Full-Time Information Management Opportunities - 2014 Grace Hopper Women in Computing Conference
Company Name:
American Express
Data Scientist
American Express is a global service company, providing customers with exceptional access to products, insights and experiences that enrich lives and build business success. With over 160 years of providing easier, safer and more rewarding experiences for both consumers and businesses, we are working on our company's next transformation--integrating our traditional businesses ever more thoroughly into the digital universe, while developing new forms of payment and lifestyle services. We've launched innovative partnerships, such as with Facebook, Foursquare , Twitter, and TripAdvisor, and our employees continue to help us expand and evolve our product set and refine our delivery and distribution systems. In these ways, we aim to build upon our heritage of innovation, adding to the possibilities our network creates for our customers.
Our Risk & Information Management Group forms the backbone of all financial services operations at American Express and has an impact on every aspect of the company globally. Within the organization, our Information Management teams are strategically focused on building global information-based platforms; transforming the way we market information to prospective and current customers through apps, social media, mobile platforms, paid search and SEO; providing robust analytics to develop new digital partnerships and enhance our ecommerce capabilities.
If you want to be more than your job, are not afraid of embracing challenges and are passionate about expanding digital capabilities, presence and mind-set within an established, global brand, join our team today!
As a /Data Scientist /in the Information Management organization, you will be part of a dedicated team focused on developing big data applications and solutions in collaboration with business partners and technologists. With your deep knowledge in algorithms, data products, and engineering solutions, you will be driving transformation in areas of commerce, customer service, and risk management, elevating American Express to the forefront of the digital revolution. You will be unleashing the full power of American Express' closed loop data to drive revenue and be an enabler of innovation across a diverse portfolio of products, including consumer services, small businesses, corporations, and merchants.
Responsibilities
Build disruptive solutions and foster a culture of curiosity and experimentation
Mine data, discover insights, and experiment to improve outcomes for customers in multiple digital channels
Design, develop, and evolve leading edge algorithms that smartly pushes business innovations, including recommendations, entity matching, and marketing optimization
Creation and execute high impact digital strategies which will
Leverage American Express' unique closed loop and big data capabilities, including comprehensive strategies focused on American Express products/services or merchant offers which are recommended to Cardmembers based on explicit preferences, locations, times, click-stream data, and social media data
Leverage social media analytics, clickstream analytics, optimized paid search and/or search engine optimization
Mine complex digital behavioral data and transform it into actionable information. Specific projects could include optimizing between hundreds of American Express products, services and communications to show the most appropriate ones when Cardmembers visit
Integrate traditional structured data with unstructured data from web and social media
Identify communities within the American Express ecosystem of Cardmembers and Merchants and partner with Marketing teams to devise new marketing strategies
Evolve a versatile data model unique to American Express' closed loop data to enable proactive innovation of customer treatments and products.
Be a trusted data science advisor to the Information Management community
Collaborate closely across geographies and business units to deeply understand enterprise challenges and opportunities
Qualifications
Ability to create a strong network of relationships among peers and partners
Ability to develop innovative strategies which apply statistical techniques to business problems and to leverage external thinking (from academia and/or other industries)
Creativity to go beyond current tools to identify the best solution to problems, make key decisions on projects
Strong working knowledge of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines); also preferred is familiarity with recommendation systems such as collaborative filtering, k-nearest neighbors, association rules, market basket analysis, SVD (singular value decomposition), and matrix factorization methods.
Experience with data visualization a plus
Experience working with very large datasets using Big Data tools and platforms (e.g. Hadoop, PIG/HIVE/Mahout)
PhD in Computer Science, Statistics, Econometrics, Operations Research, Engineering, Mathematics or related quantitative fields, or M.S. in related advanced quantitative field
Job Risk
Title: Full-Time Information Management Opportunities - 2014 Grace Hopper Women in Computing Conference
Location: AL-Montgomery
Requisition ID: 14014186 Estimated Salary: $20 to $28 per hour based on qualifications.
