrated experience in leading large-scale enterprise transformation initiatives, including successful implementation of new technologies and processes. Change Management: Proven experience in leading change management efforts related to technology, people, process and digital enablement ensuring stakeholder buy-in. Agile Transformation Leadership: Experience in leading Agile transformation initiatives within IT teams, fostering a culture of collaboration, flexibility, and responsiveness to changing business needs. Continuous Improvement Focus: A commitment to fostering a culture of continuous improvement, leveraging feedback and lessons learned to enhance processes and practices. Regulatory Compliance Experience: Familiarity with industry-specific regulatory or business control requirements (e.g., SOC, NYDFS, ITGC, HIPAA) and experience in ensuring that enterprise technology solutions comply with these requirements. Culture and Engagement: Experience working in diverse, global teams, with an understanding of cultural differences and the ability to foster an inclusive, authentic environment that values diverse perspectives and builds a community of colleague engagement and satisfaction. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-REMOTE The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 29, 2025

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description Our Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals. Position Responsibilities As a Staff Engineer, you will: Scope, design, and build scalable, resilient Data Lakehouse components Lead architecture sessions and reviews with peers and leadership Accountable for the quality, usability, and performance of the solutions Spearhead new software evaluations and innovate with new tooling Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Collaborate with customers, team members, and other engineering teams to solve our toughest problems Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community Consistently share best practices and improve processes within and across teams Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community Qualifications Exemplary ability to design and develop, perform experiments Experience developing new and enhancing existing open-source based Data Lakehouse platform components Experience cultivating relationships with and contributing to open-source software projects Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent) Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Expertise in developing distributed systems that are scalable, resilient, and highly available Expertise in container technology like Docker and Kubernetes platform development Experience with continuous delivery and infrastructure as code In-depth knowledge of DevOps concepts and cloud architecture Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent Ability to excel in a fast-paced, startup-like environment Experience 6+ years of professional experience in data software development, programming languages and developing with big data technologies 4+ years of experience on open-source development 3+ years of experience with architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor's degree in Computer Science, Information Systems, Mathematics or equivalent education or work experience #LI-RP2 Annual Salary $115,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Job Requirements Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,600 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! We are looking for a passionate and driven associate engineer to join our data engineering team to support the extension of our data pipelines for ontology-based use cases. This is an excellent opportunity for a recent graduate to work on real-world data integration challenges and gain hands-on experience with modern data technologies and semantic data modeling. As an Associate Data Engineer, you will work closely with experienced engineers to develop data ingestion pipelines, transform datasets for semantic alignment, and support intelligent data products that power personalization, analytics, and AI use cases. What You'll Do Design, develop, and maintain scalable data pipelines to ingest and enrich new data sources. Implement data transformations and mappings to align raw data with enterprise ontologies and taxonomies. Collaborate with ontology specialists, data scientists, and application teams to understand semantic requirements. Develop frameworks for metadata tagging, entity resolution, and relationship extraction. Ensure data quality, observability, and reliability in extended pipelines. Optimize data workflows for low-latency and real-time use cases where applicable. Support deployment of use cases such as semantic search, skill inference, and personalized recommendations. Requirements Degree in Data Science, Computer Science, Information Systems or related fields. Strong logical reasoning, problem-solving, and analytical thinking skills. Curiosity and interest in building a career in data engineering. Exposure to at least one programming language (preferably Python or Java). Good knowledge of databases and SQL. Interest in data modeling, pipelines, or semantic technologies (ontology, taxonomies, knowledge graphs). Completed coursework, internships, or personal projects related to data engineering or data science would be an asset(s). Familiarity with tools like Airflow, Spark, or any data integration platforms would be an asset(s). Exposure to graph databases or semantic web concepts would be an asset(s). Salary Expected salary range $70,000 - $90,000 Please note the Salary range is subject to change in the future in accordance with Phenom's policies Benefits We want you to be your best self and to pursue your passions! Health and wellness benefits/programs to support holistic employee health Flexible hours and working schedules, as well as parental leave for new parents Growing organization with career pathing and development opportunities Tons of perks and extras in every location for all Phenoms! Please note: We do not offer sponsorship for this position. You must be willing to work in a hybrid model (3 days in office) and live within a 50-mile radius of our Ambler, PA headquarters. #LI-PL1

