Space Sciences Director remote jobs

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Growth mindset when it comes to process improvement and new technologies, especially AI Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. * We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers Disclaimer: We only communicate with candidates through ****************** email addresses.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Remote work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in remote work are encouraged to apply. Purpose and Scope: The Global Statistical Lead (GSTATL) for Solid Tumor Oncology is a compound level leader within the Quantitative Science & Evidence Generation (QSEG) organization, accountable for driving the statistical and analytical strategy for a compound or indication across its full development lifecycle. This position leads a cross-functional, integrated quantitative team supporting evidence generation and decision-making, with responsibility spanning clinical trial statistics, exploratory statistics, medical affairs statistics, real-world evidence (RWE), safety/pharmacovigilance (PV) statistics, statistical programming, biomarker statistics, and advanced analytics. The role ensures consistency and scientific excellence across studies, indications, and evidence types-while enabling innovation in statistical methodology, clinical development optimization, and external engagement. The GSTATL plays a key role in regulatory and payer strategy, as well as internal governance and portfolio planning for solid tumor assets. Responsibilities and Accountabilities: Strategic Statistical Leadership Serve as the compound-level statistical lead for solid tumor oncology, responsible for end-to-end quantitative strategy supporting clinical development, evidence generation, and regulatory/payer interactions. Lead development of integrated statistical strategies across all relevant study types and functions (e.g., e.g., phase 1b/2 signal-seeking, pivotal, exploratory, RWE, post-marketing). Align statistical and analytical approaches with the target product profile (TPP), development strategy, and external evidence needs. Cross-Functional Quantitative Team Leadership Lead and coordinate statistical and analytics contributions from a broad QSEG team, including: Clinical trial biostatisticians Exploratory oncology statisticians (e.g., tumor burden modeling, subgroup/signal detection) Medical Affairs statisticians Statistical programmers Biomarker/statistical genetics experts in oncology RWE analysts/statistical epidemiologists Safety/PV statisticians Advanced analytics and modeling specialists Ensure scientific alignment, quality, and integration across all statistical contributions at the compound level. Regulatory and HTA Engagement Represent Astellas on all statistical matters in global regulatory interactions (e.g., FDA, EMA, PMDA). Guide preparation of statistical content for regulatory submissions, briefing packages, and health technology assessment (HTA) dossiers. Lead the development of statistical components of payer evidence strategies, including indirect comparisons and external control methodologies. Innovation and Methodological Excellence Champion the use of oncology-appropriate innovations, including Bayesian designs, adaptive trial designs, external controls, tumor-agnostic approaches, and AI/ML tools to enhance study design and signal detection. Promote exploratory data analysis, modeling, and simulation to support rapid development decisions in Solid Tumor trials. Integrate clinical, biomarker, safety, and real-world evidence to drive cohesive, data-driven development and access strategies. Mentorship and Capability Development Mentor statisticians and analytics professionals across QSEG, supporting both scientific development and career growth. Share knowledge and best practices across study teams and therapeutic areas. Contribute to internal training, methodology development, and talent pipeline initiatives. Governance and Cross-Functional Influence Participate in global asset governance and development team meetings, influencing decisions with rigorous statistical insight. Collaborate with Clinical Development, Medical Affairs, Regulatory, Market Access, and Commercial to ensure alignment on evidence planning. Lead or contribute to internal initiatives, including standardization efforts, methodology forums, and innovation networks.

is incentive eligible. Introduction Do you want to join an organization that invests in you as a(an) Data Science Director? At Work from Home, you come first. HCA Healthcare has committed up to 300 million in programs to support our incredible team members over the course of three years. Benefits Work from Home offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: * Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation. * Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more. * Free counseling services and resources for emotional, physical and financial wellbeing * 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service) * Employee Stock Purchase Plan with 10% off HCA Healthcare stock * Family support through fertility and family building benefits with Progyny and adoption assistance. * Referral services for child, elder and pet care, home and auto repair, event planning and more * Consumer discounts through Abenity and Consumer Discounts * Retirement readiness, rollover assistance services and preferred banking partnerships * Education assistance (tuition, student loan, certification support, dependent scholarships) * Colleague recognition program * Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence) * Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income. Learn more about Employee Benefits Note: Eligibility for benefits may vary by location. You contribute to our success. Every role has an impact on our patients' lives and you have the opportunity to make a difference. We are looking for a dedicated Data Science Director like you to be a part of our team. Job Summary and Qualifications At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA's Digital Transformation and Innovation (DT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care. The Director, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team. This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience. What You will do: * DATA SCIENCE LEADERSHIP: Manage, mentor, and coordinate teams of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms. * AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery. * FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments. * CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional) * STRATEGIC LEADERSHIP: Actively participate in the development of the companys data science strategy and roadmap, working closely with senior leadership. * DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to the team * PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users. Develop and track data product OKRs for measurable value creation for the enterprise. * Performs other duties as assigned * Practices and adheres to the "Code of Conduct" philosophy and "Mission and Value Statement." * Typical work week hours can vary depending on workload and project deliverables What qualifications you will need: * Bachelor Degree Required * Masters/PhD Degree Preferred * 8+ years of overall experience in various aspects of data science, machine learning, and generative AI with demonstrated progressive responsibilities * Expert experience in SQL and Python * Experience with structured and unstructured data (i.e.. tabular, text, images, video, etc.) * Experience with SQL relational and non-relational databases * Experience with data processing and ETL tools (e.g. dbt) * Experience with data visualization and data monitoring tools * Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker * Experience with cloud deployments in GCP or another cloud platform * Experience with Agile development methods and tools (e.g. Azure Dev Ops) * Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders * Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams * Ability to tell a story using data and insights that drives action and change * Demonstrated leadership in a fast-paced environment with decisiveness, consensus-building, empathy and kindness Preferred Skills: * Healthcare domain knowledge and experience * Strong project management skills with the ability to manage multiple projects simultaneously * Agile Delivery, Product Management, or Scrum Master certifications * Experience managing and unblocking teams in GCP platform "Good people beget good people."