Data Scientist - Retail Background (Only W2 & Local to Bay Area, CA)

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Advanced Analytics
Apache Hadoop
Apache Spark
Big Data
Data Science
Machine Learning (ML)
Microsoft Power BI
PyTorch
NumPy
Python
Retail
Scala
Statistical Models
Supply Chain Management
TensorFlow
Visualization
scikit-learn
EDA
Data Scientist
Data Analysis

Job Details

Here is some additional feedback:

Key feedback so far is that they're looking for folks with a stronger advanced analytics background as well as more of a statistical/mathematical background.

Top Requirements

(Must haves)

    • Bachelor s degree in Data Science, Computer Science, Statistics, or a related field; Master s degree is a plus.
    • 3-5 years of experience in data science or a related role.
      • Strong preference for candidates with retail data experience
    • Proficiency in programming languages such as Python, NumPy, Scikit-learn, TensorFlow, PyTorch, or Scala.
    • Experience with big data technologies (e.g., Hadoop, Spark).
    • Strong understanding of statistical models and machine learning techniques.
    • Proven ability to understand the data ecosystem, can pull out insights & tease out the patterns with that data
    • Having knowledge of different statistical packages and correct model application based off business questions & analysis at hand
    • Strong exploratory data analysis (EDA) capabilities with a knack for storytelling through data.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication skills, with the ability to convey complex information effectively.

Additional Qualifications

    • Supply chain, ecommerce, healthcare or marketing backgrounds are a plus
    • Experience presenting data created in visualization tool is a plus (PowerBI mainly)
    • Ability to work effectively with teams in a collaborative, cross-functional environment.
    • Highly organized with a strong attention to detail and the ability to meet deadlines.
    • Excellent written and verbal communication skills, with the ability to present data insights clearly to various stakeholders.
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