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Applied Systems

Manager, Data Science

Posted 3 Hours Ago
Be an Early Applicant
Remote or Hybrid
2 Locations
Senior level
Remote or Hybrid
2 Locations
Senior level
Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.
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Job Description
Amazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we're not just redefining what's achievable, we're creating a place where amazing career moments are made possible.
Position Overview
Our Data Products Team is hiring a Manager, Data Science to provide technical leadership and guide a team building impactful data-driven solutions. You will play a key role in shaping our data science strategy, driving innovation, and delivering measurable business value through advanced analytics and machine learning.
What You'll Do
  • Lead a team of data scientists to deliver actionable insights, predictive models, and data-driven solutions that support our business and product goals
  • Provide professional and technical leadership with impactful guidance, coaching, and feedback
  • Empower the team with clear goals and a data-informed approach to ensure excellence
  • Identify opportunities for continuous improvement in data science methodologies, processes, and tools
  • Collaborate with Product Management, Engineering, and other Technology Leaders to define, plan, and prioritize data science initiatives
  • Monitor active projects to manage risk s , escalate blockers, and ensure consistent delivery with high quality
  • Foster a culture of innovation, experimentation, and continuous learning and a knowledge sharing
  • Collaborate with internal teams to ensure alignment on roadmap milestones

We're Excited to Learn More About You
We're looking for someone who:
  • Has the ability to work from an Applied Systems office, 100% remotely; Chicago-area preferred.

Your experience should include some or all of the following:
  • 8+ years of experience delivering high-quality, scalable data science solutions
  • 8+ years of experience in requirements gathering and technical design as well as testing and production deployment of data-driven projects
  • 3+ years managing data science or analytics teams, providing feedback to ensure velocity and quality
  • Proven experience leading applied AI initiatives, including developing production-grade solutions powered by Large Language Models (LLMs) and Generative AI
  • Experience working with modern cloud-based data and AI platforms (e.g., GCP, AWS, Azure), including data engineering, ML model development, and MLOps in cloud environments
  • Ability to provide coaching and guidance on data science best practices, machine learning, data engineering, and cloud-based analytics
  • Technical leadership of advanced analytics or machine learning initiatives
  • Knowledge of the data science lifecycle, including data preparation, modeling, validation, and deployment
  • Ability to recruit, develop, and retain high-performing technical teams
  • Experience with Agile/Scrum practices and tools like Jira and Confluence
  • Bachelor's Degree in Data Science , Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience
    • We proudly support and encourage people with military experience, as well as military spouses, to apply

Location
Candidate will need to reside in North America, working arrangement will be remote.
When You Join Team Applied, You Can Expect:
A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
  • Medical, Dental, and Vision Coverage
  • Holiday and Vacation Time
  • Health & Wellness Days
  • A Bonus Day for Your Birthday

Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/
Our targeted starting base salary in the United States for this position ranges from $115,000 - $175,000. To determine a new team member's starting pay, we consider a variety of factors, including someone's depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.
Your Security Matters:
Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
#LI-Remote

Top Skills

Agile
AWS
Azure
Confluence
Data Science
GCP
Generative Ai
JIRA
Large Language Models
Machine Learning
Ml Ops
Scrum

Applied Systems Montréal, Québec, CAN Office

60 St-Jacques, Suite 500, Montréal, Quebec, Canada, H21 1L5

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