Trabajos senior data scientist en Elizabeth, New JerseyCrear alertas

Job Title: R&D Formulation Scientist \n Hourly/Salary Compensation Range: $25-32/hour \n Contract Length: 8 Months, with strong likelihoods of extension \n Location: Summit, NJ \n Hours: 8am-5pm \n Start Date: ASAP \n Interview Process: 2 rounds \n \n Client Overview: \n Our client is a global leader in consumer healthcare, delivering science-backed products that help millions of people improve their health and well-being every day. With a portfolio of trusted and recognizable brands spanning self-care, skincare, beauty, and essential health, the organization is committed to innovation, quality, and consumer trust. Operating in more than 100 countries, they combine deep scientific expertise with consumer insights to develop products that support healthier lives around the world. \n \n Job Description: \n The Formulation Scientist will support the Skin Health R&D team, contributing to both innovation and base business (commercialized products) within the skincare portfolio. This role will focus on formulation development, lab execution, and scale-up activities for consumer skincare products, including anti-aging formulations. \n The ideal candidate will work under the guidance of senior scientists while also taking ownership of experiments, technical problem-solving, and project execution. \n \n Skill Set Requirements: \n\n • Support end-to-end product development for skincare formulations, including innovation and commercialization of existing products\n, • Execute laboratory experiments, including formulation development, testing, and analysis of skincare products\n, • Assist in product design, formulation optimization, and process development/scale-up activities\n, • Conduct Design of Experiments (DOE) to support investigations and product improvements\n, • Process formulated products at lab scale and support transition to manufacturing\n, • Collaborate cross-functionally with R&D, manufacturing, and external partners to support project execution\n, • Analyze consumer insights and contribute to innovation pipeline development\n, • Maintain accurate documentation, including technical reports and experimental data\n, • Ensure compliance with company procedures, cGMP standards, and regulatory requirements\n, • Support troubleshooting efforts related to formulation, supply disruptions, or product upgrades\n\n \n Required Qualifications \n\n • Bachelor’s degree in Chemistry, Chemical Engineering, Pharmacy, or related field\n, • Strong foundation of batching experience\n, • 1–4 years of experience in formulation development (academic or industry)\n, • Experience with skincare, or cosmetic products\n, • Strong foundation in formulated systems (emulsions, surfactants, suspensions, structured liquids)\n, • Hands-on laboratory experience executing experiments and processing formulations\n, • Understanding of material chemistry and basic process equipment\n, • Experience supporting process development or scale-up activities\n, • Strong communication, documentation, and organizational skills\n, • Proficiency in MS Office (Excel, Word, PowerPoint)\n\n \n Preferred Qualifications \n\n • Experience formulating anti-aging products\n, • Familiarity with cGMP and regulatory standards\n, • Experience working with external manufacturing partners\n, • Exposure to technical project management or cross-functional collaboration\n, • Ability to work independently while contributing within a team environment\n\n

As a Senior Data Scientist on the Enterprise CX team, you are a versatile problem-solver with a solid foundation in end-to-end data science methods. The Senior Data Scientist plays a crucial role in supporting the Customer Success team through deep-dive data analysis, diagnostic investigations, targ

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

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our health sensing team. Health, dental, vision insurance, and mental health resources. We've helped millions of people understand and improve their health by providing daily insights and practical steps to

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.

Familiarity with AI-specific risks including prompt injection, data leakage through model providers, model supply chain concerns, and the security implications of agentic tools with action-taking capabilities. This is a remote position that may require occasional travel.

Deliver end-to-end analytics and data science solutions across the audit lifecycle, from problem framing and requirements through data acquisition, analysis/modeling, visualization, and deployment using tools such as SQL, Python, Alteryx, Databricks, Tableau, Agentic Studio, Smart SDK, and related p

