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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryDo things that matter. Diabetes, congestive heart failure, COPD, back pain, asthma, pulmonary fibrosis, chronic kidney disease, Alzheimer's, multiple sclerosis, cancer... everyone knows someone affected by these conditions. Our goal is to decrease cost and improve health for members with chronic disease. We do this by using data science and advanced analytics (e.g., condition specific predictive models and clinical data mining) to improve their care journeys and outcomes, focusing on the right members getting the right interventions at the right time. Mission aligned to improve health. With 1,000+ health hubs, 1,100+ minute clinics, 23M+ lives insured by Aetna, and 100M+ lives with pharmacy benefits coverage through Caremark. With this unique collection of assets, CVS Health has an unparalleled platform to make a significant impact on healthcare in the US and beyond. We have actual big data. The combined data assets of CVS are massive: medical and pharmacy claims, health care records, commercial store, and transactional data for 100M+ members. The scale of our data will allow you to design and test powerful experiments and challenge yourself to innovate in ways that others simply cannot. An elite team. You’ll be joining a team of MDs, PhDs, MBAs, and top analytics professionals that bring their clinical, technical, and economic experience to bear on some of the toughest targets in healthcare. Our PBM Analytics team is tasked with optimizing our ability to engage with our 100M+ Caremark members to help them make better healthcare decisions, particularly relating to the medications they take. Our goals are to improve clinical outcomes and to help members gain more transparency into the healthcare system so that they can save money and have better experiences. To do this we’ve developed a leading capability that combines data science, agile marketing, behavioral economics, large scale experimentation, and optimization of our digital capabilities. Through this we message millions of members each year about real challenges they face and help them become healthier or save money – we drive tangible and meaningful impact for our members. This role is required to<ul> <li>Develop and/or use algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes</li> <li>Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry</li> <li>Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics</li> <li>Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions</li> <li>Interact with internal and external peers and managers to exchange complex information related to areas of specialization</li> <li>Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions</li> <li>Use strong programming skills to explore, examine and interpret large volumes of data in various forms</li> </ul> Required Qualifications<ul> <li>3+ years of relevant analytic experience</li> <li>Experience programming using R or Python</li> <li>Experience in SAS or SQL</li> </ul>​Preferred Qualifications<ul> <li>Demonstrates strong ability to communicate technical concepts and implications to business partners</li> <li>Anticipates and prevents problems and roadblocks before they occur</li> <li>Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources</li> <li>Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analysis, and predictive modeling and in-depth specialization in some areas</li> <li>Foundational knowledge of PBM business functions, including underwriting, sales, product development, network management, and trade</li> </ul> EducationBachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferredAnticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$83,430.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/20/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Senior Data Scientist - UM strategy and management

CBRE

Business Intelligence Manager

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary We are looking for a Principal Data Scientist to join our Government Consumer Analytics team at CVS Health. This high-level individual contributor will partner closely with the AVP of Government Consumer Analytics to drive hands on technical excellence across the most complex projects across the portfolio, lead a culture of technical rigor and excellence, and define key standards across an organization of ~80 data scientists and engineers.Description / Fundamental Components:Hands-On Data Science Excellence for Highly Complex Projects (60%)<ul> <li>Anticipates and solves strategic and high-risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions</li> <li>Leads development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes</li> <li>Establishes analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses</li> <li>Evaluate advanced industry-leading approaches and determine which to incorporate into CVSH technical approach</li> <li>Work across 2-3 highly complex projects at a time (50/30/20), with a combination of hands-on, problem solving, and coaching</li> </ul>Technical Development &amp; Mentorship (25%)<ul> <li>Hold team-wide office hours regarding technical challenges and problem solving</li> <li>1:1 technical coaching with 10-20 individual contributor teammates</li> </ul>Define Data Science Standards &amp; Best Practices (15%)<ul> <li>Identify opportunities to implement improved best practices</li> <li>Provides guidance to develop enterprise-wide analytics strategy and roadmap</li> </ul>Required Qualifications<ul> <li>10+ years of progressively complex related analytics experience</li> <li>8+ years' experience leading analytics project from concept to delivery, coordinating across a diverse group of stakeholders, anticipating and preventing roadblock and driving business impact</li> <li>8+ years' experience with advanced analytics tools and languages, analyzing large data sets from multiple data sources</li> <li>8+ years' experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling</li> <li> 8+ years' experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning, casual inference and experimental design </li> <li>5+ years' industry experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences</li> </ul>Preferred Qualifications<ul> <li>Excellent analytical and problem-solving skills</li> <li>Strong organizational, management and leadership skills</li> <li>Knowledge of the health care industry, products, systems, business strategies and products</li> </ul>Education<ul> <li>Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Physics, Operations Research, Engineering, or related discipline</li> <li>Master's degree or PhD preferred</li> </ul>Pay RangeThe typical pay range for this role is:$144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/21/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Principal Data Scientist - Government Consumer Analytics

