Data Scientist

Insite AI · Fayetteville-Springdale-Rogers, AR

Company

Insite AI

Location

Fayetteville-Springdale-Rogers, AR

Type

Full Time

Job Description

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

Requirements

  • Process both structured and unstructured data, and analyze data to discover trends and patterns by exploring the data
  • Build predictive models and machine learning algorithms and evaluate different models
  • Build analytical solutions in the form of AI/ML product prototypes solving customer problems
  • Present insights using data visualization techniques
  • Collaborate with engineering and product development teams to produce the developed AI model
  • Bachelor's degree or higher in a relevant analytical field with at least 2 years of relevant domain experience in retail and CPG
  • Skilled with data science programming in Python (pandas, writing classes, productionize the models) and SQL
  • Experience in Statistical Modeling and Machine Learning
  • Prototyping
  • QA and testing
  • Data Interpretation and Visualization
  • Presentation skills
  • Storytelling with data
  • Python, Cloud engineering, SQL, Basic ML algorithms, Experience with Transaction data and time series data. Simple UI's.
  • Ability to understand large scale software & system architecture
  • Able to communicate technical issues with technical & non-technical stakeholders
  • Experience with Python ML tools: Pytorch, Tensorflow, Jupyter Notebooks, Pandas, scikit-learn, Numpy
  • Experience with Spark
  • Experience with UI: Flask, Plotly, Streamlit
  • Understanding of Continuous integration, testing, deployment & release methodologies
  • Experience in Kaggle participation

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Remote - Work From Home
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development

Date Posted

02/14/2023

Views

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