Job Description Position Summary The System Director of Lab is responsible for all diagnostic laboratory testing and related services for inpatients, outpatients, and outreach clients across the Hudson Health System. This includes oversight of services at all system facilities. Job Duties • Develop strategic direction for laboratory services aligned with the goals of Hudson Health System., • Ensure quality, operational integrity, and cost-effectiveness of laboratory operations across all sites., • Maintain full regulatory compliance (CLIA, CAP, Joint Commission, OSHA, FDA, and state requirements)., • Enhance laboratory support for clinical programs and value-based care initiatives., • Oversee daily operations including staffing, budgeting, quality assurance, technical processes, chemical hygiene, and safety programs., • Drive innovation in test menu development and lab service delivery., • Ensure integration of laboratory systems with physician, nursing, IT, and materials management teams., • Build cross-campus operational workgroups to standardize processes and ensure continuous improvement., • Oversee vendor relations, equipment acquisition, and lab formulary development., • Monitor key performance indicators (KPIs) and lead quality improvement efforts., • Serve as a senior leader within Hudson Health System, collaborating with the CMO, COO, and other hospital executives., • Act as liaison to laboratory medical directors and pathologists., • Develop and coach laboratory leadership teams across all campuses., • Champion a culture of transparency, accountability, service excellence, and innovation., • Represent lab services in system-level strategy and planning meetings., • Performs other duties as assigned Qualifications and Skills • High integrity and professionalism, • Data-driven problem solver, • Flexible, resilient, and adaptable in all situations., • Excellent communicator and mentor Education, Experience and Certification/Licensure Requirements • Master’s degree in clinical laboratory science, Medical Technology, or related field required, PhD, DSc. (Preferred.), • Current state licensure as a Clinical Laboratory Scientist/Medical Technologist and national certification (ASCP, NCA, or AMT) (Required.), • Advanced certification in healthcare administration (e.g., MHA, MBA) (Preferred.), • Minimum 10 years of progressive leadership in hospital laboratory operations, including multi-hospital system oversight., • Demonstrated success managing budgets over $30M and leading capital planning for advanced instrumentation., • Proven track record implementing LIS integration and laboratory automation projects.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. 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 Description Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: • Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting., • Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers., • Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses., • Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client’s end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.), • Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend., • Conducts regular internal team meetings to report on client SLA’s and to ensure all client service deliverables are being met and completed. Qualifications: • Bachelor’s degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred., • Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.)., • Knowledge of FITS and MDSL inventory systems is preferred., • Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders., • An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously., • Have high energy and be a self-starter with the ability to work independently and as part of a team. Powered by JazzHR CqzWdPMF1h

Job ID: 24888306Reference Number: 25-00157Title: Senior Data ScientistLocation: Iselin, NJ, 08830Posted Date: 2025-03-03Company: HAN StaffingSenior Data Scientist

Build a career where your analyses directly improve how software gets delivered at scale. In this role, you’ll help teams understand what works, what doesn’t, and where investments meaningfully increase engineering efficiency. You’ll turn complex engineering and finance data into clear, actionable insights leaders can use. You’ll also help shape modern measurement approaches for emerging tools and ways of working.Job summaryAs a Senior Associate, Data Scientist in People Analytics, you will help measure and improve developer productivity and technology efficiency across major engineering initiatives. You’ll source, develop, and track metrics tied to software delivery performance, including continuous integration/continuous delivery (CI/CD) improvements and generative AI solutions embedded in the development workflow. You’ll build analytical models and scalable data pipelines to quantify impact and explain drivers of change. You’ll partner closely with cross-functional teams in Technology and Finance to translate complex data into decisions that improve outcomes for our teams and our customers.You’ll work with diverse data sources such as CI/CD pipeline telemetry, developer activity signals, and tool usage patterns to identify trends, quantify adoption, and highlight opportunities to streamline delivery. Your work will support enterprise-wide measurement frameworks and help establish consistent, trusted metrics that enable teams to benchmark progress over time.Job responsibilitiesCollaborate with product managers, engineers, and stakeholders to translate business objectives into measurable productivity and efficiency frameworksAnalyze large, complex data sets (e.g., CI/CD pipeline data, developer activity logs, and AI tool usage) to identify trends, bottlenecks, and improvement opportunitiesBuild models that quantify the productivity impact of AI-assisted development, CI/CD enhancements, and other developer experience initiativesDesign and run experiments to test hypotheses on tool adoption and workflow changes, validating outcomes for accuracy and reliabilityCreate and maintain dashboards, reports, and web-based views of key efficiency metrics (e.g., cycle time, throughput, and operational performance indicators)Build and maintain analytics engineering pipelines to deliver reliable, scalable data for reporting and modelingStay current on best practices in developer productivity measurement, AI-assisted development, and modern analytics engineeringRequired qualifications, capabilities, and skillsBachelor’s degree in Mathematics, Data Science, Statistics, Computer Science, or a related fieldFour years of experience in data science, analytics, or a related roleDemonstrated ability to define new metrics and measurement frameworks in ambiguous problem spacesProficiency in data analysis and visualization (e.g., SQL, Python, Tableau or similar tools)Experience with data warehousing and analytics platforms (e.g., Snowflake, Databricks, Amazon Redshift, or similar technologies)Strong foundation in machine learning, statistical modeling, and data miningStrong problem-solving skills and ability to derive actionable insights from complex data setsExcellent written, verbal, and presentation communication skills, including the ability to explain findings to technical and non-technical audiencesPreferred qualifications, capabilities, and skillsMaster’s degree in Mathematics, Data Science, Statistics, Computer Science, or a related fieldExperience working in Agile environments and using project tracking tools (e.g., Jira and Jira Align)Familiarity with analytics engineering and orchestration tools (e.g., dbt, Apache Airflow, or similar)Familiarity with software delivery metrics and the software development lifecycleFamiliarity with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, or similar)Experience with interactive data visualization platforms (e.g., ThoughtSpot, Looker, or similar)Experience mentoring junior data scientists or contributing to a collaborative, knowledge-sharing cultureChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. Full timePosting Date: 2026-08-11

