Do you seek out opportunities to stretch your ability to think analytically, manage complexity, and apply machine learning to address business challenges?
We’re looking for a passionate Senior Data Scientist to analyze and leverage the data to improve process performance, digital marketing optimization and customer satisfaction.
Trafilea is a global company that builds communities and transformative brands. We own the brands and take care of the entire customer journey, to deliver wow-worthy experiences that influence and empower millions of people globally.
Our culture is fast-paced and dynamic. We are data-driven enthusiasts, passionate about marketing, exponential technologies and innovation.
We have over 150 employees working around the world, connected by the same purpose and core values. Our support for this new way of working has led to being featured in Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers.
Shapermint, Trafilea’s largest brand, is a shapewear-exclusive, online retailer offering curated styles from top-rated brands. We’ve grown the brand to 1+ million customers in the first 9 months and are aiming to build one of the biggest communities on body positivity, self-love & confidence. Our main purpose is to empower women across the world.
We are looking for dynamic, dedicated and committed individuals with a strong desire to grow, that can drive the brand forward on its truly exciting journey.
Designs, implements, and evaluates machine learning models, statistical models, or forecasting models to solve business’s most complex issues.
Builds econometric and statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.
Researches new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings.
Performs ad-hoc data mining and exploratory statistics tasks on very large data-sets related to the business’s strategies.
Prepare reports and presentations for relevant stakeholders that will give insights for departmental as well as business wide decision making.
Develop new approaches to understand the business’s consumer trends and behaviors as well as approaches to solve complex business issues, for example, the optimization of product performance and gross profit.
Generates actionable insights applying advanced statistical techniques, for example, predictive statistical models, segmentation analysis, customer profiling, analysis, survey design, and data mining.
Responsible for cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs.
Takes initiative to experiment with various technologies and tools with vision of creating innovative data driven insights for the business at the quickest pace possible.
Takes initiative in evaluating and adapting new and improved data science approaches for the business.