Job Description
| Role Summary/Purpose |
| The 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.
- 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 |
- Bachelors in Computer Science, Math, Physics, Applied Economics, Statistics or other technical field.
- Advanced degrees preferred.
- Fluency in SQL or other programming languages.
- 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 |
- Ability to leverage data assets to respond to complex questions that require timely answers
- Experience to perform on-demand, exploratory, and targeted data analyses to obtain insights from data
- Must be able to function productively in an ambiguous environment
|
|
How to Apply
Please apply via the following link:
https://xjobs.brassring.com/TGWebHost/jobdetails.aspx?partnerid=54&siteid=5346&OReq=2035956&Codes=WB2609
Job Categories: IT. Job Types: Full-Time.
2186 total views, 0 today