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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: SLBC3 AI
Redwood City, CA, United States
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt,
Job Source: C3 AIPull Systems
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: Pull SystemsDice
Sunnyvale, CA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Meta Platforms, Inc. (f/k/a Facebook, Inc.), is seeking the following. Apply via Dice today! Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Sunnyvale, CA: DATA SCIENTIST: Collect, organize, interpret, and summarize stati
Job Source: DiceAttain
Redwood City, CA, United States
About Attain Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tool
Job Source: AttainSnowflake Computing
San Mateo, CA, United States
Build the future of data. Join the Snowflake team. Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing. Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, in-service of the exploding dem
Job Source: Snowflake ComputingHP
Palo Alto, CA, United States
You’re out to reimagine and reinvent what’s possible – in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
Job Source: HPVianai Systems, Inc.
Palo Alto, CA, United States
The Opportunity: Vianai is looking for an experienced Data Scientist who will build and train our next generation AI platform. Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and continued success. Expectations:
Job Source: Vianai Systems, Inc.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, our manufacturer customers optimize costs (e.g., by predicting battery maintenance), boost aftersales revenues (e.g., by offering warranty extension products) and improve consumer experiences (e.g., by automating charging workflows).
Pull Systems is well-funded by some of the best-known investors in mobility, spun out of the Up Labs incubator in 2023 as the flagship company formed in partnership with Porsche.
Data Science at Pull Systems At Pull Systems, data science is a core competency. It is at the center of our product, not just a tool to help executives make business decisions. The data science team is composed of motivated data scientists who work together as peers inventing, testing, and refining our core models for EV battery analysis. These models span analytics and discovery, statistical modeling, data mining, and machine learning.
As a small company of less than a dozen employees, every Pullitician–regardless of role–shares responsibility for a successful product. The data science team embodies this with a combination of individual and collaborative discovery, aligned very tightly with world-class data engineering and software engineering teams to solve end-to-end problems.
Some example statistical and machine learning methods we use on the data science team include Regression Analysis, Naive Bayes, Random Forests, PCA/LDA/IDA, and Neural Networks and related architectures (CNN, RNN, Transformers, LSTMs).
Requirements To qualify for this role, you must bring:
At least 4 years of experience in a professional data science, machine learning, or AI role that worked alongside engineering and software engineering teams. Pure research experience may be qualifying depending on the application.
Experience in two or more applicable data science disciplines: statistical modeling, machine learning, data mining, time series data analysis, or data engineering.
Hands-on experience in common machine learning algorithms including random forest, logistic regression, PCA, support vector machines, Neural Networks (convolutional/transformers/recurrent/etc), KNN, KMeans, or equivalent.
Experience working with engineering teams generalizing and integrating statistical models into software applications at scale, using standard engineering process and tools such as cloud platforms, source control, project management, and bug tracking.
Expertise in Python or R and modern data science packages.
Demonstrated ability to work independently on data science problems: designing, training, iterating, and validating your own models against loose directives set by management.
Proven ability to communicate your methodologies and findings to a wide range of audiences from fellow scientists to company executives.
Additional awesomeness You can expect to be especially well-matched to the role if you bring any of these additional qualities:
An advanced degree and academic research experience in data science, machine learning, or AI.
Experience working with data from vehicles.
Experience working with data from high-voltage battery systems.
Experience with covariate time series data models, especially applying them in deep learning systems.
Professional experience with companies in the mobility sector.
Experience in general software engineering, especially backend services.
Experience in and passion for building things from scratch with small teams.
Location This position is hybrid, with some routine travel to the Pull Systems offices in the SF Bay Area or LA expected on a monthly basis. Any candidates who work in Pacific time zone hours are welcome to apply if they can accommodate the occasional travel requirement.
If you work for Pull Systems, where will you be based? Note that regular travel to the SF Bay Area office is required, with preference given to local candidates.
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Email Alert for Data Scientist jobs in Palo Alto, CA, United States
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