Leuwint Technologies
1 month ago
Job Description :
We are seeking a Data Scientist with expertise in deep learning, causal AI, knowledge graphs, and time-series analysis to develop models on our Sherlock AI marketing platform. This position is key to using large, interconnected data sets and advanced data science techniques to enhance marketing campaigns and uncover detailed consumer insights, ultimately shaping strategic marketing decisions for our enterprise clients. In this role, you will be responsible for building and testing models, as well as collaborating with customers to implement them in real-world applications.
- Bachelor's or Master's degree in AI/Data Science, Statistics, or Computer Science.
- Minimum 4+ years of experience in a data science role with a strong focus on marketing analytics.
- Demonstrated expertise in deep learning, causal AI techniques, knowledge graphs, and advanced time-series analysis.
- Proficiency in statistical modeling, machine learning, graph algorithms, deep learning and optimization methodologies.
- Strong skills in programming languages such as Python and familiarity with data science frameworks.
- Good understanding of data pipelines and big data technologies such as Spark, Cassandra, and Kafka
- Experience with handling big data and using cloud computing platforms.
- Develop and maintain monitoring and alerting systems to proactively identify and address issues with model performance
- Excellent analytical, problem-solving, and communication skills.
- Work closely with data scientists, software engineers, business analysts, and product managers to understand requirements and design solutions that meet their needs
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