Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Description Hi, We’re AppFolio We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps—enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio’s Business Data Platform’s observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity ; however, you can find out more about our locations by visiting our website . Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here . #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That’s why we’re a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you’re always welcome at AppFolio.

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 Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Global Development. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. This position requires up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Global Development is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Global Development organization. This role ensures that high-value internal and external development data assets—including protocol, study design, operational, regulatory, disclosure, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Global Development Data Science teams, Clinical Development, Operations, and Regulatory stakeholders, as well as the broader Data Strategy & Products organization, this leader ensures that Global Development data products are AI-ready, semantically consistent, and interoperable, enabling trial efficiency, regulatory readiness, and improved compliance outcomes. Key Responsibilities : Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Development use cases (e.g., study startup, TMF metadata, operational KPIs, submission readiness). Define and maintain a roadmap for Global Development data products, spanning protocol development through clinical trial disclosure. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and external partners. Integrate internal and external Global Development data sources, including CRO-provided datasets, performance benchmarks, and regulatory datasets. Ontology & Semantic Modeling Contribute to the development and governance of a Global Development Ontology to enable semantic consistency across operational and regulatory domains. Align Global Development Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, HL7 FHIR, etc ). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance , and Master Data Management teams to ensure Global Development data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Global Development stakeholders—including Clinical, Regulatory, Medical Writing, QA, and Safety—to co-create solutions that maximize the value of development data assets. Interface with regulatory and compliance teams to ensure data products meet submission, disclosure, and transparency requirements. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Development domain experts. Establish governance models, agile delivery processes, and value-tracking metrics for Global Development data products. Value Realization & Communication Define and track KPIs to measure the impact of data products on study startup times, operational insights, and regulatory compliance. Communicate product vision, roadmap, and value realization to Global Development leadership, Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Development organization. Strategic Impact The Director, Data Products – Global Development ensures Global Development data is transformed into trusted, AI-ready products that accelerate study startup, improve operational insights, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Development data as a strategic asset that enables trial efficiency, compliance, and innovation across Janssen R&D. Qualifications Education PhD or Master’s in informatics , computer science, life sciences, or related discipline. 8+ years of experience in pharma/biotech R&D with focus on clinical development, operations, regulatory, or data product management. Strong track record in data product development, integration, or semantic modeling in a regulated domain. Experience working with multi-modal development data, including clinical trial, protocol, operational, submission, and disclosure datasets. Skills & Expertise Deep knowledge of Global Development processes, clinical trial design, and regulatory requirements. Deep knowledge of data products, database design, data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., CDISC, FHIR, ICH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. 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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $161,000 to $276,000 USD 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

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 Science Job Category: People Leader All Job Posting Locations: Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are searching for the best talent for Director, R&D Data Science, Data Products- Global Regulatory Affairs. Purpose: The Director, Data Products- Global Regulatory Affairs is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Global Regulatory Affairs organization. This role ensures that high-value internal and external regulatory data assets - including submission data, health authority correspondence, product labelling, regulatory intelligence, and real-world data (RWD/RWE) - are standardized, productized, and integrated into J&J's enterprise R&D data ecosystem. Working closely with Global Regulatory Affairs teams, Submission Management, Regulatory Operations, and Data Science stakeholders, this leader ensures that Global Regulatory Affairs data products are AI-ready, semantically consistent, and interoperable, enabling submission efficiency, enhanced compliance, and accelerated approvals. You will be responsible for: Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Regulatory Affairs use cases (e.g., submission planning, health authority commitment tracking, labelling management, regulatory intelligence analysis). Define and maintain a roadmap for Global Regulatory Affairs data products, spanning pre-submission activities through post-market surveillance. