Data Scientist
Job Description
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
Explore More
Date Posted
02/14/2023
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