Head of Data Science

Candidate Details

Salary

$350,000 a year

Availability

4 weeks notice

Job Type

Permanent

Specialisms

• Data Science
• Statistics
• Quantitative Modeling
• Machine Learning & AI
• Predictive Analytics
• People Management & Leadership

Experience

15+ years

Overview

About the candidate

An experienced Data Science professional with research publications in international journals that has over a decade’s worth of comprehensive & in-depth experience in the IT industry with specialization and expertise in Data Science, Machine Learning, and Business Intelligence (Data Warehousing and Data Mining) domains. Currently working as a Head of Data Science and discretely looking for their next challenge with an innovative and forward-thinking organization.

Areas of expertise

• Accomplished and high-performing management executive with deep expertise in the application of data science, analytics, business intelligence, data mining, and statistics in multiple industries (Retail, Marketing, Manufacturing, Banking & Insurance and Telecoms).

• Skilled in the conception and execution of strategic plans, developing predictive analytic roadmaps and the architecture of associated tactics including performance benchmarking against key operational targets/goals.

• Creative problem solver with a unique mix of technical, business, and research proficiency that lends itself to developing key strategies and world-class solutions with significant impact on revenue and ROI.

• Highly committed to a management style embracing continuous learning and improvement. Excellent knowledge of, and experience with a wide range of software applications, and computer operating systems.

• True leader and mentor who inspires confidence in employees by empowering them to do their jobs and respecting them for their accomplishments. Fosters an encouraging environment for creative thinking and innovative, real-world solutions to complex business and technical challenges.

What makes them great?

• 10+ years of experience as a Data Scientist, Data Science Manager and Head of Data Science

• 8+ years of management experience leading Data Science teams

• An extensive background in solving complex data problems for global enterprise organizations

• Possesses strong quantitative modeling skills heavily focused on machine learning

• Analytics Methodology & Algorithm: CRISP-DM (Cross Industry Standard Process for Data Mining), Linear regression, Logistic regression, neural networks, XG Boosting, Random Forrest, Decision trees, naive bayes, genetic algorithms, genetic programming, unsupervised learning, Natural Language Processing, hypothesis testing (means difference, proportion difference), segmentation (behavioural, demographic, geographic) variable reduction (factor analysis)

• Technical experience with ETL, Data Warehousing, Star Schema, Snowflake Schema, Azure (Cloud, Steam Analytics, Event Hubs, Databricks, Data Factory, Mobile Engagement-Analytics, Cognitive Analytics, ML), Domino, R, Python, Numpy, Scipy, Scikt-learn, Tensorflow, Keras, PyTorch, NLTK, Pattern, Panda, H2O Scala, KNIME, SPSS, XML, JavaScript, PHP, MS SQL, MySQL

• PhD in Statistics & MSc in Data Warehousing and Data Mining