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Job Title-: Data Scientist Duration: 6-month contract with potential for full-time conversion Location-: Newark, NJ (Hybrid) Department: Data Science Team – Long-Term Care (Fraud, Waste, and Abuse Detection) Description-: The team is seeking a Data Scientist with strong MLOps and full-stack data experience, capable of both developing models and supporting production deployment within an AWS environment. Key Focus Areas: • Fraud, Waste, and Abuse (FWA) detection in long-term care, • Strong understanding of business processes and ability to translate data insights into business logic, • Emphasis on candidates who can learn and adapt to new business contexts Technical Requirements Core Skills: • Programming: Python (required), • MLOps / Full-Stack Data Science:, • Experience in deploying machine learning models to production, • Proficiency in containerization (Docker, etc.), • Working knowledge of AWS (specifically SageMaker, pipelines, access management), • Understanding of machine learning pipeline orchestration Preferred Tools/Platforms: • AWS ecosystem (SageMaker, Bedrock, etc.), • Exposure to LLMs (Large Language Models) or generative AI is a plus Nice-to-Have: • Background or understanding of insurance or healthcare data, • Hands-on experience with fraud detection systems Experience & Education • Education:, • Bachelor’s degree acceptable with strong professional experience, • Master’s or PhD preferred but not a hard requirement, • Experience Level:, • Approx. 6 years of relevant data science experience Day-to-Day Responsibilities • Focus primarily on model development (core function), • Collaborate closely with machine learning engineers for production deployment, • Engage in end-to-end data science processes:, • Data exploration and modeling, • Model validation and tuning, • Assisting with model deployment and monitoring, • Work closely with business stakeholders to understand fraud patterns and operational nuances Team Structure • Reports to Hiring Manager, • Collaborates with:, • Senior Data Scientists (peer mentors and project leads), • Machine Learning Engineers (for deployment/product ionization), • Business partners (for domain understanding and data interpretation) Key Insights • Preference for candidates who are strong in MLOps even if slightly less advanced in pure data science theory., • The ability to grasp new business models quickly is critical, especially for FWA detection., • Ideal candidate demonstrates hands-on experience with both model building and AWS-based deployment., • Someone with experience using large language models or recent GenAI technologies would stand out., • Environment/Tools: AWS (SageMaker, Bedrock, etc.), • Programming Languages: Python required

Job Title: Data Scientist - GenAI Location: NJ Work Experience: 10+ Years Location: Jersey City,NJ On-site requirement: 4 days per week at Jersey City office Job Summary: We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands-on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar. Key Responsibilities: • Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval., • Fine-tune or adapt foundation models using domain-specific data., • Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB)., • Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs., • Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks., • Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost., • Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture. Required Skills: • 10+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects., • Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow., • Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models., • Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques., • Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask)., • Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices., • Excellent communication skills with the ability to translate technical solutions into business impact. Preferred Qualifications: • Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning., • Knowledge of data privacy and security considerations in GenAI applications., • Familiarity with enterprise architecture, SDLC, or building GenAI use cases in regulated domains (e.g., finance, insurance, healthcare). Base Compensation Range: 130,000-140,000 For more information on benefits and what we offer please visit us at _

Absci is looking for a Senior/Staff AI Scientist to advance and deploy protein design models for antibody drug design. Maintain our own Wet Lab, enabling AI Scientists to validate novel modeling methods via rapid design >. Developed and are growing our own pipeline of clinical-stage assets, enabling

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In this role, you will apply your broad expertise across specialized disciplines in AI Drug Discovery. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, drug discovery, natural language processing, computer vision, and molecular dynamics t

Mentor other data scientists and analysts, and contribute to technical standards, data governance, and MLOps best practices.

