PURPOSE OF THE ROLE
Execute outstanding coding skills in order to develop advance ML/time-series models.
· Develop BI dashboards– to share final analysis result with business stakeholders
· Procure data from multiple data sources and do data munging to convert it into analytical dataset to perform time-series analysis
· Research on the newer technologies and algorithms, to improve forecast accuracy
· Interact with multiple stakeholders to present results in PPT or Jupyter Notebook/R Markdown format
· Focus on developing end-to-end analytical solution
QUALIFICATION REQUIRED
· Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science
· Bachelor’s degree with minimum 4 years or Master’ s degree with minimum 2 years of Data Science experience from a recognized institute
MUST HAVE SKILLS
· Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others)
· Excellent coding skills in - SQL, R or Python
· Good communication and interpersonal skills
· Demonstrate ability to quickly understand new concepts especially in field of analytics
PREFERRED SKILLS
· Marketing Analytics background in FMCG domain
· Econometrics/Macroeconomic model understanding
. Knowledge of visualization techniques and building dashboards in tools like PowerBI or Tableau
Skills –
R, Artificial Intelligence, Market Insights, Market Analytics, Machine Learning, Market Mix Modeling, Python.
Qualification, Course, Specialization -
University degree or equal by experience
University degree in Engineering and / or Finance – economics
Minimum 5 years’ experience in Supply / Financial / Controlling area
Experience in KPI analytics, cost accounting or finance in general
Experience in working in a process-oriented organization
Experience in a customer-oriented environment
Experience in working in a multi-cultural environment
Shared services experience is a plus
Experience in a multi-functional (technical, finance, etc.) environment is a plus
Bachelors
CA
R,Artificial Intelligence,Market Insights,Market Analytics,Machine Learning,Market Mix Modeling,Python,
IT-Software- Software services