Senior Data Scientist - Ecommerce

Position Summary
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 challenge and great reward. 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.
Role and Responsibilities
Role And Responsibilities: Must Have Soft Skills -

• Proactive and sometimes Reactive
  • "Think and Jump right in" attitude
  • Need to be an independent contributor simultaneously valuing feedback from team members
• Work Style -
  • Be analytical and solve problems without losing sight of end goals
  • Detail 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 evaluated
  • Maintain standards most of the time however should voice new procedures and systems
• Interpersonal skills-
  • Need to be able to empathize with 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 Responsibilities

• Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and un-structured data.
• Ensure the data product is deployed with thorough testing and is of highest quality
• Communicate the results to other members of team in a clear and intuitive manner
• Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks.
• Use JIRA and Confluence as tools for Agile Project planning
• Communicate the progress and results in clear, concise and timely manner with other stake holders
• Data - Responsibilities
• Always looking out for data resources that enhance the model performance
• Clearly communicate with PMs about acquisition of the data sources
• Work with team members to develop and design solutions for data products
• Write code to clean, munge, analyze, EDA, visualize terabytes of data
• Proficient in EDA and visualizations
• Proficient in building, testing and deploying scalable and reliable machine learning models
• Debug the machine learning models with ease
• Understand the upstream and downstream interface requirements and design the solutions accordingly
• Get proficient in the in-house Data Science tools
• Always looking for avenues for automation in data pipelines wherever applicable
• Get comfortable in following "Data Science team" sprint planning procedures
• Clearly communicate with DE about deployment requirements
• Work with DE to get the data in Data Lake in required format.

Compliance - Responsibilities

• Ensure completeness of the product
• Make sure that the product is of highest quality
• Adept in documenting the Modeling work. Ensure that the documentation is complete and reviewed by Sr. Data Scientists.
• Ensure code meets team standards
• JIRA for agile development

Should have Knowledge and Experience

• Experience in Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile or Consumer electronics industries
• Agile Principles/Scrum/Kanban
• Solid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)
• Proficient in (Python/Scala/R/Java ) & SQL
• Expert in developing and debugging Machine Learning products
• Proficient in Data Visualizations

Skills and Qualifications
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 in uncovering actionable insights from data and conveying these insights to business 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 loses sight of deadlines.
• You always have an eye on the products you deployed and never assumes that everything is ok.
• You are comfortable following the procedures and coding standards set by the organization

#LI-JL1
Life @ 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.
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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
* 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.
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.