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: Client Protection is looking for an experienced analytical leader to join the digital commerce fraud strategy team. This is an exciting opportunity given the constantly evolving nature of digital adoption and attacks in marketplace as well as in money movement. The incumbent will be responsible for managing a team focused on fraud and scam prevention strategies for key digital money movement channels. Responsibilities will include, working across multiple lines of business; partnering with product, technology, operations, vendors, and others; responsibility for the overall first party fraud loss line; and evaluating various internally developed and vendor provided machine learning tools to maximize client experience while managing fraud most effectively. As a Fraud Strategy Manager with the Client Protection organization, you will capitalize on technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers. In the role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, results oriented with a track record of thriving in a fast-paced entrepreneurial environment. The role will be responsible for several key areas: • Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud. • Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed. • Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity. • Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes. • Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. • Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud. • Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology. • Drive the development of new models designed to detect fraud activity. • Ensuring proper risk controls are deployed, while adhering to best practices. • Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. • Providing fraud requirements, testing, and development of strategies for new project and endeavors • Lead the team to Develop, implement, and continuously improve fraud detection algorithms and systems. Perform regular audits and analysis of transaction data to detect new fraud trends. • Guiding team to Develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats. • Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. • Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies. • Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools. • Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies. • Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies. • Identify process improvements and efficiencies via data analysis. • Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis. • Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications: • 3+ years of experience in advanced to expert level in SQL and SAS • Minimum 7 years of work experience in large financial institution with specialization in data analytics • Minimum 5 years of experience in managing teams. Desired Qualifications: • The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful. • Experience in Statistical model utilization • 3+ years of decision tree development • Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay) • Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development. • Ability to work in a fast-paced, dynamic environment is critical. • Must have exceptional organizational, project management and communications skill. • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results. • Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds. • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes. • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.) • Proven strong analytical and communication skills. • Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. • Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business. Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data Mining</li> <li>Fraud Management</li> <li>Business Process Analysis</li> <li>Critical Thinking</li> <li>Influence</li> <li>Relationship Building</li> <li>Strategy Planning and Development</li> <li>Business Case Analysis</li> <li>Issue Management</li> <li>Leadership Development</li> <li>Process Performance Measurement</li> <li>Recruiting</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Fraud Analytics and Innovation Senior Leader - Client Protection

