Advanced Data Scientist

D

esign, develop and implement robust and scalable Python based applications. Need to work closely with cross-functional teams to understand requirements, analyze data, and provide technical solutions to address business needs. Your key responsibilities will include developing and maintaining Python scripts, libraries, and applications, integrating with various data sources and APIs, and ensuring the quality and reliability of the software. You should have a strong background in Python programming, familiarity with object-oriented design principles, and experience in working with databases, web services, and cloud technologies. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment are essential for this role.

A

• nalyze plant data to identify opportunities for process improvements and efficiency gains.
  

C

• ollaborate with cross-functional teams to develop and implement process control projects.
  

P

• rovide technical support and training to plant personnel on APC technologies and methodologies.
  

S

• tay abreast of the latest developments in process control technologies and industry best practices.
  

W

ill be part of a product that utilizes process data and performs advanced analytics to provide real-time insights. The engineer will be responsible to process the data and make it ready for consumption by machine learning algorithms

Y

7

• to 10 years of experience
  

B

• achelor�s or master�s degree in chemical engineering or computer engineering or a related field.
  

S

• trong analytics skills: ability to assess data, engineer / process it for consumption by ML models
  

P

• roficiency in programming languages & libraries
  

.

• loud: AWS, Azure.
  

.

• anguages: Advanced Python, pySpark
  

.

• ramework: Lambda , Django, Express.
  

.

• atabase: Postgres, Mongo, ES
  

E

• xperience in developments related to Industrial Automation Domain
  

H

• ands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications
  

K

• nowledge on packaging python applications
  

P

• referred development experience with agile methodologies
  

U

• nderstanding on version control system � git/bitbucket, DevOps toolset, Github Copilot
  

A

• bility to leverage productivity enhancing tools to enable faster delivery, more features
  

W

• illingness to explore and adopt to new trends and align to organizational goals
  

D

• emonstrate excellent analytical, technical, interpersonal, be a good team player and be able to perform independently
  

C

• hemical engineers with APC/APM experience shall be added advantage
  

H