Principal Data Scientist

Marvell Semiconductor, Inc.; California, Santa Clara (MO, CA); On-site; USD 133,000 - 200,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist, where your expertise in machine learning and data analysis will drive innovative solutions. You will lead high-impact projects, collaborating with cross-functional teams to optimize business processes and enhance product quality. This role offers the opportunity to work with cutting-edge technologies and methodologies, making a significant impact on the organization. If you're passionate about leveraging data for business advantage and thrive in a dynamic environment, this is the perfect opportunity for you.

Benefits

Flexible Time Off

401k

Year-End Shutdown

Floating Holidays

Paid Volunteer Time

Equity

Health Benefits

Financial Wellbeing Benefits

Qualifications

• 8+ years of experience in end-to-end data and machine learning solutions.
• Deep understanding of data governance and best practices in data management.

Responsibilities

• Lead the development and deployment of predictive models to optimize business processes.
• Collaborate with teams to design, develop, and deploy advanced machine learning algorithms.

Skills

Machine Learning Algorithms

Statistical Modeling

Data Analysis

Data Governance

Communication Skills

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Python

MLflow

PL/SQL

GitHub

Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can influence individual lives, advance entire industries, and contribute to transformative innovations. For those seeking to make a meaningful impact through enduring innovation, Marvell offers a place to thrive, learn, and lead.

Your Team, Your Impact

The Marvell Data Science and Engineering Team leads initiatives in Data Science, Strategy, and Architecture. As a high-visibility team, we deliver critical data science solutions to operations and leadership, enabling data-driven decision-making at the highest levels.

This team manages global, high-impact projects that add significant value across the organization. Using cutting-edge data science technologies and methodologies, we help Marvell maintain its leadership in leveraging data for business advantage. The Principal Data Scientist will play a key role in designing, developing, and managing projects that support the company's data science and machine learning initiatives.

What You Can Expect

• Hands-on development, production, and operation of Machine Learning models and pipelines at scale.
• Lead the development and deployment of predictive models to optimize business processes and enhance product quality.
• Collaborate with business teams, data scientists, and data architects to design, develop, and deploy advanced machine learning algorithms.
• Apply techniques such as supervised and unsupervised learning, and optimization methods to solve complex business problems in IT, supply chain, and design engineering.
• Perform statistical analyses to validate models and ensure their accuracy and reliability.
• Clean and preprocess data from various sources, ensuring data quality and integrity for model development.
• Work closely with cross-functional teams to understand business needs and translate them into machine learning solutions.

What We're Looking For

• Extensive experience with machine learning algorithms, statistical modeling, and data analysis.
• Deep understanding of data governance and best practices in data management, with proficiency in tools such as Python, MLflow, PL/SQL, and Github.
• Ability to collaborate with data scientists, data architects, and business intelligence teams to develop data solutions that meet organizational needs.
• Excellent communication skills, with experience presenting to both technical and non-technical audiences.
• Experience in the semiconductor industry or Big Tech is a plus.
• Experience building AIML and AI solutions.
• Bachelor's Degree in Computer Science or related field with 8+ years of experience in end-to-end data and machine learning solutions; Master's Degree preferred.

Compensation and Benefits

Expected Base Pay Range (USD): $133,500 - $200,000 per annum. The final starting salary will depend on skills, experience, qualifications, location, and market conditions.

Additional Compensation and Benefits: We offer a comprehensive package including base salary, bonus, equity, health and financial wellbeing benefits, flexible time off, 401k, year-end shutdown, floating holidays, and paid volunteer time. Please discuss benefits questions with your recruiter during the interview.

All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.

Applicants requiring accommodations during the process should contact Marvell HR at [e-mail].