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Home›Jobs›AvePoint›Principal Data Scientist - Machine Learning
AvePoint

About AvePoint

Empowering organizations to manage Microsoft 365 data securely

🏢 Tech👥 1K-5K📅 Founded 2001📍 Jersey City, New Jersey, United States

Key Highlights

  • Over 16,000 customers including the UN and U.S. Department of Defense
  • Headquartered in Jersey City, New Jersey
  • Raised over $200 million in funding
  • Approximately 1,300 employees worldwide

AvePoint is the largest independent software vendor of SaaS solutions for Microsoft 365, specializing in data migration, management, and protection. Headquartered in Jersey City, New Jersey, AvePoint serves over 16,000 customers globally, including organizations like the United Nations and the U.S. ...

🎁 Benefits

AvePoint offers competitive salaries, equity options, generous PTO policies, remote work flexibility, and a comprehensive health benefits package....

🌟 Culture

AvePoint fosters a culture of innovation and collaboration, emphasizing a strong commitment to customer success and employee well-being. The company v...

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AvePoint

Principal Data Scientist - Machine Learning

AvePoint • Richmond, Virginia, United States

Posted 6d agoPrincipalData scientist📍 Richmond
Apply Now →

Skills & Technologies

Machine learningData pipelinesPython

Overview

AvePoint is seeking a Principal Data Scientist specializing in Machine Learning to develop and deploy advanced models that solve real-world business challenges. You'll work with data pipelines and extract actionable insights to shape intelligent solutions. This role requires strong analytical skills and experience in machine learning.

Job Description

Who you are

You have a strong background in data science with a focus on machine learning — your experience includes designing, building, and deploying machine learning models that leverage both structured and unstructured data. You understand the intricacies of data pipelines and are skilled at optimizing them for production-grade scalability. Your analytical mindset allows you to extract actionable insights from complex datasets, driving impactful business decisions.

You thrive in collaborative environments and enjoy working cross-functionally with engineers and researchers — your ability to communicate complex technical concepts to non-technical stakeholders sets you apart. You are passionate about leveraging data to solve real-world challenges and are always looking for innovative ways to enhance data-driven solutions. You have a proactive approach to problem-solving and are comfortable navigating ambiguity in fast-paced settings.

Desirable

Experience with cloud platforms such as AWS or Azure is a plus — familiarity with tools like TensorFlow or PyTorch will enhance your ability to contribute to our machine learning initiatives. A background in data security and governance can also be beneficial, given AvePoint's focus on data resilience and collaboration.

What you'll do

In this role, you will be responsible for developing and deploying advanced machine learning models that address various business challenges — your work will directly impact how AvePoint optimizes its data solutions for clients. You will shape and engineer data pipelines to ensure optimal model performance, collaborating closely with cross-functional teams to integrate these models into existing systems.

You will analyze large datasets to extract insights that inform strategic decisions, helping to drive the future of intelligent solutions at AvePoint. Your role will involve continuous improvement of machine learning processes, ensuring that models are scalable and efficient. You will also mentor junior data scientists, sharing your expertise and fostering a culture of learning within the team.

What we offer

At AvePoint, we are committed to investing in our people and fostering a culture of agility and teamwork — you will have the opportunity to craft your career and make a significant impact within the organization. We offer competitive benefits, including medical, dental, and vision coverage, a 401(k) plan with matching contributions, and unlimited PTO. We encourage open discussions about compensation and welcome applicants to apply even if their expectations fall outside the typical range. Join us in shaping the future of data security and governance.

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