Job Description: The Data Center Operations Technician I is a 24x7x365, market-based position responsible for providing physical and Level II technical support to Flexential customers and resources. A solid understanding of Facilities infrastructure, Windows operating systems, PC troubleshooting and management applications. Data Center Operations Technician I's must be able to demonstrate the ability to represent Flexential both professionally and technically during interactions with customers and internal resources in a calm and professional manner. Key Responsibilities and Essential Job Functions: Provide timely resolution and/or escalation of Facility and customer issues. Maintain a professional attitude and conduct while in the performance of the data center duties. Troubleshoot and document technical issues using Flexential ticketing system. Follow Flexential Support and Data Center policies, processes, and procedures. Provide local access and escort for vendors and carriers. Perform remote hands work for internal and external customers. Flexibility to support 24 / 7 operations with ability to work any shift in a 24x7x365 environment. Assist and/or complete physical and logical installations of Flexential services. Maintain cleanliness of the Data Center and surrounding supporting areas. Perform Facilities Rounds and escalate pertinent information. Process all in and out bound shipping/receiving for Customer and Flexential Deliveries. Operate and Manage Badge Access Security System. Assist Critical Infrastructure Manager (CIM) on an as needed basis. Work with local mgmt. to maintain cabling and general usage item inventory levels. Perform other duties as required and assigned. Required Qualifications: Passion for providing a great customer experience Understanding of Windows and Microsoft Operating systems Must be a self-starter and motivated Excellent verbal and written communications skills. Strong attention to detail, making and keeping commitments and meeting deadlines. Prefer 1 year of experience working within an IT Support environment AA, BS, or High School Diploma Network +, Security + and / or CCNA desired Microsoft MCP or MCSA preferred Physical Requirements: Ability to climb ladders and work aloft Ability to work in cold temperature environments Ability to maneuver pallet jacks and lift heavy objects Ability to pull and install cabling This position has the following safety hazards: ☒ Electrical ☒ Ergonomics ☒ Climb ladders ☒ Mechanical lift ☒ Noise ☒ Temperature Extremes ☒ Trip/Fall Base Pay Range: Hourly salary range offered for this position is estimated to be $20.00 - $21.50. However, the actual pay range depends on each candidate's experience, location, and qualifications. #LI-Onsite Flexential participates in the E-Verify program. Please click here for more information. Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today! Benefits of working at Flexential: Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program Benefits are subject to change at the Company's discretion. EEO Statement: Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Company Summary Arlo Solutions (Arlo) is an information technology consulting services company that specializes in delivering technology solutions. Our reputation reflects the high quality of the talented Arlo Solutions team and the consultants working in partnership with our customers. Our mission is to understand and meet the needs of both our customers and consultants by delivering quality, value-added solutions. Our solutions are designed and managed to not only reduce costs, but to improve business processes, accelerate response time, improve services to end-users, and give our customers a competitive edge, now and into the future. Position Overview Arlo Solutions is seeking a highly skilled Data Engineer Level II to join our team supporting the HUMINT & Sensitive Activities Directorate within the Office of the Under Secretary of Defense for Intelligence and Security (OUSD(I&S)). This role is crucial in providing data analytics and visualization support to enhance decision-making processes related to sensitive activities and special programs. Work Location: Pentagon, Arlington, VA Clearance: Active TS/SCI Clearance Job Responsibilities and/or Success Factors Prepare data for analysis by cleaning, filtering, and handling missing values to ensure data accuracy and relevance. Utilize statistical tools to explore and analyze data, identifying patterns, relationships, and trends. Create visual representations of data findings through charts, graphs, and dashboards for clear and concise communication. Prepare reports and presentations to communicate insights and findings to stakeholders, influencing policy and decision-making processes. Collaborate with various departments to understand data needs and assist in making informed decisions based on data insights. Support the development, review, and revision of strategy, policy, and legislation related to DoD sensitive activities. Maintain historical records related to sensitive activities reporting and related legislation. Develop and maintain standard operating procedures (SOP) and key references for sensitive activities reporting and assessments. Education and Minimum Qualifications Must be a US Citizen with an active TS/SCI Clearance. Bachelor's Degree in Computer Science, Software Engineering, or a related field. Minimum of 3 years of professional experience as a Data Analyst, Data Engineer, or in a related role involving data analytics, reporting, and visualization. Proven experience in designing, developing, implementing, troubleshooting, and enhancing data analytics and visualization from concept through to production for complex datasets. Basic knowledge of cloud computing platforms such as Amazon Web Services (AWS), Azure, or equivalent. Demonstrated ability to work with large datasets and develop data analytics and visualization tools to support executive-level decision-making. AAP Statement We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.

