Job Description :
Hello,
Hope you are doing Great!
This is Swaroop from Keylent Inc.
We have an Urgent opening for “Data Scientist” position in Omaha-NE
Skill set : Data Scientist
Job Location : Omaha-NE
Position Type : Contract/Full Time
Job Description:
Experience Level:
Preferably 8-15 years in Analytics Technologies, Business Intelligence & Big Data.
Proven Experience in Data Processing, Data Querying, Analytical Dataset Creation, Analytical Algorithms, Analytical Model Creation, Interpretation and presentation of results to relevant stakeholders.
Skill Requirements:
Proven experience with Analytical & Data Mining software like SAS, Microsoft R, SPSS, Open R, WEKA, etc.
Proven experience in SQL & NOSQL languages for data analysis
Strong knowledge of machine learning and statistical methods
Experience in analyzing high volume and high dimensionality data for pattern discovery and hypothesis testing
Excellent understanding of machine learning techniques and algorithms, such as regression, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge in Text Analytics, NLP, Unstructured data / Sensor Data Analytics, Social Media Analytics , Deep Learning / Neural Network, Big Data Analytics would be added advantage
Good applied statistics skills, such as distributions, statistical testing, regression etc.
Proven experience with visualization tools like Tableau, Qlikview, Excel or any other equivalent
Working experience with NoSQL Data stores like Hadoop, Cassandra, HBase
Working Knowledge of Java Map reduce, Hive, Pig preferred
Good knowhow about Data & Analytics technologies including Cloud based platforms
Knowledge in Transportation and Logistics domain would be an added advantage
Job Responsibilities:
Translating business challenges/ problems to Analytical problems
Ideation of data driven solution to business problems and presentation to business/ end users
Should be able to do exploratory data analysis and presentation of preliminary insights to business/ end users
Supervise and perform technical platform changes aligned with IT management guidelines
Ensure stability of the overall analytics ecosystem in terms of deployment and enhancement
Good Communication & presentation skills