Wednesday, April 13, 2016

Data Analyst, Data Scientist, Data Engineering - Intern Job Specifications

Data Engineer--Summer Intern
 NJ, Jersey City
Job ID : 38650
Company Description
AXA is a leading financial protection company, committed to fostering and maintaining a diverse, multicultural and inclusive environment, and one of the nation’s premier providers of life insurance and annuity products. The organization was established in 1859 and we are committed now more than ever to helping clients meet financial goals in all stages of their lives. One of the hallmarks of our proud heritage is providing world-class customer service.

We're always looking for smart and talented people to help us develop new and innovative ways to expand our product portfolio, reach new customers and serve well the clients already a part of the AXA family.

Job Purpose
Summer Intern - Data and Analytics Office (DAO). The ideal candidate will draw on his/her business and technical training and experience to address complex data needs by providing analytic insights, creating and executing technical solutions in support of our Data Quality initiative.

The role is entry level (1-3 years relevant experience). College level training and similar work or personal experience in one or more of following areas: programming using R and Python; Statistical analytics; Analysis of social data combined with operational data; data visualization tools; data integration using extract, translate, and load (ETL) or extract, load, and translate (ELT); SQL and other query tools. Relevant skills/experience include applied mathematics, stastics, calculus, quantitative or statistical methods and techniques, data mining, informatics, data science, programming, computational algorithms, information retrieval (i.e. organizing, structuring data), working with databases or data structures, machine learning, artificial intelligence, natural language processing, software engineering, and/or systems design analysis.  Key competencies include (in bullet points):  (1)  Develop tools and techniques for analysis  (2)  Analyze data using appropriate tool set  (3)  Evaluate research for practical application  (4)  Document research processes, analysis and results  (5)  Identify and analyze anamalous data  (6)  Analyze data using mathematical/statistical methods  (7)  Analyze problems to determine technical solutions  (8)  Learn quickly and rapidly arrive at working solutions  (9)  Apply mathematical or computational methods and lines of reasoning  (10)  Clean and process semi-structured and unstructured data  (11)  Decide what procedures will be required to solve technical problems  (12)  Effectively communicate complex technical information to non-technical audiences  (13)  Develop conceptual designs or models to address requirements  (14)  Identify new and existing products, technologies and/or architectures to solve design, development and operational problems  (15)  Identify new applications of known techniques  (16)  Review the nature and quality of cost data sources and evaluate their relevance to analyses; recommend action for improvement and use of sources to establish relationships with providers  (17)  Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data  (18)  Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting requirements associated with the collection, processing, storage and analytic capabilities and limitations of the organization.

Other information
NOTE: AXA participates in the E-Verify program.

In addition to competitive compensation and an outstanding benefits package including 401 (k) and medical programs, we offer the opportunity for continued professional development in a congenial corporate environment.

AXA is committed to providing equal employment opportunities to our employees, applicants and candidates based on individual qualifications, without regard to race, color, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran status, genetic information or any other class protected by federal, state and local laws.

Job Details
Intern - Business Analytics Consultant
Reference no.203234CountryUSARegionUS - NEW JERSEYCityUS - NEW JERSEY - NEW BRUNSWICKPosition TypeProfessionalJob AreaIT SupportJob TypeFull TimeCompanyAtos

Company Information
Atos SE (Societas Europaea) is a leader in digital services with 2014 pro forma annual revenue of circa € 11 billion and 93,000 employees in 72 countries. Serving a global client base, the Group provides Consulting & Systems Integration services, Managed Services & BPO, Cloud operations, Big Data & Cyber-security solutions, as well as transactional services through Worldline, the European leader in the payments and transactional services industry. With its deep technology expertise and industry knowledge, the Group works with clients across different business sectors: Defense, Financial Services, Health, Manufacturing, Media, Utilities, Public sector, Retail, Telecommunications, and Transportation.

Atos is focused on business technology that powers progress and helps organizations to create their firm of the future. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and is listed on the Euronext Paris market. Atos operates under the brands Atos, Atos Consulting, Atos Worldgrid, Bull, Canopy, and Worldline.