The Senior Data Scientist- Credit Modeling will work in the Analytics Department of Southeast Toyota Finance (SETF), a division of JM Family Enterprises, and will be responsible for developing solutions that drive improved efficiency and quantify portfolio performance in credit risk, residual risk, collection, and recovery. This individual should comprehensively understand consumer lending and the characteristics that drive performance and profitability. They must have excellent predictive modeling skills and be able to communicate how analytical solutions can positively impact the business effectively. The individual must know advanced statistical modeling techniques and software. Responsibilities include, but are not limited to: Work on advanced analytics projects to produce statistically sound operational, portfolio, behavior, and recovery models that drive actionable/implementable results under aggressive deadlines. Quantify and communicate the credit and residual loss exposure on SETF's retail and lease portfolios incorporating different economic scenarios and seasonal trends for budgeting and reserve purposes, including CECL models and forecasts. Develop and implement residual value models to determine accurate residual values for leased vehicles. Develop operational models to help quantify and control risk while increasing efficiency/automation. This includes developing, monitoring, and deploying origination and collection scorecards and strategies. Develop advanced machine learning and statistical models to solve complex business challenges. Communicate model results to stakeholders. Contribute to feature engineering strategies to enhance model performance. Stay updated on the latest advancements in machine learning and data science. Effectively communicate complex technical concepts to stakeholders. Create visually compelling PowerBI visualizations to aid decision-making. Use advanced AI in new areas of the business. Manage the full modeling lifecycle of forecasting models, ensuring compliance with regulatory environments. Work on end-to-end modeling processes, including data procurement, model estimation, implementation and deployment, and monitoring and testing. Provide insights from the models and modeling exercises to support business risk management and strategies. Provide comprehensive portfolio tracking, analysis, reporting, and forecasting. Provide detailed explanatory analysis and make recommendations to senior management; Proactively identifying risks and opportunities based on current trends and future outlooks. Present credit and residual loss trends to the executive management team. Develop and/or enhance advanced reporting solutions: portfolio reporting, portfolio stability reports, and model monitoring. Collaborate with cross-functional teams, including accounting, finance, treasury, and other company stakeholders. Mentor junior team members. Qualifications: A Master's or Ph.D degree in statistics, data science, operations research, mathematics and/or other quantitative analysis is required 5+ years of financial, credit risk, and analytics resource management; indirect automotive lending experience and/or consumer lending preferred. Minimum of 5 years of statistical modeling and/or quantitative analysis experience; Experience in using Python, SAS, R, or any comparable statistical or data extraction software is preferred. Experience managing advanced modeling projects and collaborating well with other team members. Strong interpersonal and communication skills (verbal and written) Ability to diplomatically communicate findings across departments and to upper management. Ability to effectively operate with multiple priorities and changing directives. Self-motivated with the ability to anticipate department needs, discern work priorities, and meet deadlines. Forward thinker who actively seeks opportunities and proposes solutions. Must be a highly detailed process-driven individual who demonstrates success at building trust and influence while driving for results with and through people. #LI-AM1 #LI-HYBRID This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary. JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard to age, race, religion, color, gender, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, gender expression, mental or physical disability, national origin, marital status, citizenship, military status, genetic information, veteran status, or any other characteristic protected by federal, state, provincial, or local law. DISABILITY ACCOMMODATIONS If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family's Talent Acquisition department at talentacquisition@jmfamily.com for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance.