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Data Science Direcctor opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. We are seeking a Director of Data Science. This role will be responsible for the overall leadership and management of the data science team at Machinify, and requires a deep technical background, strong leadership skills, and the ability to drive innovation and excellence in a fast-paced environment. Reporting to the Chief Data Scientist, the Director of Data Science will collaborate closely with other leaders to align engineering efforts with the company's strategic goals. What you will do: Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work Collaborate with the leadership team to define key technical and business metrics and objectives Translate objectives into internal team priorities and assignments Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics Hire, mentor and develop team members Foster a culture of innovation, collaboration, and continuous improvement Communicate technical concepts and strategies to technical and non-technical stakeholders effectively Own the success of various models on the field by continuously monitoring KPI's and initiating projects to improve quality. What you bring: Degree in Computer Science, Engineering, or a related field 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment Strong knowledge of data privacy regulations and best practices in data security Exceptional team management abilities, with experience in building and leading high-performing teams Ability to think strategically and execute methodically Ability to drive change and inspire a distributed team Strong problem-solving skills and a data-driven mindset Ability to communicate effectively, collaborating with diverse groups to solve complex problems You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development You prioritize customer impact, ensuring your work significantly advances our product value What we offer: A flexible and trusting environment where you'll feel empowered to do your best work. Work from anywhere in the US! Our team is distributed and most of us work from home. Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent. Incredible medical, vision, and dental benefits for employees & their families. Competitive salary and equity, 401(k) sponsorship. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: ***************************************************

Director, Data and Science (Analytic Solutions - Epidemiology and Biostatistics Study Design) Architect groundbreaking healthcare analytics strategies that improve patient care and drive industry innovation. As the Director, Data and Science (Analytic Solutions - Epidemiology and Biostatistics Study Design) at Verana Health, you'll transform healthcare through data-driven insights. This important role demands someone who can translate intricate clinical challenges into pioneering study designs that push the boundaries of medical research. You'll lead collaborations with life science partners, applying your expertise to create methodologies that extract invaluable insights from complex datasets. Your synthesis of epidemiological and biostatistical approaches will help uncover patterns that lead to breakthrough treatments and improved health outcomes. You'll foster a culture of innovation and excellence within your team, mentoring the next generation of healthcare data scientists. Your strategic vision and technical knowledge will support Verana Health's mission to improve healthcare through data-enabled strategies. By bridging the gap between complex clinical questions and useful insights, you'll help advance medical research, ultimately improving patient lives. You will report to the Sr. Director of Data and Science (Analytic Solutions). This is a remote role. Employees located within 50 miles from one of our offices (San Francisco, Knoxville, New York) are asked to maintain a hybrid work schedule. What you get to do: Study Design Leadership: Guide the development of robust epidemiological and biostatistical study designs for critical commercial retrospective clinical studies, including protocols, methodologies, and statistical analysis plans. Team Management: Lead a team of 5 ICs, promoting their growth and ensuring high-quality output in study design and analysis. Client Collaboration: Engage with life science customers to align project goals with Verana's data and analytic capabilities while serving as an important Data and Science team member. Cross-functional integration: Work with teams across the organization to translate clinical questions into appropriate study designs and data analytics requirements. Quality Assurance: Ensure the scientific rigor and validity of your team's study deliverables and methodologies. Your Qualifications: Master's or Doctorate in Epidemiology, Biostatistics, or a related field 7+ years of experience in epidemiological and biostatistical study design within life sciences, pharmaceutical, or biotechnology sectors 3+ years of experience leading research study teams Experience with advanced epidemiological and biostatistical principles and their application in healthcare research Experience in team resource allocation and project management Client-facing skills with expertise in building relationships in the healthcare analytics space Proficiency in statistical software (e.g., R, SAS, or STATA) and familiarity with SQL and Python Solid experience working with clinical datasets and coding systems Why Join Us? Verana Health transforms drug lifecycle and medical practice insights using our exclusive real-world data network. We recently secured $150 million in Series E funding, backed by industry leaders like Johnson & Johnson Innovation - JJDC, Inc., Novo Growth, GV, Casdin Capital, and Merck Global Health Innovation Fund. We offer comprehensive benefits including: 100% health, vision, and dental coverage. 401K match. Flexible vacation plans. Annual stipend for learning and wellness. Access to wellness apps like Headspace. National Pay Range $200,000-$240,000 USD #LI-Remote Pay ranges may vary for market conditions, location, and experience. National Pay Range$200,000-$240,000 USD

Are you passionate about pricing in the insurance industry? Would you like to join a team dedicated to accelerating our most critical pricing program deployments across all our retail lines nationwide? The US Retail Market (USRM) Data Science Pricing Deployments team is seeking a Director II, Data Science to lead a team responsible for supporting the design and implementation of our pricing program deployments across all lines in US Retail Markets. This team will deliver expert guidance on complex designs, promote consistent and effective implementations across products and lines, and leverage best practices while providing the necessary resources to support Earnix deployments throughout the organization. Ultimately, this role will be key to scaling the speed and efficiency of implementing pricing programs in Earnix at Liberty Mutual. Roles and responsibilities: Design Excellence and on-demand support Support Earnix design teams by promoting consistent implementation of rating programs across Lines of Business and product lines to ensure alignment and uniformity. Offer expert support for complex and sophisticated rating design challenges. Provide additional capacity to support high-priority initiatives such as migrations, builds, and ad-hoc requirements across teams. Best Practices and Process Improvement Collaborate with Earnix Design teams to establish best practices for rating program designs, driving continuous improvement in quality and efficiency. Enforce rigorous design documentation standards, ensuring all decisions are thoroughly documented with background, rationale, and impact for transparency and future reference. Drive continuous improvement and innovation by identifying opportunities to streamline processes, reduce manual effort, and leverage automation in pricing deployments. Work across design teams to support awareness and adoption of new tools & processes. Training & Development Develop training materials and deliver workshops to upskill teams on Earnix functionalities, best practices, and emerging tools. Earnix Platform Adoption & Innovation Proactively explore new features and tools within Earnix, leading adoption efforts that add meaningful value. Gather requirements and provide expert guidance for enhancements and new capabilities within the Earnix platform. Expand Earnix's use as an analytical tool by designing innovative applications beyond standard rating programs to drive business value. Assist Earnix users in developing effective visualizations within the Earnix analytical environment to improve decision-making and communication. Community engagement Maintain active involvement with internal data science communities and lead cross-functional groups to foster knowledge sharing and innovation. Qualifications 2+ years of proven experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live or IBM Modeler Strong understanding of rating algorithm structures, including their components, inputs, and outputs. Strong knowledge of predictive analytic techniques and statistical diagnostics of models. Strong knowledge of data science tools, with proficiency in Python for data science applications Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with relevant audience and stakeholders Demonstrated skill in persuading and influencing diverse stakeholders to gain buy-in and foster collaboration Ability to establish and build relationships within the organization. Ability to give effective training and presentations to management and other groups. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience. Insurance or financial services industry experience preferred. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: *********************** Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco We can recommend jobs specifically for you! Click here to get started.

