
Chief Data Strategist
2 days ago
Job Title:
Senior Analytics LeaderThis is a highly demanding role for an experienced professional who will lead the company's data science initiatives and shape the analytics strategy.
- Strategy Development:
- Develop and champion a comprehensive data science vision and strategy, aligning it with business objectives.
- Architecture Design:
- Design and architect scalable and robust data platforms and solutions to support advanced analytics and AI/ML initiatives.
- Model Development & Innovation:
- Lead the development and implementation of advanced statistical and machine learning models to solve complex business problems.
- Data Exploration & Analysis:
- Lead data exploration and analysis efforts, identifying key insights and trends that can inform business decisions.
- Mentorship & Team Leadership:
- Mentor and guide junior data scientists and engineers, fostering a culture of learning and growth.
- Cross-functional Collaboration:
- Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions.
- Research & Development:
- Stay up-to-date with the latest advancements in data science, AI/ML, and related fields.
Qualifications:
- Education: Ph.D./Bachelor/Master's degree in Computer Science, Statistics, Mathematics, or a related field with a strong focus on data science and machine learning.
- Experience: 12+ years of overall experience with minimum 8+ years in data science, with a proven track record of developing and deploying successful AI/ML solutions.
- Technical Skills:
- Strong expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python, R, or similar.
- Experience with big data technologies and cloud computing platforms.
- Excellent skills in finding central tendency, variability, distribution, probability, discrete and continuous distributions, hypothesis testing, correlation techniques, density estimates, and A/B Testing.
- Linear Algebra, Gradient Calculus, N Gram analysis, trend analysis, dimensionality reduction, feature extraction, Generative AI, transformer models, and prompt engineering.
- Has worked on multiple transformer models for natural language processing and image/video generation.
Business Acumen:
Strong understanding of business principles and the ability to translate business needs into data-driven solutions.
Communication Skills:
Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
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