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This wouldn't be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions. High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high performance trading software using a team-based, holistic development approach. We look for passionate team members that excel and their contribution is critical to our continued success. Belvedere Trading is looking for a proven Senior Data Engineer to work directly with our trading desks to improve trading performance. This role will be instrumental in ensuring data availability, breadth, and reliability to make better trading decisions. A Senior Data Engineer will work directly with on-desk staff to architect robust and scalable analytical solutions. Our Data Engineers are responsible for data services, including ETL pipeline implementation, data warehouse architecture, data quality automation, and analytic visualization. We expect a Senior Data Engineer to need minimal guidance on architecture best practices and to communicate clearly to stakeholders across the organization. Team Belvedere is an environment where you will solve challenging problems that result from petabytes of high-fidelity data. We incrementally add value to our trading desk and, at the same time, design long-term architectures to scale. We seek someone passionate about data and who enjoys working in a fast-paced environment. What You'll Do Work with our traders to understand analytic needs to improve trading performance. Design and maintain a modular data architecture to facilitate and scale future analysis. Ensure high data quality for all analytical trading datasets. Hold other team members to data standards, including modular design, testing, and documentation. Hold other team members to visual standards, including modular design, testing, and documentation. Ensure technical solutions are simple and scale well for future use cases. What You'll Need Experience designing and developing big data warehouses and ETL pipelines. Proven knowledge of SQL and Python. Demonstrated ability to navigate and integrate data across multiple data platforms, including RDBMS, NoSQL, and Time Series. Experience with real time messaging systems, such as Kafka, Kinesis, and Pulsar, and with developing a stream processing framework, such as Flink or Spark, a plus. Proficiency in crafting high-performance BigQuery queries, optimizing for efficiency and scalability to handle large datasets effectively. Excellent verbal and written communication, analytical, and problem-solving skills. $150,000 - $225,000 a year Additionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here. Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders provide liquidity to the market through market-making activities in a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-evaluated, optimized, and improved to stay on top of the industry. This wouldn't be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please.

Industry/Sector Not Applicable Specialism Deals Management Level Associate Job Description & Summary At PwC, our people in Deals, M&A - data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity As part of the Deals; M&A - Tech & Data team you contribute to business consulting projects and understand the business deal transaction environment. As an Associate you focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You navigate multiple engagements, manage stakeholder expectations, and build relationships with clients. Responsibilities Contributing to client engagement and projects Understanding business deals & M&A transaction Consulting environments Navigating multiple engagements Managing stakeholder expectations Building relationships with clients Developing skills and knowledge in business consulting Enhancing quality through technology-enabled experiences Participating in project tasks and research What You Must Have Bachelor's Degree in Accounting, Business Administration/Management, Economics, Engineering, Finance, Management Information Systems, Computer and Information Science, Data Processing/Analytics/Science 2 years of experience in Deals, M&A - Tech & Data . What Sets You Apart Master's Degree preferred Certifications in database programming such as Oracle, MS SQL Server, etc. and/or data visualization certifications such as Tableau and PowerBI Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Possessing analytics & problem-solving capabilities Proficiency with relational database models and writing SQL queries Experience with data visualization tools (e.g. QlikView, Tableau, Power BI) Basic understanding of key financial statements and accounting principles Ability to think critically about problems and apply analytics strategy Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $75,000 - $118,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description The Role: Data Scientist Location: BOS/NYC Rue Gilt Groupe is looking for a Data Scientist to join our industry-leading Data Science and Machine Learning Team. In this role, you will work with our seasoned data scientists and engineers to build innovative AI solutions that power our profitable, off-price, luxury e-commerce business with three uniquely established brands: Rue La La, Gilt, and ShopSimon. We inspire confidence and spark delight in over 50M customers, and we are evolving our machine learning models and data science platform to unlock significant opportunities for continued growth and success. Come help us build the next generation of our products! Responsibilities: Work on challenging AI/ML projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members Develop innovative solutions to business problems leveraging both classic and cutting-edge AI/ML algorithms/frameworks Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support You will be involved in the design and implementation of applications and tools based on AI (including GenAI) that will revolutionize the way our software interacts with users while maintaining a responsible approach to the use of these technologies Identify opportunities for data science to increase the organization's efficiency and lift our core business Collaborate with a wide range of business stakeholders and departments ranging from Marketing, Merchandising, and Planning to Executive Leadership Work in multi-functional agile teams to experiment continuously, iterate, and deliver on data-driven product objectives Work closely with fellow engineers from other teams to design and develop cross-team data exchange microservices, effectively communicating your needs and understanding theirs About You: At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness, and innovation. We're committed to fostering an inclusive environment where every Associate is empowered to learn, grow, and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. PhD in Computer Science, Data Science, Engineering, or a related field with 1+ years of industry experience or a Masters degree in Computer Science, Data Science, Engineering, or a related field with 3+ years of industry experience Proficiency with Deep Learning frameworks such as TensorFlow, Keras, and PyTorch. Experience in Reinforcement Learning and Bandit frameworks. Strong knowledge of Spark or similar big data platforms and technologies. Demonstrated experience working in an agile environment, delivering iteratively and efficiently. Expertise in machine learning, feature engineering, and software development. Proven experience with statistical modeling and large-scale data analytics. Skilled in writing clean, efficient code in Python and SQL. Experience working with structured and unstructured data and table design. In-depth understanding of system design, data structures, and algorithms. Experience with workflow orchestration tools, such as Apache Airflow. Familiarity with production-grade Large Language Models (LLMs) and Generative AI. Familiarity with building scalable microservices for high-volume data delivery on AWS or similar platforms. Excellent interpersonal and communication skills, with the ability to collaborate effectively in a team environment, accept feedback, and foster a collaborative spirit. Result-driven approach to executing AI/ML solutions to drive business growth. Expected Base Salary Range: $100,000 - $130,000 About the Data Science and AI Team: The Data Science and AI Team gives you the freedom to use the latest cutting-edge techniques and technologies in their experimentation to move the data science and personalization efforts forward with the goal of increasing the magic of our 50M members' online shopping experience and our annual revenues. We are uniquely positioned in the sense that the team is responsible for both creating data science solutions and productionizing the solutions in a scalable cloud environment, which removes the barrier between the science and engineering that we typically see in the industry. ABOUT US: Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We've defined the online treasure hunt through our daily sale events, allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites- Rue La La, Gilt, and Shop Premium Outlets. Our vision at RGG is to spark delight through daily discovery - we make shopping an occasion to celebrate. At the forefront of fashion and technology, we're also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected - every day. Our culture is rooted in our values, and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious, and Empowered. ABOUT US: Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We've