Data Scientist - Digital Innovation

Role: SDIE Data Scientist

Location : Chennai, India

My Client delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment

They are seeking an experienced Data Scientist to lead the development of a Data Science program. You will work closely with Companies stakeholders to derive deep industry knowledge across paper, water, leather, and performance chemical industries.

- You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers, and augmenting capabilities with additional internal hires.

- A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve old problems in unique and novel ways.

- You will not have a large internal team to rely on, at least initially, so individual expertise, -breadth of data science knowledge, and ability to partner with external companies will be essential for success.

- In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions.

Basic Qualifications

- Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science

- 5+ yrs of relevant working experience in an analytical role involving data extraction, analysis, and visualization and expertise in the following areas:

- A demonstrated record of success with a verifiable portfolio of problems tackled

Preferred qualifications.

- Master's or PhD degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science

- Experience in the specialty chemicals sector or similar industry

- Background in engineering, especially Chemical Engineering

- Experience starting up a data science program

- Experience working with global stakeholders

- Experience working in a start-up environment, preferably in an IoT company

- Knowledge in quantitative modeling tools and statistical analysis