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Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues . We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society. We are seeking a motivated and detail-oriented Data Engineering Manager to join our Data Platform and Engineering team. This role is ideal for individuals with a strong foundation in data operations and a proven ability to drive operational excellence in technical environments. The successful candidate will play a key role in operationalizing support workflows, incident response protocols, and data observability practices across our data platforms. This position is open to both HQ-based and remote candidates. How You Will Contribute Manage a small team of data engineers focused on operational support, reliability, and platform engineering. Provide mentorship, guidance, and performance feedback to team members. Be hands-on in writing production-grade code to support data product development, collaborating directly with data engineers and architects. Design and implement scalable support processes for data pipelines and platforms. Foster a culture of accountability, continuous learning, and collaboration. Own and evolve incident response playbooks, ensuring rapid and effective resolution. Collaborate with cross-functional teams to define service levels and reduce downtime. Lead efforts to enhance data observability using tools like Monte Carlo, Bigeye, or similar. Define and track key metrics for data health, latency, and reliability. Drive adoption of proactive monitoring and alerting systems. Identify opportunities to automate repetitive support tasks and incident triage. Partner with platform and analytics teams to streamline data delivery and quality assurance. Contribute to documentation and knowledge base development. Act as a point of contact for operational escalations and support inquiries. Communicate effectively with business and technical stakeholders regarding incidents and resolutions. Support onboarding and enablement of new data users and engineers. What You Will Bring 5+ years of experience in data engineering, with exposure to DevOps and/or DataOps, operational support, and incident management. 1+ years of experience in a leadership role. Strong understanding of data pipeline architecture, ETL/ELT processes, and cloud data tools (e.g., Snowflake, Databricks, Fivetran, dbt, AWS/GCP). Familiarity with observability tools and practices (e.g., logging, tracing, metrics). Excellent problem-solving skills and a bias toward action. Strong communication and organizational skills. Enthusiasm to contribute to Stand Together's vision and principled approach to solving problems, and a commitment to stewarding our culture, which champions values including transformation and innovation, entrepreneurialism, humility, and respect. Standout Candidates Will Bring Experience with incident management frameworks (e.g., ITIL, SRE). Hands-on experience with data quality and data observability tools. Exposure to agile methodologies and DevOps practices. Passion for building reliable, scalable, and user-friendly data systems. What We Offer Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace. A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges. Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents. Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive. Our Values: Working at Stand Together is different from many other organizations. Our culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers our employees to be entrepreneurial, to innovate, and to continually drive transformation. We believe diversity fuels creativity, broadens knowledge, and helps drive success, and that is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, respect and sensitivity. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and Analytics team you will lead the design and execution of innovative strategies for business data validation during ERP implementations. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to drive project success while fostering teams that solve complex challenges. This role offers the chance to work with advanced technologies and methodologies, promoting operational excellence and delivering impactful results for our clients. Responsibilities - Drive impactful results through strategic project management and execution - Work with stakeholders to identify and address data-related issues - Promote a culture of continuous improvement and excellence within the team - Uphold adherence to professional standards and established practices in data analysis What You Must Have - Bachelor's Degree - At least 7 years of experience in a public accounting firm or professional services organization What Sets You Apart - Bachelor's Degree in Accounting, Computer Science, Computer and Information Science & Accounting, Management Information Systems preferred - Certified Public Accountant or Certified Information Systems Auditor preferred - Leading data validation strategy during ERP implementations - Coordinating client IT and compliance teams effectively - Understanding ERP implementation phases and challenges - Manipulating large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake - Reading and interpreting technical documents related to data - Building networks and developing business opportunities - Coaching junior team members for quality work Travel Requirements Up to 40% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Catholic Charities is the social services arm of the Catholic Church in the Archdiocese of San Francisco. Founded in 1907 to care for the orphans of the San Francisco earthquake, Catholic Charities is an independent non-profit organization. All financial contributions directly support Catholic Charities’ programs in Marin, San Francisco, San Mateo and Sonoma Counties. Catholic Charities serves and advocates for the poor, the sick, the distressed, children, youth, families, immigrants and seniors, regardless of race, religion, color, sex, age, physical or mental disability, national origin, sexual orientation, or any other basis covered by local law. The primary role of the Director of Data Strategy is to support the implementation and development of systems and practices that will lead to a continual cycle of Discovery, Analysis, and Improvement throughout the agency. A key element of this position will be to facilitate data collection, examination and turning it into usable information for Agency Strategic and Operational direction. The Director will steward Agency accreditation which measures levels of impact, outcomes, indicators of success and the theory of change that Catholic Charities uses to achieve these results. In carrying out this role, the Director will balance responsibilities of implementing solutions and helping programs and administrative departments to develop the capacity and capability to conduct their own continuous improvement measurements and goals. The Director is a champion for data science and for Catholic Charities to be a data driven organization and forges Business Development for agency opportunity to explore new business ventures and program services. Salary: $120,000 Location: Onsite 5 Days per Week Lead the discovery, planning and implementation of sustainable technology and process systems that result in desired agency outcomes and continuous improvement by implementing and coordinating a data strategy plan for the entire agency. Build upon existing data collection instruments and methodologies to identify program/service/department level impact, outcomes, indicators of success and the theories of change that we will use to achieve the results and to generate optimal data to measure progress in achieving program/service outcomes. Assist and train agency leaders and staff on the use and interpretation of data for quality improvement and strategic decision making. Work with others to share and interpret findings and lead efforts to adopt practices and build capacity and capabilities of a "learning organization." Lead initiatives on behalf of the Agency consisting of direct or matrixed personnel in project planning, design, and execution to realize Agency strategy for the betterment of Catholic Charities services. Provide clear communication of key findings to a variety of sponsors and stakeholders including agency Staff, Executives, Board Members, Funders, and Community Practitioners. Be a champion and collaborative partner in accreditation for the entire agency, especially in the areas of quality improvement and data usage. Provide consultation and guidance that enable those responsible for execution and adherence to compliance. Establish and provide oversight into an Agency Data Governance model that aligns with compliance standards for accreditation, contracts, grants and enables continual analysis to be a Data Driven organization. Provide management, oversight and mentorship to direct reports and other staff as required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education & Experience : Bachelor's level degree in social science or related field. 