defined the online treasure hunt through our daily sale events allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites- Rue La La, Gilt, and ShopSimon. Our vision at RGG is to spark delight through daily discovery - we make shopping an occasion to celebrate. At the forefront of fashion and technology, we're also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected - every day. Our culture is rooted in our values and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Job Description We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist's data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. Job Responsibilities Identification of new data sets Engaging with vendors to understand characteristics of datasets Building processes and technology tools to ingest, tag and clean datasets Analysis of datasets to generate descriptive statistics and propose potential applications of data Research of potential "alpha signals" for presentation to Portfolio Managers Monitoring and enhancing the automated data collection and cleansing infrastructure Research on new technologies for improved data management and efficient retrieval Desirable Candidates Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling Experience applying statistical tests to large data sets Programming skills in SQL, TSQL, SQL Server or PL-SQL Programming skills in Python and at least one of C#, C++, or Java Financial industry experience preferred but not required Experience dealing with intraday, tick and order book data a plus Strong problem solving skills Intellectual curiosity and a love of learning Attention to detail and a love of process Strong oral and written communication skills The annual base salary range for this role is $125,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Carter Machinery Company, the authorized Caterpillar dealer serving Virginia, West Virginia, Maryland, Delaware and Washington D.C. is hiring a Project Management Trainee in Elkridge, Maryland. The Project Management Trainee performs assigned duties in pre-assigned locations and departments under direction of experienced personnel, to gain knowledge and experience required for promotion to project management positions within the power systems division of the Company. Seeking candidates with a high school diploma or equivalent; College degree in related field or three years related work experience preferred; Project management experience preferred. Requirements for the Project Management Trainee include: Excellent verbal and written communication skills. Excellent interpersonal and customer service skills. Excellent organizational skills and attention to detail. Excellent time management skills with a proven ability to meet deadlines. Strong analytical and problem-solving skills. Must be able to prioritize tasks and to delegate them when appropriate. Must be able to function well in a high volume and fast-paced environment. Proficient with Microsoft Office Suite or related software. Willingness to work out of town up to 75% of the time during training period and travel throughout Carter's territory. Must be open for the possibility of relocation within Carter's territory. Promote a positive customer experience. Uphold the Core Values of Integrity, Commitment, Excellence and Teamwork by embracing The Carter Way. Physical requirements must be met for the Project Management Trainee job, including the ability to sit and talk or hear. The employee is frequently required to stand; walk; use hands to finger, handle, or feel and reach with hands and arms. Employee may occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, distance vision and ability to adjust focus. This job description is not intended to be all-inclusive. Additional duties may be assigned. Starting Compensation Range: $75,000 - $80,000 per year Actual base salary may vary based upon, but not limited to, relevant experience, skills, candidate qualifications, education, geographic location, and other relevant business factors. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance e.g. discretionary incentive programs or non-discretionary incentive plans. Competitive Compensation and Benefits: Health, dental and vision insurance. Paid time off. 401(k), $0.75 to $1.25 match up to 6%. Life and disability insurance. In-house training instructors/programs. Tuition reimbursement. Employee referral bonus program. Discounts: cellular phone service, computers, tooling, cars and trucks. Opportunities for overtime Shift differential (if applicable) Carter Machinery Co. Inc. is an EEO/AA Employer. All qualified individuals - including minorities, females, veterans, and individuals with disabilities, or any other characteristic protected by law - are encouraged to apply. Carter Machinery is a drug-free workplace.

