Data Scientist

BlueLabs, Inc.•Washington, DC

4d•$85,000 - $85,000

About The Position

Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.

Requirements

2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
A strong understanding of a statistical programming language such as R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating and delivering informative and engaging data visualizations using industry leading tools

Responsibilities

Execute on the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Assist on research development projects and data science project plans for clients and internal initiatives
Strive to support team excellence by documenting processes and evangelizing new approaches
Work as part of a team to deliver accurate products on short deadlines