5-7 years of experience with program evaluation, database management, or similar areas Experience with the identification of impacts, outcomes, indicators, theories of change, and logic models. Experience with analysis of data and the ability to convey relevance to others Experience supervising staff. Knowledge, Skills & Abilities : Ability to prioritize and manage multiple projects concurrently. Excellent written and verbal communication skills. Ability to work effectively and influence in a matrixed organization. Strong analytical skills and attention to detail. Demonstrated use of research methodology and techniques. Ability to translate research into salient messages and outcomes. Proficient with Microsoft Office suite (Outlook, Word, PowerPoint, Excel). Demonstrated experience using Microsoft Teams or other Unified Communication and Collaboration tools to effectively work remotely with geographically dispersed colleagues. Experience in using Microsoft Power BI to quickly perform analysis and develop recommendations is required. Proficient with Microsoft Fabric, UKG, & Blackbaud’s Raiser’s Edge. Familiar with Social Media platforms with the ability to leverage analytic tools measuring utilization and effectiveness of Agency website for fund raising. Demonstrates the necessary attitudes, knowledge and skills to deliver culturally competent services and work effectively in cross-cultural situations. Clearances Required Prior to the First Day of Employment: Fingerprinting Clearance: Required TB Screening - Negative Tuberculosis Test: N/A First Aid Certificate: N/A The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Occasional bending, standing, stooping, kneeling, reaching, twisting and walking. Occasional lifting, pushing and pulling. Frequent repetitive motions: Making substantial movements (motions) of the wrists, hands and/or fingers. Light work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; and extensive reading. Driving is not required for this position. If driving is requested for a specified project, incumbent must have a valid California driver's license and be able to provide proof of DMV record and personal insurance (if required.) The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The worker is occasionally exposed to perfume or scents in personal care products used by employees, clients, and visitors. Noise level in work environment is usually moderate in accordance with a typical office environment. The work environment includes traveling using various modes of transportation. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. CATHOLIC CHARITIES IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER and is committed to providing equal employment without regard to race, color, creed, religion, national origin, ancestry, age, sex, sexual orientation, gender identity, legal domicile status, veteran status, disability or AIDS/HIV status or any other characteristic protected under federal or state law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role We need someone who gets excited about building engineering teams that wrangle data at a scale that would make most databases cry. Not the kind of manager who just talks about "big data," but someone who understands the difference between processing millions of records and processing billions while maintaining sub-second query performance. CloudZero's data platform is the beating heart of everything we do. We ingest billions of cost and usage events daily from AWS, Azure, GCP, and a growing list of SaaS and AI providers. When the fastest-growing engineering teams in the world throw their entire cloud spend at us, our pipelines don't flinch. When their CFOs need real-time cost attribution for board meetings, our warehouse delivers. This isn't batch processing your grandfather's ETL jobs; this is event-driven, serverless architecture that processes terabytes while customers watch. You'll be running a team of 8 engineers who are solving legitimately hard problems: how do you build data pipelines that scale gracefully from startup to enterprise without architectural rewrites? How do you maintain data consistency across multiple cloud providers with different billing models? How do you optimize query performance when your customers' data grows by orders of magnitude? The challenge isn't just technical. You're managing engineers who could easily land staff roles at FAANG companies, keeping them engaged on problems that push the boundaries of what's possible with modern data architecture. We've built something genuinely innovative here, but we're scaling fast. What You'll Do Architect teams for hyperscale data. Lead and grow a team of eight engineers who build the infrastructure that processes more cost data than anyone else in the industry. Your job is to create an environment where they can push the limits of data architecture without burning out. Drive innovation in data engineering. Champion the complex platform work that enables everything else. Help your team strike a balance between pipeline reliability and performance optimization. Make the case for architectural improvements that handle 10x growth without breaking existing systems. Scale data platform excellence. Design team processes that work when data volumes increase by orders of magnitude. Think through the hard engineering problems: how do you maintain data quality when ingesting from dozens of providers? How do you debug pipeline issues across distributed, event-driven systems? Bridge data and business. Help product teams understand data platform constraints without limiting their vision. Explain pipeline latency and storage costs to executives in terms that inform strategic decisions. Your insights should inform how we approach data architecture at scale. Develop data platform expertise. Help engineers level up their understanding of distributed systems, event streaming, and warehouse optimization. Create career paths for data engineers who want to work on genuinely challenging problems. You Might Be a Good Fit If... You've managed data engineering teams that processed substantial volumes at companies where data pipeline failures resulted in significant business impact. You’ve done this for 5+ years at a B2B SaaS company. You may have been the person who had to explain why the warehouse was choking on a customer's data and helped the team architect a solution, not just manage the incident. You likely understand that great data platform engineering is about building systems that gracefully handle the unexpected. You probably have strong opinions about event streaming, warehouse design, and pipeline monitoring, but you adapt them based on actual performance characteristics. You might be someone who still gets excited about query optimization and data modeling but doesn't need to review every schema change. You carefully consider which architectural decisions require your input and which ones your team can own entirely. You can spot the difference between a pipeline that's slow because it's handling more data and one that's slow because it's poorly designed. You've likely helped engineers think through performance tradeoffs that don't have obvious answers. You're probably fascinated by the intersection of cloud billing data, real-time processing, and warehouse optimization. You see the potential in building data infrastructure that enables entirely new ways of thinking about cost management. Most importantly, you believe that data platform engineering is where the hardest and most interesting technical problems live. You see people management as the way to build systems that push the boundaries of what's possible with modern data architecture. Please note : CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.

Current employees, please apply in Workday . Wolverine Worldwide is a global marketer of branded footwear, apparel, and accessories. With an established global footprint that spans approximately 200 countries and territories, as well as a rock-solid infrastructure, Wolverine Worldwide is dedicated to advancing the following brands that comprise the ever-expanding portfolio: Bates, Chaco, Cat Footwear, Harley Davidson Footwear, Hush Puppies, Merrell, Saucony, Sweaty Betty and Wolverine. Wolverine Worldwide’s continued success is driven by our ability to stay true to our simple mission: we empower, engage and inspire our consumers – every step of the way.The Lead Azure Data Engineer operates as a technology expert and architect in the design, development and implementation of data solutions using Microsoft Azure technologies. This position works at an Enterprise level with responsibility for solution development and delivery, technology best practices, 24-7 support model, and service level agreements with business leadership. Primary Duties: Confers with customers and team members to determine requirements; designs business application systems that address and solve corporate business needs; utilizes business and systems knowledge to best meet customer and organizational needs Manages and maintains controls and procedures, ensuring that assigned IT areas are performing significant tasks on schedule and within expense parameters Acts as coordinator, as requested, for Enterprise-Wide priorities; identifies and analyzes issues, devises solutions through cross-functional teamwork and determines corrective action, clearly communicating to stakeholders throughout Assesses requirements and work requests and assigns priorities and resolution targets Assists Manager in preparation of annual budgets and monthly cost allocations Accountable for disaster recovery initiatives and change management standards and procedures Leads and/or assists team members and customers with problem solving related to application performance and usage Establishes, monitors and improves service delivery levels including reliability, availability, accuracy, serviceability and cost Interfaces with all levels of management to develop requirements and obtain approval for implementation of new systems Assists IT Management in the formulation and execution of complex objectives to meet short and long-term company strategic goals Estimates work effort (resources, timeline, cost) for multiple projects across teams/areas of expertise Provides input to the recruiting process Continues development of technical and business proficiency through self-directed education, project assignments and interfacing with representatives of vendors and suppliers; participates in local/regional/national influence groups Manages and accounts for Wolverine resources and assets Interacts in a cross-team capacity to meet customer and organizational needs Provides 24-hour on call support, including evenings and weekends Performs other duties as required/assigned by Manager Performs duties consistent with the company’s AAP/EEO goals and policies Knowledge, Skills, and Abilities: Bachelor’s degree in Computer Science or equivalent work experience. 10+ years of proven experience in the design and implementation of data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deploying highly automated and documented solutions Considered an expert with Cloud Data Engineering (Ex: MS Azure Synapse and/or Fabric) 8+ years of experience with Microsoft Azure data engineering products: Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps Strong understanding of Azure Monitor, Application Insights, Cost Management, or equivalent tooling Strong understanding of SAP AFS Functional Areas, Sales and Distribution, Order to Cash, Material Management, Procure to Pay a plus Certificates in area of expertise or equivalent training and development. Proven successful assignment record Good analytical, problem solving and organizational skills Ability to establish and maintain effective working relationships Good oral and written communication skills Working Conditions: Full Time. 100% Remote. Michigan based candidates preferred. Must be located in Eastern on Central Time Zones. # LI-Remote #LI-MM1 Salary Minimum $128,000.00 Salary Maximum $168,000.00 The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties and skills which may be required. Wolverine Worldwide, Inc. is committed to creating a company that is as diverse as our consumers. We value the differences in one another and believe our differences make us stronger. Our diverse and inclusive corporate culture starts with the recruitment process. We are committed to being an equal opportunity employer. We aim to create equal opportunities for our associates, customers, and suppliers regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected characteristic.

