Associate Data Scientist

DataJobs; Pensacola (FL); On-site; USD 70,000 - 118,000; Full time

Job summary

DataJobs is seeking an entry-level data scientist to apply machine learning, analytics, and routine predictive modeling to improve decision-making across the organization. The role involves designing, evaluating, and automating models and processes, with focus on communicating findings clearly.

The candidate should have a Bachelor's degree in a quantitative field and 1–2 years of exploratory data analysis experience, with proficiency in SQL and at least one of R, Python, Hadoop, SAS, SPSS, or

Qualifications

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field
• 1–2 years of experience in exploratory data analysis
• Experience with SQL and one or more of: R, Python, Hadoop, SAS, SPSS, Scala
• Ability to execute the model lifecycle
• Technical writing and data storytelling skills
• Research and interpersonal skills
• Communication and critical thinking
• Collaborate and build relationships
• Initiative with sound judgment
• Technical skills aligned to Big Data analysis, coding, project management and technical writing
• Problem-solving approach to address issues as they are identified

Responsibilities

• Design, develop, and evaluate routine predictive models and algorithms
• Analyze and interpret data results with limited complexity
• Develop and code routine software programs, algorithms, and automated processes
• Use modeling and trend analysis to identify and assess patterns
• Support and participate in team projects and organizational initiatives
• Document and present findings using effective written and verbal communication

Skills

Statistics

Programming

Data modeling

Simulation

Mathematics

SQL

R

Python

Hadoop

SAS

SPSS

Scala

AWS

Model lifecycle

Education

Bachelor’s Degree in Data Science / Statistics / Mathematics / CS / Engineering

Master’s Degree in Data Science / Statistics / Mathematics / CS / Engineering

Tools

SQL

R

Python

Hadoop

SAS

SPSS

Scala

AWS

Job description

Entry-level opportunity to apply machine learning, analytics, and routine predictive modeling to uncover patterns and improve decision-making across the organization.

Responsibilities

• Design, develop, and evaluate routine predictive models and algorithms
• Analyze and interpret data results with limited complexity
• Develop and code routine software programs, algorithms, and automated processes
• Use modeling and trend analysis to identify and assess patterns
• Support and participate in team projects and organizational initiatives
• Document and present findings using effective written and verbal communication

Requirements

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field
• 1 to 2 years of experience in exploratory data analysis
• Statistics
• Programming, data modeling, simulation, and mathematics
• SQL and one or more of: R, Python, Hadoop, SAS, SPSS, Scala
• AWS experience
• Ability to execute the model lifecycle
• Technical writing skills
• Data storytelling and technical presentation skills
• Research skills
• Interpersonal skills
• Model development capability
• Communication and critical thinking
• Collaborate and build relationships
• Initiative with sound judgment
• Technical skills aligned to areas such as Big Data analysis, coding, project management, and technical writing
• Problem-solving approach that responds to issues as they are identified

Desired Qualifications

• Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Technology Stack

• SQL
• R
• Python
• Hadoop
• SAS
• SPSS
• Scala
• AWS

Work Schedule

• Monday to Friday, 8:00AM to 4:30PM

Location

• Onsite: Pensacola, FL
• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526
• 141 Security Drive, Winchester, VA 22602

Salary: USD 70,000 to 118,050 per year