The Chief Cost Data Scientist is the contractor senior technical authority for the entire effort: enterprise architect for the customer cloud cost data environment, technical lead for quality and consistency across every task and deliverable, and primary strategic advisor to the customer technical d

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Senior Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities • Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve., • Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever., • Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure., • Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity., • Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform., • Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: • Experienced product manager with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking., • Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring)., • Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities., • Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps., • Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: • Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management., • Understanding of the Ad Tech ecosystem (bidding, ranking, targeting)., • Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago), • Competitive salary and equity options, • Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc), • Generous 401k matching, • Flexible vacation policy, • Paid parental leave (4+ months), • Family planning support, • Paid volunteer time off #LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

The projects that a Senior Environmental Scientist works on will include low to high complexity, multi-media, multi-contaminant remediations. The Senior Environmental Scientist is responsible for planning and implementing field activities, evaluating laboratory data and measurements collected during

Eli Lilly and Company, is looking to bring on board a Clinical Scientist/Senior (Contract).

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.

Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Analyst/Scientist to become a key technical contributor on our Complex Algorithm Team. Ranges are based on various factors including the labor market, job type, job level, internal equity and budge

An MS, PhD, or equivalent practical experience in Computer Science, Electrical Engineering, Machine Learning, Biomedical Engineering, or a related quantitative field.

Join our dynamic Audit Analytics team, where you'll leverage advanced data science and analytics to shape the future of audit.You'll collaborate with talented colleagues and stakeholders, using innovative tools and techniques to deliver impactful solutions that enhance risk management and business v

Data Scientist Senior Associate. Join a fast-moving technology team building a business observability platform for the Payments business - an analytics foundation that enables AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams.

As a Senior Associate, Data Scientist in People Analytics, you will help measure and improve developer productivity and technology efficiency across major engineering initiatives. Experience mentoring junior data scientists or contributing to a collaborative, knowledge-sharing culture.

