Senior Data Scientist - eCommerce

Sr. Data Scientist/Machine Learning Engineer – Recommender Systems If you have ambitions to be a part of a Best in Class organization, Samsung’s Ecomm ML&AI team is the place to be! The role of the team is to support our marketing and business channels through innovative ML & AI solutions. The dynamic culture at Samsung offers both great challenges and great rewards. If you want to work among the very best talent in the industry, working on the most innovative products in the world, Samsung is the place to be. Requirements: *You have MS or PhD in Mathematics, Computer Science, Engineering, or Economics (required). *You are an expert in building and deploying recommender systems at scale to enhance customer journey experiences on websites and apps. * You are adept in designing and implementing machine learning solutions to enhance site search. *You have 3-6 years of experience in Big Data environment specifically Hive/Spark where you have deployed reliable models that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data. *You have worked with massive structured/unstructured data sets before and have a strong grip on machine learning techniques especially able to debug an algorithm with ease. *Given a data problem you know the right data science technique to be applied (such as GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, Decision Tree (RF, GBM, XGboost, Neural Networks, Bayesian Statistics, Times Series, & A Priori, etc.) & Deep Learning based recommendations, Market-Based analysis, Collaborative filtering, Content filtering, etc. *You are a solid coder who uses SQL & (Python/Spark/R) to deploy machine learning products into production. *You are highly enthusiastic about uncovering actionable insights from data and conveying these insights to businesses as stories that stick. *You are a strong analytical person who loves solving business problems using massive data sets. *You interface with leadership and team members to get clarity on your requirements, end goals, and deliverables. *You are detail-oriented but never lose sight of deadlines. *You always have an eye on the products you deploy and never assume that everything is ok. *You are comfortable following the procedures and coding standards set by the organizationRole And Responsibilities:

Must Have Soft Skills –Proactive and sometimes Reactive

"Think and Jump right in" attitudeNeed to be an independent contributor simultaneously valuing feedback from team members

Work Style –

Be analytical and solve problems without losing sight of end goalsDetail-oriented but never lose sight of deadlines

Procedure Oriented

Clearly understand and agree on the standards set by the leadership and how they will be evaluatedMaintain standards most of the time however should voice new procedures and systems

Interpersonal skills-

Need to be able to empathize with the team and be able to control his/her internal state to handle the work load during ambitious targets.Given ambitious deadlines be proactive and extract clarity on requirements, deliverables, and tasks from PM and leadership

Quality Control

–

Constantly check on models and not assume that things are ok.

Core ResponsibilitiesFollow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and unstructured data.Ensure the data product is deployed with thorough testing and is of the highest qualityCommunicate the results to other members of the team in a clear and intuitive mannerInterface with leadership and team members regularly to brainstorm ideas, and communicate progress and risks.Use JIRA and Confluence as tools for Agile Project planningCommunicate the progress and results in a clear, concise, and timely manner with other stakeholdersData - Responsibilities

Always looking out for data resources that enhance the model performanceClearly communicate with PMs about the acquisition of the data sourcesWork with team members to develop and design solutions for data productsWrite code to clean, munge, analyze, EDA, and visualize terabytes of dataProficient in EDA and visualizationsProficient in building, testing, and deploying scalable and reliable machine-learning modelsDebug the machine learning models with easeUnderstand the upstream and downstream interface requirements and design the solutions accordinglyGet proficient in the in-house Data Science toolsAlways looking for avenues for automation in data pipelines wherever applicableGet comfortable in following the "Data Science team" sprint planning proceduresClearly communicate with DE about deployment requirementsWork with DE to get the data in Data Lake in required format.Compliance - ResponsibilitiesEnsure completeness of the productMake sure that the product is of highest qualityAdept in documenting the Modeling work. Ensure that the documentation is complete and reviewed by Sr. Data Scientists.Ensure code meets team standardsJIRA for agile developmentShould have Knowledge and ExperienceExperience in Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile, or Consumer electronics industriesAgile Principles/Scrum/KanbanSolid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)Proficient in (Python/Scala/R/Java ) & SQLExpert in developing and debugging Machine Learning productsProficient in Data Visualizations#LI-JL1Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.Necessary Skills and Attributes:Ability to work cooperatively and build strong relationships with peers and senior leadership locally and globally; sharing ideas and developing effective business processes in support of the company mission. Ability to collaborate and be comfortable dealing with ambiguity, influencing across multiple complex organizations, creating effective business partnerships. Polished interpersonal skills, including strong verbal and written communication skills in local market language. Ability to effectively manage multiple projects, have attention to detail and work effectively under deadlines in a collaborative and matrixed environment.Samsung Electronics America, Inc. is committed to employing a diverse workforce, and provides 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.