Volt is immediately hiring for a Data Scientist position to work with their client in Cupertino, CA. This role requires expertise in delivering high-quality analytical insights from large data warehouses, particularly time series data. As a Data Scientist, you'll implement Deep Learning algorithms in time series data and computer vision, work in cloud-native environments like AWS, and collaborate with data scientists and analysts to develop data products. The ideal candidate will have at least 2 years' experience as a data scientist or machine learning engineer, proficiency in Python and its ecosystem, and familiarity with big data and machine learning algorithms.

In this hybrid role (3 days onsite, 2 days remote), you can expect a pay range of $55 to $62/hour, along with standard benefits such as health, dental, and vision insurance. If you're interested in joining Volt, this guide by Interview Query will walk you through the interview process, common questions, and tips to help you succeed.

Submitting Your Application

Begin your journey to join Volt as a Data Scientist by submitting an application that accurately reflects your technical skills and enthusiasm for the position. Whether you have been approached by a Volt recruiter or have independently taken the initiative, it is crucial to thoroughly review the job description and tailor your CV to meet the outlined qualifications.

Tailoring your CV may involve using specific keywords that the hiring manager might filter for and crafting a customized cover letter. Be sure to highlight relevant skills and illustrate your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV stands out, a recruiter from Volt's Talent Acquisition Team will reach out to verify essential details, including your previous experiences and skill levels. This initial screening might also involve some behavioral questions.

In some instances, the Volt data scientist hiring manager may join the call to address any questions you have about the role and provide insights into the company's culture. You might encounter preliminary technical and behavioral discussions as well.

This recruiter call typically lasts about 30 minutes.

Technical Virtual Interview

Passing the recruiter round will earn you an invitation to the technical screening phase. The technical screening for the Volt Data Scientist role is usually conducted virtually, involving video conferences and screen sharing sessions. This 1-hour interview may cover questions about Volt's data systems, ETL pipelines, and SQL queries.

For data scientist roles, take-home assignments focusing on time series data analysis, deep learning algorithms, and data visualization might be included. Additionally, your proficiency in hypothesis testing, probability distributions, and machine learning fundamentals will be evaluated.

Depending on the role’s seniority, you might also face case studies or other real-world scenario problems.

Onsite Interview Rounds

Following a second recruiter call outlining the next steps, you'll be invited to the onsite interview loop. Multiple interview rounds will be conducted at Volt's Cupertino, CA office, varying based on the role. These rounds will assess your technical expertise, including programming and machine learning modeling skills.

If you were assigned take-home exercises, you might also need to present your findings during the onsite interview.

Quick Tips For Volt Data Scientist Interviews

• Plan to refresh your technical skills and practice as many mock interview questions and scenarios as you can. A few tips for succeeding in your Volt Data Scientist interview include:

• Highlight your Experience in Cloud Environments: Volt values candidates who are familiar with AWS and can handle cloud-native environments. Make sure to emphasize your experience in these areas during your interview.

• Demonstrate Problem Solving Abilities: Volt is keen on candidates who have demonstrated abilities in problem formulation, algorithm design, and model building. Discuss past projects where you successfully tackled complex problems.

• Showcase Your Collaborative Skills: Volt places importance on collaborative work to drive the development of data products. Be prepared to discuss your experience working in teams and how you contribute to collective success.

Typically, interviews at Volt vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

• Will increasing the number of trees in a random forest model always improve accuracy? If you sequentially increase the number of trees in a random forest model, will the model's accuracy continue to improve indefinitely?

Are you excited about pushing the boundaries of data science? At Volt, we offer a thrilling opportunity in Cupertino, CA, where you can enhance your skills in implementing deep learning algorithms, working with large-scale time series data, and collaborating on groundbreaking data products. Whether you're automating reports or comparing predictive values, you’ll find yourself at the forefront of innovation in a supportive and inclusive environment. Ready to take the next step in your career as a Data Scientist? Learn more about the role and prepare for your interview with our comprehensive guide to Volt on Interview Query, where you’ll gain valuable insights and tips. Good luck with your interview!