Job DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionSR AUDIT MANAGER- WEALTH MANAGEMENT WHAT IS THE OPPORTUNITY? The Wealth Management Senior Audit Manager position, reporting to the Audit Director of Wealth Management, is a leadership role as an auditor-in-charge for managing complex Wealth Management audits and assist the Audit Director in supervising a team of auditors to assess risks and internal control environment of the bank's Wealth Management businesses. This individual will develop and execute detailed audit programs to evaluate the adequacy of the operational processes to meet bank policies and procedures and regulatory requirements, identify data analytic opportunities, analyze results of testing performed, and effectively communicate audit results to the Audit Director, senior management and applicable Board/Committees in a form of meetings, presentation, and written reports and memorandums. Additionally, the position is responsible for the maintenance and execution of the Wealth Management continuous monitoring program in accordance with audit methodology and based on industry/institutional knowledge, emerging risks, and regulatory changes and expectations. Key areas of focus and involvement include: • Personal and Employee Benefit Trust Administration, • Retirement and Custody Services, • Specialty Wealth Assets, • Investment Advisory, • Broker/Dealer, • Investment Banking activities for CNB's Capital Markets, • Registered and Unregistered Fund Vehicles, • Support Functions (Operations, Compliance, Risk)Thrives in a dynamic team-based environment, effectively manages ambiguity, works independently, innovative thinking with data analytics, robotic process automation and artificial intelligence, and demonstrates critical problem-solving leadership. WHAT WILL YOU DO? Leadership & People Management: • Leads/coaches a team of internal audit professionals at the individual audit level, • Implements the outcomes from the audit transformation program by leading the individual audit team members through the process changes., • Manages resource planning to ensure that there are sufficient engagement resources to meet plan for the individual audit., • Takes personal responsibility for a complete, multi-stage project (audit), • Participates in social, charitable or inclusive committees within Internal Audit, CNB or RBC. Audit and Assurance: • Plans, executes and leads complex projects using a risk based, cost effective and efficient process but is comfortable and eager to incorporate dynamic and transformative practices to deliver valuable assurance, advice and insights to management while proactively adding value to CNB., • Manages staff assigned to the engagement and reviews audit work for sufficient scope, testing, and for accuracy., • Quickly assesses all applicable risks (credit, liquidity, interest rate, price, operational compliance, strategic and reputation) and mitigating controls, designs comprehensive audit programs, executes audit procedures, supervises and reviews the work of others, analyzes and synthesizes results of testing, effectively communicates results to senior management to affect change, and delivers well written audit reports in a timely fashion., • Utilizes analytical, auditing and advanced excel/automation skills to complete assigned responsibilities., • Collaborates with other audit groups to effectively plan, integrate and execute audits., • Understands IT and fraud risks in order to identify key risks and controls in the business process or activity being audited., • Assess information security and privacy policies and procedures to identify weaknesses within the business process or activity being audited., • Leads and performs continuous monitoring activities periodically. Gathers and evaluates information received from business units and other external/regulatory sources., • Follow-up on audit issues to ensure completion of management action plans., • Ability to manage multiple audit assignments and work in a dynamically changing environment with minimal supervision., • Complies fully with all Bank policies, procedures, audit methodologies, training and regulatory requirements., • Tracks and manages audit resources to consistently meet the audit budget and audit plan mandates., • Takes responsibility to eagerly develop own personal and professional leadership skills and learning capabilities. Product/Business/Technology Knowledge • Consistently keeps informed of new services, products, industry and regulatory developments and risk events that have a significant technology and business impact., • Possesses working knowledge of the Investment Advisers Act of 1940, the Investment Company Act of 1940, Reg 9, ERISA, Securities Acts of 1933 and 1934 inclusive of exemptions under the Acts, FINRA requirements, MSRB Rules and the Dodd Frank Act especially the Volcker Rule is desired but not required if candidate can demonstrate the ability to quickly synthesize regulations or has an eagerness to learn., • Possesses knowledge of capital markets products, • Develops a general knowledge of the business operations, regulatory and accounting and control environment in which City National Bank operates, particularly in areas where audit responsibilities are assigned., • Discovers patterns, insights, trends and anomalies from straightforward analyses, data sets and visualization tools., • Executes basic analyses (e.g. descriptive) and creates simple visualization using standard tools., • Develops requests for advanced analytics by providing detailed explanations and responds to questions posed by the Data Analytics Lead or Data Scientist. Relationship Building and Client Experience: • Continuously builds trusting relationships with Internal Audit peers and business management., • Acts as the key contact and responds to inquiries from business throughout the audit process., • Leverages stakeholder relationships to advance business and project objectives., • Prepares solutions to address potential roadblocks raised by others in response to recommendations., • Creates an open and constructive environment for negotiation and assures all parties that a fair solution will be attained., • Initiates discussions between parties to explore differences and help find common grounds Staff Performance and Mentoring • Acts as a role model/mentor to lower level audit professionals, • Enhances and maintains staff morale, • Challenges others’ thinking or approaches in a constructive manner., • Provides on-the-job training of staff auditors, and prepares and conducts formal/informal training for less experienced staff members., • Participate in interviews and evaluations of new applicants. WHAT DO YOU NEED TO SUCCEED? Required Qualifications* • Bachelor's Degree or equivalent, • Minimum 7+ years of audit experience in an internal audit role within the banking or financial services industry, or with a public accounting firm., • Minimum 3 years' experience managing direct reports and demonstrated ability to develop people, • Certified Trust Compliance Professional (CTCP) Or, • Certified Fiduciary & Investment Risk Specialist (CFIRS) Or, • Certified Public Accountant (CPA) Or, • Certified Internal Auditor (CIA) Or, • Certified Information Systems Auditor (CISA) Or, • Chartered Financial Analyst (CFA) Or, • Certified Anti-Money Laundering Specialist (CAMS) Or Additional Qualifications, • Strong verbal and written communication skills, to effectively present to peers and business management., • Ability to exhibit integrity and trust, and leadership skills needed to convey ideas and obtain management buy-in for constructive change., • Strong understanding of internal auditing standards, COSO and risk assessment practices., • Strong understanding of internal control concepts and experience in applying them to plan, perform, and report on the evaluation of various business processes/areas/functions., • Strong working knowledge of banking industry laws and regulations, and understanding of the principles of Operational Risk, Market Risk, Credit Risk, and Liquidity & Funding Risk., • Ability to work independently and with varying team members, and multitask by prioritizing critical activities., • Experience in planning integrated business audits with technology auditors., • Ability to apply agile methodology and best practices to audit engagements., • Experience in coaching and/or mentoring others., • Experience in use of data visualization and reporting – e.g. Tableau, Alteryx, • Experience in recommending/implementing innovative solutions to improve processes. WHAT'S IN IT FOR YOU?Compensation Starting base salary: $99,000 - $176,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including: • Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date, • Generous 401(k) company matching contribution, • Career Development through Tuition Reimbursement and other internal upskilling and training resources, • Valued Time Away benefits including vacation, sick and volunteer time, • Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs, • Career Mobility support from a dedicated recruitment team, • Colleague Resource Groups to support networking and community engagement Get a more detailed look at our Benefits and Perks. ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America’s leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us. INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job. #Li-KTB #Ca-KTB

