Oversee, perform and manage Big Data projects and operations. Research and recommend options for department direction on Big Data systems, automated solutions, server-related topics. Provide technical leadership on complex projects and research new technology for use by department. MAJOR DUTIES AND RESPONSIBILITIES • Implement end to end Hadoop solutions with a deep understanding of the Hadoop Ecosystem • Integrate technical functionality (e.g. Ability to translate high-level business requirements into detailed design • Aptitude to identify, create, and use best practices and reusable elements • Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exits • Strong desire to learn a variety of technologies and processes with a "can do" attitude • Experience guiding and mentoring 2-5 developers on various tasks • Own a complete functional area – from analysis to design to development and complete support REQUIRED QUALIFICATIONS Skills / Abilities and Knowledge Ability to read, write, speak and understand English.
As the world’s largest research organization, Nielsen is powered by talented creative scientists. Our Data Scientists come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering and demography. These professionals drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights. This position is responsible for independently analyzing, developing, testing, and supporting moderate to highly complex application software as they relate to Statistical Methods and Models. These software algorithms, prototypes and tools must be developed as part of a statistical team and maintained with high-quality standards and minimal defects. Analyzes, designs, and documents software tools as they relate to big data sets : Investigates and analyzes verbal and written requests for software, interpreting application requirements to construct moderate to highly complex tools. Designs moderate to highly complex software code and test plans, ensuring software developed meets requirements. Writes technical documentation for routines and tools, facilitating their maintenance. Work directly with cross functional teams to define and implement analytical models as part of the overall product: Parse and manipulate raw, complex data streams to prepare for loading into analytical tools. Work with senior statisticians to define and implement analytical models as part of the overall methodologies being implemented. Design and implement models that scale and perform well in large scale, data heavy applications. Develop and tests algorithms, prototypes and technical specifications that will be used for new products and enhancements to existing products. Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root cause. The ability to work in a fast-paced multidisciplinary environment as in a every changing landscape where new data keeps flowing in rapidly. Provides support to internal users and support staff: Investigates tool incidents for missing or incorrect functionality. Assesses incident resolution and estimates application changes. Applies resolutions, leading to timely, error free revisions in applications. Participates on project teams: Participates in ensuring the project team is following and continuously improving the information technology (IT) software development lifecycle (SDLC) as they relate to prototypes and tools. Conducts and participates in technical reviews of moderate to highly complex software tools, evaluating the proposed technical solutions and recommending appropriate revisions for efficiency and maintainability. Investigates and develops application impact and cost estimates for new tools and models enhancements, providing input into the project work plan. Contributes to measuring application size and effectiveness by participating in function point counting, milestone tracking, and defect tracking initiatives, ensuring assignment completion by the required dates. Assist with the transition of methodologies to Operations or Application Development. Researches, assesses, and facilitates the adoption of new technologies: Contributes to proposals and recommendations of technical innovations, which could benefit our organization. Contributes to the evaluation of new methods and technologies. Qualifications Requirements Bachelor’s degree in computer science or statistics, or equivalent work experience. Minimum of two years’ experience in software development as it relates to data mining or model development. Experience in some of these technologies: C++, Java or any similar object oriented language. Experience with data-intensive applications: SAS, R or Python. Minimum of two years’ experience in software development as it relates to SQL, Java, R or Python. Desire to analyze large data sets, find the truth in data, and develop efficient processes for data analysis. Expert ability to apply analytical and problem-solving skills to solve complex design and coding problems. Advanced knowledge of one or more software development languages and proficiency in the use of utilities, batch processing, and online processing. Advanced knowledge of one or more file access methods and database management systems. Working knowledge of the appropriate operating systems and communication interfaces. Advanced understanding of and the ability to apply software design and testing principles. Good interpersonal skills. ABOUT NIELSEN Nielsen is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen's Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry's only global view of retail performance measurement. By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company (NYSE: NLSN), has operations in over 100 countries that cover more than 90% of the world's population. Nielsen prides itself on being a place where employees can be themselves, make a difference, and grow their careers with the company. It has been named one of the “Top 50 Companies for Diversity” by DiversityInc for three years running and was selected as one of the “Top 35 Companies for Leaders who want Flexibility” by FlexJobs. For more information visit www.nielsen.com . Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job : Data Science Primary Location : North America-US-IL-Schaumburg Other Locations : North America-US-FL-Tampa Bay Organization : Data Science Schedule : Full-time Shift : Day Travel : Yes, 20 % of the Time
Allergan plc (NYSE: AGN) is a bold, global pharmaceutical company and a leader in a new industry model – Growth Pharma. Allergan is focused on developing, manufacturing and commercializing branded pharmaceuticals and biologic products for patients around the world. Allergan markets a portfolio of best-in-class products that provide novel treatments for the central nervous system, eye care, medical aesthetics and dermatology, gastroenterology, women's health, urology, anti-infective and cardiovascular therapeutic categories. With commercial operations in approximately 100 countries, Allergan is committed to working with physicians, healthcare providers and patients to deliver innovative and meaningful treatments that help people around the world live longer, healthier lives. Our success is powered by our world-class team's commitment to being Bold for Life.
Do you know Kindle is the best-selling product in Amazon.com? Are you interested to work on Machine Learning projects, dealing with large amount of data and the latest Amazon AWS technologies? The Device Commerce Team is looking for experienced, results-oriented Software Development Engineers who are capable of translating business goals into robust software solutions. We own the device and accessory buying experience on Amazon's website (http://kindle.com). We are looking for exceptional machine learning engineers to help us build the world class, scalable, best Kindle Accessories recommendations platform.