
Senior Analytics Expert
1 week ago
Data Science Leadership Role
\At our organization, we are seeking a visionary and experienced Principal Data Scientist/Architect to lead our data science initiatives.
\Responsibilities:
\- Develop strategic plans for data science vision and strategy, aligning with business objectives.
- Design scalable data platforms and solutions for advanced analytics and AI/ML initiatives.
- Lead the development of statistical and machine learning models to solve complex business problems.
- Explore and analyze large datasets, identifying key insights and trends that inform business decisions.
- Guide junior data scientists and engineers in their professional growth.
- Collaborate with stakeholders to understand their needs and translate them into data-driven solutions.
- Stay up-to-date with 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:
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
- Proficiency in programming languages such as Python, R, or similar.
- Strong skills in statistical analysis, including hypothesis testing, confidence intervals, and regression analysis.
- Familiarity with data visualization tools & libraries (e.g., Tableau, Power BI, Plotly, Matplotlib, Seaborn, Vega-Lite and others).
- Dimensionality reduction and feature extraction techniques like Principal Component Analysis, Singular Value Decomposition, and Linear Discriminant Analysis.
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