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omega solutions inc

Sr. Data Scientist

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$138,705 / year median in California

+8% projected growth

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Job Description

Sr. Data Scientist omega solutions inc - 3.6 Santa Ana, CA Job Details Contract 14 hours ago Qualifications Data visualization software proficiency Software coding Spark NumPy UNIX Apache Hive Windows K-Nearest neighbors (KNN) K-means clustering SQL Spark implementation Logistic regression Decision trees Neural networks Linear regression Clustering Machine learning frameworks Data visualization projects Data analysis software Full Job Description Sr. Data Scientist Santa Ana, CA 6 months
Job Description :
What is the specific title of the position? Senior Data Scientist What Project/Projects will the candidate be working on while on assignment? 1) Field Team Modernization/Intelligent Decision Management - build and support of new predictive data models 2) Coding Transformation - build and support of new/existing predictive data models 3) Ad hoc data analysis Is this person a sole contributor or part of a team? If so, please describe the team? (Name of team, size of team, etc.) Individual contributor within Decision Intelligence team. What are the top 5-10 responsibilities for this position? (Please be detailed as to what the candidate is expected to do or complete on a daily basis) Analytic data model development Quality check of output from other developers Data exploration/research Documentation of logic and results Presentation of logic and results to team and stakeholders What software tools/skills are needed to perform these daily responsibilities? See below What skills/attributes are a must have?
Programming:
SQL, Python, Spark, Hive Libraries:
Scikit-Learn, Numpy Analytics:
Regression, Classification, Clustering, (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans)
Visualization:
Matplot Systems:
UNIX, Windows Soft:
Integrity, strong verbal and written communication, teamwork, creativity
Experience:
3-4 years related field What skills/attributes are nice to have?
Analytics:
Neural Networks, Graph Computation, Approximate Nearest Neighbors, Time Series, NLP Visualization:
Tableau, Plotly, Excel Infrastructure:
Big Data, Cloud Computing, High Performance Computing (GPUs)
Experience:
5+ years related field