This is a remote position.

We are seeking a Junior Data Scientist to join our team.

As part of a data team design build and improve data science and machine learning models.

Collaborate with R& D resources to define and scope data science solutions Manipulate and clean data (exploratory data analysis) build new features (feature engineering) perform feature selection and model selection and implement productionready models.

Participate in model and code reviews and contribute to a team consistently shipping new or updated analytics solutions.

Define and implement metrics that will track model performance over time to identify risks and opportunities.

Communicate results and insights from data science initiatives to stakeholders and other internal/external users and customers.

Requirements Modeling methodology and setting standards for exploration and experimentation.

You creatively apply existing methodology to new analytical challenges.

Skilled in statistics/machine learning.

Python toolkits you may have used recently include stats models scikitlearn or tensorflow.

You have demonstrated programming expertise with Python and SQL for ML techniques including feature engineering/selection model selection model tuning and performance measurement.

2 years of experience working in an applied data or analytics position depending on academic background.

Demonstrated accomplishments in data science or analytics including: Data wrangling: transformation and cleaning Feature engineering Statistical or ML model implementation.

Experience with data engineering and/or collaborating with data engineers.

BS or MS degree in Statistics Data Science Economics Computer Science or a related technical field.

Benefits Work Location: Remote 5 days working A scientist at heart.

You are thoughtful and rigorous about modeling methodology and setting standards for exploration and experimentation.

You creatively apply existing methodology to new analytical challenges.

Skilled in statistics/machine learning.

You have applied experience with statistics/machine learning.

Python toolkits you may have used recently include stats models, scikit-learn, or tensorflow.

You have demonstrated programming expertise with Python and SQL for ML techniques, including feature engineering/selection, model selection, model tuning, and performance measurement.

2+ years of experience working in an applied data or analytics position, depending on academic background.

Demonstrated accomplishments in data science or analytics, including: Data wrangling: transformation and cleaning, Feature engineering, Statistical or ML model implementation.

Experience with data engineering and/or collaborating with data engineers.

BS or MS degree in Statistics, Data Science, Economics, Computer Science, or a related technical field.