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution as an applied science leader to make it a world class science and engineering center with the focus on excellence. In this highly strategic role, you will drive the design, development, and integration of state-of-the-art AI solutions into healthcare products as an applied science leader. You will collaborate with stakeholders across product, engineering to shape the Healthcare AI roadmap and deliver value to customers and partners. You will play a pivotal role in attracting top talent, and talent development within the team. You will lead by example in identifying and nurturing talent, engaging in regular career development discussions, and offering strategic guidance to support the professional growth of each team member. Your commitment to promoting excellence will ensure that team members have access to opportunities for advancement, while your advocacy for OHAI values will instill a sense of purpose and commitment throughout the team. Qualifications: + PhD or Master's degree in computer science, electrical engineering, physics or related technical field with focus on machine learning and artificial intelligence. + A minimum of 5 years of people management experience. + Proven experience leading applied science teams in AI/ML and product development. + Strong background in recruiting, developing, and leading senior individual contributors (ICs) and building high-performing teams. + Proven track record in delivering large-scale AI/ML products. + Deep technical expertise in machine learning systems, GenAI/LLM model architectures, development/deployment of AI agents, and recommendation & ranking systems at enterprise scale. + Demonstrated track record of delivering complex, high-impact features or products from concept to customer adoption and operational stability. + Strong business acumen with the ability to balance strategic technical vision with operational execution and customer needs. + Exceptional communication and stakeholder management skills, with the ability to influence at all levels including with enterprise customers. + Experience driving end-to-end applied science solutions in partnership with cross-functional teams, including engineering, and customer-facing roles. + 10+ years of applied science or technical leadership experience, with significant recent leadership in AI, ML, recommendation systems. **Responsibilities** + Build and lead a high-performing applied science and engineering team dedicated to delivering high-impact AI products with AI Agents, GenAI models, and RAG workflows etc-within Oracle Health AI. + Develop, retain and attract top applied science and engineering talent. + Drive science, engineering and operational excellence. + Define and execute the vision for next-generation AI services and products for healthcare. + Evaluate, architect, and integrate emerging AI technologies-assessing their relevance, maturity, and impact. + Establish best practices for scalable, secure, and robust deployment of GenAI powered services. + Shape technical strategy and influence the product roadmap by translating technology advancements and customer requirements into actionable applied science plans. + Foster cross-functional collaboration with product, engineering, and customers to prototype and deliver innovative AI-powered products. + Represent Oracle as a thought leader in AI technologies both internally and across the industry. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $122,500 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - M4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? Within Danaher the work our diagnostic businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. We're accelerating the development of cutting-edge diagnostics to solve some of the world's most pressing health challenges. Across our diagnostics operating companies we are driving innovation through partnerships with top academic institutions and leading players in biopharma and translational research. We're bringing the best minds together to accelerate innovation and unlock the full potential of the latest scientific advances. Together, we're expanding access to precision diagnostics for millions of people worldwide - and we're using our unmatched global scale and proven playbook to make it happen, from hospital labs to mobile clinics. By helping providers, patients, and families get faster, more precise diagnostic results, we're improving treatment options and saving lives. Learn about the Danaher Business System which makes everything possible. The Director of Generative AI leads the strategy and execution of large language models (LLMs) and agentic AI across Danaher's Diagnostics Platform. The candidate will own the LLM/agent roadmap, build governed multi-modal datasets (text, tabular, device logs, lab results, EHR/claims), develop and validate production-grade RAG, fine-tuned LLMs, and task-specific agents, and integrate results into products, studies, and evidence programs (scientific, regulatory, market access, and post-market). You'll collaborate with clinical, regulatory/quality, R&D, medical affairs, IT/security, and our Operating Companies (OpCos) to deliver measurable patient and business impact. This position reports to the Vice President, Chief Data Officer Digital Products Development and is part of the Chief Innovation Office and will be fully remote. In this role, you will have the opportunity to: Conduct RWE analytics of EHR/claims/registries/device telemetry to drive biomarker discovery and development. Communicate impact to clinical, technical, and executive audiences via clear narratives, dashboards, and publications/white papers. Orchestrate cross-OpCo, AI Enterprise, and academic/consortia collaborations; manage vendors and open-source participation where strategic. The essential requirements of the job include: Advanced degree in Biomedical/Imaging Engineering, Computer Science, Data Science, or related field (PhD preferred; Master's considered). 6+ years of experience post education in diagnostics, medtech, or biopharma. Demonstrated expertise building production LLM systems: RAG, fine-tuning, tool-use/agents, prompt engineering, evaluation (faithfulness, factuality), and optimization. Hands-on proficiency in Python/R and imaging/ML, causal/survival/longitudinal methods, and visualization tools. Proven experience analyzing RWE/RWD (EHR, claims, registries, device logs) for clinical, regulatory, or market access impact. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel - 20% It would be a plus if you also possess previous experience in: Background in oncology, infectious diseases, acute care, and/or neurodegenerative disorders. Publications or conference presentations in LLMs/GenAI, clinical NLP, RAG/agents, or evaluation; ability to translate complex analyses into manuscripts and executive materials. Deploying LLMs at scale on Azure (including Azure OpenAI and OSS models such as Llama/Mistral) with modern data platforms (Snowflake/Databricks/Delta Lake, MLflow). Within Danaher Diagnostics, we offer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. Within Danaher Diagnostics we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working within Danaher Diagnostics can provide. The annual salary range for this role is $200k-$230k. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay.#LI-Remote We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit **************** Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:************** or applyassistance@danaher.com.

