Principal Data/Solution Architect

Quiddity Infotech LLC; Pleasanton (CA); On-site; USD 150,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a data science leader, where your expertise in machine learning and data engineering will drive innovative solutions. With a focus on complex project delivery, you'll leverage big data technologies and cloud platforms to create impactful results. This role offers an exciting opportunity to lead a talented team, enhance your leadership skills, and shape the future of data-driven decision-making. If you're passionate about data science and ready to make a significant impact, this position is perfect for you.

Benefits

401(k)

Qualifications

• 10+ years in data science focusing on solution architecture.
• Expertise in machine learning, data engineering, and programming.

Responsibilities

• Lead and deliver complex data science projects successfully.
• Utilize big data technologies and cloud platforms for solutions.

Skills

Machine Learning

Statistical Modeling

Data Engineering

Data Visualization

Python

R

Scala

Problem-Solving

Critical Thinking

Leadership

Education

Ph.D. in Computer Science

Master's in Data Science

Tools

AWS

Azure

GCP

Data Bricks

Domino Data

Palantir

Job description

Be among the first 25 applicants

Quiddity Infotech LLC provided pay range

This range is provided by Quiddity Infotech LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $180,000.00/yr

Job Responsibilities

• Advanced degree (Ph.D. or Master's) in Computer Science, Data Science, or a related field.
• Proven experience (minimum of 10 years) in data science, with a focus on solution architecture and leadership.
• Expertise in machine learning, statistical modeling, data engineering, data modeling and data visualization.
• Strong programming skills in languages such as Python, R, or Scala.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Experience with AI/ML and cloud platforms (e.g., Data Bricks, Domino Data, Palantir AWS, Azure, GCP).
• Excellent leadership, communication, and stakeholder management skills.
• Demonstrated success in leading and delivering complex data science projects.
• Strong problem-solving and critical-thinking abilities.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Business Development

Industries

IT Services and IT Consulting

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Benefits

401(k)