Job TitleSpatial Data ManagerJob Description SummaryThe role of the Spatial Data Manager (SDM) will be responsible for day-to-day functionality of the client’s Space Management tool including data integrity of CAD floor plans, occupant data and reporting (regular or ad hoc) for a client portfolio or set of buildings.Job DescriptionPrinciple Responsibilities• Contribute subject matter expertise in the areas of spatial data management, CAD / CAFM administration, space and occupancy data analytics and space utilization measurement.• Ensure compliance of client space data standards, establish a consistent data governance model.• Provide vital linkage between space management platform and industry best practices; introduce innovation to the account team/client.• Hold expertise in CAD/CAFM and the methodologies and calculations used to generate and analyze allocation deliverables.• Provide support as necessary to peer teams as it relates to space, occupancy and / or utilization data.• Contribute to data governance process - control of input sources and data consistency• Contribute to data confidence - control of data measurement standards and KPI’s• Establish core program standards for global space naming conventions, allocation model application, drawing standards and reporting standards• Establish working relationships and guides the development of roles and responsibilities with partners• Establish governance program/process and data quality assurance reporting for global consistency of portfolio space and occupancy data• Proactively monitor the execution of the client space allocation model and delivery of reporting in accordance with client space allocation process• Serves as SPOC and global system administrator for client space data management system, enforcing user controls and system continuity• Enable all system integration efforts with the CAFM system to further enhance the availability and quality of spatial and occupancy data• Recommend process improvements and performance enhancements in the use of the client space data management system• Provides space data management system training for system users• Responsible for guiding and reviewing recommendations to enhance operational efficiency, service delivery, cost savings, and innovative service advancements for all functional areas• Coach the space team leadership in effective space planning and FF&amp;E solution development, ensuring compliance with established process workflows and consistent service delivery for all project typesRequirements• BA/BS degree or equivalent combination of education, training and experience in Architectural Technology, Space Planning, Space Data Management, Data Analytics or Occupancy Planning• 4 to 8 years experience in a corporate real estate environment• Proficient in MS Office Suite software applications• Proficient with AutoCAD• Experience with CAFM systems preferred• Experience with Serraview preferred• Demonstrates proficiency in architectural and engineering drawings, concepts &amp; design• Excellent customer service and interpersonal relationship skills• Ability to work independently and as part of a team• Able to build strong relationships with internal and external partners to deliver effective services• Strong oral, written and presentation skills• Assumes ownership of requests in order to ensure successful completion• Strong attention to detail and quality with ability to handle concurrent projects with minimal supervision and direction#LI-Remote#Remote Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $81,600.00 - $96,000.00Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email <a href="#">HRServices@cushwake.com</a>. Please refer to the job title and job location when you contact us.INCO: “Cushman &amp; Wakefield”