City/State Norfolk, VA Work Shift Multiple shifts available Elevate your brand new career with Sentara! This fast-track placement assistance process is only for Sentara College of Health Science Allied Health new graduates. Are you a passionate Allied Health professional looking to take your career to the next level? At Sentara, you'll have the opportunity to thrive in fast-paced, cutting-edge environments across our acute care hospitals and facilities across Virginia and North Carolina. Whether you're assisting with patient mobility, performing blood draws, or supporting the nursing team, you'll play a vital role in delivering exceptional care. Join us and be part of a team committed to providing the highest quality care to our patients! Education * High School Diploma or Equivalent * Sentara College of Health Sciences Experience * Must be a Sentara College of Health Sciences student/new graduate to apply to this placement process. Join Sentara Health and be part of a team that's making a real difference-every day, in every way! Keywords: #SCOHS #PCT #NewGrad #MTS #MedicalAssistant . Benefits: Caring For Your Family and Your Career * Medical, Dental, Vision plans * Adoption, Fertility and Surrogacy Reimbursement up to $10,000 * Paid Time Off and Sick Leave * Paid Parental & Family Caregiver Leave * Emergency Backup Care * Long-Term, Short-Term Disability, and Critical Illness plans * Life Insurance * 401k/403B with Employer Match * Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education * Student Debt Pay Down - $10,000 * Reimbursement for certifications and free access to complete CEUs and professional development * Pet Insurance * Legal Resources Plan * Colleagues may have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met Here at Sentara, we are committed to consistently enhancing our training, advancement tracks, work-life benefits, and more. Our goal is to make you feel more excited to be here every day! Sentara Norfolk General Hospital, located in Norfolk, VA, is a 525-bed tertiary care facility that is home to the only Level I Adult Trauma Center and burn trauma unit in Hampton Roads, and also serves as the primary teaching hospital for Eastern Virginia Medical School. In addition to the high-quality heart program at Sentara Heart Hospital, our facility is home to Nightingale Regional Air Ambulance and several other dedicated facilities and specialized services. As a recognized accredited Comprehensive Stroke Center, and Magnet hospital for nursing excellence, our hospital specializes in heart and vascular, neurosciences, neurosurgery, urology, oncology, spine care, advanced imaging, behavioral health, maternity, and women's health, including a state-of-the-art neonatal intensive care unit. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Who We Are Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity. The primary location for this role is remote, travel is expected to be up to 10%, and the expected schedule is Monday - Friday 8:00am - 05:00pm central. Independently licensed in TX, MO, or LA (LCSW, LPC, LMHC, or LMFT) required. What You'll Do As the Manager, Behavioral Health Longitudinal at Imagine Pediatrics you will manage a team of supervisors overseeing three roles: Behavioral Health Therapists, Behavioral Health Care Managers, and Care Team Assistants who work as an interdisciplinary team to serve a patient population experiencing severe mental illness (SMI). This role oversees a regional behavioral health care team and is responsible for team metrics and program outcomes. 90% of Manager, Behavioral Health, longitudinal role will be administrative inclusive of the following: Manage a team of regional cross functional care team members with the support of supervisors. Provide oversight to a team of supervisors including 1:1 support, quarterly feedback, and typical functions of people management Provide guidance to supervisors regarding performance management of indirect reports. Uphold team members responsible to Imagine specific policies, clinical programming requirements, and utilization targets. Partner with talent acquisition to carry out hiring plans, interviews, and onboard new team members. Assist with strategic planning for expansion into new markets for company growth. Analyze programmatic metrics and individual metrics in order to utilize staff appropriately. Hold the team accountable for working at the top of their license and utilizing team functions as efficiently as possible Identify areas for improvement within team processes, clinical care, and action on projects to make them more efficient. Serve as the Behavioral Health Longitudinal representative in leadership meetings to provide feedback, improve patient experience, and support the development of new programs and services. Acts as the liaison for behavioral health services to all stakeholders taking a lead role in process and performance improvement and the delivery of high-quality services Collaborate with clinical education team for implementation of new trainings in alignment with care team and organizational needs. Create a positive and inclusive culture of teamwork and accountability Assist behavioral health team with navigating new processes, policies, and procedures. 10% of Manager, Behavioral Health - longitudinal role will be clinical and include but are not limited to the following responsibilities. Consult with market leaders on behavioral health cases. Manage patient escalations as needed. Support service recovery calls. What You Bring & How You Qualify First and foremost, you're passionate and committed to creating the world our sickest children deserve. You want an active role in building a diverse and values-driven culture. Things change quickly in a startup environment; you accept that and are willing to pivot quickly on priorities. A qualified candidate will be empathetic, caring, organized, and has strong relationship-building skills. In this role, you will need: Master's degree in social work, Marriage and Family Therapy, Counseling, or related area Must be licensed to independently practice in TX, MO, or LA (LCSW, LPC, LMHC, LMFT), openness to cross-state licensure. 5 years of experience post independent licensure in a behavioral health setting. 3 years of experience in management/supervision of mental health providers (experience in remote/start-ups environments preferred). Experience working with children, adolescents, and their caregivers inclusive of external systems involved in a minor's care. Experience with chart auditing and training to improvement-oriented outcomes. Certification/Training in evidence-based modalities including but not limited to cognitive behavioral therapy and dialectical behavioral therapy preferred Experience working with high-risk behavioral health populations including but not limited to suicidal ideation, homicidal ideation, severe persistent mental illness (SPMI), children in the foster care system. Strong preference and comfortability conducting triage assessments and crisis interventions. Diligent regarding documentation standards and accustomed to using electronic medical records. Experience working with a diverse population or demographics. Telehealth experience Familiarity with technology, Microsoft suites, and documenting in electronic health records. Fully remote with 10% travel for training/education What We Offer (Benefits + Perks) The role offers a base salary range of $88,000 - $107,000 in addition to annual bonus