Data Scientist

Data Scientist

SLB Pune, Maharashtra, India (Hybrid)

About us

We are a global technology company, driving energy innovation for a balanced planet.​ Together, we create amazing technology that unlocks access to energy for the benefit of all.​

Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse group of experts in our industry, anywhere around the globe.

Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

About SLB Technical Services India (STS-I):

SLB is committed to moving farther and faster in facilitating the world's energy needs today and forging the road ahead for the energy transition. STSI’s determination to transformation is the start of a journey towards a culture of continuous performance improvement. Over the years STSI has also developed key expertise and support roles in higher scale work both in business vertical (within a PG) and horizontal (across PGs). To position itself as a critical support center for EMS capable of strong value addition while also being recognized as having their own excellence in key services, STSI has identified the need to attain a recognition as a Center of Excellence (CoE).

For more details you may visit our Company’s Official site: www.slb.com

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:

· Extensive experience in Python algorithm programming or data science (not in app development like Flask,

Pyramid or Django).

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

· Experience with Git basics

· 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 degree in any science or engineering major with courses in physics, mathematics and numerical programming. A minimum GPA of 3.5/4.0 scale

and

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.

This is an office based position, with the expectation to come into the office four days a week.

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

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