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and with health authorities. Integrate internal and external Global Regulatory Affairs data sources, including health authority databases, regulatory intelligence feeds, and submission archives. Ontology & Semantic Modelling Contribute to the development and governance of a Global Regulatory Affairs Ontology to enable semantic consistency across submission, compliance, and intelligence domains. Align the Global Regulatory Affairs Ontology with enterprise metadata standards and external frameworks (e.g., ICH, IDMP, eCTD). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Global Regulatory Affairs data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogues. Collaborate with Global Regulatory Affairs and Data Science & Digital Health stakeholders to co-create solutions that maximize the value of regulatory data assets. Interface with technology and compliance teams to ensure data products meet global submission standards, transparency requirements, and health authority regulations. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Regulatory Affairs domain experts. Establish governance models, agile delivery processes, and value-tracking metrics for Global Regulatory Affairs data products. Value Realization & Communication Define and track KPIs to measure the impact of data products on submission timelines, compliance risk reduction, and operational efficiency. Communicate product vision, roadmap, and value realization to Global Regulatory Affairs leadership, Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Regulatory Affairs organization. Strategic Impact The Director, Data Products- Global Regulatory Affairs ensures Global Regulatory Affairs data is transformed into trusted, AI-ready products that accelerate submissions, enhance compliance, and provide critical regulatory insights. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Regulatory Affairs data as a strategic asset that enables submission excellence, proactive compliance, and innovation across J&J R&D. Qualifications / Requirements: Education PhD or Master's in informatics, computer science, life sciences, or related discipline. Experience 8+ years of experience in pharma/biotech R&D with a focus on Global Regulatory Affairs, regulatory operations, regulatory technology, or data product management. Strong track record in data product development, integration, or semantic modelling in a regulated domain. Experience working with multi-modal regulatory data, including submission, labelling, intelligence, and compliance datasets. Skills & Expertise Deep knowledge of Global Regulatory Affairs processes, submission pathways (e.g., eCTD), and global health authority requirements. Deep knowledge of data products, database design, and data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., IDMP, xEVMPD, ICH, eCTD). Strong leadership, collaboration, and communication skills, with the ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Other This position has a primary location of Spring House, PA but is also open to Titusville, NJ. This position requires up to 25% travel. 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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LIHybrid #JNJDataScience #JNJIMRND-DS Required Skills: Data Product Management, Global Regulatory Submissions Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Leadership, Ontology, Program Management, Semantic Modeling, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : The anticipated base pay range for this position is $164,000 to $282,900 USD. 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

ABOUT TRUVIAN Want to work for a fast-paced and disruptive company that is working to revolutionize blood testing? Truvian is a healthcare company at the intersection of diagnostics and consumer tech. We are developing an automated, benchtop diagnostic system to provide lab-accurate results in 30 minutes for a comprehensive suite of health tests. Our proprietary approach, for which we are seeking FDA clearance, is intended to fulfill the promise of delivering accessible and affordable blood testing from one small blood sample, in minutes, in a retail setting or private clinic. To us, our work at Truvian is more than a job – It’s a mission. We are a culture dedicated to discovery and empowerment. We are trailblazers on the path to put health information where it belongs - in the hands of the individual. We are partners in the belief that talented people, working as a team, can make every day an adventure. Come join us as we realize our vision to make routine health testing convenient, affordable, and actionable for today’s connected consumers! JOB SUMMARY Truvian is seeking a strategic and technically adept Director, Clinical Data Management & Data Science build and lead a multidisciplinary team responsible for clinical data strategy, management, analytics, and statistical sciences. This role is pivotal in ensuring data integrity, regulatory compliance, and operational efficiency across the product lifecycle—from early research through regulatory submission and post-market surveillance. This position is ONSITE. The Director will architect and scale Truvian’s clinical data ecosystem — spanning database design, data pipeline integration, clinical data quality, statistical analysis, and data visualization — to support assay validation, regulatory submissions, and real-world evidence generation. The ideal candidate combines strategic leadership with hands-on technical expertise in biostatistics, clinical data systems, and data science for diagnostics. This role requires in-depth expertise in the IVD industry, including knowledge of FDA regulations (21 CFR Part 11, Part 820), and a proven ability to lead data initiatives in a regulated environment. HERE’S WHY YOU WILL LOVE THIS ROLE Unique Growth Opportunity: Gain hands-on experience across clinical studies, data analysis, regulatory submissions, and product development. Data-Driven Innovation: Work alongside experienced leaders, contributing to real-world healthcare solutions backed by rigorous data. Fast-Paced Start-Up Culture: Be part of an agile, mission-driven team where your work has immediate impact. Professional Development: Receive mentorship and opportunities to expand your technical and industry knowledge. Meaningful Impact: Help bring innovative diagnostic products to market that can improve patient outcomes. You love and thrive in a fast-paced and dynamic environment where you can implement fresh ideas, new processes, and make things happen quickly without a bunch of red tape You’ll have great perks such as: Generous Benefits (Medical/Dental/Vision/EAP/Paid Life Insurance/LTD/401K), Flexible vacation Kombucha and cold brew on tap, craft coffee, and a variety of healthy snacks WHAT YOU WILL DO Strategic Leadership Develop and execute a unified, robust, and scalable data strategy to support clinical trials, R&D studies, and regulatory submissions. Build and mentor a high-performing team of data managers, database programmers, biostatisticians, and data scientists. Serve as a senior advisor to Clinical, R&D, and Regulatory leaders on data architecture, analytics, and evidence strategies. Ensure alignment of data architecture with business goals and regulatory requirements. Data Infrastructure and Systems Development Lead the design, integration, and governance of clinical databases and data pipelines from the ground up. Oversee implementation and validation of EDC systems, LIMS, and data warehouse tools to harmonize internal and CRO data sources. Guide the creation of user-friendly tools for data input, extraction, and analysis across teams. Ensure compliance with 21 CFR Part 11, GCP, HIPAA, and other applicable data regulations. Hire, mentor, and manage a team of data professionals to support clinical and R&D initiatives. Clinical Data Management Establish SOPs, standards, and templates for data collection, cleaning, reconciliation, and database lock. Direct data management activities for clinical studies, ensuring data quality, completeness, and traceability. Collaborate with CRO partners and central labs to ensure consistent data flow and integrity. Biostatistics & Data Science Provide strategic direction for statistical design, analysis, and interpretation of clinical and analytical validation studies. Oversee development of statistical analysis plans (SAPs) and ensure robustness of models and results. Guide exploratory and confirmatory data analyses, leveraging both traditional biostatistics and modern data science/ML techniques. Drive the development of data visualization dashboards and analytic tools to support real-time decision-making. Cross-Functional Collaboration Partner with Clinical Operations, Regulatory Affairs, Quality, and Product Development teams to ensure alignment of data strategy with business goals. Support regulatory submissions (FDA, IVDR) through clear, validated, and reproducible data outputs. Translate complex data analyses into compelling, clear narratives for scientific and regulatory audiences. WHAT YOU WILL BRING Required: Master’s or PhD in Biostatistics, Data Science, Biomedical Informatics, or related quantitative field. Minimum of 10 years of experience in clinical data management, biostatistics, or data science roles within diagnostics, medical devices, or pharmaceuticals Minimum of 5 years of management and leadership experience Proven experience building and leading data teams (data management, biostatistics, and informatics) from the ground up in a regulated environment. Demonstrated ability to design and integrate clinical databases and data pipelines across multiple systems and vendors. Strong command of SQL and relational databases (e.g., PostgreSQL, MS SQL Server). Deep understanding of FDA regulations, including 21 CFR Part 11, Part 820, GCP, ICH E6, and regulatory requirements for IVD data. Familiarity with EDC systems (Medidata, REDCap, etc.), data visualization tools (Tableau, Spotfire, Power BI), and data standards (CDISC/SDTM, HL7/FHIR). An analytical mindset with strong attention to detail and the ability to draw meaningful insights from complex datasets. Proactive, self-motivated, and eager to take ownership of tasks and learning opportunities. Exceptional communication skills and ability to translate complex statistical concepts and data into clear, actionable insights for technical and non-technical audiences. Comfortable working in a fast-paced, start-up environment with shifting priorities. Preferred: Knowledge of cloud platforms (AWS, Azure) and data governance frameworks. Startup or small-company experience building infrastructure from scratch Prior experience supporting FDA submission data requirements for IVDs (e.g., 510(k), PMA, EUA). SALARY RANGE $196,000 - $216,000 This range encompasses the diverse set of factors considered in making compensation decisions, including, but not limited to, experience, skills, knowledge, abilities, education, licensure, certifications, and other business and organizational needs. Salary offers are determined based on final candidate qualifications and experience. Placement within the compensation range is determined by internal equity and relevant qualifications. HOW TO STAND OUT Interested candidates are encouraged to submit a cover letter along with their resume. The cover letter is an excellent opportunity to share how your experience aligns with our mission, your approach to collaboration, and how your statistical expertise can support innovation in IVD assay development. Equal Opportunity Statement Truvian provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Powered by JazzHR

