Senior Data Scientist

What you'll do...

Position: Senior Data Scientist

Job Location: 221 River Street, Hoboken, NJ 07030

Duties: Translate/co-own business problems within one's discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems. Support efforts to ensure that analytical models and techniques used can be deployed into production. Support evaluation of the analytical model. Support the scalability and sustainability of analytical models. Write code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Refresh the models based on required cadence. Productionalize the models using internal infrastructure. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.

Skills required: Experience developing data pipelines via SQL and Python-based ETL framework. Experience extracting usable data from valuable data sources using BigQuery and SparkSQL. Experience processing, cleansing, and validating the integrity of data to be used for analysis in a programming language (Python or R). Experience using machine learning tools to select features and create and optimize classifiers using Python or R. Experience implementing algorithms and statistical models to measure the marketing performance and help advise marketing strategy. Experience visualizing results/findings in a data visualization tool: Tableau, Power BI, or Looker. Experience managing Data Storage and Infrastructure in Google Could Platform (GCP). Experience analyzing web touchpoints of customer journeys using Adobe Analytics. Experience collaborating with multifunction teams through Office Suite, Confluence Page, and JIRA. Experience controlling version changes in code and data and maintaining a history of the project using Github. Experience applying Machine Learning/Statistical modeling for generating statistical insights, including Marketing Mix Modeling, Bayesian Model, Time Series Model, and Clustering (VS code editor and R Studio). Employer will accept any amount of experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.