Associate Data Scientist

Brooksource
Indianapolis, IN, United States
about 1 month ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$72,800.0 - $76,960.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Databases Data Mining Data Visualization R (Programming Language) Statistical Hypothesis Testing Python (Programming Language) Simple Data Format SQL Databases Git Information Technology
+1 more
Data Pipelines

Job description

As the Associate Data Scientist, you will work with partners and outside stakeholders to gather and analyze data regarding a variety of issues and topics to develop data driven solutions to difficult business challenges., * Mines and analyzes data from organization’s databases to drive optimization and improvement of program development, evaluation, and business insights

  • Assesses the effectiveness and accuracy of new data sources and data quality
  • Standardize operational procedures, reviewing code, analyzing, and interpreting datasets, and working with Git for version control
  • Data analysis (Assist in analysis for evaluation, EDA)
  • Performs exploratory data analysis to understand the organization’s data
  • Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently
  • Develops analytic and predictive models for business needs
  • Coordinates with different functional teams to implement models and monitor outcomes
  • Create meaningful visualizations that communicate information about business questions
  • Work with data engineers/architects to create data pipelines
  • Work with data scientists to deploy sustainable solutions
  • Develops compelling data visualizations to communicate findings to target audience(s)
  • Proficient in: SQL, R, Python

Requirements

  • Bachelor’s degree in Data Science, Statistics, Math, Computer science, Informatics, or related fields
  • 1 - 1.5 years of educational, internship, or professional experience in statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.)
  • Confidence in working with Python, and/or, R
  • Working knowledge using SQL to manipulate and draw insights from large data sets
  • Experience creating visualizations and storytelling understanding
  • Ability to research and document findings
  • Mission driven personality with a desire to learn

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Vision insurance
  • Dental insurance, * Dental insurance
  • Health insurance
  • Vision insurance

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