Job Description
| Role Summary/Purpose |
| The Senior Data Scientist will work with the team to create state-of-the-art data and analytics driven solutions, developing and deploying cutting edge scalable algorithms, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies
|
|
| Essential Responsibilities |
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and drive enterprise level outcomes.
- Architect, Lead and Develop high performance, distributed computing algorithms using Big Data technologies such as Hadoop, text mining, and other distributed environment technologies.
- Execute and evaluate appropriate analyses (cluster analysis, logistic/linear regression, collaborative filtering, etc.) given an array of tactical and strategic objectives.
|
|
| Qualifications/Requirements |
- Vast experience in solving analytical problems using quantitative approaches (or equivalent)
- Bachelors in Computer Science, Math, Physics, Applied Economics, Statistics or other technical field.
- Advanced degrees preferred.
- Deep technical expertise, domain knowledge, experience in statistical/ modeling techniques, focused on the big data space
- Competent programming aptitude with excellent computation and data text mining skills, with expertise in using R, SQL, Python, SAS
- Machine learning including Bayesian methods, reinforcement learning, Neural networks, Support vector machines, Hidden Markov Models, relevance vector machines, Probabilistic/ Evidential Reasoning
- Experience with large data sets and distributed computing (Hive/Hadoop)
- SSCHU
|
|
| Desired Characteristics |
- Expertise in applying data science techniques and tools is required.
- Proven ability to work within a climate of ambiguity.
- Outstanding communication and presentation skills a must.
- Creative problem solving, flexibility and willingness to challenge the status quo.
|
|
How to Apply
Please apply via the following link:
https://xjobs.brassring.com/TGWebHost/jobdetails.aspx?partnerid=54&siteid=5346&OReq=2035961&Codes=WB2609
Job Categories: IT. Job Types: Full-Time.
1059 total views, 0 today