Data Scientist
UAE, United Arab Emirates
Job Description
T
hey must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The ideal candidate will have at least 4+ years of hands on experience in building Data Science models in projects involving large and complex data in retail ecosystem. R esponsibilities:
- ork with internal stakeholders throughout the organization to identify opportunities for solving various business use cases leveraging company data.
- uilding and deploying Markdown Optimization model to help the Merchandizing team to optimize product sales.
- uilding and deploying sophisticated Demand forecasting models to increase accuracy of supply decisions.
- eveloping Price Sensitivity analysis for optimizing footfall, conversion and turnover during promotions.
- uilding and deploying Churn Prediction and Customer Lifetime Value Model to help the brands in better retention of Loyal and potential customers.
- uilding RFM model and various customer profiling based on attributes such as transactional behavior, affluency and cross-brand engagement within the company ecosystem etc.
- eveloping detailed store performance analysis to optimize staff allocation and product allocation.
- uilding Market Basket algorithms to drive successful cross-category campaigns, product bundling, stock handling and item arrangement patterns.
- uilding API based solutions for supporting or recommending store opening decisions.
- reating customer cohorts based on tracked footprint of a customer across various internal brands.
- ssess effectiveness and accuracy of new data sources and data gathering techniques and also raise request for relevant data attributes to successfully build and deliver an analytical project.
- se analytical approach to drive customer loyalty, new acquisitions, better retention and cross-brand engagement.
- upport the organization in driving promotional/non-promotional marketing campaigns through analytics driven approach and measuring campaign effectiveness through scientific method of calculating incremental ROI.
- oordinate with different functional teams to implement models and monitor outcomes.
- evelop processes and tools to monitor and analyze model performance and data accuracy.
- ollaborating closely with the Data Engineering and BI team to build a seamless workflow. Q
- trong problem-solving skills with an emphasis on resolving real life business use cases.
- orking experience in Retail sector is a must. Understanding fashion retail is a plus.
- roficient in understanding and implementing machine learning algorithms.
- orking experience in data mining techniques like Logistic Regression, Multivariate Analysis, Decision Tree, Random Forest, K-means, Support Vector method, Neural Network, ARIMA, GARCH Model, Text Mining, NLP etc. with their real-world advantages/drawbacks.
- roficient scripting in programming language like Python, PySpark, Scala, SQL etc.
- xposure to using tools like SAS Enterprise Miner, IBM Watson Studio, Microsoft Azure ML Studio, DataRobot, DataIku are preferred.
- drive and ability to quickly learn and master new tools and technologies is a must.
- xcellent written and verbal communication skills for coordinating across Internal and external stakeholders.
- -5 years of experience with core Data Science Exposer and building statistical models and a degree in Statistics, Mathematics, Computer Science or another quantitative field.
- xperience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
- nowledge working with various APIs. Exposure to using Google APIs like Geocoding, Reverse Geocoding, Places etc.
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Job Detail
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Job IdJD1502507
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationUAE, United Arab Emirates
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EducationNot mentioned