Data Scientist - eComm Applied Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

What you'll do...

Are you a full stack data scientist who has the passion to evolve and redefine customer experience with the power of the world’s largest omni-retail data? The data scientist is a critical Core Innovation role in the eComm “Available To Promise (ATP)” Applied Science team. In this role, you will be able to iterate on our data strategy, transform model and analytic insights into actionable business strategies, and build one-of-a-kind real time ML services that ingest, model, and analyze massive flows of data. This is a high visibility, high impact role in a rapidly growing data science team that uses cutting edge technologies in AI/ML to drive engagement, conversion, and to get our customers the perfect orders.

You’ll sweep us off our feet if:

• You have a deep knowledge of machine learning algorithms such as linear regression models, support vector machines, clustering, tree-based models, and deep learning and can rapidly prototype solutions with Python and/or SparkML.
• You have experience in big data processing (Spark/BigQuery/Hive/Hadoop/HDFS).
• You have experience in setting up A/B testing and/or conducting causal inference.
• You have an ability to build strong partnerships through collaboration.

You’ll make an impact by:

• Model Development: Develops data models (algorithms, approaches) for workstreams and individual projects within a business area or category to drive business results and value. Collaborates with project team to implement modeling solutions.
• Experiments: Design and execute data experiments
• Analytics: in-depth investigation of key drivers of capacity imbalance. Work with large, messy, disparate datasets and conduct ad hoc “back of the envelope” analyses to quickly inform critical business decisions. Develop metrics and dashboards to monitor and quantify the impact of changes you make.
• Collaboration: Collaborates with many different data science teams to serve as an integrated part of the next generation omnichannel ecosystem
• Business Partnerships: Prepares first draft of presentation to communicate strategic recommendations to business management, based on research and data analysis. Supports the implementation of business solutions by building relationships and partnerships with key stakeholders.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Benefits & Perks:

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid parental leave, PTO, multiple health plans, and much more.