External Advertising Title Sr. Staff Data Scientist

IVANS Insurance Solutions

USA

Hybrid

USD 179.000 - 200.000

Vollzeit

vor 48 Stunden
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Benefits dieser Stelle

Health insurance
Dental and vision coverage
Wellness incentives
401(k) with employer match
Paid vacation

Zusammenfassung

Applied Systems is seeking a Sr. Staff Data Scientist to contribute to the AI strategy and design scalable data solutions across the organization.

You will lead complex AI design discussions, develop innovative AI enhancements, and guide cross-functional teams on best practices and processes. The role requires 5+ years in data analytics/science with strong ML/DL, LLMs, Generative AI, NLP, CV and Python expertise, including Vertex AI.

Qualifikationen

  • Bachelor's degree in Computer Science or a related field with 5+ years of progressive experience in Data Analytics and Data Science.
  • Technical Environment: Machine Learning, Deep Learning, Large Language Models, Generative AI, NLP, Computer Vision, Python, Vertex AI, AI strategy.
  • Required skills: Machine Learning, Deep Learning, Large Language Models, Generative AI, NLP, Computer Vision, Python, Vertex AI, AI strategy. Telecommuting permitted.

Aufgaben

  • Contribute to the AI technical strategy by anticipating business challenges impacting the technology function.
  • Design and develop AI solutions for scalable, long-term data delivery.
  • Research, design, and deliver AI enhancements to improve efficiency across teams.
  • Identify and resolve high-scope technical problems to increase velocity and quality.
  • Lead AI design discussions aligning with the company direction and external context.
  • Create guides for development processes and best practices across domains.
  • Identify patterns and root causes of current and emerging issues.
  • Drive AI innovation by addressing root causes of large-scale problems across cross-functional teams.
  • Provide guidance on complex issues and align cross-functional teams with new processes or tools when needed.

Kenntnisse

Machine Learning
Deep Learning
Large Language Models
Generative AI
NLP
Computer Vision
Python
Vertex AI
AI strategy

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Vertex AI

Jobbeschreibung

Job Description

Sr. Staff Data Scientist

What You’ll Do
  • Contribute to the AI technical strategy by anticipating business challenges impacting the technology function.
  • Design and develop AI technical solutions to enable delivery of scalable and efficient data solutions over the long-term.
  • Research, design, and deliver AI enhancements to improve efficiency and effectiveness of many teams.
  • Identify and resolve technical problems of the highest scope and complexity to improve the velocity of many teams and overall quality.
  • Identify what will work and what will not work by identifying patterns and/or anti-patterns.
  • Lead complex AI design discussions by applying knowledge of the company's long-term direction and the external context, including new or emerging solutions.
  • Create guides for development processes, including the best way to adapt best practices across domains.
  • Identify patterns and root causes of current and emerging issues.
  • Drive AI innovation with a willingness to identify and address the root causes of large-scale problems to impact outcomes of many cross-functional teams.
  • Provide guidance on complex issues and align cross-functional teams, developing new processes, tools, or ways of working when needed to ensure success.
What You’ll Need to Succeed

We’re looking for someone who:

  • Can work remotely or from an Applied Systems office.
Your experience should include all of the following:
  • Bachelor's degree in Computer Science or a related field plus 5 years of progressive experience with Data Analytics and Data Science required
  • Technical Environment: Machine Learning, Deep Learning, Large Language Models, Generative AI, NLP, Computer Vision, Python, Vertex AI, AI strategy.
  • Required skills: Machine Learning, Deep Learning, Large Language Models, Generative AI, NLP, Computer Vision, Python, Vertex AI, AI strategy. Telecommuting Permitted.
What You’ll Gain

Benefits from Day One

  • Health insurance plans, dental, and vision
  • Wellness incentives
  • 401(k) and/or RRSP retirement savings plans with employer match

Work-Life Balance

  • Competitive paid vacation time and a free day for your birthday
  • Personal/sick time
  • Paid holidays
  • Flex Time
  • Paid parental leave (U.S. candidates)
  • Volunteer time off

Empowering Career Growth and Success – We invest in talent, care about our people and are empowered by the results of our work. We grow our teams from within and give our employees opportunities to advance.

$179,000/yr.-$200,000/yr.

What We Value

We strive for excellence at every turn to be the best at what we do. We invest in talent, care about our people and are empowered by the results of our work. We fulfil the promise of insurance – safeguarding and protecting what matters most in people’s lives. And there is no more important job than that.

Our focus on the workforce, workplace and marketplace gives us a qualified individual in an environment in which they can be productive while we maintain our position in the industry. To help drive that change toward a vibrant, modern workplace, we have employee-driven networks with commonalities in ethnicity, gender, sexual orientation and military status.

Who We Are

For 40 years, Applied Systems has created innovative technology for the global insurance industry. Today, we are a rapidly growing software leader that is revolutionizing the way agencies and brokerages succeed.

We are smart and curious people in a tech-first environment that champions bold and powerful thinking. We are transforming a complex industry through digitization, automation, and innovative new partnerships. Together we are driving the industry fearlessly forward.

It’s an exciting time at Applied. You can do big things here, in an environment that supports creative thinking and bold ideas. Visit http://www.AppliedSystems.com for more information on how you can challenge what’s possible.

EEO Statement

Applied Systems is proud to be an Equal Employment Opportunity and Affi…

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