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Sr Data Scientist

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Job Description

Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a Senior Data Scientist to join our team. In this role, the successful candidate will be responsible for building enterprise-scale, cloud-native, AI systems that leverage state-of-the-art data science practices.

The Sr Data Scientist will work collaboratively with peers to design AI/ML models, algorithms, and experiments that will drive business value. The ideal candidate will have a deep understanding of the current AI landscape. This will include demonstrated experience leveraging and fine-tuning Large Language Models, developing solutions using NLP and other Deep Learning techniques, as well as contributing toward building an End-to-End machine learning life cycle.

What You'll Do
  • Develop and implement data science strategies and projects to drive business growth and optimization
  • Participate in the design, development, and deployment of cloud-native data solutions that enable efficient and scalable AI/ML solutions
  • Lead specific initiatives within the team to identify, prioritize, and address critical needs, challenges, and opportunities
  • Assist with model research and options analysis to prepare a solution recommendation balancing tradeoffs as well as short term versus long goals
  • Provide comprehensive feedback in design reviews, code reviews, and data analysis
  • Contribute to the end-to-end data science process from data acquisition to model training and testing to deployment
  • Ensure the quality and accuracy of data models by applying machine learning best practice, conducting thorough testing, and continuously monitoring performance to correct any inaccuracies

What You'll Need to Succeed

Your experience should include some or all of the following:
  • 5+ years of experience in data science roles of increasing complexity
  • Experience in developing and deploying scalable machine learning models using Python or other related programming languages
  • Experience optimizing Natural Language Processing and/or Computer Vision models for specialized tasks
  • Experience with deep learning frameworks such as Tensorflow, Keras, or PyTorch
  • Demonstrated experience supporting all phases of an AI/ML model's lifecycle
  • Demonstrated experience in cloud-native technologies, including cloud computing, distributed computing, data warehousing, and big data processing
  • Proven track record of effectively collaborating with cross-functional teams to deliver high-quality data solutions
  • Excellent communication skills, including the ability to communicate complex technical concepts to both technical and non-technical stakeholders
  • Demonstrated ability to work independently, with minimal guidance, and balance multiple projects simultaneously
  • Strong problem-solving skills and ability to think creatively to derive effective solutions to complex data challenges
  • Degree in computer science, statistics, data science, or a related field
    • We proudly support and encourage people with military experience, as well as military spouses, to apply

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.

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

Applied Systems is the leading global provider of cloud-based software that powers the business of insurance. Recognized as a pioneer in insurance automation and the innovation leader, Applied is the world's largest agency and brokerage management systems provider, serving customers throughout the United States, Canada, the Republic of Ireland, and the United Kingdom. By automating the insurance lifecycle, Applied's people and products enable millions of people worldwide to safeguard and protect what matters most.

For 40 years, Applied Systems has led an industry we helped to create with a mission to continuously improve the business of insurance. From partnerships, acquisitions, and insurance innovation initiatives, Applied has focused on efforts to be the indispensable partner in our industry.

It's an exciting time at Applied. You can do big things here, in an environment that supports creative thinking and bold ideas. Visit ;/strong> for more information on how you can challenge what's possible.

EEO Statement

Applied Systems is proud to be an Equal Employment Opportunity and Affirmative Action 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.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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