Data Scientist Lead
3 weeks ago
Job Description:
\We are seeking a skilled professional to lead the development of behavior modeling and customer segmentation solutions. The ideal candidate will break down business problems into AI ML challenges, creating practical solutions that enhance business value.
\This role offers a challenging opportunity to work on industry-disrupting solutions and engage in cutting-edge data science projects.
\Main Responsibilities:
\- Develop data-driven solutions to model customer behavior for key business decisions via customer segmentation, targeting, and prioritization, as well as customer behavioral analytics.\
- Create predictive models and algorithms to understand and predict customer behavior, segmentation, and profiles.\
- Utilize advanced statistical techniques and machine learning methods to build accurate customer targeting and prioritization models.
The Successful Candidate Will:
\Analyze large-scale customer behavioral datasets to identify patterns and trends, utilizing advanced statistical techniques and machine learning methods to build accurate models.
\In-depth data exploration and data mining will be used to develop a deep understanding of customer behavior, segmentation, and engagement models, customer profiles, and build customer targeting engines and personalization frameworks.
\Analyzing historical and current customer behavioral data will enable the creation of predictions and customer prioritizations.
\Requirements:
\- Advanced degree in Statistics, Mathematics, Computing, Engineering, or other quantitative-focused field.\
- Minimum 3 years of experience in data science, machine learning, and deep learning.\
- Experience in customer behavioral and segmentation modeling.\
- Proficiency in AI/ML algorithms, including Classification, Clustering, Tree-based models, Segmentations, Dimensionality Reduction, Neural Networks (LSTM, RNN).\
- Strong experience in Python, PySpark, Machine Learning libraries (sklearn, statsmodel, numpy, pandas, seaborn, matplotlib), and Deep Learning Libraries (Keras, Tensorflow, PyTorch).
Preferred Skills:
\- Understanding of financial domain.\
- Prior experience in marketing mix modeling, customer analytics, affinity analysis, market segmentations.\
- Proficiency in AWS services (Sagemaker, DynamoDB, S3, Lambda, ECR, ECS).\
- Experience in popular MLOps frameworks like KubeFlow, MLFlow.\
- Strong experience in building ML/Automation Pipelines from scratch.\
- Experience in Natural Language Processing & Understanding for sentiment & polarity analysis.
Salary Range: $120,000 - $180,000 per year
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