Data Scientist

Position - Data Scientist

Job Description:

· The core responsibility of a TLM Data Scientist is to develop Python algorithms for determining the health state of machinery equipment to improve their operational reliability and efficiency. · The candidate will collaborate closely with engineer SMEs to understand equipment physics and develop sustainable, industrial-grade AI/analytics solutions.

· The role involves analyzing large time-series data from sensor measurements combined with other operational data in cloud as well as in local system.

· There will be a strong emphasis on applying engineering domain knowledge in developing algorithms and extracting features out of raw data to build diagnostic and prognostic models.

Skills Required:

Coding Skills:

1. Extensive experience in Python algorithm programming or data science (not in app development like Flask, Pyramid or Django).

2. Proficient in using Python libraries like Pandas, Numpy, Scikit-learn, Matplotlib, and Bokeh

3. Experience with Git basics

4. Basic SQL queries

Fundamental Technical Skills:

1. Understanding of elementary physics and mathematics (e.g. acceleration, force, vector arithmetic)

2. Understanding of fundamental probability and statistics (distributions, standard dev, percentiles, histograms, sampling)

Project Skills:

1. Professional working level of English writing and speaking.

TOEFL iBT score 80.

2. Proficient in writing technical reports and delivering formal presentations to stakeholders

3. Able to lead technical discussions with domain experts

Qualifications and Experience:

A bachelor's degree in any science or engineering major with courses in physics, mathematics, and numerical programming.

A minimum GPA of 3.5/4.0 scale.

A Master of Science degree in data science, analytics, or engineering with a thesis or research projects involving hands-on algorithm development, statistical analysis, and machine learning using Python.

Full time