Data Analyst / Data Scientist

Responsibilities

Ensure that data flows smoothly from source to destination so that it can be processed

Utilize strong database skills to work with large, complex data sets to extract insights

Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes

Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure

Build tools for automating repetitive asks so that bandwidth can be freed for analytics

Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions

Work closely with top management to prioritize information and analytic needs

Preferred

preferably with work experience of over 2-3 years

Familiarity with R and statistical packages

Work experience with real data for customer insights, business and market analysis will be advantageous

Benefits

Remote work is OK.

Psudo manufactures sneakers that are locally sourced and built with recycled materials.

Hermosa Beach, California, USA

https://psudo.com/

Total Funding

$3M

Key Investors

SternAegis

2021-12-16

Seed· $3M

Recent News

fundz.net

Dtc Startup, Psudo, On A Mission To Create The World’s Most Eco-Friendly Sneaker Raises $3M Seed Round

2025-02-26

Google Patent

Shoe having simulated features

2024-04-14

lanxiongsports.com

7 plastic bottles to make a pair of shoes, catching up with the trend of sustainable sports shoes Psudo to get financing | Entrepreneurship Bear

2023-06-27

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Qualifications

Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science)

Ability to program in any high level language

Proven problem solving and debugging skills

Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing

Experience with text analytics, data mining and social media analytics

Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc

Preferably with work experience of over 2-3 years

Familiarity with R and statistical packages

Work experience with real data for customer insights, business and market analysis will be advantageous

Required skills

R, SQL, SAS, Data Warehousing, Text Analytics, Data Mining, Social Media Analytics, Logistic Regression, Cluster Analysis, Neural Networks, Random Forests, Ensemble Methods

Preferred skills

preferably with work experience of over 2-3 years, Familiarity with R and statistical packages

Experience

2-3 years