Cushman & Wakefield

Spatial Data Manager

The Manager of Marketing Analytics will lead the measurement and analysis of our marketing performance across paid, owned, and web/app channels, with an emphasis on using our Salesforce marketing technology stack. Must have a background and hands-on experience developing dashboards, reports, and analyses, connect data across multiple sources, and lead testing and learning plans. Design the strategy of how we measure return on marketing efforts ensuring donors and prospects are informed and driven to action. You will shape how we maximize our marketing investment together with Strategy + Pricing, Finance, and Information + Technology (I+T). You will connect data across multiple platforms, including cloud-based data warehouses, using statistical modeling and analysis to extract relevant insights, implementing data tagging strategies, and ensuring adherence to data privacy regulations. You will increase the vision for measuring marketing ROI and maximizing our investments to achieve acquisition, engagement, and efficiency goals. and external partners.JOB DETAILS:<ul> <li> Reports To: Director of Digital Experience</li> <li> Location: Boca Raton, FL</li> <li> Direct Reports: No direct reports but will lead cross-function initiatives</li> <li> Travel: Required varies but can be up to 20%</li> </ul>RESPONSIBILITIES<ul> <li> Marketing Measurement Strategy - Define a comprehensive marketing measurement strategy, establishing clear KPIs across all channels (paid, owned, web/app) that directly align our goals</li> <li> Dashboard Development and Communication Communication – Create dashboards tools to visualize main metrics and performance indicators</li> <li> Data Integration and Analysis - Lead the integration and synthesis of data from diverse marketing platforms (e.g., advertising, social, email), web analytics tools (e.g., Google Analytics, SFMC), and business intelligence systems (Salesforce)</li> <li> Testing and Learning – Lead projects to evaluate the impact of marketing strategies. Partner with teams and agencies to develop and contribute to their learning needs</li> <li> Attribution Modeling - Collaborate on the implementation of attribution models to understand the impact of different marketing touchpoints on conversions and customer journeys</li> <li> Collaborate with Cross-Functional Teams - Partner with marketing managers, content creators, web developers to understand their data needs and provide analytical support.</li> </ul>JOB SPECIFICATIONSEducation and Experience<ul> <li>Bachelor's Degree in business administration, marketing or equivalent combination of education - MBA preferred</li> <li>5 plus years of progressively responsible experience leading analytics functions required; multi-location B2C environment experience</li> <li>Experience with cloud-based data warehouses (e.g., Snowflake, BigQuery)</li> <li>Understanding of data privacy regulations (e.g., GDPR, CCPA)</li> </ul>#LI-Onsite<h2>Our Benefits</h2>CSL offers the following benefits for this full-time position: Options for health care benefits, including choices of plans for medical, dental, and vision, prescription drug coverage; Company-provided basic life insurance and Short- and Long-Term Disability; the option to participate in CSL’s 401(k) Savings Program; Paid Time Off (PTO) for use in connection with vacations, illness, and other personal business; and paid observed holidays as designated by the Company. For more information on CSL Plasma benefits visit <a href="https://cslbenefits.com/cslp" target="_blank">https://cslbenefits.com/cslp</a>.<h2>About CSL Plasma</h2>CSL Plasma is one of the world's largest collectors of human plasma. Our work helps to ensure that people with rare and serious diseases are able to live normal, healthy lives. We are committed to our work because lives depend on us. Learn more about <a href="https://www.cslplasma.com/about-csl-plasma" target="_blank">CSL Plasma</a>.<h2>We want CSL to reflect the world around us</h2>As a global organization with employees in 35+ countries, CSL embraces inclusion and belonging. Learn more about <a href="https://www.csl.com/careers/inclusion-and-belonging" target="_blank">Inclusion &amp; Belonging</a> at CSL.<h2>Do work that matters at CSL Plasma!</h2>

CSL Behring

Manager, Marketing Analytics

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryWe are seeking a highly analytical and detail-oriented Data Analyst to join our Special Investigation Unit within a leading health insurance organization. This role is ideal for a data professional with strong skills in SQL and Python who can transform complex healthcare data into actionable insights to support fraud, waste, and abuse (FWA) detection and Medicaid regulatory &amp; compliance reporting. This is an individual contributor role. Job responsibilities include:<ul> <li>Write robust, efficient code in SQL and Python to extract, manipulate, and analyze large healthcare datasets.</li> <li>Design, develop, and maintain complex data analyses to support investigations of potential fraud, waste, and abuse in Medicaid claims and provider activity.</li> <li>Prepare timely and accurate Medicaid regulatory &amp; compliance reports in accordance with prescribed guidelines and standards.</li> <li>Communicate messages based on data analyses, including preparing easy-to-understand visualizations and other related documents for diverse audiences </li> <li>Collaborate with SIU investigators, Program Integrity Manager, and Compliance to understand business processes and translate them into actionable data requirements.</li> <li>Develop and participate in presentation and consultation with business partners on data, capabilities and performance results</li> <li>Identify data quality issues, perform root cause analysis, and recommend improvements to enhance reporting accuracy and data integrity.</li> <li>Document data logic and methodology used in analyses and ensure reproducibility and transparency of results.</li> <li>Stay informed about changes in Medicaid policy, regulatory requirements, and FWA detection techniques to ensure ongoing compliance.</li> </ul>This is a work-from-home position in the US. supporting standard east coast business hours. Required Qualifications<ul> <li>3+ years of experience in data analytics or data science, preferably in healthcare, health insurance, or Medicaid programs</li> <li>Ability to distill complex data into meaningful insights and present findings to non-technical audiences.</li> <li>Solid understanding and experience interpreting medical claim data</li> <li>Advanced experience in SQL coding sourcing from a data warehouse</li> <li>3+ years of data interpretation and analysis experience</li> <li>3+ years of project leadership experience</li> <li>Strong business as well as systems knowledge</li> <li>Excellent problem-solving, critical thinking, and written communication skills</li> <li>Advanced experience in Excel </li> </ul> Preferred Qualifications<ul> <li>Experience in healthcare fraud, waste and abuse </li> <li>Proficiency in Python coding</li> <li>Knowledge of Medicaid healthcare claims adjudication (QNXT) &amp; regulatory reporting</li> <li>Experience with data visualization tools (e.g., Tableau, Power BI</li> <li>Familiarity with Big Query &amp; Jupyter Notebook</li> </ul> Education<ul><li>Bachelor’s degree or equivalent experience</li></ul>Anticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$54,300.00 - $145,860.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/30/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Manager, SIU Data Analysis (SQL/Python)

