Vacancy caducado!
Senior Data Scientist (Michaels Stores, Inc. – Irving, TX); Multiple positions available. Develop systems and techniques for identifying business trends and challenges through complex big data analysis. Interpret results from multiple sources using techniques including statistical analysis, machine learning, and data mining. Work with teams to design architectures, break down tasks, and review code. Develop new techniques for inferring user interests from online activity. Develop and investigate machine learning algorithms to improve current processes. Analyze large amounts of Michaels historical business data to detect patterns, trends, correlations, and casualties. Design and run A/B experiments that affect millions of customers and evaluate the impact of optimizations and communicate results to various business stakeholders. Enhance applications by identifying opportunities for improvement and making recommendations. Manage individual project priorities, deadlines, and deliverables. Work with teams to implement solutions based on data findings. Investigate and use new technologies where relevant. Position based in Irving, TX. Telecommuting permitted up to 2 days per week.
Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Computer Information Systems, Statistics, Mathematics, or a related field and 2 years of industry experience in machine learning, data analysis, and business analysis. Education, training, or experience must include: Distributed data technologies such as Hive or Spark; Fluency in Python, R, and SQL; Drawing insights and presenting conclusions from data to inform model development and business decisions; Conducting analysis and communicating conclusions to both technical and non-technical audiences; and Machine Learning concepts and statistical methods. Experience may be gained concurrently. Position based in Irving, TX. Telecommuting permitted up to 2 days per week.
Apply with resume to mikrecruiting@michaels.com. Reference Job ID: 7338288.
Vacancy caducado!