Associate Data Scientist

Brooksource
Indianapolis, United States of America
yesterday

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 77K

Job location

Indianapolis, United States of America

Tech stack

Data analysis
Big Data
Databases
Data Mining
Data Visualization
R
Statistical Hypothesis Testing
Python
Simple Data Format
SQL Databases
GIT
Information Technology
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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