incentive, competitive company benefits package and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary. We provide these additional benefits and perks: Competitive medical, dental, and vision insurance Healthcare and Dependent Care FSA; Company-funded HSA 401(k) with 4% match, vested 100% from day one Employer-paid short and long-term disability Life insurance at 1x annual salary 20 days PTO + 10 Company Holidays & 2 Floating Holidays Paid new parent leave Additional benefits to be detailed in offer What We Live By We're guided by our five core values: Our Values: Children First. We put the best interests of children above all. We know that the right decision is always the one that creates more safe days at home for the children we serve today and in the future. Earn Trust. We listen first, speak second. We build lasting relationships by creating shared understanding and consistently following through on our commitments. Innovate Today. We believe that small improvements lead to big impact. We stay curious by asking questions and leveraging new ideas to learn and scale. Embrace Humanity. We lead with empathy and authenticity, presuming competence and good intentions. When we stumble, we use the opportunity to grow and understand how we can improve. One Team, Diverse Perspectives. We actively seek a range of viewpoints to achieve better outcomes. Even when we see things differently, we stay aligned on our shared mission and support one another to move forward - together. We Value Diversity, Equity, Inclusion and Belonging We believe that creating a world where every child with complex medical conditions gets the care and support, they deserve requires a diverse team with diverse perspectives. We're proud to be an equal opportunity employer. People seeking employment at Imagine Pediatrics are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, or characteristics (or those of a family member), pregnancy or other status protected by applicable law.

Monmouth University seeks a visionary, collaborative and innovative leader who will serve as the next Dean of the Marjorie K. Unterberg School of Nursing and Health Studies, with an anticipated start date of July 1, 2026. Applications received by November 1, 2025 will receive full consideration. The Dean provides overall leadership for the school and reports directly to the Provost and Senior Vice President for Academic Affairs. The ideal candidate will possess an earned doctorate in a health-related academic discipline; a distinguished record of academic achievement including effective teaching in higher education (undergraduate and graduate), scholarly activity and service at a level consistent with the appointment to rank of Professor with tenure; demonstrated successful progressive administrative experience in higher education; and experience in accreditation processes, state certification rules, regulations, and codes. The Dean provides fiscal management and advances department and programmatic initiatives, research, curricular innovations, and other activities. The Dean facilitates efforts to recruit, develop and retain diverse and highly qualified faculty, and makes recommendations on hiring, tenure, promotion, and faculty reappointment. The Dean will also maintain accreditation standards, requirements, and reporting for all programs. The Marjorie K. Unterberg School of Nursing and Health Studies offers programs in nursing, health and physical education, physician assistant, occupational therapy. This is an in-person, on-campus, non-remote position. For additional information about the school and its programs, please refer to the Marjorie K. Unterberg School of Nursing and Health Studies webpage. Additional Application Material Required: Monmouth University requires all applications and supporting documents to be submitted via the university's career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded. Required Documents: Resume or Curriculum Vitae Cover Letter Contact Information for Three Professional References Diversity Statement: The Diversity Statement should briefly describe your past efforts and future plans to advance diversity, equity, and inclusion. Your statement should demonstrate an understanding of the barriers facing women, people of color, students, and community members with disabilities, LBGTQIA+, and other members of groups underrepresented and/or marginalized in medical/health careers, along with understanding Monmouth University's mission to meet the educational needs of our diverse student population. We recognize that some faculty candidates may not have substantial past activities in this domain. In such cases, we recommend focusing on your future plans. Optional Documents: Up to Three Letters of Recommendation Unofficial Transcripts Duties and Responsibilities: Articulate and advocate the mission and goals of the School of Nursing and Health Studies; Provide strategic leadership of the School. Represent the School to internal and external constituents. Take an active role in collaborating and promoting nursing and health science education with appropriate state and private agencies, hospitals, and educational institutions. Responsible for the fiscal management of the School, as well as overseeing departmental budgets. Provide academic leadership and oversight of academic program reviews, for accredited and non-accredited programs, to continually evaluate and improve program quality and to ensure congruence with the University strategic plan as well as the standards prescribed by accrediting bodies of the respective accredited programs. Lead and perform oversight of curriculum innovation and excellence in nursing and health science programs; Oversee the quality of the general education curriculum delivered by the School; and Oversee the scheduling of classes for undergraduate and graduate programs within the School. Working with Graduate Studies, the Dean provides leadership in developing innovative graduate degree and certified programs in traditional and non-traditional delivery modes that meet the needs of our community. Supervise and provide strategic leadership to the Dean's Office; Provide leadership in the scholarly and professional development of the faculty; and Support professional development of Department Chairs and Dean's Office Staff and Administrators. Facilitate faculty and staff recruitment, evaluation of faculty and staff, and making recommendations on hiring, tenure, promotion and reappointment. Provide student support and mentoring. Perform University-wide committee service; Interact with the School of Nursing and Health Studies Dean's Advisory Council and Department Advisory Committees; Lead meetings of Department Chairs and other leaders. Serve on the Provost's Academic Leadership Team, Distinguished Teaching Award Committee, and other committees and task forces as needed. Collaborate with University Marketing and Communications and Enrollment Management to develop advertising and marketing plans for academic programs, including print and electronic materials. Support the division of University Advancement in donor prospect cultivation and fundraising in support of the School and University priorities and initiatives. Reports to the Provost/Senior Vice President for Academic Affairs. Special assignments as requested. Minimum Qualifications: Ph.D. or other doctoral degree in one of the School's disciplines or a related field. A minimum of five (5) years of demonstrated successful