Job DescriptionThe Chemical Commercialization Technology (CCT) department, part of our Manufacturing Division, is seeking a highly motivated and collaborative scientist to join our team. This position offers the opportunity to provide technical leadership across a varied portfolio of late-stage small molecule development programs while working in a highly integrated environment with research, manufacturing, quality, regulatory and external partners.The Senior Scientist will apply chemical engineering and process development expertise to support the commercialization of late-stage and commercial small molecule drug substance processes. This role provides significant technical leadership and offers opportunities to influence process design, control strategies, technology transfers, validation programs, regulatory submissions, and lifecycle process improvements.The successful candidate will work across laboratory, pilot plant, and manufacturing environments to develop scientific understanding, assess process risks, and implement robust manufacturing solutions. The individual will collaborate with internal stakeholders and external partners to drive successful commercialization and continuous improvement initiatives.The candidate must demonstrate a strong commitment to safety, quality, and compliance, including adherence to current Good Manufacturing Practices (cGMPs), Good Documentation Practices (GDPs), data integrity principles, and participation in risk assessments, deviation investigations, change control activities and continuous improvement initiatives.Key ResponsibilitiesLead process understanding, characterization, and commercialization activities for small molecule drug substance manufacturing processes.Design and execute scientifically sound experimental programs using Quality Risk Management (QRM) and Quality by Design (QbD) principles.Apply statistical methods, Design of Experiments (DoE), and data-driven decision making to establish process robustness and control strategies.Develop, defend, and communicate technical recommendations to cross-functional teams, manufacturing sites, and senior leadership.Support technology transfer activities from development laboratories to pilot plants and commercial manufacturing facilities.Author and review technical reports, validation documents, regulatory filing content, control strategies, and lifecycle management documentation.Provide technical leadership during process performance qualification (PPQ), process validation, and commercial manufacturing campaigns.Lead or support investigations, risk assessments, change controls, deviations, and corrective and preventive actions (CAPAs).Collaborate with internal and external manufacturing partners to resolve technical challenges and implement process improvements.Utilize first-principles engineering, process modeling, and scale-up methodologies to support manufacturing and process optimization.Champion a culture of safety, compliance, operational excellence, and continuous improvement.Position QualificationsEducationPh.D. in Chemical Engineering or a related scientific discipline.ORB.S. or M.S. in Chemical Engineering or a related scientific discipline with a minimum of 5 years of relevant industrial experience.Required Experience and SkillsDemonstrated experience in chemical process development, commercialization, or manufacturing support of small molecule pharmaceutical processes.Experience designing and executing experimental programs to solve complex chemical engineering and manufacturing challenges.Effective communication skills with the ability to present technical information to multiple audiences.Ability to work independently while collaborating effectively in multidisciplinary teams.Strong organizational, project management, and technical writing skills.Demonstrated commitment to safety, quality, and compliance.Preferred Experience and SkillsExperience authoring or reviewing regulatory submissions (e.g., NDA, MAA, post-approval changes).Experience leading technology transfers between development, pilot plant, and commercial manufacturing environments.Hands-on expertise with unit operations commonly used in small molecule drug substance manufacturing, including; Chemical reactions, Work-up operations, Distillation, Crystallization, Filtration, Drying.Knowledge of statistical software and advanced data analysis tools (e.g., JMP, Minitab, Python).Experience applying Design of Experiments (DoE), Process Capability Analysis, and Multivariate Data Analysis.Familiarity with process analytical technologies (PAT), digital manufacturing tools, and advanced process monitoring approaches.Experience leading internal / external technical discussions.Knowledge of current Good Manufacturing Practices (cGMP), validation requirements, and pharmaceutical quality systems.Experience with mathematical modeling, process simulation, scale-up principles, and engineering calculations.Familiarity with ICH guidelines, Quality by Design (QbD), Quality Risk Management (QRM), and lifecycle process verification concepts.Required Skills: API Manufacturing, Chemical Engineering, Chemical Manufacturing, Commercialization, Design of Experiments (DOE), Manufacturing Processes, Manufacturing Technologies, Pharmaceutical Process Development, Process Control, Process Improvements, Process Scale Up, Product Commercialization, Small Molecule Synthesis, Technology Development, Technology TransferPreferred Skills: Current Employees apply HERECurrent Contingent Workers apply HEREUS and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your RightsEEOC GINA SupplementWe are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State ActsThe salary range for this role is$117,000.00 - $184,200.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at .You can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance OrdinanceLos Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring OrdinanceSearch Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: RegularRelocation:DomesticVISA Sponsorship:YesTravel Requirements:10%Flexible Work Arrangements:Not ApplicableShift:1st - DayValid Driving License:NoHazardous Material(s):n/aJob Posting End Date:09/10/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. SummaryLocation: USA - New Jersey - RahwayType: Full time

