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.