Job Description:

The Lead Data scientist will support the IT Infrastructure organizations leadership, operations, service & automation/engineering teams with insights from analyzing the data The ideal candidate should be adept at using large data sets to find opportunities for automation, optimization & simplification and in providing direct value to business by using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations They must have a proven ability to drive business results with their data-based insights & thru predictive modeling They must be comfortable working with a wide range of stakeholders and functional teams Should have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes Excellent business communication and executive level presentation skills

Typical Accountabilities

Work with multiple IT teams & business units to identify opportunities for leveraging data to drive business solutions
Mine and analyze data from various sources (including ServiceNow) to drive optimization, automation & bring business value by creating valuable business strategies
Able to identify problems and suggest improvements, or adapt existing methods and techniques drawing from past experiences and feedback
Use predictive modeling to increase and optimize customer experiences, cost optimization, simplification, and other business outcomes
Strong into Business Analysis planning and monitoring, Enterprise Analysis, Requirement management, and communication
Optimize models using machine learning techniques including feature selection & engineering, boosting, deep learning and ensembles
Understands Enterprise business needs and applies AI/Machine Learning technology to solve real-world problems that benefit horizontal goals & objectives
Build rich multi-dimensional reports and data visualizations to present findings and support team with reporting and data requests as needed
Rapidly prototyping proof-of-concept idea, conceptualize, deploy data science solutions for business questions Expert into Agile Scrum principals, Task meeting/Retrospective
Provide objective guidance without personal or political considerations
Quantitative Analysis of Data Processing, cleansing, and verifying the integrity of data used for analysis
Understanding about how the business performs, and to build AI tools that automate certain processes within teams
Build work culture aiming to collaborate with cross-functional teams across the enterprise such as data engineers, data scientists, application developers, platform, tools specialists and several other key leadership roles

Education, Qualifications, and Experience

Essential

Strong problem-solving skills with an emphasis on product development
Experience with common data science toolkits, such as R, Python, MatLab, etc Manipulate data sets and create visualizations to communicate results in R Programming
Experience with data visualization tools such as PowerBI, Tableau, etc
Proficiency in using query languages such as SQL, Hive, Pig, etc
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
8-12 years of relevant experience in data analytics solution domain
Certified specialist in predictive analytics (CSPA)

Desirable

knowledge of at least one data visualization tool like QlikView/License
Good knowledge of RDBMS and knowledge of at least one NoSQL database
Experience in manufacturing/Pharma domain will be an added advantage
Knowledge in distributed computing, big data analysis, and database
Producing reports and executive level presentations to communicate findings to stakeholders

Skills and Capabilities

Essential

Passion for solving customer problems through innovative analysis of data
Self-starter, independent and with the ability to come up with solutions to complex problems
The ability to work independently and in small teams, partner effectively cross-group, and manage multiple priorities and deliverables concurrently
Trains and upskills the team on analytical and visualization techniques
Strong and effective communication (both written and verbal) with colleagues, business leaders, and external stakeholders including customers
Proficient at translating unstructured business problems into an abstract mathematical framework
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc) and experience with applications
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques

Desirable

Demonstrated leadership skills interacting with senior leaders
Exhibits high levels of learning agility in which they seek out and learn from unfamiliar experiences
Present analysis and recommendations to a diverse group of enterprise-wide stakeholders

Key Relationships to reach solutions

Internal (to AZ or team)

The global Infrastructure Operations team
Global Strategic teams
Key business stakeholders
Other IT towers

External (to AZ)

Global Vendors
Third party suppliers
External networks

Lead Consultant - Data scientist

Information Technology

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Biotechnology/Pharmaceutical/Medicine, Manufacturing/Industrial
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 20th Feb 2020

Key Skills:

Company Profile:

Company
ASTRAZENECA PHARMA INDIA LTDarfix

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