Note: The job is a remote job and is open to candidates in USA. Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.
Responsibilities
- 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
Skills
- Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field
- Advanced Python and SQL skills
- Proven ability with statistical methods and advanced modelling techniques
- Ability to explain ideas simply and confidently to team members both written and verbally
- Self-motivated and creative in finding actionable insights and new solutions
- Constantly seek to improve themselves and expand their professional knowledge and skill set
- Inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions
- Consistently high standards; passion for quality inherent in everything that you do
- Proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment
- Ability to connect the how and why, using knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
- Experience with ecommerce search, recommendation engines, dynamic pricing, or user matching/data cleanrooms
- Familiarity with a variety of supervised/unsupervised/reinforcement learning methods
- Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects
Company Overview