Data Scientist 3

What you'll work on

• Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.
• Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.
• Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).
• Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions.
• Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.
• Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.
• Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.
• Actively research new tools and technologies, staying on top of analytics news and best practices.

What we're looking for

The ideal candidate will possess the following qualities:

• You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.
• You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying “What if we tried this?” or “Maybe this is a better way to do it?” They have a knack for overcoming obstacles.
• You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set.
• You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutions.
• You have consistently high standards; your passion for quality is inherent in everything that you do.
• Familiarity with a variety of supervised/unsupervised/reinforcement learning methods.
• Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects.
• You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment.
• You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.