
Visionary Data Science Expert
9 hours ago
We are seeking a visionary data science expert to spearhead our analytics efforts. As a senior leader, you will define our analytics strategy, drive innovation in machine learning, and build scalable solutions that impact our business.
Key Responsibilities:- Data Strategy: Champion our analytics vision and strategy, aligning it with business objectives. Identify high-impact projects and prioritize them accordingly.
- Model Development & Innovation: Lead the development of advanced statistical and machine learning models to solve complex business problems. Drive innovation by exploring new algorithms and techniques.
- Data Exploration & Analysis: Lead data exploration and analysis efforts, identifying key insights and trends that inform business decisions. Develop data visualizations and dashboards to communicate findings effectively.
- Mentorship & Team Leadership: Mentor junior data scientists and engineers, fostering a culture of learning and growth. Provide technical leadership and direction on data science projects.
- Cross-functional Collaboration: Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions. Communicate complex technical concepts to non-technical audiences.
Requirements
- Bachelor's/Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field with a strong focus on data science and machine learning.
- 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. Experience in a leadership or architectural role is highly preferred.
- Strong 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.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).
Desirable Skills
- Excellent skills in finding the central tendency (mean, median, mode), variability (range, variance, standard deviation), distribution (frequency distributions, box plots etc.). Concepts of Probability, Discrete and Continuous distributions. Discrete Distribution (Binomial, Poisson, Geometric), Continuous Distribution (Normal, Uniform, Exponential). Excellent skills in Hypothesis Testing using Z Test, finding confidence intervals for estimating population parameters, regression analysis to model the relationship between variables, correlation techniques, density estimates for estimating probability density function, chi square test for testing independence between two categorical variables, Analysis of variance (ANOVA) technique for comparing means of two groups, A/B Testing. Linear Algebra, Gradient Calculus. N Gram analysis of texts, trend analysis of text inputs etc.
- Familiarity with data visualization tools & libraries (e.g., Tableau, Power BI, Plotly, Matplotlib, Seaborn, Vega-Lite and others. Drawing inferences from data visualization).
- Experience with MLOps tools and practices is a plus.
- Dimensionality reduction and feature extraction techniques like Principal Component Analysis, Singular Value Decomposition, and Linear Discriminate Analysis.
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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