Benefits: Competitive salary Flexible schedule Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX Roles & Responsibilities : - Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts. - Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production—ensuring reliability, scalability, monitoring, and maintainability. - Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection. - Optimize models and pipelines for performance, cost, and efficiency. - Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use. - Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning. - Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI. - Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc. - Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering. - Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases. - Experience working in production / deploying models (batch and streaming), working with MLOps practices. - Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty. - Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field. - Experience with multimodal models (vision+ text) or emerging LLMs and agent-based systems. - Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks. - Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19. Compensation: $150,000.00 - $210,000.00 per year About Us We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses. Work Approach Our Philosophy Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal. Work Policy We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution. The Future SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

Job Description: Data Analyst - Power BI Specialist Location: Hoboken (HQ), NJ, USA Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it’s in our differences that we empower the way the world learns. About the Role: At Wiley, we welcome you for who you are, the background you bring, and embrace individuals who get excited about learning whether online or by book. Learning is for everyone, and so is our workplace. Bring your experiences, your perspectives, and your passion. It’s in our differences that we empower the way the world learns. We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We’re looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness. How you will make an impact: Develop and maintain shared semantic models in Power BI using star schema design. Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI. Define and implement best practice report/data management through Microsoft Fabric integrations Review and maintain reports for performance optimizations, style consistency, and best practice improvements. Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience. Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes. We are looking for people who have: Experience (4+ years) in Data Modelling, Data Visualization, Data Analysis, or similar. Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools. Demonstrated proficiency creating SQL queries to manipulate large datasets. Strong analytical and problem-solving skills, with a focus on best practice and data governance. Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders. Experience with BigQuery or other data warehousing platforms. About Wiley: We are in one of the most dynamic periods in our history as technology, globalism and economic diversity create far-reaching changes in the world. As a learning business, Wiley makes meaningful contributions to research discovery and lifelong learning by helping organizations achieve their goals and people achieve success from education through their career. We may have been founded over two centuries ago, but our secret to success remains the same: change with the times and adapt to meet the ever-evolving needs of our customers. The company’s headquarters are located in Hoboken, New Jersey, with operations in the U.S., Europe, Asia, Australia, and Canada. Wiley is an equal opportunity/affirmative action employer. We evaluate qualified applicants and treat all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or based on any individual’s status in any group or class protected by applicable federal, state or local laws. When applying, please attach your resume/CV to be considered. A link to a sample portfolio is suggested but not required. About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world's most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today's biggest obstacles into tomorrow's brightest opportunities.With over 200 years of experience in publishing, we continue to evolve knowledge seekers' steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds.Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.When applying, please attach your resume/CV to be considered. Salary Range: 85,500 USD to 122,567 USD#LI-CW1

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you’ll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We’re looking for high performers to join our team who excel in their expertise and who can transform plans into action. You’ll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. Essential Functions/ Responsibilities The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus’ standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. Develop data conversion procedures using SQL, Java and Linux scripting Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications Develop new specifications to satisfy new customers and products -erve as the primary point of contact/driver for all technical related conversion activities Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates Maintain and update technical conversion documentation to share with internal and external clients and partners Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills Adapt and creatively solve encountered problems under high stress and tight deadlines Learn database structure, business logic and combine all knowledge to improve processes. Be flexible Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication Management of multiple projects and conversion implementations Ability to proactively troubleshoot and solve problems with limited supervision Education and Experience S. Degree in Computer Science or comparable experience Strong knowledge of Linux and the command line interface Exceptional SQL skills Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) Familiarity with various online banking applications and understanding of third-party integrations is a plus Effective written and verbal communication skills Problem Solver – recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels Strong attention to detail Proficiency with raw data, analytics, or data reporting tools Nice to Have Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries Experience with front end web interfaces (HTML5, Javascript, CSS3) Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel required for this role. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. EEO Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description AVP - Investment Operations (Data & ESG) Job Description This individual will work closely with the business stakeholders in the various business lines mentioned previously and ESG (Environmental, Social and Governance) leads to provide solutions supporting ESG data needs, collection, and reporting. To be successful, the ideal candidate would have experience in thoughtful strategic planning around data integrity and governance with an ability to anticipate and respond to future business needs. The role requires a dynamic, adaptive, and versatile experienced hands-on professional to ensure best practices in a fast-paced rapidly growing environment. Specific Responsibilities include, but not limited to Data Governance: Establish and maintain robust data governance frameworks to ensure accuracy, consistency, and compliance across ESG datasets. ESG Data Strategy Alignment: Collaborate with ESG Data Strategy teams to define priorities and translate business requirements into actionable documentation. Data Output & Quality Assurance: Generate and review data output files for integrity and assurance; implement QA/QC checks to maintain high standards of data quality. Data Analysis & Insights: Perform analysis across diverse and large datasets; synthesize findings into clear, actionable insights and communicate recommendations effectively to stakeholders. Automation & Process Improvement: Drive automation of data workflows and reporting processes to enhance operational efficiency. Technology Partnership: Work closely with Technology teams to design and implement efficient, scalable solutions for ESG reporting needs. General Requirements Ability to be flexible in terms of hours to coordinate with team members across various time zones (primary offices, in NY, LA and London) An analytical mind and a passion/interest in bringing innovative ideas to increase efficiency of existing processes Strong verbal and written communication skills to build out business requirement documentation Strong Attention to detail Dependable, great attitude, highly motivated and a team player Technical skills: Strong excel skills required. Familiarity with institutional asset management research, trading workflows, and associated systems. Solid understanding of the data points associated with different asset classes. Experience connecting with third party APIs, SQL, or Python preferred but not required. Experience with Databricks and PowerBi preferred but not required Experience in Investment Operations, Fund Accounting, Information Technology or Software Development life cycle preferred with the ability to manage multiple projects concurrently ESG data experience: Support the implementation of new systems and upgrades to existing software, particularly in relation to data collection, data governance and process design. Qualifications Education Bachelor's degree in finance or other business-related discipline Experience Required Minimum of 10 years of experience in high quality, global capital markets or investment management firms with expertise in Data Operations Experience in Investment Operations, Fund Accounting, Information Technology or Software Development life cycle preferred Prior experience with an alternative asset manager preferred broader asset management experience preferred Hedge fund, Credit or Private Equity experience is a plus Reporting Relationships Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $150,000 - $175,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.

A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of our senior care data ecosystem. As a member of our growing Data Product team, this role will define and drive how we systematically collect, organize, and package our internal proprietary data to maximize value for the families we serve and our partners within the senior care space. What you will do: In this role, you will oversee the next evolution of A Place for Mom’s data capabilities, developing the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases. You will partner closely with a wide range of key stakeholders - from senior leadership, to marketing and sales domain owners, to product and technical vertical owners - to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value for our clients and customers. Specific responsibilities include: Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.) Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders Proactive communication to senior leadership of progress and identified value-add of data investments Work with business unit teams to identify, evaluate, and productize data monetization opportunities Qualifications: Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science 5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions) Expertise with SQL and data modeling strongly preferred Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products Excellence in communicating technical information and quantitative insights to leadership audiences Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels Compensation: Base Salary: $150,000 to $175,000 + 10% Bonus Benefits: 401(k) plus match Dental insurance Health insurance Vision Insurance Paid Time Off #LI-KT1 About A Place for Mom A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies. Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other. We’re proud to be a mission-driven company where every role contributes to improving lives. Caring isn’t just a core value — it’s who we are. Whether you’re supporting families directly or driving innovation behind the scenes, your work at A Place for Mom makes a real difference. Our employees live the company values every day: Mission Over Me : We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.\ Do Hard Things : We are energized by solving challenging problems and see it as an opportunity to grow. Drive Outcomes as a Team : We each own the outcome but can only achieve it as a team. Win The Right Way : We see organizational integrity as the foundation for how we operate. Embrace Change : We innovate and constantly evolve. Additional Information: A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview. If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission. All your information will be kept confidential according to EEO guidelines. A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify .

