Senior Scientist: Algorithmic optimization in real-time Retail Systems Hoffman Estates, IL (USA) Apply Online			Send this Job to a Friend
Post Date:	11/06/09	Company:	Sears Holdings Management Corporation
Compensation:	not given	Contact:
Job Type:	Full Time	Phone:
Education:	4 year degree	Fax:
Experience:	5 - 10 years	Mailing Address:
Travel:	Negligible
Reference:	73020BR

Job Description: Sears Holdings Management Corporation provides corporate services to Sears Holdings Corporation (NASDAQ: SHLD) and its family of companies, including Sears Roebuck and Co. and Kmart Corporation. Sears Holdings Corporation is the nation's fourth largest broadline retailer with approximately 3,900 full-line and specialty retail stores in the United States and Canada. Sears Holdings is the leading home appliance retailer as well as a leader in tools, lawn and garden, home electronics and automotive repair and maintenance. Key proprietary brands include Kenmore, Craftsman and DieHard, and a broad apparel offering, including such well-known labels as Lands' End, Jaclyn Smith and Joe Boxer, as well as the Apostrophe and Covington brands. It also has the Country Living collection, which is offered exclusively by Sears and Kmart. It also has Martha Stewart Everyday products, which are offered exclusively in the U.S. by Kmart. We are the nation's largest provider of home services, with more than 12 million service calls made annually. Sears Holdings Corporation operates through its subsidiaries, including Sears, Roebuck and Co. and Kmart Corporation. For more information, visit Sears Holdings' Web site at http://www.searsholdings.com. A Senior scientist will be responsible for analyzing terabytes of data and billions of rows to discover correlations and patterns to come up with algorithms and strategies for customer driven search and navigation. Typical candidates for this role have not only developed data mining algorithms but also built large scale systems incorporating them. This is a hands-on role and if you have dealt with large amounts of sparse data and love to work with a team of smart engineers, you will love this. The ideal candidate will have a PhD degree in Computer Science or related field with experience in natural language processing, computational linguistics, or information retrieval/extraction. The candidate will create a world-class web data-mining system, capable of extracting sentiments, topics, meaning and structure from unstructured web documents and data. Create a system that can efficiently and effectively discover, and understand domain-specific knowledge in hundreds of millions of web pages. The successful candidate will implement the crawling, data mining, and machine-learning algorithms. Strong programming skills are required. At least two years of experience working with real life machine learning environment. A strong research record is a plus. We look for people who are flexible, learn quickly, and love getting into the details, while working in a fast paced environment - Research, investigate, pick industrial data mining / machine learning algorithms - Implement these algorithms using grid computing & affect the product direction KNOWLEDGE, SKILLS AND ABILITIES REQUIRED TO PERFORM ESSENTIAL FUNCTIONS - MS / Ph.D. in computer science (with emphasis in data mining / machine learning / artificial intelligence / mathematics) - 6 years industry experience in data mining and machine learning on large amounts of sparse data. - Must have experience in Hadoop/MapReduce Education/Training - PhD or equivalent experience in Computer Science related to machine learning, data mining, or semantic search - Background in software development a must Experience - Experience with search, navigation, inventory and pricing strategies - Structured thinker, Effective communicator, Excellent programming skills - Good understanding of algorithms, data structures, performance optimization techniques, and object-oriented programming - Experience developing software using Java, C/C on Linux - Experience with hadoop / hive, DB2, MySQL - Predictive modeling - Linear algebra /matrix operations - Relevancy - Large scale data manipulation - Time series analysis - Statistical analysis (regression) - Machine learning algorithms (neural networks, support vector machines, bayes, k-nearest neighbors) A comprehensive and competitive benefit program is designed to meet the needs of our associates and their families. Benefits eligibility depends on employment classification, location, and other variables. Benefits offered include: Medical and Dental Plans Health Care and Dependent Daycare Flexible Spending Accounts Short and Long-Term Disability Company Paid and Optional Life Insurance Business Travel Insurance Merchandise Discount Adoption Assistance Kmart Advantage Rx ConSern Loans for Education Worklife Solutions Voluntary Benefits Commuter Benefits Sears Holdings Corporation Associate Stock Purchase Plan 401(k) Savings Plan Vacation Time with Personal Days National Holidays An Equal Employment Opportunity Employer.

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