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Senior Analytics Leader
3 weeks ago
We are seeking a seasoned analytics leader to spearhead our data science team and unlock valuable insights from raw data.
This role involves overseeing the data science team, strategizing projects, and developing predictive models. Strong problem-solving abilities and statistical analysis skills are crucial.
Your primary objective will be to elevate our AI capabilities by optimizing client data utilization.
Key Responsibilities:
- Develop and implement advanced statistical techniques, algorithms, and machine learning models to address business challenges.
- Design, develop, maintain, and evolve data models, tools, and capabilities.
- Communicate findings through actionable visualizations.
- Collaborate with diverse stakeholders.
- Provide solutions for tasks such as object detection, natural language processing, sentiment analysis, topic modeling, concept extraction, recommender systems, text classification, clustering, customer segmentation, propensity modeling, churn modeling, lifetime value estimation, forecasting, marketing mix optimization, and price optimization.
- Build, train, and lead a team of data scientists.
- FOLLOW AGILE METHODOLOGY FOR DELIVERING PROJECT MILESTONES.
- Possess excellent oral, presentation, and written communication skills.
- Apply statistical ideas and methods to drive informed business decisions.
Preferred Qualifications:
- Bachelor's/ Master's/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, or Applied Mathematics.
- 6+ years of experience with at least 3 years in a related position as a data scientist or business analyst building computer vision, NLP, and predictive analytics solutions.
- Advanced knowledge of statistical techniques, machine learning algorithms, and deep learning frameworks like TensorFlow, Keras, PyTorch.
- Programming expertise in languages like Python, R, C, or C++.
- Strong individual planning and project management skills.
- Self-motivated and driven to deliver results on-time.
- Ability to present analytical output to technical and non-technical audiences.
- Strong influence and relationship management skills.