Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,235,169)

Job Information

Applied Materials Machine Learning Developer III - (B3) in Santa Clara, California

About the Role

We are looking for a passionate Data Scientist. The successful candidate will turn data into information, information into insight and insight into business decisions.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports.

• Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modelling to solve variety of Business Problems.

• Acquire data from primary or secondary data sources and maintain databases/data systems.

• Identify, analyze, and interpret trends or patterns in complex data sets.

• Locate and define new process improvement opportunities.

• Be a member of the Data Science team and help in code review processes.

Requirements

• Expertise regarding data models, database design development, data mining and segmentation techniques.

• Strong knowledge of and experience with reporting tools (Tableau), databases (SQL etc), programming (R, Python).

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests etc.) and experience with applications.

• Strong analytics skill with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Knowledge of a variety of machine learning techniques/models (k-means, decision trees, random forest etc.)

• Expertise in writing and reviewing SQL Queries

• Good knowledge in various machine learning

Qualification/Experience

• Master's Degree

• 4-7 Year’s of relevant experience

Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

No

U.S. Salary Range:

$120,000.00 - $165,000.00

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

DirectEmployers