Data Scientist - Remote

McLean Intelligent Workforce, Reston, VA (United States)

Category: Programming

Posted on: 21 Nov 2020

Linux

Job Description

On behalf of our client, we are looking for a Data Scientist who can interpret and analyze data from multiple sources to come up with imaginative solutions to our client's problems and is always willing to go the extra mile to deliver the highest quality for our client.

 

Job Responsibilities:

    Working with clients to uncover and frame new opportunities for data science

    Exploring client datasets, looking for actionable insights we can present

    Engineering features, training models, tuning hyperparameters, and evaluating the results using Rigor

    Taking the models we build into production

    Internal data science practices, from hiring and recruiting to data capturing

 

Job Requirements:

    Bachelor's degree in Analytical or Technical field

    5+ years of work in a data-centric field (data science or data engineering)

    Must have specialization in any one (NLP, optimization, or image processing)

    Must have experience in relational databases

    Strong exploratory data analysis skills

    Strong programming skills

    Advanced knowledge of statistical modeling and/or machine learning methods

    A clear and empathetic communicator who can share, document, and explain models to client data teams

    Hands-on experience working in a distributed computing environment or proven theoretical understanding of parallelism

    Exposure and experience working in a Linux environment.

Company DescriptionMcLean Intelligent Workforce is an independent firm specialized in recruiting top quality professionals for our clients.


Want more jobs like this?

Apply Now

By clicking "Apply Now" or "Subscribe and Apply" you will be redirected to an external website. By clicking "Subscribe & Apply" you give TechieJobs consent to process and store your data, and send you job alerts to provided email.

Job Source: Ziprecruiter (Will expire by: 2021-01-05 00:00:00)

Apply Now