Welcome! We're excited you're considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full. Below, you'll find other important information about this position. Responsible for accurately coding complete, and concurrent abstraction of oncology patient data to be utilized by administration, clinical trials, research, state and national reporting, maintaining certifications, accreditations, and quality improvement within the Oncology Services. Position requires excellent computer skills and ability to work independently and remotely while maintaining security and confidentiality of patient information. Responsibilities include case finding eligibility, abstracting cancer cases, staging, coding all treatment and all follow up activities. Responsible for identifying and reporting quality discrepancies found in the EMR MINIMUM QUALIFICATIONS: EDUCATION, CERTIFICATION, AND/OR LICENSURE: Associate degree in health sciences field or related field with completed college courses in Anatomy and Physiology, and Medical Terminology. Must obtain Oncology Data Specialist credential (ODS-C) with required CE's maintained with annual renewal of credential, within two years of hire. PREFERRED QUALIFICATIONS: EDUCATION, CERTIFICATION, AND/OR LICENSURE: Completed college courses in Pathology. EXPERIENCE: Two (2) years of medical office experience including principles, procedures, medical terminology of malignant diseases, tumor classification by the primary site and histology. CORE DUTIES AND RESPONSIBILITIES: The statements described here are intended to describe the general nature of work being performed by people assigned to this position. They are not intended to be constructed as an all-inclusive list of all responsibilities and duties. Other duties may be assigned. Case Finding: Identifies all cases to be entered into the Suspense section of the Cancer Registry Data Base. Case finding activities requires analyzing and decision-making skills to interpret and determine whether a case qualifies for abstraction. Abstracting: Accurately completes an electronic abstract on each eligible primary including all medical, social, family, work, and environmental histories, cancer identification, staging, all treatment, and follow up information using regulations from all available resources. Responsible for completing and verifying the accurate physician TNM Stage, Summary Stage and Collaborative staging systems. The abstract must be completely documented with text, accurate coding assigned for diagnosing information, cancer identification, staging, and all treatment information. Abstracting requires communication with other physician offices, outside hospitals in any manner necessary to facilitate the complete abstracting process. All outside oncology information must be included in the completed abstract. Each registrar is assigned specific cancer sites for abstraction and must meet productivity and quality standards according to the West Virginia Cancer Registry (WVCR) and the WVU Cancer Institute Policies and Procedures. Abstracts 100% of all identified cancer patient diagnosis, staging, and treatment into the WVU Medicine Cancer Registry system with 90% accuracy. Abstracts must be completed within the mandated timeframe set by state and national guidelines. The registrar is responsible for identifying and reporting all documentation errors and discrepancies to the registry manager. Follow Up: Monitor vital status, cancer status, recurrence, any additional treatments for patient's lifetime. Follow up procedures include: all available EMRs systems, phone contacts, letters to physicians, patients, and other agencies as appropriate. Participates in the Cancer Committee meetings and in accreditation surveys as requested. Participate in all current and future Commission on Cancer (COC) Quality Improvement Programs and Quality Improvement measures as required for accreditation. Completes all Special Quality Studies as required by the COC. Participates in all scheduled Health System conference calls, meetings, and education webinars, provides updates for quality improvement, software updates, and policies and procedures changes. Promotes and contributes positively to the teamwork of the department by volunteering to assist co-workers, contributing ideas, and problem solving with co-workers. Required to program electronic data reports for research as requested by administration, physicians, and research projects. Collects and analyzes data for reports such as survival percentages, population analyses, and site-specific data. Participates in planning, implementing change, maintaining, and improving productivity through attendance and participation in staff meetings, committees, task forces, projects, and discussions with manager. Participates in continuing education activities annually to meet COC requirements. PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to abstract data for sustained periods of time. Ability to sit for long periods of time. Ability to perform occasional light work including standing, walking, bending, and lifting weights to ten pounds. WORKING ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Standard Office Environment. Reliable high-Speed Internet Required. SKILLS AND ABILITIES: Ability to use and locate complex medical resources. Experience with Coding Systems. Must be detail oriented with the ability to organize and complete work under deadlines. Ability to use multiple electronic medical systems and multiple cancer registry systems. Demonstrate competency and proficiency in all required computer systems. Maintains a working knowledge of JCAHO, COC and all state statutes related to the WVU Medicine Cancer Institute Cancer Program. Must be able to work independently, adapt quickly to change, and perform all responsibilities of the cancer registrar. Excellent communication, presentation, facilitation and writing skills. Must be able to interact appropriately with professional and administrative staff as part of a collaborative team. Must have problem-solving and electronic trouble shooting skills. Skills in Anatomy, Physiology, Pathology, Cancer, Oncology Terminology. Additional Job Description: Scheduled Weekly Hours: 40 Shift: Exempt/Non-Exempt: United States of America (Non-Exempt) Company: WVUH West Virginia University Hospitals Cost Center: 8894 WVUH Oncology Cancer Registry