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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

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 a diverse and 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! Global Markets Data Incident Management Team The GMDM Team is responsible for establishing and executing data management strategy and data governance for GM. The team works closely with other groups within GM, other lines of business and Enterprise functions. The team drives strategic initiatives and projects in the areas of data management and governance. The GM Data Incident Management team within GMDM is accountable for remediation of data incidents concerning consumption of GM Data. The team triages, prioritizes and remediates GM data incidents, working closely with other groups within GM and other lines of business, including Technology, support partners (in particular Market Risk and Counterparty Credit Risk) and Enterprise functions at all levels. The ideal candidate will have expert knowledge of GM products, data structures, processes, strong project management skills, and experience in running data management projects, and understanding Bank of America’s policies, standards, and procedures. Role Responsibilities: <ul> <li>Manage data incident triage with key stakeholders.</li> <li>Act as a liaison between technical and non-technical stakeholders, translating complex data concepts into actionable insights.</li> <li>Provide SME knowledge and interface with various technology, quantitative, and business groups, representing providers and consumers of GM’s data.</li> <li>Deliver insights from large datasets, design data solutions, and communicate solutions to stakeholders.</li> <li>Strong ability to conceptualize business requirements as functions and data models.</li> </ul> Required Skills: <ul> <li>Bachelor's degree or equivalent work experience.</li> <li>High intensity and initiative – thrives in a fast-paced, high-stakes environment.</li> <li>Curious and analytical mindset – proactive in exploring new ways to improve and optimize data processes.</li> <li>Strong analytical and relentless problem-solving skills, critical thinking.</li> <li>In depth knowledge of one or more areas within GM or related functions.</li> <li>Knowledge of financial markets, traded products, trade life cycle management and market conventions.</li> <li>Ability to facilitate discussions across various levels of stakeholders.</li> <li>Ability to multitask and properly prioritize multiple projects.</li> <li>Good communication, interpersonal, and organizational skills.</li> <li>Proficiency in Python (Pandas, NumPy) for data processing and automation.</li> <li>Strong SQL skills, with experience in relational databases (PostgreSQL, SQL Server, Oracle) and NoSQL databases.</li> </ul> Desired Skills: <ul> <li>Knowledge of the various functions within GM trading organization and other functions interacting with GM, such as Operations, Market Risk, Counterparty Credit Risk Finance.</li> <li>Knowledge of General Ledger and Chart of Accounts.</li> <li>Knowledge / understanding of trading agreements.</li> <li>Knowledge of big data frameworks (Hadoop, Spark, Kafka).</li> <li>Understanding of API integrations, data lakes, and real-time data streaming architectures.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Global Markets Data Management- Vice President/Director

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 Description: This job is responsible for moderately complex transaction and fulfillment processing, including the movement of assets into and out of accounts. Key responsibilities include reconciliation, settlement, and trade and transfer support, and providing quality service and operations support for internal business partners and external clients, in accordance with established guidelines and procedures. Job expectations include handling in operational processes which may carry medium to high levels of monetary risk and assisting in training less experienced team members. Responsibilities: <ul> <li>Performs moderately complex transaction processing and reconciliation with medium to large monetary impact according to the established written guidelines and procedures</li> <li>Responds to moderately complex client inquiries via numerous channels to support operational efficiency and quality client service</li> <li>Responsible for the analysis and resolution of moderately complex transactions requiring escalations and exceptions</li> <li>Proactively identifies risk and opportunities for process improvements based on an understanding of how the work impacts other operational units</li> </ul> Line of Business Job Description: Perform Bookkeeping for Merrill Clients team supports the validation of financial transactions for Merrill brokerage accounts. <ul> <li>​​​​​Gains a full understanding of each request with careful reading, research and application of product knowledge</li> <li>Selects and executes moderately complex transaction processing and reconciliation with medium to large monetary impact according to established guidelines and procedures and within applicable systems</li> <li>Communicates effectively and efficiently with the requestor via email to resolve any issues preventing the completion of the request</li> <li>Documents all actions taken in the applicable system accurately and in a business writing style</li> <li>Meets or exceeds productivity and quality goals</li> <li>Adapts to ever changing products and services</li> <li>Complies with all Bank of America policies</li> </ul> Required Skills: <ul> <li>Account Management: ability to provide services and support to clients</li> <li>Numerical Reasoning: ability to recognize when a mathematical result is incorrect especially when adding, subtracting, multiplying, dividing and applying percentages</li> <li>Recording/Organizing Information: ability to accurately capture, summarize, and organize relevant information (such as client/employee forms) using computer applications</li> <li>Attention to Detail: ability to achieve thoroughness and accuracy when accomplishing a task and process detailed information effectively and consistently</li> <li>Relationship Building: The ability to develop, establish, and maintain ethical connections and long-term relationships with individuals necessary to complete processes and deliver the desired client experience</li> <li>Research: ability to gather information from a system, review, analyze and interpret the results to support a recommendation or solution for a client request</li> <li>Written Communications: ability to clearly convey information in written form through email in a way that easily enables the resolution of request</li> <li>Adaptability: ability to change behavior in response to or in anticipation of changes in the work environment</li> </ul> Skills: <ul> <li>Attention to Detail</li> <li>Customer and Client Focus</li> <li>Oral Communications</li> <li>Prioritization</li> <li>Problem Solving</li> <li>Account Management</li> <li>Analytical Thinking</li> <li>Coaching</li> <li>Written Communications</li> <li>Mentoring</li> <li>Research</li> <li>Result Orientation</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Transaction Management Ops Analyst - BPRO ML Bookkeeping

