Job Title

Data Scientist

Job Description

The Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modeling 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, analyze & 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 analyze 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.
  

Location

Bangalore, KA, India

Additional Locations

Employee Type

Employee

Job Functional Area

Data Science & Analytics

Kaplan is an Equal Opportunity Employer