Position: Data Platform Engineer The Data Engineering team is seeking a highly skilled and experienced Data Platform Engineer with expertise in Data Engineering, Database Modeling, and modern Cloud Data Platforms. The Data Platform Engineer designs, builds, and maintains scalable and secure data infrastructure, tools, and pipelines to support data analytics, machine learning, and business intelligence initiatives. They will also work closely with other teams, such as data analysts, data scientists, and software developers, to provide them with the data they need to perform their job functions. Responsibilities Design and implement robust, scalable, and efficient data models and pipelines across cloud-based platforms. Develop, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks. Build and orchestrate Databricks Notebooks and Jobs using PySpark, Spark SQL, or Scala Spark. Develop and manage data models, data warehousing solutions, and data integration architectures in Azure. Implement Azure Functions, Azure WebApps, and Application Insights to support microservices and monitor distributed systems. Configure and manage Databricks clusters, including autoscaling, Photon acceleration, and job orchestration. Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases. Ensure data quality, governance, and security across the data lifecycle. Collaborate with product managers by estimating technical tasks and deliverables. Uphold the mission and values of Monogram Health in all aspects of your role and activities. Position Requirements A bachelor's degree in computer science, data science, software engineering or related field. Minimum of five (5) years in designing and hands-on development in cloud-based analytics solutions, which includes a minimum of three (3) years’ hands on work with big data frameworks and tools, such as Apache Kafka and Spark. Expert level knowledge of Python or other scripting languages required. Proficiency in SQL and other data query languages. Understanding of data modeling and schema design principles Ability to work with large datasets and perform data analysis Designing and building data integration pipelines using API’s and Streaming ingestion methods is desirable. Familiarity with DevOps practices, including automation, CI/CD, and infrastructure as code (IaC). Thorough understanding of Azure Cloud Infrastructure offerings. Demonstrated problem-solving and troubleshooting skills. Team player with demonstrated written and communication skills. Benefits Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts Financial & Retirement Support – Competitive compensation, 401k with employer match, and financial wellness resources Time Off & Leave – Paid holidays, flexible vacation time/PSSL, and paid parental leave Wellness & Growth – Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person’s health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders. Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient’s healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. Monogram Health’s personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.

The Role Bedrock is looking for a passionate intern to help develop our internal data and machine learning platforms. You would join our NYC-based team and contribute daily to the growth and improvement of the systems and tools that power the heart of the company. This is a hands-on role focused on programming, problem solving, and innovation that makes all Bedrock employees more efficient in their job. You will work closely with the existing Cloud platform team, as well as Machine Learning Engineers and Roboticists. Key Areas: Developer experience – help tighten the feedback loop for all Bedrock engineers by enabling state of the art tooling. Build unified data visualization and interactive systems to dig into the wealth of multimodal data Bedrock collects (Petabytes of video and LiDAR data!) Optimize the performance and ergonomics of existing tooling to enable lightning fast experimentation. What you will gain Hands-on, high-impact software development at a state of the art company. Exposure to the daily work of distributed systems engineers, machine learning practitioners, etc. Mentorship from experienced software engineers. Opportunity to interact with and build on massive swaths of data. Requirements Ideal candidate: Currently pursuing or recently completed a degree in computer science or software engineering. Strong passion for programming (we use Rust and Python, but love to see your projects in any stack!) Initiative and eagerness to learn how others work to build the best systems for our users. Self-starter who thrives in dynamic environments. This is a part-time/full-time internship opportunity with potential for growth as our company scales. Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you. Join the team bringing advanced autonomy to the built world At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue. While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion-dollar infrastructure projects. In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: Employer: Johnson & Johnson Services, Inc. Job Title: Lead Data Engineer Job Code: A011.8547 Job Location: New Brunswick, NJ Job Type: Full-Time Rate of Pay: $170,000 - $190,000 Job Duties: Lead portfolio of data engineering projects working on multi-functional teams involving business analysts, product managers, and data scientists. Define architecture and design resilient data analytics systems, processing large volumes of data in both batch and real time mode. Drive adoption of modern data engineering principles, patterns, and best practices to improve velocity, quality, reliability, and maintainability of products. Provide technical leadership by coaching and mentoring a team of engineers through code reviews, pair programming, and other means. Work with data scientists to incorporate ML models in the data analytics platform to derive intelligent insights. Optimize existing data infrastructure, code & data pipelines to reduce cost, increase efficiency, and improve scalability. May telecommute. Requirements: Employer will accept a Bachelor's degree in Computer Science, Engineering, or related field and 5 years of experience in the job offered or in a Lead Data Engineer-related occupation. This job posting is anticipated to close on 1/9/2026. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: The anticipated base pay range for this position is : $170,000 - $190,000 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One 401K with Employer Match Tuition Reimbursement After One Year of Service Fertility Assistance Program Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service As a Data Engineer on our Data Science team, you will design, build, and maintain the data pipelines and models that power our AI/ML solutions. You’ll collaborate closely with business stakeholders to understand source schemas and translate them into a Common Data Model (CDM). Your work will ensure high-quality, well-structured data flows from ingestion through transformation to downstream consumption by data scientists and applications. Duties and Responsibilities, aligned with Key Results: People Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Working directly with management, product teams and practice personnel to understand their platform data requirements Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions Client Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences Analyzing