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 This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: <ul> <li>Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights</li> <li>Applies agile practices for project management, solution development, deployment, and maintenance</li> <li>Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production</li> <li>Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment</li> <li>Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables</li> <li>Supports the identification of potential issues and development of controls</li> <li>Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics</li> <li>Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology</li> <li>Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks</li> <li>Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts</li> <li>Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business</li> <li>Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance</li> <li>Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics</li> <li>Identifies business trends based on economic and portfolio conditions and communicates findings to senior management</li> <li>Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights</li> <li>Link Analysis/Graph analytics to find and mitigate densely connected fraud networks</li> <li>Developing and tuning graph algorithms to maximize detection of fraud</li> <li>Assist with the generation, prioritization, and investigation of fraud rings </li> </ul> Required Qualifications • Minimum of 4 years of experience in data and analytics • Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages • Must be proficient with SQL and one of SAS, Python, or Java • Critical problem-solving skills including selection of data and deployment of solutions • Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team • Excellent communication and influencing skills • Thrives in fast-paced and highly dynamic environment • Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions • Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) • Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications • Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) • 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas • Deep understanding of graph databases, graph algorithms, and experience developing graph schemas • Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques • Proficient with H2O or similar advanced analytical tools • Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects • Experience influencing mid to senior (executive) level leaders • Experience managing risk and issue remediation • Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Data Scientist  II  - Graph Data Platform - Client Protection

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 a diverse and 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. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for a Data Scientist that is a self-starter who can translate complex concepts and generate actionable insights. Who we are: Using cutting edge Generative AI and Machine Learning techniques, the GPS Data and AI team drives and powers innovation within one of the largest payment businesses in the world. We are the engine that fuels our business partners and clients across the organization globally, building revolutionary end-to-end production level solutions at scale. At our core, we are a team that is a collection of individuals who welcome challenging problems, because that is where the learning begins – and we are at the front line of the long-term transformation of how AI is applied at one of the largest banking institutions in the world. For many of our projects, we begin by hosting “think tank” sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data, AI and Generative AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. What we’re building: The data science team (within GPS) is working on multiple projects that are driving/will drive significant impact across the GPS business. Some examples include: • A Generative AI powered search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions that will ultimately unite all of our structured and unstructured data • A comprehensive machine learning model that helps to move foreign currency conversion “up the payment stream” • A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients • Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients Who we’re looking for: If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties. Responsibilities: <ul> <li>Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions</li> <li>Impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS</li> <li>Responsible for the success and improvement of the applications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"</li> <li>Work closely with other Data Scientists to set technical strategy and prioritize development work</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree in a quantitative field such as: computer science, math, and physics</li> <li>Minimum of 3 to 5 years of hands-on data science experience working in a highly technical environment</li> <li>Extensive experience with Natural Language Processing techniques and Generative AI frameworks such as RAG, text embedding, finetuning, etc.</li> <li>Strong understanding of data structures and algorithms with substantial Python experience</li> <li>Understanding of how to frame a data science problem and a deep understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)</li> <li>Critical thinking skills; able to take feedback and transform it into strategic action</li> <li>Strong verbal, communication, technical design, and documentation skills</li> </ul> Desired Qualifications: <ul> <li>Graduate level degree in a quantitative field such as, computer science, math, and physics or equivalent work experience</li> <li>Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib</li> </ul> Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Data Scientist

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Detailed Job Description Bank of America’s Global Risk Management business is looking for a Quantitative Financial Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc. </li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> <li> Ability to analyze and find interesting patterns in data with at least one of the following:<ul> <li>Experience in implementing distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc. </li> <li>Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> </ul> </li> <li>Experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences.</li> <li>Ability to effectively present findings, data, and conclusions to senior leaders.</li> <li>Ability to operate independently with minimal supervision to deliver sub tasks as well as ability to participate in group settings.</li> </ul> Preferred skills: <ul> <li>Experience in machine learning / AI models</li> <li>Experience with large scale financial data sets</li> <li>Experience to code independently with minimal oversight in at least one programming language like Python or Java.</li> </ul> Minimum Education Requirement: Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines. Shift:1st shift (United States of America) Hours Per Week: 40

Quantitative Finance Analyst - Markets Behavior Analytics Group

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! The Risk Process Analyst is responsible for supporting the development and execution of capabilities that include models, analytical tools, and tests used for risk management. Key responsibilities include obtaining an understanding of Bank-wide processes, including their risks, underlying data, and process steps, and using that knowledge to build capabilities for the Front Line Units/Control Functions to better manage their risk and operational effectiveness. This role supports other risk analysts and managers to complete a set of task aligned to risk and data management. Job Description Summary Bank of America’s Global Risk Management business is looking for a Risk Process Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc.</li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>Ability to analyze and find interesting patterns in data with at least one of the following:</li> <li>Implement distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc.</li> <li>Build user facing UI applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> <li>Knowledge and working experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences</li> <li>Ability to effectively present findings, data, and conclusions to members of the team and management.</li> <li>Ability to operate independently with guidance to deliver sub tasks and the ability to participate in group settings.</li> <li>0-2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> </ul> Preferred skills: <ul> <li>Knowledge and experience in machine learning / AI models</li> <li>Knowledge and experience with financial data sets</li> <li>Ability to code proficiently in at least one programming language like Python or Java.</li> <li>Proficiency in SQL and in at least one NoSQL data store.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Risk Process Analyst - Market Behavior Analytics

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”

14 Data Science Jobs in New York, NY, USA