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

Key Responsibilities:

• 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 production-ready 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:

• 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.

Benefits:

• Work Location: Remote
• 5 days working