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Data Scientist - Hybrid in Culver City

Job title: Data Scientist - Hybrid in Culver City
Contract type: Freelance
Location: Cupertino
Discipline: Marketing
Remote: No
Salary: Rate: $68-$100/hr DOE
Reference: 440595
Contact name: Emma Erdman
Job Published: January 01, 1970

Job description

Our client, a well-known tech company is looking for a Data Scientist to join their team!

Full time hours
1 year contract assignment, potential to extend
Rate: $68-$100/hr (DOE)

*This role is to support books and podcasts business with social analytics for both proactive research to help inform strategy and creative as well as reactive reporting to help understand impact of initiatives.

Looking for a data scientist to work on our digital marketing team to help us: understand public consumer feedback at scale, excavate insights to optimize our marketing and products, and monitor external brand relevancy. This person must have a deep understanding of statistics, machine learning techniques, digital marketing data and NLP to identify actionable insights and have the ability to successfully evangelize, educate, and enable within a very large organization.

Key Qualifications
• Attains clear understanding of statistics
• Capability to code in SQL and Python or R to work with large data sets
• Knowledge around machine learning techniques (clustering, decision trees, artificial neural networks, regression, classification, Keras, etc)
• Experience building custom data models and algorithms to apply to data sets
• Understands digital marketing data - Social, SEO, Paid, etc
• Experience creating data visualizations with various programming languages (JavaScript and D3 preferred)
• Understanding of NLP techniques for text representation and semantic extraction
• Deep knowledge of text representation techniques (such as bag of words, sentiment analysis, n-grams etc)
• Ability to work and speak to both creative and technical teams
• Ability to solve problems with an analytical mind set
• Looking for someone with 5-7 years of experience manipulating data sets and using statistical models plus NLP to extract insights and visualize them for stakeholders

• Build and maintain data driven optimization models, experiments, forecasting algorithms and machine learning models to better campaign performance, identify trends and optimize products
• Assess business needs to translate model outputs into tangible and actionable findings and reports for both marketing and product
• Produce performance benchmarks across various digital marketing channels
• Create, maintain and automate content taxonomies and use for attribution analyses
• Design NLP applications and utilize topic modeling to understand digital consumer feedback for ourselves in comparison to competitors
• Create and maintain data analytics dashboards
• Communicate and present findings to key stakeholders

• Bachelor’s degree or equivalent preferred.
Expired job
Expired job

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