• Design and analyse A/B tests across Viator’s marketplace, applying sound statistical methods to interpret results and support confident decision-making • Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections. • Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized • Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle. • Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions • Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks • Translate analytical outputs into actionable insights and clear product recommendations • Act as a thought partner with product managers and engineers to ensure the right data questions are being asked • Translate analyses into clear narratives that are accessible to non-technical audiences

Role Description Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. - Leading the development and delivery of a suite of GenAI applications in support of the global marketing organization. - Architecting and integrating complex novel data science algorithms into the fabric of these end user applications. - Ensuring application performance and adhering to enterprise compliance and best practice development standards. - Mentoring junior data scientists. Qualifications - Master’s degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a related field. - 5 years of experience in the job offered or a related occupation. - 5 years of experience with Python and SQL programming for data extraction, analysis, or integration. - 5 years of experience using cloud platforms (Google Cloud Platform, AWS, or Azure) and building data processing pipelines (Spark and Dataflow) and utilizing managed machine learning services. - 5 years of experience in A/B testing design, implementation, and analysis, and experimental design methodologies. - 5 years of experience with MLOps practices, including model deployment, versioning, and automated monitoring in production environments. - 4 years of experience in data architect and GenAI pipeline development using OpenAI, LLaMA, Gemini, Vertex AI, or AutoML. - 4 years of experience in advanced statistical modeling, machine learning techniques, including regression, classification, forecasting, and causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost, TensorFlow/PyTorch, or Pandas). - 3 years of experience in the development of GenAI and machine learning models. Requirements - Salary of $128,710.00 - $186,624.00/yr. Benefits - Immediate medical, dental, and prescription drug coverage. - Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more. - Vehicle discount program for employees and family members, and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year's Day. - Paid time off and the option to purchase additional vacation time.

Role Description At Tripadvisor Experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision-making. As a Product Data Scientist, you’ll be the analytical backbone of one or more product pods. You’ll own measurement and reporting, support experimentation, and surface the insights that drive product decisions — while actively developing your skills in more advanced analytics methods. This is a role for someone with strong foundational data science skills who is energised by the opportunity to grow. What You’ll Do - Experimentation: - Design and analyse A/B tests across Viator’s marketplace, applying sound statistical methods to interpret results and support confident decision-making. - Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections. - Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized. - Strategic Analysis & Measurement: - Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle. - Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions. - Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks. - Translate analytical outputs into actionable insights and clear product recommendations. - Stakeholder Management & Communication: - Act as a thought partner with product managers and engineers to ensure the right data questions are being asked. - Translate analyses into clear narratives that are accessible to non-technical audiences. - Be a champion of unbiased, rigorous analysis — including when the data doesn’t support a stakeholder’s hypothesis. Qualifications - Several years in a data science, analytics, or quantitative research role at a data-driven organization. - Strong product analysts who are actively upskilling in data science methods are encouraged to apply. - Advanced SQL skills and hands-on experience querying and manipulating large datasets. - Proficiency with data visualisation tools (Tableau, Looker or equivalent). - Experience with the full A/B testing process, from test design to results interpretation. - Some proficiency in Python for analysis, experimentation and exploratory modeling. - A track record of using data insights to influence product or business decisions. - Comfort with ambiguity: you can define a question when it isn’t handed to you. - A growth mindset: you’re actively upskilling in more advanced analytics methods. Nice to Have - Exposure to more advanced statistical methods and causal inference techniques. - Familiarity with LLMs or NLP tooling for analytics use cases. - Experience in travel or e-commerce; understanding of two-sided marketplace dynamics.

Role Description Data Scientist - Supply Chain Analytics - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. - Design analytical solutions that harness internal and external data, and leverage visualizations, predictive analytics, and prescriptive methods. - Collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to: - Define problems - Identify data - Develop data pipelines - Develop machine learning algorithms - Leverage operations research techniques - Deploy software solutions to provide actionable insights that deliver measurable, transformational benefits to Ford. - Evaluate large, complex data sets using tools, including SQL, Hadoop, Alteryx, Python, R, and sophisticated statistical and machine learning techniques, to develop solutions for real world, non-routine, large-scale analytics problems. - Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization. - Design intuitive visual interfaces for users to interact with data. - Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development. - Interpret modelling results and communicate them to technical and non-technical audiences, cross functional teams, and leadership. - Ensure the overall quality of the data solutions throughout the analytic development process. Qualifications - Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Statistics, Chemistry or a related field. - 2 years of experience in the job offered or related occupation. - 2 years of experience with each of the following skills: - Develop machine learning algorithm for business requirements using PySpark. - Natural language processing from pure text data, for pattern recognition or predictive analytics to help supply chain group to predict future trends and make more informed business decisions. - Design proper algorithm and develop or refine analytical models using at least 5 of the following skills: linear regression, logistic regression, generalized linear regression, time series forecasting models, decision tree, regression tree, or random forest. - 1 year of experience with each of the following skills: - Perform Data modelling and Optimization by Formulating and translating detailed business cases into mathematical/statistical problems with mathematical abstractions, and appropriate analytical optimization models. - Translation of automotive business problems into appropriate mathematical representations, predictive and optimization models. - Python Statistical software packages. - Using SQL and Python for acquiring, transforming real-world data, performing data cleaning, data collection or other data wrangling challenges. - Working in a connected vehicle environment, experience with VIN-related vehicle attributes and Hands-free driving analytics including vehicle state, weather, terrain, and even road features with connected vehicle sensors. Requirements - Salary of $66,102.00 - $186,624.00/yr. Benefits - Immediate medical, dental, and prescription drug coverage. - Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more. - Vehicle discount program for employees and family members, and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year's Day. - Paid time off and the option to purchase additional vacation time.