American Express
Data Scientist
American Express is a global service company, providing customers with exceptional access to products, insights and experiences that enrich lives and build business success. With over 160 years of providing easier, safer and more rewarding experiences for both consumers and businesses, we are working on our company's next transformation--integrating our traditional businesses ever more thoroughly into the digital universe, while developing new forms of payment and lifestyle services. We've launched innovative partnerships, such as with Facebook, Foursquare , Twitter, and TripAdvisor, and our employees continue to help us expand and evolve our product set and refine our delivery and distribution systems. In these ways, we aim to build upon our heritage of innovation, adding to the possibilities our network creates for our customers.
Our Risk & Information Management Group forms the backbone of all financial services operations at American Express and has an impact on every aspect of the company globally. Within the organization, our Information Management teams are strategically focused on building global information-based platforms; transforming the way we market information to prospective and current customers through apps, social media, mobile platforms, paid search and SEO; providing robust analytics to develop new digital partnerships and enhance our ecommerce capabilities.
If you want to be more than your job, are not afraid of embracing challenges and are passionate about expanding digital capabilities, presence and mind-set within an established, global brand, join our team today!
As a /Data Scientist /in the Information Management organization, you will be part of a dedicated team focused on developing big data applications and solutions in collaboration with business partners and technologists. With your deep knowledge in algorithms, data products, and engineering solutions, you will be driving transformation in areas of commerce, customer service, and risk management, elevating American Express to the forefront of the digital revolution. You will be unleashing the full power of American Express' closed loop data to drive revenue and be an enabler of innovation across a diverse portfolio of products, including consumer services, small businesses, corporations, and merchants.
Responsibilities
Build disruptive solutions and foster a culture of curiosity and experimentation
Mine data, discover insights, and experiment to improve outcomes for customers in multiple digital channels
Design, develop, and evolve leading edge algorithms that smartly pushes business innovations, including recommendations, entity matching, and marketing optimization
Creation and execute high impact digital strategies which will
Leverage American Express' unique closed loop and big data capabilities, including comprehensive strategies focused on American Express products/services or merchant offers which are recommended to Cardmembers based on explicit preferences, locations, times, click-stream data, and social media data
Leverage social media analytics, clickstream analytics, optimized paid search and/or search engine optimization
Mine complex digital behavioral data and transform it into actionable information. Specific projects could include optimizing between hundreds of American Express products, services and communications to show the most appropriate ones when Cardmembers visit
Integrate traditional structured data with unstructured data from web and social media
Identify communities within the American Express ecosystem of Cardmembers and Merchants and partner with Marketing teams to devise new marketing strategies
Evolve a versatile data model unique to American Express' closed loop data to enable proactive innovation of customer treatments and products.
Be a trusted data science advisor to the Information Management community
Collaborate closely across geographies and business units to deeply understand enterprise challenges and opportunities
Qualifications
Ability to create a strong network of relationships among peers and partners
Ability to develop innovative strategies which apply statistical techniques to business problems and to leverage external thinking (from academia and/or other industries)
Creativity to go beyond current tools to identify the best solution to problems, make key decisions on projects
Strong working knowledge of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines); also preferred is familiarity with recommendation systems such as collaborative filtering, k-nearest neighbors, association rules, market basket analysis, SVD (singular value decomposition), and matrix factorization methods.
Experience with data visualization a plus
Experience working with very large datasets using Big Data tools and platforms (e.g. Hadoop, PIG/HIVE/Mahout)
PhD in Computer Science, Statistics, Econometrics, Operations Research, Engineering, Mathematics or related quantitative fields, or M.S. in related advanced quantitative field
Job Risk
Title: Full-Time Information Management Opportunities - 2014 Grace Hopper Women in Computing Conference
Location: AL-Montgomery
Requisition ID: 14014186 Estimated Salary: $20 to $28 per hour based on qualifications.
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