Address
SalaryJob Description
Job Title
Data Scientist/Senior Data Scientist
Location
Software Technology Innovation Center (STIC), Menlo Park, CA, USA
Job Description
SLB’s Software Technology Innovation Center (STIC) is looking for an experienced Data Scientist with a solid fundamental understanding of various modern machine-learning methods to address highly challenging scientific and engineering problems. Drawing on an advanced degree in a quantitative field such as Computer Science, Physics, Statistics, or Applied Mathematics, the Data Scientist should demonstrate the knowledge and experience to tackle open-ended data problems by inventing new algorithms and technology. They will have advanced working knowledge and experience with Machine Learning (ML) algorithms and population-based meta-heuristic and gradient-based optimization methods. They will also research and assess next-generation technologies for data-driven modeling and optimization of complex systems.
Additionally, the Data Scientist will collaborate with other scientists and engineers to leverage ML methods and algorithms for modeling and optimizing problems in the energy industry. They will participate in data science, industrial analytics, data-driven prognostics, data mining, and machine learning. Besides theoretical analysis and innovation, they will work closely with talented engineers to envision solutions and implement algorithms and models.
Reporting to the Technical Lead, the position enjoys a highly visible role within the organization, with opportunities to collaborate closely with leading technology players in the Silicon Valley network. This is a very hands-on role, where the candidate will be expected to lead by owning solutions from inception to delivery.
Responsibilities
Research and develop data analytics and ML systems for business applications.- Work with subject matter experts to understand domain needs and constraints.
- Work with software engineers to integrate ML solutions in business workflows.
- Communicate complex ML concepts to management, clients, and the business community.
- Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems.
- Demonstrate advanced working knowledge and experience with data analytics, machine learning algorithms, and optimization methods.
- Generate innovative ideas, establish new technology development directions, and shape and execute technical projects.
- Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
- Actively disseminate knowledge via Webinars, talks and tutorials for the technical community within SLB.
- Strong knowledge of latest Generative AI technologies, preferably Large Language Models (LLMs), is highly recommended.
- Apply theoretical knowledge to solve industrial problems.
- Process large multivariate data sets collected from equipment operations, manufacturing tests, and diagnostic routines.
- Communicate ideas, plans, and results effectively via oral and written reports.
- Works across multiple cross-functional teams in high-visibility roles to prototype end-to-end data solutions.
- Works effectively with peers, management, operations groups, and outside organizations.
- Willingness to provide technical, social, and practical mentorship guidance to others as needed.
- May participate in the relevant technical reviews and audits of the projects.
- May review, mentor, and coach while defining and promoting the usage of standards, best practices, and lessons learned.
Salary
190K - 230K
Qualifications
MS / Ph.D. in Computer Science, Mathematics, Applied Statistics, Physics, Engineering, or similar disciplines with demonstrated research capability, software experience or education, probability theory, decision theory, statistics, ML, reasoning, and inference frameworks.
At least 3-4 years of experience in a few areas: deep neural networks, reinforcement learning, Markov Random Fields, Bayesian networks, semi-supervised learning, natural language processing, computer vision, image processing, signal processing, distributed computing, and numerical optimization.
Software development skills and familiarity with database, programming, and data science development languages such as R, Python, TensorFlow, and PyTorch.
Familiarity with ML frameworks such as Tensorflow and PyTorch is a must.
Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus.
Strong oral and written communication skills.
Perks And Benefits
International Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Insurance
Health, vision, and dental insurance for you and your dependents available from day 1
Diverse And Inclusive Culture
Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.
Hybrid Work
BlueFLEX offers you more flexibility for a better work-life balance and empowers you to continuously perform at a high level regardless of where you're working from. Check eligibility in job description.
ALL APPLICANTS FOR U.S. ROLES MUST CAREFULLY READ ALL THE SUPPLEMENTAL U.S. SPECIFIC INFORMATION LISTED BELOW.
SLB is committed to a culture where everyone feels like they belong. To learn more about our diversity, equity, and inclusion commitments, please visit our Diversity & Inclusion | SLB (slb.com) page for more information.
When certifying your application, you are also certifying on reading and understanding all of the below supplemental information. For purposes of the application and the below information, Company shall be defined to mean SLB. Please note that the below supplemental information and the employment application are NOT a contract.
- EQUAL EMPLOYMENT OPPORTUNITY & VETERANS
Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an “Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: https://www.dol.gov/agencies/ofccp/posters. The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.
- REASONABLE ACCOMMODATIONS
The Company will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete the application or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
- AUTHORIZATION FOR EMPLOYMENT
Pursuant to the Immigration Reform and Control Act of 1986, all applicants who are offered and accept employment must produce documents establishing their identity and authorization for employment in the United States. These documents must be produced no later than seventy-two (72) hours after employment commences. In addition, all applicants who are offered and accept employment will be required to verify their employment authorization under oath by signing a USCIS Form I-9. Schlumberger is an E-Verify employer.
- APPLICATION CERTIFICATION
When applying to a job please read the application carefully before certifying that all of the answers you have given are true, accurate and complete. Ensure that you have read and fully understand the questions asked in the application. Unless noted otherwise, by certifying the application, you are also agreeing to and/or authorizing the following:
- You understand that any omission and/or misrepresentation of any fact from or on the application or during any interview will result in immediate rejection of the application, or if hired, will be cause for immediate dismissal.
- You certify that you have read and understand all the supplemental information listed on the job description page for the job that you are applying for.
- You authorize the Company to contact the education institutions that you have attended and for the Company to make any further investigations deemed necessary in connection with your application for employment.
- You authorize the Company to inquire about, investigate and obtain copies of any records which relate to you from your former employers and educational institutions.
- You release the Company and all affiliated persons and entities, as well as any person or institution that provides the Company with any lawful information about you, from any and all liability whatsoever resulting from any such lawful inquiry, investigation, or communication.
- You agree that if hired, you will review and become familiar with all the rules and regulations of the Company.
- You understand and agree that nothing in the application or supplement shall constitute an offer, a contract, or a guarantee of employment for a specific period of time.
- If hired, you understand that your employment may be terminated with or without cause and with or without notice at any time, at the will of the Company or yourself, for any or no reason.
- If hired, you understand that no supervisor or manager has authority to make an agreement to the contrary changing employment at-will.
- If hired, you understand that the Company and all plan administrators shall have the maximum discretion permitted by law to administer, interpret, modify, discontinue, enhance, or otherwise change all policies, procedures, benefits or other terms and conditions of employment.
- You understand that any application that is filled out will be in effect for 90 days from the date you certified it and, if employment is not offered within the 90-day period, you understand that you must reapply to be considered for future employment.
- You understand that your application for employment in no way obligates the Company to employ you.
- STATE INFORMATION
Please read below any applicable State Information. By certifying the application, you are also certifying that you have read and understood any applicable State Information that is listed below.
- ARIZONA APPLICANTS ONLY: To the extent required by applicable law, the Company maintains a smoke-free workplace.
- CALIFORNIA APPLICANTS ONLY: I understand the Company may obtain, without using the services of a third party investigative consumer reporting agency, public records pertaining to my character, general reputation, personal characteristics, or mode of living during its evaluation of my application for employment and, if employed, during my employment. By checking the following box, I waive my right to receive copies of public records obtained by the Company.
- MASSACHUSETTS APPLICANTS ONLY: Note that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
- MARYLAND APPLICANTS ONLY: Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a lie detector or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.
- NEBRASKA APPLICANTS ONLY: By certifying the application you, hereby give consent to any and all prior employers of yours to provide information with regard to your employment with prior employers to SLB.