About this role: Wells Fargo is seeking a talented Senior Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL). In this role, you will support stakeholders across the organization by delivering data‑driven insights that deepen our understanding of consumer and business lending customers. You will work closely with marketing, product, and strategy teams to mine data, build reports, and analyze trends that inform key business decisions. In this role, you will: Conducting data mining and exploratory analyses to identify customer trends within consumer and small business lending portfolios. Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; Building clear, actionable dashboards and reports that communicate performance drivers and marketing outcomes. Supporting research initiatives that evaluate end‑to‑end marketing performance and generate customer insights. Continuously improving analytics methods, reporting processes, and data quality to enhance the impact of marketing and customer insights. Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels Required Qualifications: 4+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources. Demonstrated history building data pipelines and using Tableau to create dashboards. Proficiency in Structured Query Language (SQL) and Python and other statistical programming languages. Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams. Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines. Strong analytical skills, with experience using data and insights to inform marketing decisions. Strong written and verbal communication skills. Job Expectations: Ability to travel up to 10% of the time. This position offers a hybrid work schedule Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $224,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan Paid time off Disability benefits Life insurance, critical illness insurance, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 30 Jan 2026 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR—and it’s the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you’re passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR’s mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We’re looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring. Build and optimize data processing workflows in Databricks , AWS SageMaker , or similar cloud platforms. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference. Implement data quality, observability, and lineage tracking within the ML lifecycle. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads. Ensure adherence to CR’s data governance, security, and compliance standards across all AI and data workflows. Work with Product, Engineering and other stakeholders to define project requirements and deliverables. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage. ABOUT YOU You’ll Be Highly Rated If: You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads. You have the education. You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field. You have programming skills. You are skilled in Python , SQL , and have experience with Py Spark on large-scale datasets. You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery. You have experience with Data and AI/ML platforms such as Databricks , AWS SageMaker or similar. You have experience working with Kubernetes on cloud platforms like - AWS , GCP , or Azure . You'll Be One of Our Top Picks If: You are passionate about automation and continuous improvement. You have excellent documentation and technical communication skills. You are an analytical thinker with troubleshooting abilities. You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges NY/California: $120K-$140K annually DMV/Massachusetts: $115K-$135K annually Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

About Terra AI We are building the state-of-the-art AI platform for the discovery and development of clean energy and mineral resources. We bring the most advanced techniques in generative AI, foundation modeling, and autonomous decision optimization to tackle the most important problems in the geosciences. These systems can help more reliably identify critical resource deposits, more rapidly measure and characterize them, and design more efficient and sustainable production plans. We are backed by Khosla Ventures and other leading venture investors. We are now looking to grow our team from ~15 to ~30 by the end of the year to continue to mature our technology and support deployment with our world-class mineral and clean energy partners. Role Own customer data ingestion and build QA/QC workflows that make messy, real-world geoscience data usable at scale. This role blends hands-on GIS execution with data engineering. You will run GIS workflows for projects while also building automation to reduce manual work and improve repeatability. What you’ll do Run project GIS workflows Prepare, curate, and serve complex client datasets across surface GIS and 3D subsurface contexts. Use GIS tools day to day to assemble layers, validate spatial alignment, and produce project outputs. Create high-quality maps and figures for internal review and client deliverables, including cartographic polish when needed. Build ingestion and QA/QC systems Ingest and normalize datasets such as: Drillhole and drill core data (major focus) Airborne and other geophysical survey datasets Supporting geospatial layers and project metadata Standardize disparate client formats into a unified framework to support modeling workflows. Build automated QA/QC checks that catch issues early, including: Coordinate reference systems and transformations Units, conventions, missingness, duplicates, and outlier detection Schema validation, metadata sanity, provenance tracking Cross-dataset consistency checks (for example, collars vs surveys vs intervals) Create reproducible ingestion pipelines that reduce manual work and shorten time-to-first-model. Act as a primary liaison for geology and ML teams, providing spatial analysis and visual validation of outputs against client-provided datasets. Document standards and build tooling that is usable by other engineers and scientists. Requirements Formal training and hands-on experience in GIS, geospatial data science, geoscience data systems, or a closely related discipline. Strong practical ability with messy data, including building pipelines, validations, and repeatable transformations. Proficiency with modern GIS software. Experience with QGIS and/or ArcGIS Pro is strongly preferred. Experience with spatial data administration: coordinate system transformations, managing large datasets, and working with spatial databases. Ability to build in Python for data workflows. Nice to have Experience producing publication-quality technical figures (Adobe Creative Suite or similar). Familiarity with subsurface or geo-modeling tools (Leapfrog, SKUA GOCAD, Mira Geoscience Analyst, or similar). Experience with drillhole data standards and common exploration formats. Experience with geophysical datasets and processing concepts. Experience designing QA/QC systems where wrong data has real cost.

