Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
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 AIMindlance
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 LynxSonatus
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: GleanMenlo 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 Responsibilities:
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Leverage product analytical skills to drive data insights and influence product roadmap and team strategy.
Skills:
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.
Must- Have Skills:
Python and SQL
2-4 years of tech product experience
experience working with large data sets, analyzing and interpreting A/B testing results for product decisions.
Strong product sense and story telling skills to influence product strategy by leveraging data insights.
Experience in product analytics and driving product strategy.
Nice to Have :
Strong in modeling and machine learning
Education/Experience:
Master of Science degree in statistics, computer science or in a relevant field
#J-18808-Ljbffr
Email Alert for Data Scientist jobs in Menlo Park, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.