Data Scientist- Marketing Activations

Samsung; Ridgefield Park (NJ); Presencial; USD 100.000 - 130.000; Jornada completa

Descripción de la vacante

Samsung is seeking a Data Scientist based in Ridgefield Park, NJ, focused on extracting, cleaning, and analyzing data to support marketing initiatives. The ideal candidate will develop and maintain data science models and communicate findings to business stakeholders.

Applicants should have a Master’s degree in Data Science or related field and a minimum of 5 years of relevant experience. Strong skills in Python, SQL, and machine learning are essential.

Formación

• 5+ years of experience in developing and maintaining Data Science applications/solutions.
• Proficiency in statistical analysis, hypothesis testing, and predictive modeling.
• Experience with ML algorithms for classification, regression, clustering, and recommendation systems.

Responsabilidades

• Extract, clean and analyze large volumes of data for marketing initiatives.
• Develop and maintain data science models to optimize marketing strategies.
• Communicate analytical concepts to non-technical stakeholders.

Conocimientos

Python

R

SQL

Statistical Analysis

Predictive Modeling

Machine Learning

Data Visualization

Educación

MS in Data Science, Statistics, Computer Science, or related field

Herramientas

Hadoop

Spark

AWS

Azure

GCP

Descripción del empleo

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.