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Advanced Analytics / Data Scientist

Advanced Analytics / Data Scientist

Vitasta Consulting Pvt LtdIN
30+ days ago
Job description

JOB DESCRIPTION – Associate Manager_Advanced 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 (KRA's)

    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

    M.Sc. 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.

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