user feedback and activity and iterate to improve the services and user experience Value Securing data in alignment with internal information and data security policies, best practices and client requirements Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance Staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities and mentoring other members of the engineering community Perform other duties as assigned Education and Experience Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field 3+ years of experience developing data technologies and deploying ETL/ELT solutions in production 3+ years of hands-on work with cloud-based data services—preferably Azure (Data Factory, ADLS) or AWS 3+ years of experience building and optimizing pipelines on Azure Databricks (Spark, Delta Lake) or equivalent platforms 3+ years developing backend or data-wrangling solutions in Python, Scala, Java, .NET, or similar Experience operating in mixed Windows/Linux environments Additional Required Skills and Experience Proven track record of exceeding goals and making sound decisions through analysis, experience, and judgment Fluency with one or more database technologies (relational and/or NoSQL) Familiarity with distributed data platforms (e.g., Spark, Hadoop) Exposure to AI/ML pipelines and model operationalization workflows Experience deploying, monitoring, and maintaining Databricks -based data pipelines in production Strong commitment to diversity, accountability, transparency, and ethics Excellent communication skills and ability to collaborate cross-functionally in an agile environment Computer Skills: To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research. Supervisory Responsibilities: None Work Environment: Standard indoor working environment. Occasional long periods of sitting while working at computer. Must be able to lift, carry, push or pull up to 30 lbs. Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary. Independent travel requirement: As Needed #DICE Equal Opportunity Employer: disability/veteran

Description The Procurement team leverages data and reporting tools to monitor inventory performance which supports critical decision making. By enhancing reporting capabilities and building a stronger analytics infrastructure, the team can optimize inventory levels to support working capital KPI’s. As an intern, you will gain hands-on experience in data analysis, visualization and automation while helping the team improve how it manages and communicates inventory performance. Responsibilities Assist in the development of key dashboards that help manage inventory performance Test AI tools for predictive insights Prepare clear, insightful visualization and summaries to support management report-outs Conduct cost analysis across categories Help buyers with their daily analysis of key reports that drive optimal replenishment. Participate in cross-functional meetings to better understand the end-to-end supply chain Complete a capstone project to be assigned at the time of coming on board Shorr Packaging does not provide work authorization sponsorship for this position. The targeted compensation for this position is between $18 - $19/hour, depending on skills and experience of the selected candidate. This temporary position is not benefits eligible. This position is in the office five days a week. Requirements Current Sophomores or Juniors pursuing a Bachelor’s degree in a supply chain, business, data analytics or a related program Positive attitude, team player, ability to thrive in a fast-paced environment Proficiency with Word, Outlook, Excel (or SmartSheet) Shorr Packaging Corp is an equal-opportunity employer. It is the policy of Shorr Packaging Corp to afford full Equal Employment Opportunity, and all applicants will receive consideration for employment without regard to protected veteran status or disability status or any other legally protected status

Job Description Summary The role will architect and guide the development of enterprise data models through a user journey and experience (UX) that powers seamless and intuitive analytics, reporting, and operational systems. This role will lead the design of conceptual and logical data models, ensuring semantic clarity, scalability, and alignment with business objectives. The visionary leader will use data and user experience to elevate our digital products through intuitive, elegant, and user-centered design for the smart factory transformational journey. Job Description We are the makers of possible BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us. Principal Accountabilities: Define and drive UX strategy across products and platforms Act as a liaison between data teams and design teams to ensure cohesive product development Define and enforce standards for data visualization, labeling, and user interaction with data Develop and lead smart factory data governance strategy and operating model Define data ownership, stewardship roles, and accountability structures Ensure compliance with data privacy and protection regulations Establish data quality metrics, monitoring, and remediation processes Promote data literacy and governance awareness across smart factory sites Design and maintain data models for smart factory Collaborate with stakeholders i.e. smart factory process owners, TGS and sites to translate business requirements into data structures Ensure models support operational needs for the digital transformation journey Define and enforce data standards, naming conventions, and classification schemes Lead UX design initiatives for data-driven platforms, dashboards, and tools Conduct user research, usability testing, and behavioral analysis to inform design decisions Create wireframes, prototypes, and interaction flows that align with user needs and business goals Collaborate with product managers and developers to ensure seamless implementation of UX designs Champion accessibility, responsiveness, and intuitive design across all interfaces Establish and maintain design standards, systems, and best practices Advocate for user-centered design principles across the organization Collaborate with product managers, developers, and stakeholders to align design with business objective Education, Experience, and Capabilities Preferred: 10+ experience in operations, maintenance or quality related fields 8+ years of experience in data modeling, data architecture, or enterprise data design Degree in Computer Science, Computer, Mechanical, Industrial, Chemical or other Engineering background required Deep expertise in user research, user experience and data modelling for manufacturing Familiarity with cloud data platforms Experience with metadata management and data governance tools Strong data-driven decision-making and cross-functional facilitation capability​ Demonstrated ability to set clear strategies & guide teams to results Strong oral and written communications skills Excellent interpersonal and influencing skills and the ability to function at all levels across multiple organizations. Strong influencing skills. Attention to detail, high level of initiative and motivation. Ability to work in a fast-paced team oriented and matrix work environment. At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. At BD, we are committed to supporting our associates’ well-being, development, and success through a performance-based culture. For this position, BD offers a competitive compensation package along with the following benefits specific to