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 Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Oncology is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Oncology Therapeutic Area (TA). This role ensures that high-value internal and external Oncology data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Oncology TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Oncology data products fill business requirements, such as being AI ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Oncology-facing data products. Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Oncology data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Oncology Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Oncology Data Science , clinical, translational, and commercial Oncology stakeholders to co-create solutions that maximize the value of Oncology data assets. Interface with regulatory and compliance teams to ensure Oncology data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Oncology datadomain expertsaimed at delivering data products to Oncology. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Oncology data products. Value Realization & Communication Define and track KPIs to measure the impact of Oncology data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Oncology leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Oncology TA. Strategic Impact The Director, Data Strategy & Products – Oncology TA is responsible to ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Oncology data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Oncology is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Oncology research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. 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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. 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

Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're pioneers in cloud and AI who deliver magical experiences that make our customers' lives easier. We're revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps-enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're pioneers in cloud and AI who deliver magical experiences that make our customers' lives easier. We're revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps-enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely , the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services. Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool , Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, LinkedIn, YouTube, and Pinterest. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. About this position: Later’s biggest opportunity in the creator economy is turning our unique, multi-source creator data into meaningful intelligence that drives better outcomes for brands, creators, and our internal teams. As Principal Product Manager, Data Product & Data Science , you will own the strategic data product roadmap that powers how creators are understood, evaluated, and matched to the right brand opportunities. This is a net-new, highly visible role reporting directly to the Chief Product Officer. You will operate at the intersection of product strategy, data engineering, data science, and go-to-market teams—shaping how raw data becomes trusted signals, differentiated insights, and defensible competitive advantage across Later’s platform, agency, and services offerings. What you'll be doing: Strategy Own and evolve the end-to-end creator data product strategy , spanning data acquisition, enrichment, modeling, quality, and insight generation. Define and maintain a long-term roadmap that improves the breadth, depth, freshness, and reliability of creator and audience data across all internal and external sources. Identify high-leverage data opportunities that unlock differentiation for Sales, Strategy, and Agency teams—turning data into a compelling narrative brands can buy into. Translate ambiguous business problems into clear data product bets, success metrics, and sequencing decisions. Technical/ Execution Partner closely with Data Engineering and Data Science to shape schemas, pipelines, models, and feature sets that support scalable data products. Drive improvements to creator-level data including (but not limited to): social content signals, audience attributes, campaign performance metrics, Link in Bio behavior, commerce outcomes, and historical brand partnerships. Define and track a Data Quality Score and related KPIs that quantify completeness, accuracy, timeliness, and usability. Work hands-on with datasets using SQL and analytics tools to validate assumptions, explore opportunities, and pressure-test solutions. Guide development of data-derived insights that improve brand–creator matching, campaign planning, and performance prediction. Team / Collaboration Serve as a trusted product partner to Strategy, Sales, Agency/Services, Search, Campaigns, Reporting & Analytics, and Platform Services teams. Align cross-functional stakeholders around shared definitions, priorities, and tradeoffs for data initiatives. Act as the connective tissue between technical teams and business leaders—ensuring data products are both technically sound and commercially meaningful. Influence without authority, using clarity, data, and strong product judgment to move teams forward. Leadership Set a high bar for data product thinking, rigor, and storytelling across the Product organization. Mentor other product managers on data literacy, experimentation, and outcome-oriented product discovery. Champion a culture of curiosity, accountability, and customer-driven decision-making. Research/Best Practices Stay ahead of emerging trends in data products, applied ML, creator analytics, and measurement. Continuously assess new data sources, modeling approaches, and tooling that could strengthen Later’s competitive position. Bring external best practices into the organization while adapting them to Later’s scale and business model. What success looks like: Measurable improvement in creator data quality, coverage, and freshness , reflected in a consistently rising Data Quality Score. Internal teams trust and actively use creator data to make decisions about matching, pricing, strategy, and campaign design. Brands see clearer differentiation in how Later helps them identify the right creators—not just popular ones—for their goals. Sales and Strategy teams are equipped with data-backed stories that elevate conversations from execution to insight. Product, Data Engineering, and Data Science teams operate with shared clarity on priorities, metrics, and outcomes. What you bring: 8+ years of product management experience, with meaningful ownership of data-heavy or platform-level products . Demonstrated experience building or scaling data products , not just dashboards—schemas, pipelines, signals, or models that power downstream use cases. Hands-on comfort with data tools and concepts (e.g., SQL, BigQuery, analytics workflows) and the ability to engage deeply in the details. Experience working alongside data science teams on algorithms, modeling, or applied ML—even if you were not the primary model builder. A proven ability to zoom out to the strategic narrative and zoom in to the weeds when necessary. Strong stakeholder management skills and a track record of influencing senior leaders in ambiguous environments. Nice to have: Experience at a data-first or analytics-driven company. Exposure to social platforms, creator economy products, advertising technology, or agency environments. Familiarity with programmatic advertising, marketplace dynamics, or matching/recommendation systems. How you work: Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear. Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights. Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement. Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high. Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth. Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity. Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: $210,000 - 250,000 OTE #LI-Hybrid Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. Diversity, inclusion, and accessibility: At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit . We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer . All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

