Expert Data Science

Job Description Summary

• 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

 

Job Description

Major accountabilities:

• • 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 client's 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 client's 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

Key performance indicators:

• ·       Speed of delivery & quality of deliverables

  ·       Complexity of projects

  ·       Standardization of processes

  ·       Innovation & new technology adoption

  ·       Agile practices for productivity

  ·       Technical & functional mentoring

Minimum Requirements:
Work Experience:

• ·       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

Languages :

• English.

 

Skills Desired

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