Sr Data Engineer / Data Scientist

The Data Engineer/Scientist has a real passion for finding opportunities in data. He uses already established tools and techniques or innovates new ones to get insights from large complex data sets. He will have contributed to large data-centric projects, participated in technical communities, interest groups, or written/spoken in public about their innovations and ideas. Despite having 5 to 10 years of experience, a Data Engineer/Scientist at Client will still be an active technician: tinkering with new Big Data solutions, using unfamiliar technologies without any supervision, and learning new tools and techniques in their spare time.

We are looking for the following core capabilities in our Data Engineer/Scientist:

1. Proficient in statistical data analyses, machine learning, data mining & optimizations using multiple tools and technology on large complex data sets.
2. Easily build complex algorithms and logic to process data.
3. Embrace the agile software development environment.
4. Provide self-serve analytical solutions to users to analyze medium to large datasets and run mathematical models without the need for IT resources.
5. Practitioner of statistical data quality procedures or test-driven approaches for quality assurance; develop software ensuring proper data quality controls at all levels.
6. Work with large volumes of data, well-versed with performance tuning and able to optimize the application at all of its layers.
7. Build BI and reporting solutions including Data warehousing, Data modeling, ETL, etc.
8. Enjoy research and implementation of solutions on mobile technology.
9. Have a public community presence through either publications or blogs.
10. A good learner, but at the same time a good mentor who inspires peers and more junior team members to learn and expand their skill set, guiding them in the right direction.
11. Possess excellent communication skills, able to visualize and report data findings creatively in a variety of formats to various stakeholders.

Requirement: Bachelor's degree in Computer Science with Mathematics and Statistics or equivalent subject, Masters preferred. Minimum of 5-7 years of experience in software development. Strong command of the English language (both verbal and written). Can manage 80% travel.

Technical skills and experience:

1. Proficiency in statistical data analysis and data mining packages SAS, SPSS, MatLab, R, STATA, Excel, etc.
2. Knowledge or experience on Big Data platforms like Hadoop, HBase, CouchDB, Hive, Pig, etc.
3. Worked with Teradata, Oracle, MySQL, Informatica, Tableau, QlikView, or similar reporting and BI packages.
4. Used SQL, PL/SQL, and similar languages, UNIX shell scripting.
5. Experienced with data modeling, design patterns, building highly scalable and secured solutions.
6. Knowledge of agile software development processes.
7. Familiarity with performance metric tools.
8. Knowledge of web application development technologies such as Ruby on Rails, Java, UNIX, HTML, CSS, Perl, or PHP is a plus.

Non-technical competencies:

1. Demonstrate enthusiasm, influence, and innovation.
2. Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
3. Tolerance in dealing with bad quality data.
4. Distinct customer focus and quality mindset.
5. Ability to work at an abstract level and gain consensus.
6. Ability to see from and sell to multiple viewpoints.
7. Excellent interpersonal, leadership, and communication skills.
8. Ability to work both independently and in various team settings.
9. Ability to work under pressure with a solid sense for setting priorities.
10. Ability to manage own learning and contribute to domain knowledge building.

Additional Information

All your information will be kept confidential according to EEO guidelines.