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Inclusively Logo

data scientist

7a42596

Remote

Today

178200 - USD ANNUAL

Inclusively

Richmond, VA

Unknown / Non-Applicable

Company - Private


Job Description

Inclusively is partnering with a life insurance company to hire a Senior Associate, Data Scientist.

ABOUT INCLUSIVELY:

Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD). Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.

Offered Wage: $178,200.10/year

Required Skills:

Experience must include 2 years of experience in each of the following skills:

(1) Programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources;

(2) Performing data wrangling and matching leveraging Extract Load Transfer (ETL) techniques;

(3) Performing parallel computing, distributed computing, and distributed data processing leveraging large-scale data on Hadoop and Spark system;

(4) Performing feature engineering and selection (transformation, binning, and high-level categorical reduction); model optimization (grid search and Bayesian optimization); and, model testing and validation (cross validation and bootstrapping); and,

(5) Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means; and performing regularization leveraging Ridge, Lasso, and elastic nets.

Education & Experience Requirements:

Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain.

Or, in the alternative:

Bachelor's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and five (5) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain.

Job Type: Full-time

Pay: $178,200.10 per year

Benefits:

Schedule:

Work Location: Remote


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