Sr. Data ScientistApply Now Job ID: R0000142592 job family: Data Science schedule: Full time Location: 1000 Nicollet Mall, Minneapolis, Minnesota, United States, 55403-2542;
Join Target’s Data Science and Analytics team where your goal will be to accelerate omni-channel experimentation to foster a culture of continuous innovation at Target. We believe that continuous innovation is critical to delivering and exceeding our brand promise of “Expect More Pay Less” to Target’s guests irrespective of their preferred channel of engagement and commerce. You will enable continuous innovation and drive business performance in our Merch Planning Data Sciences space.
A role with Data Science and Analytics is a chance to help develop our in-house strength for getting the maximum value from Target’s many data assets. We see data as a product and an opportunity to experiment and refine our approach to new guest experiences. Together, we positively impact changes to various initiatives, processes and interdependencies that require exceptional data collection, measurement and analysis—ultimately leading to quicker and more meaningful decision-making. This is a role for someone passionate about data, feature experimentation and business strategy.
As a Senior Data Scientist in DSA you’ll:
Serve as an advocate of our data-driven culture with Product, Business and Engineering to help them utilize insights that’ll direct their efforts towards initiatives with highest impacts
Develop statistical models to drive efficient analysis practices, providing metrics on model performance
Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques and statistics
Analyze and explore data in our Hadoop ecosystem, work with the product teams and business partners to design in-product experiments, analyze the results, and provide strategic recommendations.
Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution
Partner closely with our Product Managers and/or business partners to identify gaps in product offering by conducting comprehensive data analysis, and accelerating the analytics maturity (predictive & prescriptive) in key business areas
Define data to be collected for measuring the success of new product features or business strategies, define KPIs
Strive for query optimization on large data sets
Design and build self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insight from data to influences business decisions
Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker
M.S. in Mathematics, Statistics, Computer Science or related field OR equivalent experience
3+ years of experience deploying algorithms in a production environment
Experience designing algorithms on a Hadoop ecosystem
4+ years of experience using data science and technology approaches to solve real business problems
Proficiency at scale with the following: SQL, Python, R, Hadoop, Spark, Hive, visualization software, etc.
Understand technical and analytical approaches in predictive modeling
Excellent communication skills with the ability to speak to both business and technical teams as well as clearly translate ideas between them
Comfort with ambiguity and open-ended problems
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.
What’s it like to work here? We’re asked that a lot. Target respects and values the individuality of all team members and guests—and we have lots of fun in all that we do.experience our culture