Overview
On Site
Full Time
Skills
Applied Mathematics
Operations Research
Information Systems
Physics
Chemistry
Biology
Astronomy
Science
Linear Algebra
Probability
Computer Science
Data Structure
Algebra
Mathematics
Training
Machine Learning (ML)
Data Science
Analytical Skill
Algorithms
Statistics
Testing
EDA
Data Management
Data Cleansing
Data Mining
Data Modeling
Artificial Intelligence
Software Engineering
Data Analysis
Analytics
Workflow
Data Flow
Python
Job Details
Base-2 Solutions is looking for a Data Scientist Level 2.
Education Required
Training/Certifications Required
Description of Relevant Experience
Education Required
- Bachelor's degree plus 3 years of relevant experience.
- Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
- A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
Training/Certifications Required
- A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Description of Relevant Experience
- Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
- Experience in more than one area is strongly preferred.
- Developing data analytics and automating analytics workflows for X14Data Parsing
- Tool knowledge needed
- Data flow knowledge needed
- Python needed
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.