Our ability to deliver Operational Excellence means that we are always ready and able to help our clients address whatever challenges they face, wherever they are in the world. We also place great emphasis on understanding and meeting the needs and priorities of our clients, including their sustainability objectives.

Atos values the individual and strives to deliver an appropriate work-life balance because a motivated and happy person can add untold value to our clients and colleagues around the world.

For more information, please see the Atos corporate web site:

Job Description
- Responsibilities include Advanced Analytics & Data Modeling with proficiency with data warehousing and business analytics.
- The consultant will be part of a team of business and data analysts that will work to understand, model, and analyze the relevant business information used in Atos NAO dashboards and Balanced Scorecards.

Job Requirements
Skills required:
- The consultant is an enthusiastic learner, with an understanding of business, operations, and technology - ideally with some background on DW/BI.
- The consultant has excellent problem-solving and interpersonal skills.
- The consultant will be required to interact with multiple roles at different levels of the organization.

Data Engineering Intern, Corporate - Summer 2016 in Seattle, Washington

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. At Corporate, you’ll team with the best in the business to build one of the most innovative global businesses in any industry. Uniquely positioned at the center of an exciting, multi-faceted Company, the forward-thinkers at Disney Corporate constantly pursue new ideas and technologies to help the Company’s many businesses drive value, all the while gaining something valuable from the experience themselves. Come see the most interesting Company from the most interesting point of view. The Database Services team provides both DBMS Hosting as well as Professional Services and consultation in the database management space for Disney Connected & Advanced Technology (DCAT) and The Walt Disney Company (TWDC) partners. They are responsible for the planning and integration of database systems and applications into hosting environments in the most efficient, secure, scalable, reliable and cost effective manner possible. The DBA position works on a central team of Database Systems Engineers and Administrators supporting DBMS for Disney Connected and Advanced Technologies development teams and customers.

Primary focus of this position will be the administration of SQL Server systems and the automation of operational and business processes in supporting internet sites and online applications for The Walt Disney Company.

Key responsibilities include DB technology evaluation, guidance and consultation, design support, task automation and scripting, best practice and standards development, capacity planning, optimization and tuning, system upgrades and migrations, performance management, monitoring, security, backup and recovery, issue troubleshooting, and documentation. Additional tasks as assigned.

Primary responsibilities include:

Responsible for group-level systems management and exercises project-level control over initiatives.

Excellent technical expertise in relevant state of the art database technologies, stores, systems, and design.

Carries out assignments with minimal coaching and guidance from others.

Develops, enhances and adheres to engineering and administration standards.

Upholds and maintains strong documentation.

The ideal candidate will have exposure to Non-relational database systems and experience with RBDMS, primarily SQL Server or MySQL.

Current study in Computer Science, Information Systems or other related fields.

In addition to the basic qualification, course work or interest in database technologies is preferred.

B.S. in Computer Science or related field (can be in-progress)

This position is with Disney Worldwide Services, an equal opportunity employer.

Data Mining Research Intern: Data Engineer 

Topic description:

Research and Technology Center (RTC) of Robert Bosch LLC is looking for a summer intern to develop the machine learning platform on big data systems. You must have a strong background in data science, complied languages like Java/Scala. Experience with Hadoop system and Spark is a plus. You must possess good oral and written documentation skills and experience with agile methodology. In this position, you will improve the current deployment standardization of machine learning (standards such as PMML).  Within the RTC, you will have the opportunities to work with other data mining researchers and expose to different technologies.
You will be responsible for the improvement of the deployment implementation in the existing machine learning and data mining algorithm (PMML).  And you will collaborate with other researchers on model deployment.


Pursuing Master or PhD degree in Computer Science, Statistics or a data-oriented engineering discipline
Extensive understanding of programming language like Java/Scala
Extensive understanding of machine learning and statistics models
Experience with Spark
Experience working with Agile methodology
Experience with Linux system.

Palo Alto, CA

No comments:

Post a Comment