Data Scientist III

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

You will play a pivotal role in Staples’ future by building and applying key analytical models, products, and solutions to enhance data driven methods and analytics for Staples Media Network. Staples is developing a retail media network, growing at an impressive rate year over year, with room for innovation to drive scale. You will design, develop, and deploy programs, models, and ML/AI algorithms to efficiently analyze data and optimize decision making for the media team and vendors. You are naturally curious and stay current on the MadTech/AdTech ecosystem, digital marketing, and retail media landscape.

At Staples our Digital Solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, Agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners, and deliver reliable, customer-centric technology services. If you want to be on the front lines, driving one of the greatest technology transformations of the 21st Century, you should join our team!

What you'll be doing:

• Develop and deply analytical solutions across a variety of functions, including, but not limited to: customer acquisition, customer retention, product development, ROAS, etc. 
• Build and test audience targeting strategies and models, including relevancy, re-targeting, look-a-like models, etc.
• Identify relevant data sources and pipelines, and collect large structured and unstructured datasets and variables that can be leveraged for reporting and measurement
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis, and clean and validate data for uniformity and accuracy
• Research and analyze data to find deep relations within data to be used in the ML/AI algorithms
• Design and implement ML/AI algorithms & work with engineers to apply algorithms to production
• Analyze data and translate results into tailored reports and findings for vendors and business partners
• Work across multi-disciplinary teams to translate business needs into testable hypotheses and then design experiments to test said hypotheses
• Collaborate with Vendor Analytics and Reporting team to develop customized KPIs and visualizations for vendors and business partners

What you bring to the table:

• Significant relevant experience building and deploying advanced analytics solutions in retail media and/or B2C environment. Relevant topics include: customer acquisition, customer segmentation and targeting, customer LTV maximization, churn prevention, ROAS, etc)
• Data wrangling (SQL, R, Python, PostGRESql, Spark, Hadoop/Hive),
• Data Modeling (R, Python, SAS, RapidMiner, SPSS), Data visualization (Tableau, Microstrategy)
• Experience building in-production models, including associated scripting, error handling and documentation

Qualifications :

What's needed - Basic Qualifications:

• BA/BS inStatistics, Applied Math, Computer Science, or another relevant field

What's needed - Preferred Qualifications:

• Minimum of 3+ years of experience as a Data Scientist

We Offer:

• Inclusive culture with associate-led Business Resource Groups and resources such as the Social Justice Resource Center.
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays), Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits.