Data Scientist

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.

Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.

Generate clearly understood and intuitive data science / advanced analytics outputs.

Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.

Participate in best practice sharing and communication platform for advancement of the data science discipline.

Coach and collaborate with other data scientists and data analysts.

Present impact, insights, outcomes & recommendations to key business partners and stakeholders.

Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree

5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.

Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.

Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.

Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements

Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.

Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.

Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.

Strong written and verbal communications skills, as well as presentation skills.