progressive administrative experience in higher education with experience leading undergraduate and graduate programs. A distinguished record of academic accomplishments, including effective teaching, scholarly activity, and service at a level consistent with the appointment to rank of Professor with tenure. Excellent interpersonal, organizational, and communication skills. Ability to treat confidential and sensitive information appropriately. Preferred Qualifications: Professional license, certification, or licensure eligible, if appropriate, in the field of study. Experience in mentoring and supporting faculty and students. Experience with undergraduate and graduate program development, assessment, and support faculty development of skills directly relating to accreditation standards. Effective and collegial work experience with other leaders from a range of academic disciplines. Strong financial and budgetary experience. Successful experience in securing external funding through grants, cultivating donor relationships, and fundraising. Experience with interdisciplinary and cross-school, collaborative program building. Experience with oversight of academic Institutes. Evidence of fostering community engagement and outreach. Awareness of the changing dynamics of national trends in health sciences education and the health sciences workplace. Commitment to student professional development and career success. Ability to cultivate a strong leadership team comprised of the Dean's Office leadership and staff, department chairs, and other leaders in the School Experience as full-time, adjunct faculty, or as a preceptor preferred, but willing to train motivated candidates. Questions regarding this search should be directed to: Joseph Coyle, PhD at ******************* or ************ Note to Applicants: Please keep in mind that a job posted as “Open until filled” may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position. Enrichment Statement: Monmouth University values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. Working at Monmouth University perks: 403(b) Retirement Plan (8% employer contribution) Generous Paid Time Off Medical, Dental & Vision Insurance Benefits Tuition Remission for employee upon hire Tuition Remission for spouse or civil-union partner and IRS dependent after one-year of full-time continuous employment Employer paid Short & Long-Term Disability Employer sponsored Life Insurance Employee Assistance Program (EAP), FSA, Telehealth and more To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University Department: School of Nursing and Health Studies Work Schedule: Regularly Monday through Friday Total Weeks Per Year 52 Hours Per Week: 36.25 Expected Salary $190,000 Union: N/A Job Posting Close Date Open until filled

Consulting** Cognizant Consulting is more than Cognizant's consulting practice-we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? **About the Role** As a Product Owner for Sales & Enrollment Platforms, you will make an impact by leading the development and optimization of Elv Sales and Enrollment capabilities. You will be a valued member of the Sales & Enrollment team and work collaboratively with business stakeholders, sales, marketing, compliance, IT, and clients. **In this role, you will** · Define and maintain the product vision and roadmap for Sales and Enrollment platforms, aligning initiatives with business goals, regulatory requirements, and customer needs. · Prioritize features and enhancements based on business value, customer impact, and technical feasibility. · Collaborate with cross-functional teams to gather requirements, define user stories, and act as the voice of the customer throughout the product lifecycle. · Serve as Product Owner in Agile ceremonies (backlog grooming, sprint planning, reviews, retrospectives), maintaining a well-groomed backlog and ensuring timely delivery of features. · Drive improvements in digital quoting, application intake, eligibility verification, and member onboarding for individual, group, and government-sponsored health plans (Medicare, Medicaid, ACA), ensuring compliance with CMS, ACA, and other regulatory requirements. **Work model** We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. **What you must have to be considered** · Bachelor's degree in Business, Information Technology, or related field. · 5+ years of experience as a Product Owner or in product management within healthcare or insurance domains. · Hands-on experience with sales and enrollment processes for individual, group, and government-sponsored health plans (Medicare, Medicaid, ACA). · Strong understanding of CMS, ACA, and other regulatory compliance requirements. · Proven ability to define product vision, strategy, and roadmap aligned with business objectives. · Experience managing product backlogs and leading Agile ceremonies (Scrum, SAFe). **These will help you succeed** · Familiarity with CRM platforms (Salesforce preferred) and digital enrollment tools. · Experience working with business operations and cross-functional teams. · Excellent communication, stakeholder management, and organizational skills. · Analytical and problem-solving skills with ability to balance business needs and technical feasibility. · Certification in Product Ownership or Agile (CSPO, SAFe POPM) is a plus. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. **Compensation:** + $90,000-$129,500 This position is eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans **Benefits** + Medical, dental, vision and life insurance + 401(k) plan and contributions + Employee stock purchase plan + Employee assistance program + 10 paid holidays plus PTO + Paid parental leave and fertility assistance + Learning and development certifications and programs Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications * Minimum 6 years of experience with building optimization algorithms or relevant experience. * Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. * In-depth experience with data science cloud platforms and their integration into business solutions. * Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. * Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. * Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. * Deep understanding and application of statistical analysis and advanced machine learning techniques. * Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms) * Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. * Experience with Vector Databases and embeddings. * Experience with Model Fine-tuning. * Experience with GPU optimization. Preferred Qualifications * Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus. * Knowledge of geospatial analytics, route optimization, and GIS concepts. * Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. * Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. * Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. * Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. At BNSF, you will have access to a comprehensive and competitive benefits package including: * An industry-leading 401(k) and renowned Railroad Retirement program. * A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. * Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. * Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). * Access to discounts on travel, gym memberships, counseling services and wellness support. * Annual bonus (Incentive Compensation Program) * Generous leave / time off policies. * For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

