Data Scientist- Marketing Activations

Key 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 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.
• Work closely 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 and adapt 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.

Core Qualifications

• MS in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience in 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 in cloud platforms like AWS, Azure, or GCP is desirable.

Personal Attributes

• Curious, ownership, and 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.

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity 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.