Data Scientist

We are looking for a Data Scientist to support our product, algorithm, and fashion-tech teams with insights gained from analyzing company data.

adept at using both, small and large data sets (not “big data”) to identify opportunities for product improvement and using models to test the effectiveness of different courses of action
experienced at using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations
capable of driving business results with their data-based insights
comfortable working with a wide range of functional teams and have a passion for discovering solutions hidden in unique data sets and working with fashion designers to improve our solution outcomes
familiar with the fashion world – a significant advantage; most of our data belong to the fashion and anthropometric measurements worlds(measurements of the human body).

Key Responsibilities:</label

Work with product, and fashion-tech teams to identify opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Develop custom data models and algorithms to apply to data sets.

Use predictive modeling to increase and optimize customer experiences, and other business outcomes.

Develop company Pilot testing framework and test our solution quality.

Coordinate with different functional teams to implement models and monitor outcomes.

Requirements:</label

5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

Coding knowledge and experience with statistical computer languages (R, Python, etc.)

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Familiar with Data Scientists working environment

Experience visualizing/presenting data for stakeholders using excel, ggplot, etc.

Strong problem-solving skills with an emphasis on understanding data and finding customized solutions.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Strong problem-solving skills with an emphasis on understanding data and finding customized solutions.

Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.

Knowledge of a variety of machine learning techniques (clustering, decision tree, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.

Data Scientist

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