The Sr Staff AI Scientist - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health quality and outcomes. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes. Responsibilities As a Sr Staff AI Scientist - Generative AI within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented. Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques. Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases. Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work. Prepare your final trained model and develop a validation test set for QA. Work with production operations to deploy your model into production and support them in monitoring model performance. Participate in other data science teams collaborating with your peers to support their projects. Participate in knowledge sharing sessions to bring new insights and technologies to the team. Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform. Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption. Complete all responsibilities as outlined in the annual performance review and/or goal setting. Complete all special projects and other duties as assigned. Must be able to perform duties with or without reasonable accommodation. This is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications PhD or Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI. Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases. 9+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU. Good to have publication record in journals/conferences and/or history of innovation. Experience building production-grade machine learning deployments on AWS, Azure, or GCP. Experience working with Apache Spark™ and large-scale distributed datasets. Experience communicating technical concepts to non-technical and technical audiences is a plus. Passion for collaboration, learn it all mindset and driving value with AI. Cognitive/Mental Requirements: Ability to work independently as well as collaborate as a team with a sense of urgency. Professional with ability to properly handle confidential information. Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort. Ability to handle multiple tasks, prioritize and meet deadlines. Ability to work within a matrixed organization. Proficiency in all required skills and competencies above. Communicating with others and teamwork. Assessing the accuracy, neatness, and thoroughness of the work assigned. Working Conditions and Physical Requirements: Flexibility to work with global teams as well geographically dispersed US based teams. Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands and/or fingers. No adverse environmental conditions expected Must be able to provide high-speed internet access / connectivity and office setup and maintenance. Must be able to provide a dedicated, secure work area. Base compensation ranges from $185,000 to $210,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. Since this job will be based remotely, all interviews will be conducted virtually. Date of posting: 7/14/2025 Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/14/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. #LI-Remote #LI-LL1 #senior

Health and Science Project Manager (Reg FT) Department: Nursing Campus: College Wide Additional Information: This position will remain open until filled. However, to ensure consideration for an interview, please submit your completed application, cover letter, and resume by no later than August 8, 2025. The College cannot guarantee that application materials received after this date will be considered or reviewed. Benefits: At CCAC, we take pride in offering an exceptional benefits package designed to support our employees' personal and professional well-being: Comprehensive Health Coverage: Access to an excellent health plan with a very low out-of-pocket expense network option. Generous Time Off: Enjoy a range of time-off benefits that are tailored to your position, along with a four-day workweek in the summer for an ideal work-life balance. These benefits vary and may include vacation, personal, sick, and holiday pay, as well as options like collegial coverage for faculty. Retirement Planning: Options include a 403(b) retirement plan with up to 10% employer match or a state-defined benefit pension. Financial Peace of Mind: Employer-paid benefits include group life insurance, short/long-term disability, and access to flexible spending accounts (FSAs). Wellness Support: Our Employee Assistance Program (EAP) is available for confidential support, with resources to address personal and professional challenges. Educational Support: Take advantage of tuition waivers, tuition reimbursement, Public Service Loan Forgiveness (PSLF) eligibility, and a variety of professional development opportunities to grow your career. Exclusive Employee Perks & Rewards: Save on theme parks, sporting events, electronics, and more! Additional Advantages: Free employee parking to make your commute easier. Remote Work Option: Fully In-Person (May be subject to change) Salary Grade: Admin 14 - $55,756 Job Category: Administrators Employment Type: Regular Full-Time Job Slot: 6046 Job Open Date: 7/24/2025 Job Close Date: Open until filled General Summary: The health and science project manager performs administrative duties to assist with coordinating functions and to enhance the operational functioning of the Nursing, Allied Health and Sciences Division across the College system. Requirements: Bachelor's degree (master's degree in nursing, allied health and sciences preferred) in a health care or related field from an accredited institution of higher learning recognized by the US Department of Education with a minimum of three years of related experience. Preference may be given for knowledge or experience working in academia or work experience in the health care field. An equivalent combination of education and/or experience from which comparable knowledge, skills and abilities have been achieved may be considered. Duties: Assists with coordination of recruitment and enrollment activities across the system. Collects and maintains divisional statistics for reports. Assists the Dean with maximizing efficiencies across the system (supplies, etc.). Assists the Dean with the Divisional strategic planning process across the College. Coordinates with the Assessment and Institutional Effectiveness and Planning department to obtain needed statistics for accreditation reports or requests for evidence based benchmarking. Manages programmatic accreditation schedules and timelines. Handles statistical tracking of Nursing data (End of Course, End of Program, etc.). Monitors the time schedule for Program reviews and tracks data on the reports for requested faculty, supplies, equipment, space, and other programmatic needs. Responsible for CEU process, licensure and program specific credentialing record keeping. Coordinates and monitors process for RQI and Trajecsys across the College. Performs additional related duties as required or as assigned. Clearances: Clearances: Current criminal record/child abuse clearances will be required if offered the position and to be employed at the College. The three clearances are Pennsylvania Child Abuse History Clearance, Pennsylvania State Police Criminal Records Check, and Federal Bureau of Investigations (FBI) Criminal Background Check. The College has provided instructions on how to obtain these clearances, which are available here.

Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We're a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. About the Role At Mudflap, we're building a data-driven engine to power decisions across every part of our business. We're looking for versatile Senior and Staff level Data Scientists to join our small, high-impact analytics and ML team. You'll work closely with product, engineering, operations, and cross-functional partners to build data products, ML models, run experiments, and deliver insights that directly influence our growth and product strategy. Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: Commuter benefits to ease your travel Lunches and snacks to keep you fueled A collaborative, high-growth environment where you'll work closely with talented teammates across the company We're hiring for three key domains-Product, Risk and Growth -so you can apply your skills where you're most passionate: What You'll Do Product: Drive strategic product decisions through advanced analytics and experimentation. Design and execute A/B tests, build predictive models, and develop data-driven insights that directly impact product roadmaps and business outcomes. Partner closely with product managers, engineers, and leadership to identify opportunities, measure feature success, and optimize user experiences. Risk: Identify, model, and mitigate credit and fraud risks across our platform. Build and strengthen our underwriting capabilities for credit risk, and develop predictive models to reduce fraud losses. Partner with Product, engineering and operations teams to implement scalable risk strategies. Growth: Drive strategic growth insights through robust data architecture and advanced analytics. Lead the design and implementation of scalable data pipelines, attribution models, and measurement frameworks that power marketing optimization across channels. Own end-to-end data infrastructure including customer journey tracking, incrementality testing platforms, and real-time reporting systems. What You'll Do Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain. Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc. Drive data-driven decision making across cross-functional partnerships - Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders Mentor junior data scientists and analysts and establish best practices - Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization Lead experimentation strategy and drive product innovation - Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics What We're Looking For 5+ years of experience in data science, analytics, or related fields. Proficiency in SQL and Python for data manipulation, modeling, and automation. Experience building production-ready models and pipelines. Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference). Excellent communication skills-ability to present complex insights clearly to technical and non-technical stakeholders. Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred. Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential. Perks and Benefits (What we offer): Competitive salary and equity in a high-growth startup Multiple health benefit options Responsible Time Off 401(k) matching Opportunities and support for major career growth Annual Company offsite event (Mudfest!) The salary range for this role is $185,000 - $250,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. Company Overview (Who we are): Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex. Here are the core values that we believe in and look for in new teammates: Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do Make it Count: Act like an owner by focusing on the impact of your work Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates Sweat the Details: We keep our standards high and achieve them by paying attention to every detail Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what's possible

At Webflow, we're building the world's leading AI-native Digital Experience Platform, and we're doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we're here to build it together. We're adding a Senior Staff Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You'll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. About the role: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills. United States (all figures cited below are in USD and pertain to workers in the United States) Zone A: $200,200 - $288,500 Zone B: $188,400 - $271,600 Zone C: $176,500 - $254,300 Canada (all figures cited below are in CAD and pertain to workers in the Canada) Zone A: $228,400 - $328,500 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Reporting to the VP, Data and Insights As a Senior Staff Data Scientist you'll: Drive Data Strategy at Company Scale: Define and lead Webflow's long-term data strategy, ensuring that insights, experimentation, and measurement frameworks that meaningfully influence company-wide priorities and executive decision-making. Architect Data-Informed Product Direction: Partner with senior leaders across Product, Engineering, Design, Marketing, and User Research to identify and prioritize opportunities where data can unlock step-function improvements in user experience, growth, and business outcomes. Evolve Metrics and Measurement Systems: Establish, standardize, and continuously refine product and business metrics that represent Webflow's success - ensuring they reflect a deep understanding of customer behavior and long-term value creation. Advance Experimentation and Causal Inference Practices: Lead Webflow's experimentation strategy by mentoring teams on sophisticated experimental design, causal inference, and Bayesian modeling approaches. Set best-in-class standards for measuring product impact and scaling learnings across the organization. Mentor and Grow Data Talent: Serve as a technical and strategic mentor to Data Scientists across levels. Provide guidance on analytical rigor, experimentation design, storytelling with data, and career development. Foster a culture of learning, collaboration, and excellence across the broader Data organization. Build the Next Generation of Data Infrastructure: Collaborate with Data Engineering and platform teams to strengthen Webflow's data foundations - ensuring scalable, high-quality systems that provide a holistic view of the customer journey and business performance. In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. About you: Requirements: BA/BS degree or equivalent experience You'll thrive as a Staff Data Scientist if you: Have 8+ years of experience in a Data Science (or similar) position Have interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members Have proficiency in SQL, and experience with a programming language like Python or R Curious about diving into the nuances of our business and product data Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems Our Core Behaviors: Build lasting customer trust. We build trust by taking action that puts customer trust first. Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. Reinvent ourselves. We don't just improve what exists, we imagine what's possible. Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar. Benefits Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. Time off that's actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. Wellness for the whole you. Access to mental health resources, therapy and coaching. Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. Monthly stipends that flex with your life. Localized support for work and wellness expenses - from Wi-Fi to workouts. Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program. Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. Remote, together At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. Stay connected Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note: We will ensure that 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. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review Webflow's Applicant Privacy Notice .

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Want to learn more about our Data Science Team: *********************************************************************** Learn more about our team culture here: *********************************************** Watch our talk at Amazon Tech Talks: ******************************************* StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position. What you'll be doing: Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise. Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems. Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights. What you'll bring to the table: 3+ years of industry experience Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps Have a comprehensive understanding of statistics, optimization and machine learning Are proficient in coding, data structures, and algorithms Enjoy working in a friendly, collaborative environment with others StackAdapter's Enjoy: Highly competitive salary Retirement/ 401K/ Pension Savings globally Competitive Paid time off packages including birthday's off! Access to a comprehensive mental health care platform Health benefits from day one of employment Work from home reimbursements Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto Robust training and onboarding program Coverage and support of personal development initiatives (conferences, courses, books etc) Access to StackAdapt programmatic courses and certifications to support continuous learning An awesome parental leave program A friendly, welcoming, and supportive culture Our social and team events! StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising #LI-REMOTE

Job Description About us Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. You will master the whole pipeline, from training models to putting them into production and monitoring their performance. You will work on new features, new applications, and some 0→1 solutions. You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. You have a deep experience with diffusion models, for image creation or edition**.** You've trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. You are always the most pragmatic person in the room. You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. You have experience working on products requiring complex architectures. You have a strong sense of ownership. You take initiative and you are at ease to make product & technical decisions. You have worked as part of a talented team and have experience in a fast-growing startup. You're curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. You are fluent in English (French is not required!). ✨ Hiring Process ✨ Screening call with our Head of AI Home technical assignment, reviewed with the team Culture fit interview and meet the team! Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.