Data Scientist

Ipsos•Culver City, CA

7h•$80,000 - $85,000•Hybrid

About The Position

We’re looking for someone with a deep interest in data and analytics and the dedication to apply that passion. We need someone that possesses the technical ability to write production-level code and implement data science methods for a diverse set of applications, as well as uncover insights from the models and communicate them concisely and clearly to stakeholders at varying levels of technical sophistication. The role also requires an observant attention to detail, the ability to work well on a small team, and a self-starter approach to problem-solving and debugging.

Requirements

High proficiency writing R and/or Python, including the ability to produce and maintain reusable and modular codebases
Bachelor’s degree
Desire to work in a highly collaborative, fun, consensus-oriented environment.
Experience in analytics, extracting and surfacing value from quantitative data
Attentive learner with excellent time-management skills
Ability to lucidly communicate data science concepts verbally and in written form

Nice To Haves

Professional or academic experience with modern techniques and algorithms in machine learning and statistical computing such as neural networks, genetic algorithms, Bayesian modeling, data fusion, drivers analysis, clustering, predictive analytics, network analysis, Monte Carlo, and agent-based models.
Experience developing data science models in cloud platforms (e.g. GCP, AWS)
Working knowledge of SQL and experience with database design and administration.
Experience with Linux server and system administration.
Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
Experience integrating R and/or Python with each other and C\C++.
Large dataset manipulation. Experience in distributed storage and computing.
Experience with ReactJS, TypeScript/JavaScript, visualization libraries (e.g. d3.js).
Experience creating and deploying web apps (e.g. Electron, web2py).
Advanced degree (M.S., Ph.D.), but not required.
Experience in the field of Market Research.

Responsibilities

Work closely with team members on design and execution of large-scale modeling efforts, contributing to analytics libraries and integrating statistical theory
Collaborate on engineering new data science products by translating needs identified with stakeholders into analytic frameworks that can be built into polished user-facing tools
Build, maintain, and enhance existing codebases
Synthesize academic research, tech innovations, and cloud scalability, to elevate business value for clients, both current and prospective
Validate analytics innovations from marketing science and data science teams globally
Provide consulting for internal teams and clients on data engineering and hygiene, areas for improving process efficiency, and data science algorithms and results