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Company

Original Job Post

Adobe · 2 days ago

Director, Data Science - Customer Engineering

San Jose, CA

Full-time

Onsite

Senior Level, Director

$192K/yr - $346K/yr

10+ years exp

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Responsibilities

Analyze large and complex data sets related to AEP customer platform health, usage, and performance metrics to uncover insights and identify opportunities to improve customer support processes, system implementation, or product enhancements

Develop and monitor AEP key performance indicators (KPIs) and metrics to track customer-level E2E platform health, capability usage and adoption, value realization, and other critical customer platform success measures

Conduct exploratory data analysis to identify patterns, trends, and correlations that can inform product and engineering strategy and guide decision-making

Collaborate closely with product managers, engineers, and other cross-functional teams to understand customer product goals, translate business questions into analytical tasks, and provide data-driven recommendations

Build statistical models and machine learning algorithms to predict customer issues, identify product adoption drivers (points of struggle), personalize product support interactions, and optimize product performance

Communicate findings and insights effectively through clear data visualizations, reports, and presentations to technical and non-technical stakeholders

Partner with engineering and other business intelligence teams to design and automate data pipelines, improve data tracking, data quality, and the overall data infrastructure supporting customer and platform analytics

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine learningPredictive modelingData miningStatistical techniquesPythonSqlBig data toolsSparkHadoopData visualizationTableauCloud platformsAmazon web servicesData processingModel deploymentData storytellingVisualizationsProblem-solvingAnalyticalCuriosityInnovative business acumenConsultative approachLeadershipProject managementPrioritization

Required

10+ years’ experience in data science or related analytics roles (product, customer analytics)

Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques

Proficiency in programming languages like Python, SQL, and working with big data tools like Spark and Hadoop

Experience with data visualization tools like Tableau for effectively communicating insights

Knowledge of cloud platforms like Amazon Web Services for data processing and model deployment

Excellent analytical and problem-solving abilities to extract insights from complex datasets and drive data-driven decision-making

Curiosity and passion for exploring new techniques and staying updated with the latest advancements in data science

Innovative mindset to develop novel solutions and find the 'next big thing' that differentiates the organization

Strong business acumen to understand organizational goals and translate them into analytical tasks

Ability to communicate complex technical concepts simply through data storytelling and visualizations

Consultative approach to collaborating with cross-functional teams and stakeholders

Leadership skills to guide and mentor junior data scientists and drive data science strategy

Project management experience to oversee end-to-end data science projects and initiatives

Ability to prioritize and manage multiple projects simultaneously while meeting deadlines

Company

Adobe

Glassdoor

4.3

Adobe is a software company that provides its users with digital marketing and media solutions.

Founded in 1982

San Jose, California, USA

10,001+ employees

http://www.adobe.com

H1B Sponsorship

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Trends of Total Sponsorships

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2020 (522)