Data Science Lead
5 days ago
Job Title: Senior Data Scientist
Job Summary:
We are seeking a highly skilled Senior Data Scientist to join our team at Arting Digital. As a Senior Data Scientist, you will be responsible for leading and delivering machine learning projects, working with large datasets, and developing predictive models to drive business growth.
Key Responsibilities:
• Predictive ordering - Prevent SKUs from going out of stock with machine learning-based predictions.
• Price Simulator - Optimize product range prices to maximize client profits.
• Promotion Analytics - Analyze the performance of each promotion and develop a promotions simulator to predict results.
• Hyper-personalization solution - Personalize customer experiences with tailored call scripts and customized schemes.
• Asset Performance Assessment - Determine the selection of outlets that will result in maximum ROI given a client's budget.
• Customer Segmentation - Segment retailers/POS to design proper incentives for manufacturers.
• Sales/Demand Forecasting - Help clients plan production/inventory by forecasting future demand.
Requirements:
• Experience designing, developing, and delivering machine learning projects, including implementation in production.
• Strong grasp of ML and Time Series fundamentals and their applications in business.
• Proficiency in Python, including pandas and scikit-learn.
• Experience leading or guiding a team of data scientists/ML engineers.
• Familiarity with relational databases and intermediate-level knowledge of SQL.
• A team player who can deliver under pressure.
• An eye for detail, quick learner, and ability to think out of the box.
• Familiarity with cloud platforms and experience working with large datasets and tools like MapReduce, Hadoop, Hive, etc., and large data streaming technologies like Spark, etc.
Qualifications:
• Designed, developed, and delivered multiple machine learning projects, including implementation in production.
• Worked on a variety of data science projects.
• Experience converting a business problem into a data science problem.
• Strong grasp of ML and Time Series fundamentals and their applications in business.
• Proficiency in Python, including pandas and scikit-learn.
• Experience in leading or guiding a team of data scientists/ML engineers.
• Familiarity with relational databases and intermediate-level knowledge of SQL.
• A team player who can deliver under pressure.
• An eye for detail, quick learner, and ability to think out of the box.
• Familiarity with cloud platforms and experience working with large datasets and tools like MapReduce, Hadoop, Hive, etc., and large data streaming technologies like Spark, etc.
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