Data Engineer

Title: Data Scientist/Data Engineer

Location: California/Hybrid

Duration: 05+ Months Contract

Description:

Develop and implement innovative AI and machine learning tools that will be used to improve and automate business processes. Develop and implement innovative data quality improvement tools. Strong background in algorithms, mathematics and/or statistics. Programming experience in Python, R, Q, MATLAB, Perl, C++, Java or other programming languages

Skills:

Advanced skills required across: - Python - SQL - GenAI - Machine Learning (strong background in algorithms) - Databricks - Verbal and written communication - Rapid prototyping Interview Process: 1st-25-30 minutes2nd- 60-90 minutes craft demo

Hiring Manager really looking for 2 Data Scientists or Data Engineers; one of each is good). Culture is important to HM. You need somebody who can give them access and vision so they can start prototyping. You need people who are very strong in their craft.

Lead Data Scientist Team in Customer Success Team

The team is focused on using Gen AI to process unstructured text from customers, such as text messages, phone calls, search queries, community posts, etc.

Looking for 2 People to help us to this work across the enterprise. 1 Help us execute, and 2. How best to deploy the solution

Data Scientist- Data Analytics,

Python, Databricks, Data Lake, SQL- Expert in each of these areas

NLP- experienced (Natural Language Processing)

Extracting keywords from unstructured text

It can be a Data Engineer or Data Scientist—someone who understands a large amount of text and can refine it to be useful to the business. Natural Language Processing

Interview- 30Min- Screen with Hiring Manager

60-90 Min. Glider Test Python and SQL Craft Demo.