ZipRecruiter

Log In

1

Freelance Data Science Startup Jobs in Arizona (NOW HIRING)

Vantage Data Centers

Senior Project Engineer, NA

Phoenix, AZ · On-site

$98K - $128K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology ... Oversee OFCI equipment release, delivery, deficiencies, startup and commissioning * Ensure project ...

Vantage Data Centers

Senior Project Engineer, NA

Phoenix, AZ · On-site

$98K - $128K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology ... Oversee OFCI equipment release, delivery, deficiencies, startup and commissioning * Ensure project ...

Alphacore Inc

Manager/Lead Analog Design Engineer

Tempe, AZ · On-site +1

$193K/yr

... scientific research, aerospace, defence, medical imaging, and homeland security. We are ... Experience with high speed ADC data convertors is a must * Required: Bachelor's degree from a four ...

previous page

Showing results 41-60

All JobsData Science Startup JobsFreelance Data Science Startup JobsFreelance Data Science Startup Jobs in Arizona

Freelance Data Science Startup information

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What is a freelance data science startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What unique challenges do freelance data scientists face when working with startups, and how can they manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What skills and qualifications are needed to thrive as a freelance data science startup founder?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.
What are the most commonly searched types of Data Science Startup jobs in Arizona? The most popular types of Data Science Startup jobs in Arizona are:
What are popular job titles related to Freelance Data Science Startup jobs in Arizona? For Freelance Data Science Startup jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Data Science Startup jobs in Arizona look for? The top searched job categories for Freelance Data Science Startup jobs in Arizona are:
What cities in Arizona are hiring for Freelance Data Science Startup jobs? Cities in Arizona with the most Freelance Data Science Startup job openings:
Freelance Data Science Startup jobs near you

Ocotillo Technology Fabrication Process Integration and Yield Engineer

Intel

Phoenix, AZ • On-site

$103K - $198K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Details:Job Description: 

Job Description

Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

The role of a Process Integration and Yield Engineer is to deliver high quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes.

Responsibilities may include, but are not limited to:

  • Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
  • Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
  • Lead/participate continuous improvement projects on products and processes for improved performance.
  • Provide expertise on process flow segments.
  • Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.

The ideal candidate should exhibit the following behavioral traits:

  • Solid analytical skills and a passion for data analysis and problem solving.
  • Organizational skills with attention to detail.
  • Excellent interpersonal skills with the ability to work with people at all levels.
  • Communication and presentation skills to influence a wide variety of groups at all levels.
  • Demonstrate excellent teamwork and leadership skills, demonstrated problem solving and prioritization skills, and driving high performance maintenance goals for the group.
Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • BSE degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related field of study with 4+ years of experience, or Master's degree with 3+ years of experience or a Ph.D. in the above labeled fields.
  • Depending on the degree level obtained, the mentioned years of experience will be needed in each of the below areas:
    • Knowledge of Semiconductor fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.)
    • Statistical Process Control and Design of experiments (DOE) principles, Statistical Data Analysis (Examples include: JMP/JSL, Python, SQL)

Preferred Qualifications:

  • Programing Experience in JMP/JSL, Python, R and SQL
  • 2+ yrs of New Technology startup experience
  • 5+ years of advanced node Foundry experience in Process/Yield Engineering.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Business group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $103,730.00-198,820.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

View All Intel Jobs

Apply