Principal Scientist), Regulatory Affairs Liaison. Principal Scientist), Regulatory Affairs Liaison reports to the Executive Director or Associate Vice President, General Medicine and is responsible for development and implementation of worldwide regulatory strategies for their assigned projects in t

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Senior Associate, Data Scientist in People AnalyticsBuild a career where your analyses directly improve how software gets delivered at scale. As a Senior Associate, Data Scientist in People Analytics, you will help measure and improve developer productivity and technology efficiency across major eng

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Data Scientist Senior AssociateJoin a fast-moving technology team building a business observability platform for the Payments business—an analytics foundation that enables AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. As a Data Scientist

Internal Audit, Asset Wealth Management - Senior Associate - Data ScientistJersey City, United StatesUp to $170,000/ yearRisk Analyst Data Quality Engineer Data Scientist Compliance Analyst Information Security Leader Internal Auditor Business Analyst Financial Systems Analyst Data Analyst Data Engi

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We're looking for a Senior Scientist to help make this vision real. You'll work to augment the capabilities of our current laboratory systems, creating custom solutions that unlock new potential for our scientists. You'll collaborate with a diverse network of scientists, engineers, and digital exper

Morgan to connect them with exceptional professionals for this role.JOB DESCRIPTION Join our Audit Data Strategy Team as a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights.This role offers career growth and the chance t

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Genesis10 is currently seeking a Senior Business Analyst - Hybrid position with a Global Financial Institution located in Jersey City, NJ.

Job Overview: The organization is seeking an experienced Business Analyst with expertise in Global Systems Automation (GSA), Robotic Process Automation (RPA), Process Client, and Process Improvement.The candidate will be responsible for identifying automation opportunities, gathering requirements, a

This role offers hands-on experience, exposure to executive leadership, and opportunities for professional growth in strategy, operations, and business development.Diamond Communications is seeking a motivated Business Analyst to join our Strategic Partnerships Group.This is an excellent opportunity

Please review the opportunity below and send me your updated resume if you are interested.Product Manager / Business Analyst (Core Banking / Payments / Digital Transformation ).Business Analyst, Product Manager, or Product Owner.Hands-on experience with Thought Machine (Vault Platform).Core Banking

Technical Business Analyst – Equity Plan Administration.Hybrid — This position requires working onsite in Weehawken, NJ 3 days per week, with the remaining work performed remotely.Eligible W-2 employees will receive benefits and statutory benefits required under applicable federal and New Jersey

The Business Intelligence Analyst supports the analysis of operational workflows and lifetime profitability to measure operational and marketing channel effectiveness, and ensure adequate profitability for the business being written by the Direct Group.The person is responsible for assisting in the

Role: Business Data Analyst with Property & Casualty (P&C) Insurance Claims domain.Location: Jersey City, NJ (hybrid - 3 days on-site and 2 days’ work from home).We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to s

The Senior Data Analyst position will be responsible for the management, design, testing and implementation of Data Warehouse projects for Policy, Claims, Quotes, Billing, Agency, ancillary components and Data Mart insurance application data.

Healthcare experience is a must.Provider Systems, Claims, Healthcare Data, Governance in Healthcare, would be a big plus.MUST: Candidate needs to be able to generate BRD, TRD and thru testing and deployment.Will likely involve need to do front end prototyping (Visio or more sophisticated tools).Dril