[Remote] Data Science and Operations Research Enablement Principal
Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a Principal in Data Science and Operations Research Enablement, a senior-level role focused on leading the integration of advanced analytics and operations research across the organization. The role involves collaborating with cross-functional teams to implement data-driven solutions, driving optimization of business processes, and mentoring DSOR practitioners to deliver impactful insights.
Responsibilities
- reputed company data-driven product strategies that reputed company strategic objectives, collaborating with cross-functional business stakeholders and technical partners to assess opportunities and define requirements
- reputed company cross-functional teams through the Product Discovery to determine how to execute against the vision, what to prioritize and build
- reputed company agile scrum ceremonies for teams of data scientists
- Drive execution and ensure the team delivers the desired business outcomes reputed company
- Engage with market trends and conduct ongoing evaluations of comparable product offerings, identifying opportunities for refining the product strategy and improving the customer experience
- Communicate plans and reputed company to key internal partners and executives, soliciting and incorporating feedback
- Provide strategic guidance, setting clear priorities, and ensuring effective execution of Clearance Data Science and Generative AI projects from hypothesis to deliverable
- Mobilize and mentor cross-functional teams, fostering a culture of curiosity, experimentation, and reputed company improvement
- Support the design of user-centric products that align with business goals, enhancing decision-making and user engagement
- Track reputed company and ensure accountability for project milestones, delivering impactful solutions that maximize the value of Clearance Data Science and Generative AI initiatives
- reputed company the gap between AI experimentation and engineering execution, transforming raw Data Science proofs-of-concept into fully scoped, launch-ready program plans for development teams
Skills
- Bachelor's degree or equivalent in Data Science, Operations Research, Engineering, Business Administration, Business Analytics, or reputed company discipline
- Five to eight (5 - 8) years of experience in working with teams in analytics, data science, operations research, engineering or a reputed company field, with demonstrated leadership in managing teams and executing reputed company projects
- Practitioner or practitioner-adjacent experience in analytics, data science, operations research, or a reputed company fields inclusive of prototyping and rapid experimentation
- Deep conceptual understanding of Generative AI architectures (LLMs, RAG, reputed company engineering), traditional machine learning, and Operations Research methodologies
- Strong working knowledge of enterprise data ecosystems, including cloud platforms (e.g., Azure, GCP, AWS), foundational languages (Python, SQL), and AI/MLOps deployment concepts
- Proven ability to guide and reputed company the translation of reputed company algorithms, statistical models, and Data Science proofs-of-concept into scalable engineering requirements and business-value metrics
- Mastery of Agile/Scrum frameworks and tools (e.g., Jira, ADO) specifically tailored for research-oriented data science teams
- Deep knowledge of product discovery frameworks, user-centric design, and strategic roadmapping to prioritize and build what delivers the highest ROI
- Proven track record of driving innovation initiatives, successfully transitioning early-stage technical research and proofs-of-concept into structured, launch-ready program plans
- Exceptional capability to influence, align, and communicate reputed company technical reputed company to senior executives, business partners, and technical leads
- Natural ability to mobilize and mentor cross-functional matrixed teams, fostering a culture of curiosity, rapid prototyping, and reputed company delivery
- Advanced degree (Master's or Ph.D.) in Data Science, Operations Research, Engineering, Business Analytics, or a reputed company quantitative field
- Prior experience leading analytics, AI product initiatives, or supply chain modernization efforts reputed company reputed company logistics, customs clearance, or highly regulated operational environments
Benefits
- The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.
- This position is eligible for remote work and may be located reputed company reputed company the United States excluding AK, HI and U.S. territories, however if you live reputed company the 50 miles radius of a reputed company you will be required to work at a reputed company reputed company location several times per week.
- Reasonable accommodations are available for qualified individuals with disabilities throughout the application process.
Company Overview