Join Samsung as a Data Scientist in Marketing Activations

We are excited to announce an opening for a skilled Data Scientist to join our Marketing Activation team at Samsung Electronics America. As an integral part of our team, you will design data solutions to optimize marketing strategies, drive customer engagement, and enhance the overall customer experience.

Job Summary

In this role, you will analyze vast datasets, develop predictive and other data science models, and collaborate cross-functionally to inform marketing decisions. Samsung provides a global platform where your contributions can have a lasting impact. We're committed to an inclusive culture and diverse workforce, inspiring innovators to be their true selves. Together, we're building a better tomorrow for our customers, partners, and communities.

Role and Responsibilities

• Extract, clean, and analyze large volumes of data from various sources to support different marketing initiatives.
• Develop and maintain prediction, optimization, and other data science models to understand consumer needs and optimize marketing strategies.
• Analyze the performance of data science models and results of different marketing tests using statistical validation methods.
• Develop methodologies for segmenting customer data to tailor different marketing initiatives.
• Collaborate with marketing, analytics, and business stakeholders to define and achieve data goals.
• Work with engineering and product teams to productize data models and solutions.
• Clearly communicate complex analytical concepts and findings to non-technical stakeholders.
• Write clean, efficient, and reusable code, and contribute to existing documentation, adapting content based on product/program updates and user feedback.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Stay abreast of the latest trends in data science relevant to marketing, ensuring a deep understanding and application of the latest tools, techniques, and best practices.

Skills and Qualifications

Core Qualifications

• MS in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience developing and maintaining data science applications/solutions for marketing, finance, or other business-related fields.
• Proficiency in statistical analysis, hypothesis testing, and predictive modeling.
• Experience with ML algorithms for classification, regression, clustering, and recommendation systems.
• Ability to apply data science/analytics framework to analyze consumer behavior, segmentation, and marketing performance.
• Proven expertise in handling and analyzing large datasets and complex variables.

Skills and Technical Expertise

• Proficiency in programming languages such as Python and/or R and data manipulation tools (SQL, Pandas, etc.).
• Advanced knowledge of data science frameworks, libraries, and statistical methods.
• Experience with big data technologies including Hadoop, Hive, Spark, etc.
• Familiarity with data visualization tools and techniques.
• Experience with cloud platforms like AWS, Azure, or GCP is desirable.

Personal Attributes

• Curiosity, ownership, and an outcome mindset with the ability to pivot as per business requirements.
• Strong analytical and problem-solving skills.
• Proactive and innovative mindset with a willingness to challenge the status quo.
• Excellent communication and collaboration skills.

Join the Samsung family and be part of a team dedicated to innovation and growth. Explore more about life at Samsung and discover the extensive benefits we offer .

Equal Employment Opportunity

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, providing equal employment opportunities for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Reasonable Accommodations

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with