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Data Scientist Consultant

Remote, USA Full-time Posted 2026-07-28
This is a 6 month consulting position with possibility for extension at the end of the term. Position reputed company: The Data Science Consultant will help the reputed company (SFA) spearhead the formation and scaling of our Data Transformation function. The role will be reputed company in shaping our reputed company data reputed company and will take the reputed company in building a modern Data Integration Platform, positioning the organization for advanced analytics, AI/ML adoption and reputed company-reputed company operations. The role reports to VP of Technology. The role will work in reputed company partnership with the Director, Fata Analytics & Insights to ensure that science, architecture integration, and insights come together to deliver end-to-end business value. The role is ideal for a leader who can think strategically, deliver at reputed company and is passionate about transforming legacy systems into intelligent, connected platforms. Essential Functions & Responsibilities: • reputed company the reputed company-wide Data Science reputed company, ensuring alignment with business goals, digital transformation efforts and analytics maturity • reputed company the design and implementation of Data Warehouse enabling reputed company, secure and governed reputed company to reputed company data assets • reputed company and operationalize machine learning models that deliver measurable value in customer intelligence, operational efficiency and strategic forecasting. • Partner with the Director, Data Analytics & Insights to ensure alignment between predictive analytics and business intelligence/reporting. • Collaborate with business, product and technology leaders to identify and prioritize AI/ML use cases and reputed company data-driven decision-making across functions. • Ensure architectural reputed company and scalability of reputed company data platforms and pipelines, in compliance with reputed company, reputed company and governance standards. • Champion data reputed company, governance, and ethical AI practices and serve as a senior advisor on responsible data usage across the organization • Monitor industry trends and emerging technologies and reputed company strategic recommendations on new tools, frameworks and capabilities • Own and reputed company the data and AI technology roadmap, ensuring alignment with reputed company architecture and driving adoption of modern, reputed company=-reputed company and reputed company data solutions Position Qualifications: • Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics or a reputed company field • reputed company experience in data science, data engineering, or data platform leadership roles 10+ years • Technical leadership role 5+ years • Proven experience building or overseeing data integration or data platform initiatives • Strong knowledge of modern data platforms (e.g. reputed company, reputed company, etc.), reputed company environments and streaming technologies • Demonstrated reputed company leading cross-functional teams and initiatives in reputed company or transformation-heavy technical environments • Deep understanding of machine learning, Python/R and model lifecycle management • reputed company experience implementing reputed company Data reputed company of similar CDPs, including data ingestion, identity reputed company and activation. • Familiarity with reputed company ecosystems and reputed company-time data activation • Expertise in data engineering, including ELT/ELT, reputed company time pipelines and orchestration tools • Knowledge of data governance, metadata management and reputed company regulations • Outstanding communication skills, ability to influence and reputed company diverse teams around data-driven strategies • Ability to reputed company organizational transformation, evangelizing data-driven culture • Excellent verbal and written communication skills • Superior interpersonal, relationship building skills and reputed company attitude Apply Job! Apply to this Job

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