This role is with FanDuel . FanDuel uses RippleMatch to find top talent. ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on itFanDuel is looking for a Data Science Intern who will join and support the centralized Data Science team. In this role you will support the development and implementation of advanced models focused on enhancing customer experiences, while deepening the understanding of user behavior across marketing, product, and analytics. Some level of experience in personalization methods, ranking algorithms, and applied machine learning is highly valued. This role requires the ability to take ownership of open-ended, ambiguous problems, evaluate multiple approaches, and support with the delivery of production-ready solutions that directly impact the customer journey. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Support with the development and deployment of machine learning models to drive personalized recommendations and user experiences across business units Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer Support projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making Support the integration and deployment of cross-functional and cross-organizational projects, developing process improvements Stay up to date on the latest advancements in data science and leverage cutting edge technology Learn from, brainstorm with, and enable others within the DS team and broader Data organization THE STATS What we’re looking for in our next teammate Required Qualifications: Must be planning for bachelor's degree completion between August 2026 –June 2028, in a technical or STEM field e.g., computer science, natural science, Machine Learning, Engineering, applied physics, MIS, etc. Analytical and quantitative skills, with proficiency in Python and SQL Must have U.S. Work Authorization and does not require employer sponsorship now or in the future Must be in commutable distance from or willing to relocate to designated office• Must be willing to be in office 2+ times per week Preferred Qualifications: Expected Master’s degree completion between August 2026-June 2027, in a technical or STEM field Prior classroom or workplace experience related to data science Knowledge of computer science fundamentals Experience with machine learning modeling Able to communicate technical concepts simply and successfully, to both technical and non-technical audiences Experience working well in a team-oriented environment Prior experience working in a heavily regulated industry is beneficial Other: Excited to learn about building and using models to help create production level products and tools You take ownership for your tasks and see features through from start to finish PLAYER BENEFITS We treat our team right FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

Firm Overview: Cambridge Associates (“CA”) is a leading global investment firm. CA’s goal is to help endowments & foundations, pension plans, and ultra-high net worth private clients implement and manage custom investment portfolios that generate outperformance so that they can maximize their impact on the world. Cambridge Associates delivers a range of services, including outsourced CIO, non-discretionary portfolio management, and investment consulting. Headquartered in Boston, Massachusetts, CA has offices in key markets in North America, the United Kingdom, Europe, Asia, and Oceania. Our worldwide teams ensure our clients benefit from decades of global presence, local expertise, and relationships with the top global investment managers across the world. For more information, please visit www.cambridgeassociates.com . Job Description Summary: THE OPPORTUNITYData Analyst Internship ProgramPOSITION SPECIFICSLocation of Position: Boston, MAProgram Length: 10-week program from early June to mid-August (open to rising juniors and seniors: Class of 2026 &2027)Required for Application: ResumeOffice Requirement: Intern is expected to work in their assigned office at least 4 days per week with the option to work from home 1 day per weekExpected Hours: Interns are expected to work 40 hours per weekBase Pay/Salary: Boston, MA: $25 / hour and additionally, offer includes sign-on bonus. Job Description: DATA ANALYST INTERNSHIP PROGRAM The Data Office at Cambridge Associates is seeking motivated and curious interns to join our team for a 10-week summer program. This is an exciting opportunity to gain hands-on financial services domain knowledge and experience in business and data analysis, data governance, data engineering, and development work that supports our enterprise data initiatives. Interns will work closely with the Chief Data Officer and Data Office team on projects that drive data governance, data quality, master data management (Security Master), and the development of our Snowflake Data Platform. You will be exposed to real-world challenges in data management, analytics, and technology, and will contribute to projects that have a meaningful impact on our organization’s data strategy. This program is designed for students who are eager to learn, collaborate, and develop foundational skills for a career in data and analytics. Responsibilities: Collaborate with Data Office professionals on projects related to business analysis, data governance, data engineering, and development. Support the development and enhancement of the Data Platform, including data integration and automation tasks. Assist in the business and data analysis, design, testing, and implementation of data quality and master data management solutions. Analyze and document business and data requirements for data-related initiatives. Participate in data profiling, data cleansing, and data validation activities. Contribute to the creation of dashboards, reports, and data visualizations to support decision-making. Engage in team meetings, planning sessions, and code reviews. Communicate findings and progress clearly to both technical and non-technical stakeholders. Take part in self-guided learning and training sessions to build technical and business knowledge. We Offer: Mentorship from experienced Data Office professionals and the Chief Data Officer. Exposure to enterprise-level data management, governance, and engineering practices. Networking opportunities with leaders across the organization and with other interns. Participation in intern-specific events, employee resource groups, and service council activities. Access to online learning platforms and resources for self-directed skill development. A collaborative, inclusive, and supportive work environment. Qualifications: Current enrollment in a Bachelor’s degree program, ideally in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field. Strong analytical and problem-solving skills with passion solving complex problems through data Interest in data management, data engineering, or business analysis. Basic programming experience (Python, SQL, or similar languages preferred). Interest in learning about finance and investment management. Eagerness to learn new technologies and concepts. Effective communication and teamwork skills. Ability to work in a hybrid environment (Boston office). Proactive, detail-oriented, and organized. Must be eligible to work in the US without sponsorship or restriction now and in the future How to Apply: Submit your resume and a brief cover letter describing your interest in data, technology, and how this internship aligns with your career goals. Base salary range for this role: Pay Range Minimum: 0 Pay Range Maximum: 0 In addition to the listed salary range, this position is eligible for an annual performance-based bonus and a comprehensive, competitive benefits package. Actual placement within the stated salary range will be determined based on factors such as skills, experience, and qualifications, as well as internal equity. The firm is committed to the concept and practice of equal employment opportunity and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.

