Mobile Advanced Analytics Senior Manager

Position Summary

Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our position today as a tech leader, our passion for innovation has been the common thread throughout our history. We’ve grown into one of THE most recognized global brands. We consider ourselves “relentless pioneers” that push boundaries and defy barriers. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays. As EPA’s ENERGY STAR® Corporate Commitment Partner, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices, and operations.

People | Excellence | Change | Integrity | Co-prosperity

Role and Responsibilities

Position Objective

The Senior Manager, Business Analytics is responsible for NC (Tablet and PC) TAM modeling. This role will also lead ad-hoc strategic projects focused on growth initiatives and provide management support with thought leadership. The role is highly cross-functional and collaborates with sales accounts as well as product and channel marketing teams. This position reports to the Sr. Director.

Role & Responsibilities

• Solving business-related problems – Develop and implement data analysis strategies that meet the business strategy
• Establishing/operating big data infrastructure – Establish infrastructure that will collect/analyze/predict big data (structured/unstructured) and manage its operation
• Establishing/operating data design – Manage to design and operate structure to maintain data integrity
• Data modeling/assessment – Create data models to assist with decision-making processes. Manage and evaluate data to ensure consistency
• Data security – Establish a security system for data along with a strategy to protect data from unauthorized persons

Minimum Qualifications

• 8+ years-experience developing predictive models that directly inform and/or enable quantifiable business action, either by providing insights or building analytic applications
• Bachelor’s degree and 8+ years of related experience
• 6+ years Statistical modeling expertise: R required; Python; SQL
• Machine learning expertise: Time Series Regression, ARIMAX, Elastic Net Regression, GLM Regression (linear, logit, multinomial), K-Means/Hierarchical Clustering, Decision Tree required; Neural Network, Bayesian Regression
• Data scale expertise: Regular use of data with high-volume (1TB+) & high-dimensionality required
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Have operations, sales, marketing or service industry experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Strong knowledge of statistical methods and particularly in the areas of predictive modeling and classification.
• Extensive mobile industry knowledge, experience solving analytic problems using quantitative approaches and a proven passion for generating actionable insights and predictions from data.
• Master’s degree and 6+ years of related experience

Skills and Qualifications

• Has a wide range of experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways

• Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results. Determines methods and procedures on new assignments and coordinates other’s tasks

• May manage a group such as coordinating activities regarding costs, methods and staffing

• Typically requires at least 8 years of related experience and a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years

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