
Strategic Analytics Leader
14 hours ago
Job Overview
We are seeking a Senior Data Scientist to lead our data science team and drive business growth through strategic decision-making.
The ideal candidate will have a strong background in statistical analysis, machine learning, and deep learning. They should be able to manage projects, build analytics models, and communicate complex findings to diverse stakeholders.
Key Responsibilities:
- Develop and implement statistical techniques, algorithms, and machine learning/deep learning models to create new, scalable solutions addressing business challenges across industries.
- Define, develop, maintain, and evolve data models, tools, and capabilities.
- Communicate findings to the appropriate teams through visualizations.
- Collaborate and communicate with diverse stakeholders.
- Develop solutions for 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, and marketing mix optimization.
- Ability to build, train, and lead a team of data scientists.
- Follow/maintain an agile methodology for delivering project milestones.
- Excellent oral, presentation, and written communication skills.
- Experience applying statistical ideas and methods to data sets to answer business problems.
- Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies.
Required Qualifications:
- Bachelor's/Master's/Ph.D. degree in math, computer science, information systems, machine learning, statistics, applied mathematics, or related technical degrees.
- At least 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.
- Ability to convert analytical output into clear, concise, and persuasive insights/recommendations for technical and non-technical audiences.
- Strong influence and relationship management skills.
Benefits:
- Opportunity to work on high-impact projects that drive business growth and innovation.
- Chance to collaborate with diverse stakeholders and build a strong network of professionals.
- Continuous learning and professional development opportunities.
How to Apply:
Apply now to take your career to the next level as a Senior Data Scientist.
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