this role: Annual Bonus Potential Discretionary LTI Bonus Potential reimbursement of phone use Health and Well-being Benefits Medical coverage Health Savings Accounts Flexible Spending Accounts Dental coverage Vision coverage Hospital Care Insurance Critical Illness Insurance Accidental Injury Insurance Life and AD&D insurance Short-term disability coverage Long-term disability insurance Long-term care with life insurance Other Well-being Resources Anxiety management program Wellness incentives Sleep improvement program Diabetes management program Virtual physical therapy Emotional/mental health support programs Weight management programs Gastrointestinal health program Substance use management program Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit Retirement and Financial Well-being BD 401(k) Plan BD Deferred Compensation and Restoration Plan 529 College Savings Plan Financial counseling Baxter Credit Union (BCU) Daily Pay College financial aid and application guidance Life Balance Programs Paid time off (PTO), including all required State leaves Educational assistance/tuition reimbursement MetLife Legal Plan Group auto and home insurance Pet insurance Commuter benefits Discounts on products and services Academic Achievement Scholarship Service Recognition Awards Employer matching donation Workplace accommodations Other Life Balance Programs Adoption assistance Backup day care and eldercare Support for neurodivergent adults, children, and caregivers Caregiving assistance for elderly and special needs individuals Employee Assistance Program (EAP) Paid Parental Leave Support for fertility, birthing, postpartum, and age-related hormonal changes Leave Programs Bereavement leaves Military leave Personal leave Family and Medical Leave (FML) Jury and Witness Duty Leave Why Join Us? A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place. To learn more about BD visit https://bd.com/careers Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally-protected characteristics. Required Skills Optional Skills . Primary Work Location USA NJ - Franklin Lakes Additional Locations USA AZ - Tempe Headquarters, USA UT - Sandy Work Shift At BD, we are strongly committed to investing in our associates—their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You . Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates’ progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field-based and Remote roles. Salary Range Information $179,400.00 - $296,000.00 USD Annual

Senior Data Scientist ML Engineer Description - HP Inc. is seeking a Data Scientist / ML Engineer to build and deploy scalable machine learning solutions using large-scale device and customer data. This role combines advanced modeling, experimentation, and MLOps with strong data engineering and API integration skills. You will work across cloud platforms, big data systems, and cross-functional teams to drive monetization, personalization, and business intelligence. Key Responsibilities Design, train, and deploy machine learning and deep learning models, including propensity models, recommendation engines, and customer behavior prediction systems. Own the full ML lifecycle—from feature development through training, evaluation, deployment, and ongoing model monitoring using scalable MLOps pipelines. Collaborate with data engineering and business teams to operationalize insights and ML models. Design and maintain large-scale ETL/ELT data workflows and integrate structured/unstructured data. Develop and integrate with REST and GraphQL APIs for data ingestion and ML-driven services. Leverage Python, SQL, Databricks and Apache Spark for data exploration, mining, cleansing and transformation. Conduct A/B testing, statistical analysis, and experimentation to improve engagement and business KPIs. Implement secure coding practices and leverage Git, CI/CD, and automated testing. Requirements Bachelor’s or Master’s in CS, Data Science, Engineering, Statistics, or related field. 7–10 years in data science, ML engineering, or data engineering roles. Proficiency in Python, SQL, ML frameworks, and distributed data processing (Spark, Databricks). Experience with AWS and Azure. Strong ETL/ELT skills and experience with large-scale datasets. Experience with REST/GraphQL APIs and third-party API integration. Strong understanding of Git, CI/CD, and production-grade ML systems. The pay range for this role is $130,350 to $200,750 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - Shift 1, 0% premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "

At Branch, we’re transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. Our Branch team consists of smart, humble, and collaborative people who value ownership over all. Everything we do is centered around creating a great product, team, and company that lives and breathes our motto: Build Together, Grow Together, Win Together. About the Role As a Data Engineer on the Attribution & Insights team at Branch, you’ll play a pivotal role in designing, building, and operating components of our highly available, real-time data platform — a system that ingests billions of events per day and delivers rich, privacy-aware attribution analytics and insights to top global brands. You’ll work at the intersection of our MMP product stack and core data infrastructure, partnering closely with platform engineers to deliver performant, cost-efficient, and resilient pipelines. Your work will enable real-time “slice and dice” analytics and power everything from campaign reporting to fraud detection, budget optimization, and LTV modeling. This is a rare opportunity to work with petabyte-scale data, push the boundaries of real-time data engineering, and learn from some of the best in the industry. What You’ll Do Architect, build, and own real-time and batch data pipelines that power attribution decisions and marketing insights. Deliver high-quality, reliable datasets for customer dashboards, fraud systems, and internal analytics use cases. Optimize ingestion and aggregation performance using tools like Flink, Spark, Kafka, and Druid. Partner with the Data Platform team to make infrastructure-level decisions that impact performance, latency, and cost. Own schema design, versioning, and deployment of datasets across Iceberg, S3, and other analytical data stores. Build and maintain robust monitoring, alerting, and self-healing mechanisms to ensure high system availability. Collaborate cross-functionally with Product, Customer Success, and Data Science to identify and deliver new data capabilities. You’ll Be a Great Fit If You Have: 5+ years + of software engineering experience, ideally in data engineering or large-scale backend systems. Proficiency in SQL and at least one backend language (Java, or Python). Understanding of distributed systems, data modeling, and real-time data processing. Hands-on experience with AWS cloud tools and big data platforms such as Kafka, Flink, Spark, Airflow, dbt, Druid. A solid grasp of data warehousing principles and familiarity with columnar storage formats (Parquet, Avro). Curiosity and drive to work with event-driven data systems that operate at massive scale. Strong communication skills and a desire to collaborate across time zones and teams. Nice to Have Experience with mobile attribution, ad tech, or analytics pipelines. Exposure to containerized deployments and orchestration tools (e.g., Kubernetes, ECS, Terraform). Comfort working with monitoring, observability, and data quality frameworks (e.g., Prometheus, Great Expectations). Interest in privacy-preserving data systems and frameworks (GDPR, SKAdNetwork, AEM, etc.). Why Join Branch Operate at global scale with real-time, petabyte-class data. Be part of a core platform that directly impacts hundreds of marketers and millions of users. Learn and grow in a fast-paced, high-ownership environment with deep mentorship. Help shape the future of a privacy-first attribution and insights platform. If you’re excited by the challenge of building reliable, real-time data systems that drive smarter marketing — we’d love to hear from you! This role will be based at our Austin, TX office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. However, we are also open to full-time remote candidates in Texas and remote employees in other locations, such as Denver, CO This role does not qualify for relocation or visa sponsorship. In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Austin, TX, is $148,000 to $181,000. