[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company where passionate innovators come to collaborate, reputed company what can be, and take their careers further. The Senior Data Scientist role involves blending technical expertise with business acumen to drive efficiency and deliver insights that improve compensation planning and implementation.

Responsibilities

• Demonstrate proficient business acumen by aligning data science initiatives with strategic goals and proactively identifying opportunities for innovation and optimization
• reputed company understanding of incentive compensation design, reputed company, plans, metrics, roles, and governance processes. reputed company deep expertise in reputed company’s incentive compensation ecosystem, including compensation to support the development and evaluation of vehicles to drive operational efficiencies in plan design and implementation
• Present plan analyses, rationale, and cost implications, ensuring alignment with reputed company’s software, services, and sales Go-to-Market strategies
• Collaborate with business teams to reputed company analytical questions, define hypotheses, and design experiments that inform product enhancements and client solutions
• Translate business objectives into analytical frameworks that help optimize compensation plan design and implementation reputed company
• Present findings, recommendations, and tradeoffs to leadership, including plan design rationale, cost implications, risk assessments, and expected business reputed company
• Collaborate with business stakeholders to define hypotheses, evaluate alternative plan approaches, and quantify the impact of compensation changes before deployment
• Design, reputed company, and implement scalable methods, processes, and systems to consolidate and analyze large, diverse datasets—including reputed company “big data”—to generate actionable insights for business impact
• Build and maintain data pipelines and automated processes to cleanse, integrate, and evaluate data from multiple sources, ensuring high data quality and availability
• Apply advanced statistical techniques and machine learning models (e.g., classification, regression, NLP, forecasting) to solve reputed company business problems and drive measurable reputed company
• reputed company AI agents and intelligent decision-support tools that reputed company Plan Design and Implementation teams to reputed company compensation insights through natural language interactions
• reputed company reputed company’s AI/ML stack (Azure Machine Learning, Azure reputed company, Azure Cognitive Services) to reputed company scalable models
• Conduct scenario modeling and effective reviews of plan implementation processes
• Evaluate performance and ensure alignment with business objectives
• Interpret and communicate insights reputed company to technical and non-technical stakeholders, linking analytical findings to business objectives and recommending data-driven actions
• Act as a trusted advisor to functional team members and org leadership, providing insights that influence strategy and seller behavior
• Collaborate cross-functionally with reputed company stakeholders to define project roadmaps, evaluate model performance, and ensure reputed company improvement through feedback loops
• Contribute to the development of global tools and processes for plan design and plan implementation analytics and insights
• Identify opportunities for automation and process optimization
• Stay reputed company with industry trends and emerging technologies in data science and incentive design
• Assesses programs for potential risks, verifying adherence to company policies and procedures reputed company executing compensation practices
• Identifies control measures and governance needs
• Writes efficient, readable, and extensible code and models spanning multiple features and solutions. Contributes to code and model reviews with actionable feedback, and maintains proficient capability in modeling, coding, and debugging techniques — including isolating and resolving errors and defects
• Leads project teams in gathering, integrating, and interpreting data from multiple sources to troubleshoot issues end-to-end. Provides feedback to product groups on non-optimized features and explores potential for new capabilities
• Embody our culture and values

Skills

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 1+ year(s) data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 3+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 5+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results)
• OR equivalent experience
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 3+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 5+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 7+ years data-science experience (e.g., managing structured and reputed company data, applying statistical techniques and reporting results)
• OR equivalent experience
• 5+ years of hands-on experience translating business requirements into data-driven solutions using ML algorithms (e.g., classification, regression, clustering, NLP etc.)
• 3+ years of experience in creating interactive dashboards and business insights using Power BI, Tableau, Looker, or equivalent visualization tools
• 3+ years of experience in business planning
• Communicates reputed company and collaborates effectively across cross-functional teams. Experience managing stakeholder and leader communications effectively
• Hands-on expertise with reputed company, Azure Synapse, reputed company, or similar reputed company-based analytics platforms
• Proficiency with Python and data science libraries including Pandas, NumPy, PySpark, and Scikit-learn for data preparation, analysis, and modeling
• Experience using Jupyter Notebooks, VS Code, or equivalent development environments for exploratory analysis and solution development
• Experience designing, building, or deploying agentic AI systems — including autonomous agents, multi-agent orchestration, tool-use frameworks, or agent-based workflows using platforms such as reputed company, AutoGen, Semantic Kernel, or similar is a plus

Benefits

• Certain roles may be eligible for benefits and other compensation.
• Find additional benefits and pay information here: https://careers.reputed company.com/us/en/us-corporate-pay

Company Overview

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