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Jmp Data Analytics Jobs in California (NOW HIRING)

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab ... Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop ...

Bloom Energy

Staff Reliability Engineer

San Jose, CA · On-site

$120K - $151K/yr

Organize data input into Excel and JMP statistical analysis package to complete critical reliability analyses. * Work with Service, Operations, Quality Engineering and Product Development to ...

Dexcom

Mechanical Engineer 2

San Diego, CA · On-site

You are skilled at data analysis methods and software (ex. JMP), with the ability to construct creatively designed experiments to solve complex problems and run MSA (measurement system analysis) to ...

1 DexCom Inc

Mechanical Engineer 2

San Diego, CA · On-site

$100 - $125/hr

You are skilled at data analysis methods and software (ex. JMP), with the ability to construct creatively designed experiments to solve complex problems and run MSA (measurement system analysis) to ...

New

Dexcom, Inc.

Mechanical Engineer 2

San Diego, CA · On-site

You are skilled at data analysis methods and software (ex. JMP), with the ability to construct creatively designed experiments to solve complex problems and run MSA (measurement system analysis) to ...

Natera

Scientist, R&D

San Carlos, CA · On-site

Perform basic data analysis (e.g. Excel, JMP). Coordinate the analysis of studies with biostatistics and bioinformatics teams * Provide regular updates at project team and departmental meetings on ...

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Jmp Data Analytics information

What is JMP Data Analytics?

JMP Data Analytics refers to the use of the JMP software platform for statistical analysis and data visualization. JMP, developed by SAS, is widely used by scientists, engineers, and analysts to explore, analyze, and visualize data interactively. It offers tools for data cleaning, statistical modeling, and advanced analytics without requiring extensive programming knowledge. JMP is especially popular in industries such as pharmaceuticals, manufacturing, and research for its user-friendly interface and robust statistical capabilities.

How does a JMP Data Analytics professional typically collaborate with other departments within an organization?

JMP Data Analytics professionals often work closely with teams across the organization, including engineering, quality assurance, product development, and operations. They support these teams by analyzing complex data sets, creating visualizations, and providing actionable insights to guide decision-making. Effective communication and an ability to translate technical findings into clear, business-relevant recommendations are essential. Regular cross-functional meetings and collaborative projects are common, fostering a dynamic work environment where analytical expertise directly impacts company performance.

What are the key skills and qualifications needed to thrive as a JMP Data Analytics professional, and why are they important?

To thrive as a JMP Data Analytics professional, you need a solid background in statistics, data analysis, and problem-solving, often supported by a degree in a quantitative field. Proficiency with JMP software, along with familiarity with data visualization, scripting, and potentially certifications such as JMP Certified Specialist, is highly valuable. Strong communication, critical thinking, and attention to detail help you interpret results and present actionable insights effectively. These skills and qualifications are essential for transforming complex data into clear, impactful business decisions.

What is the difference between Jmp Data Analytics vs Data Analyst?

AspectJmp Data AnalyticsData Analyst
Required SkillsProficiency in JMP software, data visualization, statistical analysisData manipulation, statistical tools, Excel, SQL
Work EnvironmentResearch labs, analytics firms, industries using JMPBusiness, finance, healthcare, various industries
CertificationsJMP certification, data analysis certificationsCertified Analytics Professional, Microsoft Excel certifications

Jmp Data Analytics professionals focus on using JMP software for statistical analysis and data visualization, often within research or specialized analytics environments. Data Analysts typically work across various industries, utilizing a broader set of tools like Excel and SQL. While both roles require strong analytical skills, Jmp Data Analytics roles emphasize JMP proficiency, whereas Data Analysts may have more diverse technical toolsets.

What are popular job titles related to Jmp Data Analytics jobs in California?

For Jmp Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Jmp Data Analytics jobs in California look for?

The top searched job categories for Jmp Data Analytics jobs in California are:

What cities in California are hiring for Jmp Data Analytics jobs?

Cities in California with the most Jmp Data Analytics job openings:

Jmp Data Analytics jobs near you

Lead Data Scientist

Staffwing Inc

San Jose, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Company Description

One of our direct client, a BigData & Data Science major is looking for a Lead Data Scientist to join their team of Data Scientists. This is a permanent position with client.

Job Description

Responsibilities: 

Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client's business and develop methods to leverage that knowledge for their business.

Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management.

Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation.

Drive the collection of new data and the refinement of existing data sources.

Analyze and interpret the results of product experiments.

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing statistical analyses.

Qualifications
  • A proven passion for generating insights from data.
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Expertise in mathematics and applied statistics, computer science, and visualization capabilities.
  • Curious and an excellent learner. Able to research, explore and acquire working knowledge in new areas.
  • A complete understanding of standard statistical techniques like MLE/QMLE, GMM, OLS/GLS, univariate and multivariate time series models (e.g. ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal candidate would know when and how to apply these alternative methodologies, and the relative advantages/disadvantages of each for a particular business case.  
  • Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab
  • Highly effective communicator; able to communicate complex quantitative analysis in a clear, precise & actionable way that is meaningful to general business audience and credible to client's data scientists.
  • Fluency with at least one scripting language such as Python, Java, or C/C++.
  • Expertise with relational databases and SQL. NoSQL is a big plus.

REQUIREMENTS: 

  • MS or Ph.D. preferred in a quantitative Social Science (e.g. Economics) or Statistics with a substantive field interest.
  • At least 5 years' experience in business, consulting or applied field research with project lead responsibilities for solving analytics problems using quantitative approaches.
  • Demonstrated track record producing models and actionable insights using advanced statistical methods.
  • Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop, Hive, etc.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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