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 to work on strategic, high-visibility projects.As a Data Science Associate in the A

We are seeking a Senior Business Analyst to serve as a Product Owner. This individual will work with product and operations stakeholders to define reporting requirements. The role involves collaborating with other applications to understand data mapping functionally and requires a specific start date due to business needs. This is a hybrid position with a requirement of a minimum of three days per week onsite. Key Responsibilities • Work with product and operations stakeholders to define reporting requirements., • Collaborate with other applications, such as TRADS, to understand data mapping from a functional perspective., • Engage in analysis, requirement gathering, elicitation, and stakeholder management., • Break down requirements into user stories for development teams., • Communicate project statuses and risks to stakeholders., • Work with stakeholders to understand Treasury data requirements. Required Qualifications Technical Skills: • Experience with Agile tools, specifically Jira., • Knowledge of MySQL., • Familiarity with Data Scientist concepts. Experience: • Strong business knowledge of payments., • Hands-on experience with Agile methodology., • Proficiency in requirement gathering and stakeholder management. Preferred Qualifications • A good understanding of key Treasury products, including Payments, Deposits, Trade Finance, and Liquidity Management.

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. As a Data Science Associate in the Audit Data Strategy Team you will develop AI/ML solutions to influence how risk

Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Continuously improve analytical methodologies and automation processes to enhance data workflows. Expertise in statistics, mathematics, and data analysis techniques.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Guide businesses in improving processes and software through data analysis. Develop and execute test plans for financial modules to ensure data integrity and process accuracy.

Understanding of data governance, data-quality frameworks, or internal controls. As a Data Analyst supporting the Client Group, you'll own the data work behind accurate, reliable client billing. Ability to navigate imperfect data and adjust to a dynamic environment with shifting priorities.

We're looking for an Associate Data Scientist to help turn complex data into clear, actionable business decisions. You'll develop predictive models using statistical and machine learning techniques, analyze large datasets to surface meaningful patterns, and partner with cross-functional teams to des

Strong ability to analyze financial data, perform reconciliations, validate reporting accuracy, and identify trends or discrepancies within large data sets. Financial Data & Operational Analytics. Data Integrity & Reconciliation Accuracy:.

Ensure data integrity across financial systems ensuring accurate data flow, integration, and compliance with accounting principles. Identify and champion opportunities for process and system optimization, leveraging data-driven insights and industry best practices. Mature presence and poise to engag

Senior Director, Business Systems. Oversee and troubleshoot data integrity and system integrations between NetSuite and ancillary systems (e. CPQ, Commerce platforms, ZIP, Data Lake etc.

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. VAST Data is looking for a Customer Suppo