Data Scientist, Analytics & Insights

Data Scientist, Analytics & Insights

Our Mission is to be #1 by creating a better life for our customers. At LG Electronics, we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make "Life Good"! As a global leader, we strive for greatness not only in the products we make but in our people. That is why we are currently seeking the newest innovator to join our dynamic team as Senior Magento Developer located in Englewood Cliffs, NJ. This role is onsite.

Working at LG Electronics offers numerous benefits, and opportunities for professional growth. With a diverse range of products and services, LG provides a dynamic and innovative work environment. Employees at LG can expect to work with cutting-edge technologies and collaborate with talented individuals from diverse backgrounds. LG emphasizes a culture of continuous learning and development, providing employees with resources and training to enhance their skills and stay ahead in their respective fields. Furthermore, LG places importance on work-life balance, employee well-being, and offers competitive compensation packages. Joining LG means being part of a forward-thinking organization that strives for excellence and offers exciting opportunities for personal and professional success.

In this role you will be working on our Analytics, Insights and Data Sciences (AID) within the CXM|dXp division of LG Electronics USA. On this team we foster an atmosphere of collaboration, exploration and innovation. We value teamwork, creativity, and a customer-centric approach where you will focus on digital transformation.

Responsibilities:

• Design and deliver data-driven insights and automation for marketing (using statistics, data mining, machine learning, and deep learning techniques as applicable)

• Work with various client marketing teams to understand their challenges and create solutions

• Be a thought leader for your team on projects and about leading technologies

• Stay on top of technologies and trends in data science in marketing

• Support Ad hoc data analysis requirements as needed

Qualifications & Skills:

• A Bachelor's degree in any of the following areas - mathematics, statistics, data science, physics, computer science or social sciences heavy in quantitative methodologies like economics, psychology, political science, sociology

• Demonstrated proficiency coding and with SQL & python

• Between 4-5 years of work experience in marketing or related fields ( ecommerce, digital marketing-Media and Advertising ) working in data sciences or data analytics with h ands-on experience in building Statistical and Machine learning models for regression, clustering and classification. Experience with time series techniques and forecasting (VAR, VEC, Arima) a plus.

• Some experience with AWS, Azure or GCP required. Experience with Google Marketing platforms and GCP preferred (Big Query and BQML)

• Experience working with GA360 log level data a plus

• Demonstrated ability to take a business problem and translate it into an analysis design and implementation

• Strong communication skills, with ability to present complex concepts in a clear and succinct manner using spreadsheets, slides, or interactive data products (Tableau, etc.)

At LG Electronics, we aspire to empower people and celebrate differences because we believe diversity will create the unexpected. We provide equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law or other protected traits/characteristics. Consistent with our commitment to providing equal opportunity and embracing diversity, we have implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.

In addition to the above, we believe that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take in account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. We consider geographic pay differentials in final offers. Because we operate in many geographies and have many business units across the United States, where applicable, may not reflect the specific business or geography differential that will apply to the final offer.