• Conduct analyses of passive acoustic datasets to support detection, classification, and localization of cetaceans • Characterize cetacean vocalizations and evaluate behavior, occurrence, abundance, seasonality, and habitat relationships • Develop and validate automated detection and classification approaches, including call-level annotation and manual validation • Analyze datasets collected from multiple platforms, including: Long-term stationary recorders, Towed hydrophone arrays, Drifting acoustic recorders, Autonomous systems (e.g., Seagliders) • Apply statistical and quantitative approaches to support stock assessments and ecological analyses • Support Seaglider and advanced acoustic analyses, including: Classification of cetacean sounds to species where possible, Validation of automated classifiers through manual review, Application of sound propagation models using Python and cloud-based tools • Process acoustic datasets for analysis, including: Conversion of raw data formats into usable files (e.g., WAV), Debugging problematic data files, Performing quality assurance and quality control checks • Archive and manage datasets, including: Storage on program and cloud servers, Preparation for submission to NCEI, Maintenance of dataset logs and issue tracking • Maintain and update acoustic metadata databases (e.g., TETHYS, Makara, NCEI), including uploading and quality-checking detection and classification data • Conduct quantitative soundscape analyses, including computation of ambient noise metrics and evaluation of trends across multiple temporal scales • Maintain logs of datasets analyzed, analytical methods, outputs, and issues encountered • Maintain analysis code and workflows in repositories such as NMFS GitHub Enterprise • Assist with preparation of technical reports, manuscripts, presentations, and data visualizations • Participate in meetings, workshops, and conferences to present progress and support collaboration

Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research. Organization: Enterprise Analytics Job Summary: Working under occasional guidance in the Department of Enterprise Analytics, responsible for all aspects of analytics to meet the needs of our partners. Provides a single point of contact for our partners in defining scope and objectives. Follows the analytics problem-solving methodology. Develops work plans to ensure analytics are completed accurately and on time. Gathers and integrates appropriate data, conducts analyses, chooses appropriate output/visualization, and communicates findings effectively. Follows data stewardship and data governance practices to ensure all data assets are of the highest quality. Adheres to the highest quality standards and maintains appropriate documentation. . KEY RESPONSIBILITIES - Defines the appropriate problem, identifies the data needed to solve the problem, gathers and transforms the data into the appropriate form. - Develops high quality analyses and visualizations and communicates the results and recommendations clearly and competently to our partners. - Ensures timely completion of all analytics projects and builds trusting relationships with partners and stakeholders. - Maintains appropriate documentation (e.g., processes, analytics design, measure definitions, data integration). - Follows best practices of data stewardship/data governance including managing metadata and consistently performing quality assurance to ensure accuracy throughout the process. - Follows best practice guidelines set by Enterprise Analytics for each of the 6 technical capabilities. - The responsibilities listed are a general overview of the position and additional duties may be assigned. TECHNICAL CAPABILITIES - Stakeholder Engagement (Novice): Builds trusting relationships with stakeholders. Understands all aspects of our partner’s business including operational workflows, performance measures, and working relationships. Proactively keeps partners informed of progress on projects. Takes leadership role on analytics projects. Good team player and shows initiative. - Data Acquisition (Novice): Successfully determines data needs based on the problem being solved and identifies appropriate source systems. Writes code that is effective, efficient, and readable with appropriate comments for others to be able to follow. Transforms and structures data accurately. Applies quality assurance (QA) practices and methods. Continues to learn and innovate with new tools and methods, and shares knowledge back with the team. - Data Analysis (Intermediate): Accurately analyzes data to effectively answer our partners’ questions. Adopts new tools, and methods, and uses creativity to produce the desired output. Takes full ownership of the quality of analysis and applies quality assurance (QA) practices and methods. - Data Stewardship and Governance (Intermediate): Understands data stewardship and governance concepts and implements current practices. Understands downstream impacts of changes to data sources, develops and maintains complete metadata for all data assets, tables, and fields. Establishes and maintains data sources of truth and key performance indicators (KPIs). Works with analytics consumers to improve ability to understand KPIs and improve the use and quality of data at the organization. - Communication (Novice): Communicates findings and recommendations in a concise, logical, and easy-to-follow manner. Engages the audience, makes effective use of questions, and practices active listening techniques. Presents written information using a professional writing style and maintains a good balance between detail and synthesis. Adapts communication and presentation delivery to the audience. Leads effective meetings by ensuring appropriate communication before, during, and after all meetings. Selects the right visualization based on the audience and type of question asked and tells stories with data in compelling ways. - Planning (Intermediate): Effectively manages multiple projects concurrently and collaborates with other teams as needed. Creates project plans, tracks progress against plan, actively communicates any potential issues or changes, and documents effectively. Proactively identifies barriers and risks for projects and works to mitigate them. Adapts well with changing requirements and responds well to feedback provided from leaders, partners, and peers. Our professional administrative functions include critical supporting roles in information technology and informatics, finance, administration, legal and community affairs, human resources, communications and marketing, development, facilities, and many more. At our growing health system, we support each other and encourage excellence among all who are part of our workforce. High-achieving employees stay at Vanderbilt Health for professional growth, appreciation of benefits, and a sense of community and purpose. Core Accountabilities: Organizational Impact: Executes job responsibilities with the understanding of how output would affect and impact other areas related to own job area/team with occasional guidance. Problem Solving/ Complexity of work: Analyzes moderately complex problems using technical experience and judgment. Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. Team Interaction: Provides informal guidance and support to team members. Core Capabilities : Supporting Colleagues:- Develops Self and Others: Invests time, energy, and enthusiasm in developing self/others to help improve performance e and gain knowledge in new areas.- Builds and Maintains Relationships: Maintains regular contact with key colleagues and stakeholders using formal and informal opportunities to expand and strengthen relationships.- Communicates Effectively: Recognizes group interactions and modifies one's own communication style to suit different situations and audiences. Delivering Excellent Services:- Serves Others with Compassion: Seeks to understand current and future needs of relevant stakeholders and customizes services to better address them.- Solves Complex Problems: Approaches problems from different angles; Identifies new possibilities to interpret opportunities and develop concrete solutions.- Offers Meaningful Advice and Support: Provides ongoing support and coaching in a constructive manner to increase employees' effectiveness. Ensuring High Quality: - Performs Excellent Work: Engages regularly in formal and informal dialogue about quality; directly addresses quality issues promptly.- Ensures Continuous Improvement: Applies various learning experiences by looking beyond symptoms to uncover underlying causes of problems and identifies ways to resolve them. - Fulfills Safety and Regulatory Requirements: Understands all aspects of providing a safe environment and performs routine safety checks to prevent safety hazards from occurring. Managing Resources Effectively: - Demonstrates Accountability: Demonstrates a sense of ownership, focusing on and driving critical issues to closure.- Stewards Organizational Resources: Applies understanding of the departmental work to effectively manage resources for a department/area.- Makes Data Driven Decisions: Demonstrates strong understanding of the information or data to identify and elevate opportunities. Fostering Innovation:- Generates New Ideas: Proactively identifies new ideas/opportunities from multiple sources or methods to improve processes beyond conventional approaches.- Applies Technology: Demonstrates an enthusiasm for learning new technologies, tools, and procedures to address short-term challenges.- Adapts to Change: Views difficult situations and/or problems as opportunities for improvement; actively embraces change instead of emphasizing negative elements. Position Qualifications: Responsibilities: Certifications: Work Experience: Relevant Work Experience Experience Level: 1 year Education: Bachelor's (Required) Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Summary Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle. The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge. The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment. How You Will Make a Difference - Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness - Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets - Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities - Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs - Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives - Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes - Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level - Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted Who You Are - 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred - Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling) - Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset - Familiarity and experience with distributed coding projects, including using Git for code management. - Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT - Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability. - Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability - Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling. - Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner - Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined - Excellent written and verbal communication skills, including experience preparing materials for executive audiences Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $120,000—$180,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

The Centre for Information Resilience (CIR) is an independent organisation dedicated to exposing human rights violations and threats to democracy. We achieve this through open-source research, digital investigations, capacity-building with local partners, and collaboration with media to amplify our impact.  CIR was born out of a determination to expose those spreading harm – online and offline – around the world, particularly in areas of violent conflict, such as Ukraine, Sudan and Myanmar. Our projects are at the forefront of efforts to investigate and document human rights abuses, war crimes, harms targeting women and minorities, and influence operations. We work closely with multilateral and national justice accountability bodies.  We're always looking to connect with experienced investigators who specialise in collecting, analysing, and interpreting open-source data to generate actionable intelligence. Whether you're currently working in the private sector, law enforcement, journalism, or national security, we want to hear from you.  Role details  The role:  The OSINT Analyst – Open-Source Data Collection and Evidence Archiving (Ukraine) will work in a team dedicated to investigating war crimes and human rights abuses associated with the conflict in Ukraine. They will focus on systematic collection, verification, and archiving of open-source material related to the war in Ukraine. The analyst will contribute to and maintain structured evidence datasets drawn from social media, messaging platforms, and other open sources, supporting large‑scale databases that underpin investigations, reporting, and public-facing mapping products.    Contract Type: Contractor  Contract duration: Until 31 March 2027. Immediate start available.  Hours needed for this role:  Full time.  Languages: You must be able to speak and write English. Ukrainian and/or Russian language proficiency desirable.  Location: Remote. The candidate may make use of CIR’s office premises in Westminster, London or Kyiv, Ukraine.  Closing date: Monday 27th April 2026.