Expert Data Science

Supports in building of analytical solutions to support the Novartis internal customers on various business initiatives.
Work with Sr. Data Scientist /Business lead to solve analytics problems and documents results and methodologies

• Supports the data related activities like Data acquisition, Data transformation, Data integration, Data discovery and summary of data formats, etc
  Helps team to wrangle data for analysis, following data wrangling principals
  Actively works on the delivery of analytical deliverables
  Tests the experimental design approaches to validate finding or test hypotheses.
  Supports sr. data scientist to develop innovative and effective approaches to solve clients analytics problems and communicates results and methodologies.
  Conducts advanced data analysis and moderately complex designs algorithm
  Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.
  Supports Building powerful visualizations to convey the insights derived from the data
  Works on moderately complex & cross functional data science / analytics solutions
  Aligns with the work plans timelines to meet time frames
  Supports to design experiments, test hypotheses, and build models
  Follows the given experimental design approaches to validate finding or test hypotheses.
  Efficiently channelize the ad-hoc issues in demand flows and supports Sr. data scientist to troubleshoot them
  Supports Sr. Data Scientists to implement innovative and effective approaches to solve clients analytics problems
  Follows standard operating procedures (SOPs)
  Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes

• Speed of delivery & quality of deliverables
  Complexity of projects
  Standardization of processes
  Innovation & new technology adoption
  Agile practices for productivity
  Technical & functional mentoring

• Experience (4-7 years) preferred in business analytics or data science
  Awareness of the project site work streams like Quality Risk Management, demand management, forecasting, supply chain analytics and global supportive activities
  Exposure & experience in Statistical techniques, machine learning, NLP,etc
  Some understanding of supply chain/ Manufacturing / quality and associated areas
  Experience in Data Wrangling & Statistical / ML application using R or Python
  Expertise in building powerful visualizations using Tableau / Qliksense / R shiny, etc
  Able to work in Agile environment
  Strong quality & compliance mindset
  Ability to manage substantial volumes of data
  Good communication/ collaboration/ storytelling skills
  Action-oriented approach
  Excellent analytical skills

• English.

Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis