Data Scientist

What You’ll Do • What the role is about: As a Principal/Staff Data Scientist , you will serveas a senior individual contributor responsible for defining analytical approaches,scoping complex data science projects, and delivering high-impact solutions acrossmultiple industries. You will tackle highly complex and ambiguous problems,architect end-to-end data science workflows, and provide deep technical guidanceto cross-functional teams—without direct people management responsibilities.• What impact this role has: Your expertise will shape the technical direction of datascience initiatives, influence solution design across teams, and help internal andexternal stakeholders make well-informed decisions. By leveraging advancedmodeling, statistical rigor, and deep domain insight, you will ensure thdelivers scalable, high-quality analytical solutions that drive measurable businessvalue for our clients.• What success might look like: Success in this role means independently leadingthe most challenging parts of data science engagements, producing reliable andscalable solutions, and serving as a trusted technical advisor to product managers,engineers, and business stakeholders. You will be recognized for your ability totranslate complex business problems into well-scoped analytical strategies, and forconsistently raising the technical bar across the team.Who You’ll Work With • An outline of the team: You will be part of a collaborative and dynamic data scienceteam that works closely with data engineers, project managers, solution architects,and business stakeholders. You will contribute as a high-level technical expert,helping teams navigate complexity and ensuring that analytical solutions are sound,scalable, and aligned with business needs.• The role and the team play : The data science team plays acrucial role in transforming data into strategic assets. As a Principal/Staff DataScientist, you will influence the technical direction of projects, contribute reusablemethodologies, and help shape best practices for developing advanced analyticalsolutions across multiple engagements.• Who the position reports to: This position reports to the Data Science TeamManager.What Makes You a Qualified Candidate / Non-negotiable qualification: • Minimum of 4 to 8 years of experience in data science, machine learning, or appliedanalytics.• Expertise in programming languages such as Python and SQL.• Strong understanding of advanced statistical methods, machine learning, deeplearning, and GenAI techniques.• Proven ability to scope, architect, and technically lead complex data scienceprojects without direct management responsibilities.• Excellent communication and presentation skills, with the ability to engage bothtechnical and non-technical audiences.What You’ll Bring • Advanced Data Analysis and Modeling: Perform highly complex data analysis andbuild sophisticated predictive and prescriptive models using advanced statistical,machine learning, and deep learning techniques.• Technical Leadership: Define analytical approaches, scope data sciencecomponents in partnership with PMs, and lead the technical direction of projectsacross multiple industries.• Cross-Functional Collaboration: Work closely with data engineers, productmanagers, and business stakeholders to align on requirements, solution direction,and implementation plans.• Data Exploration: Explore large and diverse datasets to uncover insights, evaluatefeasibility, and guide model and feature design.• Model Deployment: Collaborate with engineering teams to implement, optimize,and maintain machine learning models in production environments, ensuringscalability, performance, and reliability.• Mentorship: Provide informal technical mentoring, conduct deep code/modelreviews, and guide other data scientists in best practices—without direct peoplemanagement.• Communication: Present complex findings, trade-offs, and solution paths totechnical teams, business partners, and customer stakeholders in a clear andconcise manner.• Continuous Improvement: Stay current with emerging data science, machinelearning, and GenAI advancements, applying new techniques to enhance solutionquality and accelerate delivery.