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We are looking for a highly experienced Staff Engineer with deep expertise in the software industry with emphasis on application development using Gen AI and Machine Learning. In this role, you will drive the architectural vision for our AI enterprise platform, ensuring we build scalable, reliable, and high-performance systems leveraging LLMs, Machine learning and agentic AI framework. You’ll partner with leadership, product, and engineering teams to shape the technical roadmap, mentor engineers, and solve complex problems that scale our AI systems to support rapid growth. As a Staff Engineer, you will set technical direction, lead critical initiatives, and be a key decision-maker on AI strategies, ensuring our platform stays at the forefront of innovation and security. <h3>Essential Job Duties and Responsibilities</h3> <ul> <li>Lead the design and development of large-scale, mission-critical AI enterprise agentic platform that integrates with other Goodleap systems and services.</li> <li>Architect highly scalable, resilient, and secure systems that can handle large volumes and traffic.</li> <li>Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.</li> <li>Collaborate with product and engineering leaders to align technical solutions with business objectives.</li> <li>Drive cross-functional projects to enhance the integration, reliability and performance of our AI enterprise platform.</li> <li>Ensure compliance with industry regulations, including legal standards.</li> <li>Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence.</li> <li>Evaluate and implement new emerging technologies and tools to continuously improve our systems and development processes.</li> <li>Contribute to key architectural decisions, including the design of microservices and the adoption of new AI technologies including LLMs, Voice, Image etc.</li> </ul><h3>Required Skills, Knowledge, and Abilities</h3> <ul> <li>8+ years of experience in software engineering, with a strong background in building enterprise platforms at scale with expertise in AI/ML.</li> <li>Experience in designing and deploying real-time LLM systems at scale.</li> <li>Experience in evaluating, monitoring, and iterating on LLM solutions.</li> <li>Experience in ML packages and tools, Tensorflow / PyTorch, Sagemaker, MLFlow, OpenAI API</li> <li>Expertise in Node, TypeScript, and Python. Knowledge of .NET is good to have</li> <li>Strong expertise in designing systems for high availability, fault tolerance, and scalability.</li> <li>Experience in cloud infrastructure (AWS) with a focus on performance, security, and monitoring.</li> <li>Expertise in distributed systems architecture, microservices, and RESTful APIs.</li> <li>Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams.</li> <li>Strong leadership skills, with a proven ability to mentor and lead engineering teams.</li> <li>Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment.</li> Bonus Points (optional section) <li>Experience with integration of AI/ML solutions with Salesforce &amp; Genesys</li> <li>Experience in building multi-agent solutions and reinforcement learning</li> <li>Experience in FinTech or other highly regulated industries.</li> <li>Strong track record of managing complex technical debt and driving long-term architectural strategy.</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

9 Data Science Jobs in Baltimore, MD, USA