Role Description As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. - Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. - Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. - Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. - Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. - Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. - Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. - Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. - Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. - Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. - Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Qualifications - Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. - Expert Level proficiency in Python and SQL. - Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). - Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. - A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). - Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. - Leader in critical thinking, demonstrating the analysis of available facts, evidence, observations, and arguments to form a judgment through rational, skeptical, and unbiased analyses and evaluation. - Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. - Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Requirements - Advanced programming background with the ability to build simulations and prototype data products. - Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). - Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. - Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. - Mastеrs degree or equivalent relevant programs. Benefits - We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. - If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com.

Role Description As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. - Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. - Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. - Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. - Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. - Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. - Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. - Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. - Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. - Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. - Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Qualifications - Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. - Expert Level proficiency in Python and SQL. - Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). - Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. - A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). - Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. - Leader in critical thinking, demonstrating the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. - Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. - Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Requirements - Advanced programming background with the ability to build simulations and prototype data products. - Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). - Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. - Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. - Mastser's degree or equivalent relevant programs. Benefits - We strive to create an accessible and inclusive experience for all candidates. - If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. - If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com.

Title: Senior Data Scientist Locations: Malvern, PA Philadelphia, PA Charlotte, NC time type Full time hybrid job requisition id 173915 Job Description: Role Summary This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions. Responsibilities - Develop end-to-end Generative AI solutions leveraging LLMs and foundational AI components - Design and implement scalable RAG (Retrieval-Augmented Generation) workflows - Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling. - Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts. - Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. - Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. - Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. - Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders. - Participates in special projects and performs other duties as assigned. - Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets. - Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations. - Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory. Qualifications and Skills - Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles - Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field - Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Job Title: Data Scientist Location: DDMI - Okemos Full time Job Description: Location Specifics: Hybrid Position Job Summary: At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation. At Delta Dental, we celebrate our All In culture. It’s a mindset, feeling and attitude we wrap around all that we do – from taking charge of our careers, to helping colleagues and lending a hand in the community. Position Description: To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes. Primary Job Responsibilities: - Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques. - Leads the team incorporating new Data Science techniques to enhance the organization's best practices. - Applies machine learning algorithms and predictive models to solve complex business challenges. - Designs and conducts data-driven experiments to validate findings and hypotheses. - Communicates insights and results to senior stakeholders and decision-makers. - Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources. Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above. #LI-Hybrid Minimum Requirements: Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master’s degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred. Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent; excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team. The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.