[Close] 

Data Scientist, Merchandising

What you'll do: Develop elasticity models to inform optimal pricing and promotion strategies. Advise pricing decisions through reporting, tools development, and comprehensive analysis. Engage with various internal business partners to align priorities and measure performance improvements Identify opportunities to accelerate growth and build tools to analyze and test new strategies Conduct rigorous analytics to assess current business performance to uncover growth opportunities Work closely with engineering and operations teams to optimize the performance of our dynamic pricing system Position may require travel What you'll need: 3+ years of work experience in analytical, consulting, technology, startup, pricing or strategy roles Advanced degrees preferred. (MBA, MS/PhD in Statistics, Mathematics, Engineering, Computer Science or related field) Bachelor's degree with a strong academic record in economics, math, statistics, engineering, business or related field is a plus Positive, people-oriented, and enthusiastic attitude Analytical approach to solving problems; aptitude for telling stories with data Excellent ability to collaborate and apply a cross-functional mindset Strong written and verbal communication skills; Ability to learn quickly and transfer knowledge SQL proficiency. Advanced analytical capabilities leveraging software package of choice Interest in working hard, being challenged in a fast-paced environment, and having fun while doing it
Salary Range: NA
Minimum Qualification
Less than 5 years

Don't Be Fooled

The fraudster will send a check to the victim who has accepted a job. The check can be for multiple reasons such as signing bonus, supplies, etc. The victim will be instructed to deposit the check and use the money for any of these reasons and then instructed to send the remaining funds to the fraudster. The check will bounce and the victim is left responsible.