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 Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Director, R& D Data Science & Digital Health, Real-World Evidence (RWE) Advanced Analytics The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include: Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders. Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence. Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery. Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries At least 5 years of experience as a people manager Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Expertise in drug development and experience working in a matrixed organization Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments 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 and 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 email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS#JNJDataScience#JRD Required Skills: Preferred Skills: The anticipated base pay range for this position is : Applicable Pay Range $160,000 - $276,000 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be 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. * Employees may be 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. * Employees are eligible for the following time off benefits: –* Vacation – up to 120 hours per calendar year –* Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year –* Holiday pay, including Floating Holidays – up to 13 days per calendar year –* Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets. Nightwing is supporting a U.S. Government customer on a large mission critical development and sustainment program to sustain and operate a network operations environment, including introducing new cyber capabilities to address emerging threats. Cyber Offense and Defense Experts (CODEX) is seeking a skilled Full Stack Developer with expertise in AWS Cloud development, stage and production environments. This role involves contributing to the design, development, and deployment of advanced cybersecurity capabilities to support CISA's mission today and into the future. Responsibilities may include, but are not limited to : Infrastructure Engineering: Design, test, and implement advanced cybersecurity software capabilities as a key contributor within Agile Scrum teams. Support risk assessments and recommend risk mitigation strategies as required. Full Stack Development: Develop automated unit tests and debug thoroughly to ensure reliable, high-quality code. Collaborate on Deployment, DevOps, and CI/CD processes to optimize pipelines and streamline workflows. Establish and interpret monitoring systems for CI/CD processes to ensure operational effectiveness. Qualifications: U.S. Citizenship is required Must have an active Secret clearance with the ability to obtain DHS suitability Must be able to obtain a TS/SCI Clearance 8+ years of software development experience required Minimum 2+ years with AWS SageMaker, Apache Zeppelin Minimum 3+ years of Agile full stack infrastructure engineering experience with a focus on production AWS environments. Desired Skills: Experience with Databricks Notebooks and Visualization Experience with AWS Lambda (Python) Proven ability as a Full Stack Developer with experience in Agile/Scrum development methodologies. Automated remediation expertise for security vulnerabilities. Familiarity with: CISA Guidance: Securing the Software Supply Chain. Open-Source Software Security. General Cybersecurity Best Practices. NIST Frameworks: NIST SP 800-218 – Secure Software Development Framework. Technical Expertise: Knowledge of automated solutions using Ansible. Desired Certifications: Cloud Certification: AWS Certified Cloud Practitioner. Cybersecurity Certifications: DoD 8570.1 IAT Level II or CSSLP. Required Education: Bachelor’s degree in Software Engineering, Computer Science or a related discipline is required. [Ten (10) years of experience (for a total of eighteen (18) or more years) may be substituted for a degree.] Syndeo: 3500 At Nightwing, we value collaboration and teamwork. You’ll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we’ll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients. Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team. Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications Join KLA’s Service Supply Chain team as a Summer Intern in Machine Learning ! Our service supply chain supports a wide range of spare parts—from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes. As an intern, you will: Build a graph representation of KLA’s spare parts demand network to enable predictive modeling and other advanced analytics. Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand. Explore and apply graph-based approaches for network representation and prediction. Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal. Collaborate with the supply chain and planning teams to integrate findings into actionable strategies. Utilize Linux command line tools and scripting for data processing and workflow automation. This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges. Minimum Qualifications Preferred Qualifications Strong proficiency in Python programming. Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras). Familiarity with graph theory and its applications in machine learning is a plus. Comfort with Linux command line and basic scripting. Solid understanding of probability, statistics, and data analysis and visualization . Ability to communicate technical concepts clearly to both technical and non-technical audiences. Minimum Qualifications Enrollment in a graduate program (Master’s or Ph.D.) in a relevant field. Demonstrated experience in developing and applying machine learning models. Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control). Ability to learn new tools and technologies quickly. Collaborative mindset and willingness to work in a team environment. Base Pay Range: $0.00 - $0.00 Per HourPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Department: 85032 Wake Forest University Health Sciences- Academic Biostatistics and Data Science Status: Full time Benefits Eligible: Yes Hou rs Per Week: 40 Schedule Details/Additional Information: Monday- Friday 8-5 pm Pay Range $33.05 - $49.60 JOB SUMMARY Under administrative review, performs management level work directed toward the planning, implementation and coordination of one or more major programs for an association, non-profit or similar organization. Provides analysis, financial accounting, team facilitation and recommendations to ensure timely project completion and compliance with sponsor requirements. The Jackson Heart Study Coordinating Center (JHS CC) manages 8 subcontracts in addition to over 30 ancillary studies, with more expected over the coming years. JHS is responsible for providing data to investigators with an approved ancillary study or manuscript and each data request requires a fully executed Data Management Data Agreement (DMDA) which is renewed annually. This individual will serve as the liaison to outside investigators and in that role will develop budgets and monitor ancillary proposals, ensure data has been distributed to outside investigators appropriately, execute and manage subcontracts. He/she will provide monthly financial accounting and work with the study team to ensure all deliverable deadlines as outlined in the contract are met. EDUCATION/EXPERIENCE Bachelor's degree and three years of relevant experience or equivalent combination. Master's degree in Health Administration, Business Administration or related field preferred. Three years' experience in project management, program management development, administration or supervisory experience required. ESSENTIAL FUNCTIONS Manages and oversees the planning, implementation, coordination and evaluation of major projects. Assumes major responsibility for coordinating the successful and timely completion of the tasks within projects. Manages and/or implements all operational policies and procedures related to the functioning of the program. Prepares periodic analyses and reports reflecting progress and trends of on-going projects/programs. Identifies and anticipates potential issues and risks. Makes suggestions for improvement and implements as appropriate. Tracks, evaluates, and interprets collected financial data. Manages the preparation of progress reports and quality control monitoring. Participates in the analysis of study data and the writing of sponsor progress and financial reports. Drafts financial, statistical, narrative, and/or other reports as requested. Makes recommendations based on these findings Assists in the administration of the departmental budget by tracking expenditures and performing other financial tasks. Verifies deduction authorizations to ensure correct input. Assumes responsibility for the outcome of the program(s). Assists and supervises support personnel. Manages data for applicable databases to produce outcomes information for quality reporting and operational initiatives. Provides guidance to others. Designs forms, newsletters, web pages and other tools as appropriate to ensure the success of assigned projects. Serves as the program liaison, spokesperson and representative. Arranges, implements, and facilitates team meetings to achieve results. Attends meetings with appropriate staff and faculty as necessary to provide and gather information. Promotes a cooperative work environment by utilizing communication skills, interpersonal relationships and team building. Ensures that all aspects of the projects are conducted in accordance to the sponsor requirements, study contract and timelines. Ensures compliance with institutional and sponsor regulations and guidelines. SKILLS/QUALIFICATIONS Excellent oral and written communication skills Previous supervisory experience Solid interpersonal skills to effectively build relationships with business partners across departments and facilitate work among teams Strong analytical and critical thinking skills Strong PC background in computer spreadsheets systems and presentation packages Skilled problem solver who can work independently Ability to manage special projects, work under pressure, meet deadlines Customer service orientation Strong presentation skills to effectively persuade and influence in order to achieve desired outcomes with diverse clientele WORK ENVIRONMENT Clean, well-lit, comfortable office setting Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including: Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training Premium pay such as shift, on call, and more based on a teammate's job Incentive pay for select positions Opportunity for annual increases based on performance Benefits and more Paid Time Off programs Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability Flexible Spending Accounts for eligible health care and dependent care expenses Family benefits such as adoption assistance and paid parental leave Defined contribution retirement plans with employer match and other financial wellness programs Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation’s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS) , Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Status: Full time Employee Type: Faculty