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SLB
Menlo Park, CA, United States
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 challengi
Job Source: SLBMindlance
Menlo Park, CA, United States
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose bus
Job Source: MindlanceDiverse Lynx
Menlo Park, CA, United States
Job Title: Data Scientist Location: Menlo Park, CA Onsite from day 1st Duration: Full Time Job Description Job Summary: We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will have a strong background in Big Data technologies, including Hadoop, as well as proficiency in data visualization tools such
Job Source: Diverse LynxDice
Menlo Park, CA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SGS Consulting, is seeking the following. Apply via Dice today! SUMMARY: The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibiliti
Job Source: DiceSonatus
Sunnyvale, CA, United States
Sonatus is a well-funded, fast-paced, and fast-growing company whose technologies and software help automakers build dynamic software-defined vehicles. With two generations of solutions already on the road with a top global OEM, our vehicle and cloud software solutions are at the forefront of the digital transformation of vehicles. The Sonatus team
Job Source: SonatusPull
Palo Alto, CA, United States
Pull Systems helps electric vehicle (EV) manufacturers, suppliers and operators manage their fleets with increasing levels of automation. Our software platform is underpinned by a library of machine learning models that predict battery behavior using a world class database of 3 years of operating history from nearly 100k vehicles. With Pull Systems
Job Source: PullQuantifind
Palo Alto, CA, United States
Who You Are You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statisti
Job Source: QuantifindGlean
Palo Alto, CA, United States
About Glean We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-lev
Job Source: GleanSan Jose, CA, United States
About the Job As a Data Scientist at Anthro Energy, you will play a pivotal role in leveraging data to drive innovation in lithium-ion electrolyte technology. You will be responsible for structuring data and developing predictive models to accelerate Anthro's material development. This position offers a unique opportunity to contribute to the advancement of sustainable energy solutions in a dynamic startup environment.
What you will do Develop and implement statistical and machine learning models to analyze complex datasets, identify trends, and solve problems related to battery performance and manufacturing processes.
Design, implement, and manage a cloud-based database system using Azure to store and process large datasets related to battery research and development.
Collaborate with the R&D team to design experiments and analyze experimental data for the development of novel electrolyte materials.
Work with consultants and contractors to build and improve internal data systems at Anthro.
Apply predictive modeling to enhance the performance of battery cells.
Utilize data visualization techniques to present findings and drive decision-making.
Stay abreast of advancements in AI/ML to apply cutting-edge techniques to battery technology data.
Requirements
Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Proven experience in machine learning, predictive analytics, and statistical modeling.
Proficiency in programming languages such as Python, R, or MATLAB to analyze large data sets. Experience with pandas, numpy, sci-kit learn, pytorch, and similar preferred.
Experience with SQL and database management systems.
Experience in developing solutions and validating them using control theories such as adaptive filtering techniques
Strong knowledge of battery technology and electrochemistry is preferred.
Excellent problem-solving abilities and attention to detail.
Ability to communicate complex data in a clear and actionable manner.
Experience with big data platforms and tools is a plus.
Benefits
Competitive salary and equity compensation commensurate with experience
Generous paid time off and sick days in addition to Holidays
Medical, dental, and vision coverage for team members and dependents
Diverse and inclusive work environment
Email Alert for Data Scientist jobs in San Jose, CA, United States
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