Advanced Analytics Data Scientist
Advanced Analytics Data Scientist
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1 Vacancy
Job Description
JOB DESCRIPTION Associate ManagerAdvanced Analytics
Reporting To:
AVP Data Science &
Advanced Analytics
Department:
Measurement Science
Function:
Data Science &
Advanced Analytics
Supervising (Role):
N/A
Span of Control:
N/A
Role Objective
The Data Scientist supports the Head Data Science & Advance Analytics by conducting data extraction data
manipulation and advanced analytics using various statistical and Machine Learning techniques in order to support both
the Pure Science & Methodology and Research Intelligence & Operations teams within the Measurement Science
Department as well as various corporate projects.
Job Responsibilities
Conducts experimental data mining fusion and data modelling projects.
Designs and applies modelling algorithms to be deployed for production improvements.
Discovers new data sources and new uses for existing data sources.
Creates and enhances statistical models for numeric and categorical data.
Designs fusion and modelling approaches and documents processes and outcomes.
Works across a broad range of data platforms formats and processing techniques.
Exposure to data management and data engineering techniques.
Cleans modifies and formats large data sets.
Combines technical skills with business savvy to transform large amounts of data into relevant and actionable
insights.
Uses advanced Analytic techniques such as Log-linear Modelling CHAID Analyses Regression Analysis Markov
Chain Attribution Logistic Regression Clustering Decision Trees Optimization Simulation Cross Validation etc.
using R / Python.
Develops new technical skills and improves business knowledge to encourage innovation.
Measure of Success (KRAs)
the television viewing data
Provide accurate statistical inference and analysis on data sets allowing for the deeper understanding of patters in
Successfully develop code to support analysis data extraction or data manipulation
Develop various statistical fusion and calibration models
Job Specifications
Minimum Education
. in Applied Statistics Biostatistics or other quantitative field with very strong statistical
background
Minimum/Relevant
Experience
Professional experience of 5 to 8 years with specialized experience in statistical inference
(Frequentist and Bayesian) data mining machine learning and predictive analytics.
Expertise in R & Python. Working knowledge of Scala will be an advantage.
Past Industry
Experience
Behavioral
Skills
Technical
Skills
Experience in the television broadcasting or advertising industries an asset.
Strong communication skills to present models and results to varying audiences.
Concentration and creativity required daily using sight hearing and touch to extract and
verify data quality analyze diary survey diagnostics maintain databases perform
statistical analysis solve complex problems write programs respond to inquiries attend
meetings etc.
Specialized experience in data mining machine learning and predictive analytics.
Advanced knowledge of parametric non-parametric and Bayesian statistics (e.g. Markov
Chain Monte Carlo Conjoint Analysis Neural Networks binary or multinomial Logistic
Regression Log-linear modelling) required.
Expert level knowledge of R and Python required.
Knowledge of structured and unstructured databases
Project management skills an asset
Language Skills
English Hindi
Key Interactions
Internal Stakeholders
CEO Office
Partnerships
Technology
Panel Team
Key Interactions
External Stakeholders
Ad Hoc may be required to present in broadcasters presentations
Job Description Template H.R.
PYTHON , LOGISTIC REGRESSION , ADVANCED ANALYTICS , R , NEURAL NETWORKS , CONJOINT ANALYSIS , REGRESSION ANALYSIS
Employment Type
Remote
Company Industry
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