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above. The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter. Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. If you think you'd be a good fit for this role, we'd love for you to apply! At Branch, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer! A little bit about us: Branch is the leading provider of engagement and performance mobile SaaS solutions for growth-focused teams, trusted to maximize the value of their evolving digital strategies. The Branch platform provides a seamless experience across paid and organic, on all channels and platforms, online and offline, to eliminate friction and drive valuable action at the moments of highest intent. With Branch, businesses gain accurate mobile measurement and insights into user interactions, enabling them to drive conversions, engagement, and more intelligent marketing spend. Branch is an award-winning employer headquartered in Mountain View, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch. Candidate Privacy Information:For more information on the data that Branch will collect through your application, and how we use, share, delete, and retain that information as part of our recruitment and employment efforts, please see our HR Privacy Policy .

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description This short-term internship assignment for a qualified college student focuses on one or two short-term IT projects to be completed and deployed within the assignment period of 3 months. It is an opportunity to utilize and correlate IT related skills learned in school in a setting that supports pharmaceutical manufacturing, namely in areas related to Quality, Manufacturing, and general user community support. Takeda Internships are designed to be both educational and practical. Interns will learn how to take skills acquired in school and apply them in a professional setting. The Intern will gain a better understanding of the work environment in a specific role and how it supports a biotech manufacturing setting to be better prepared to work in this field. The candidate will also have opportunities to work with other interns and departments. Over the course of the 12-week program, interns sharpen their skills through a variety of experiences including ownership of daily responsibilities, participation in special projects, and completion of a cross-functional community service project. Internship roles are modeled and designed to challenge interns to learn, adapt, and add value to their teams. As interns enter the program, each is assigned a peer mentor to help introduce them to Takeda’s corporate culture and values. Through formal training and on-the-job experiences, we are committed to developing interns in areas specific to their education and teamwork skills while exposing them to Takeda’s technologies, product lines and global environment. Qualifications Assist in the design, development, and maintenance of business reporting and analytics solutions, including dashboards and tools that improve visibility into site operations and business processes. Support data preparation, cleaning, and transformation activities while participating in the building and testing of data pipelines and workflows across data warehouse and pipeline management tools. Partner with cross-functional colleagues (e.g., Quality, Manufacturing, Business Excellence, IT) to gather reporting requirements and deliver actionable insights. Upon execution and/or deployment of assigned project(s), prepare a presentation to be presented to stakeholders and business partner. Provide handover of the digital solution for corresponding local and/or Global IT teams to either further develop or maintain. Job Requirements: Strong academic performance – Minimum GPA 3.0 Strong interpersonal skills. Ability to work in a team-oriented environment, often cross-functionally. Demonstrates excellent skills in oral & written communication, organization, and prioritization of tasks. Ability to work under pressure and meet deadlines. Demonstrated knowledge in Microsoft Word, Excel, and Power Point software. Required skills/tools: Microsoft Office, Adobe Acrobat, Windows PowerShell, Command Prompt and basic hardware/peripheral usage. Languages (all not required): SQL, Python, HTML/CSS/SCSS, Dax, QlikScript, C# and C++. also see list below. Nice to have skills/tools: Power BI, QlikSense, RPA Automation, Power Automate, GitHub, SourceTree, ReactJS, NumPy, Axios, Firebase, FileZilla, Figma, Postman, Trello, Teams. Education High school diploma or equivalent required. Current sophomore and junior year students strongly preferred or senior transferring to a masters or PHD program. Applicant must be pursuing degree in Computer Sciences Information Technology, Chemical Engineering, Biomedical Engineering, or Biochemistry. Internship Eligibility Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship Must be currently enrolled in a degree program graduating December 2026 or later The internship program is 10-12 weeks depending on the two start dates (May 26 th -August 14 th or June 15 th - August 21 st ) The intern must be able to commit to one of these time frames Able to work full time 40 hours a week during internship dates Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program Program Highlights: Hands-on experience with real projects and responsibilities Dedicated mentorship program pairing interns with experienced professionals Networking opportunities with industry professionals and fellow interns Internship events focused on professional and skills development Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications will be accepted between November 7 th - January 2nd Takeda Compensation and Benefits Summary We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees , and we strive to be more transparent with our pay practices. For Location: USA - CA - Los Angeles U.S. Hourly Wage Range: $2 1 .00 - $ 46 .00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year /level to be entered following completion of internship . The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location . U.S. internship benefits vary by locati on and may include: Paid sick time Civic Duty paid time off Participation at company volunteer events Participation at company sponsored special events Access to on-site f itness c enter (where a vailable ) Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations USA - CA - Los Angeles Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job Exempt No