
Chief Data Insights Officer
6 days ago
We are seeking a seasoned Senior Data Scientist to lead our data science team and unlock valuable insights from raw data.
The ideal candidate will possess a strong ability to solve complex problems, a knack for statistical analysis, and the capacity to align data products with business goals.
About the Role:
- Manage the data science team, plan projects, and develop analytics models.
- Enhance AI services by maximizing the value of client data.
Key Responsibilities:
- Identify, develop, and implement appropriate statistical techniques, algorithms, and deep learning/ML models to create scalable solutions addressing business challenges.
- Define, develop, maintain, and evolve data models, tools, and capabilities.
- Communicate findings to relevant teams through visualizations.
- Collaborate and communicate findings to diverse stakeholders.
- Provide solutions for tasks including object detection/image recognition, natural language processing, sentiment analysis, topic modeling, concept extraction, recommender systems, text classification, clustering, customer segmentation & targeting, propensity modeling, churn modeling, lifetime value estimation, forecasting, response to incentives, marketing mix optimization, price optimization.
- Build, train, and lead a team of data scientists.
- Foster an agile methodology for delivering project milestones.
- Possess excellent oral, presentation, and written communication skills.
- Apply statistical ideas and methods to data sets to answer business questions.
- Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies.
Requirements:
- Bachelor's/Master's/PhD degree in math, computer science, information systems, machine learning, statistics, applied mathematics, or related technical degree.
- 6+ years of total experience with a minimum of 3 years in a related position as a data scientist or business analyst building computer vision, NLP, and predictive analytics solutions for various business problems.
- Advanced knowledge of statistical techniques, machine learning algorithms, and deep learning frameworks like TensorFlow, Keras, PyTorch.
- Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++.
- Strong individual planning and project management skills, able to juggle multiple tasks and priorities.
- Self-motivated and driven to deliver agreed results on-time.
- Able to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audiences.
- Strong influence and relationship management skills.
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