
Innovative Data Strategist
14 hours ago
We are seeking a visionary leader to spearhead our data science initiatives. This role will be instrumental in defining our data strategy, driving innovation in AI/ML, and building scalable data solutions that directly impact our business.
- Data Strategy: Define and champion the company's 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.
Requirements:
- 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:
- Programming Languages: Strong expertise in Python, R, or similar languages.
- Data Technologies: Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).
- Statistics & Machine Learning: Excellent skills in finding central tendency, variability, distribution, probability, discrete and continuous distributions, hypothesis testing, confidence intervals, regression analysis, correlation techniques, density estimates, chi-square test, ANOVA technique, A/B Testing.
Benefits:
- 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.
Other Requirements:
- Generative AI: Familiarity with Generative AI, including Transformer Models and Generative Adversarial Networks.
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