Senior Software Engineer I

Who we are

Jellyvision ALEX®, is on a mission to improve lives by helping people choose and use their benefits. We are raising the bar—for benefits and the employee experience (for our employees and those of the customers we serve) – by scaling personalization, compassion and an earnest intent to be helpful in all that we do. 

Jellyvision people are a group of creative problem solvers who use good judgment, give each other honest feedback, engage in real debate, and snack frequently. We are curious, hungry, and humble—because we know this is how we’ll continue to make an impact. We’re kind, biased towards action, and sweat the details to create great experiences for those we serve.  

We are an inclusive, human-first workplace. Respect and trust for each other are foundational, and our equitable total rewards offerings support the lives and holistic well-being of our unique people. At Jellyvision, expect career experiences that challenge you, empower you to have a direct impact on our mission, and enable you to learn, try, and do while having fun along the way.  

What’s the role?

We are seeking a talented and experienced Senior Engineer to join our team. As a Senior Engineer, you will be responsible for developing and implementing data-driven solutions that leverage advanced analytics and machine learning techniques, with an emphasis on creating, running, and maintaining data models. You will collaborate closely with product, software engineers, and business stakeholders to design, build, and deploy scalable and robust data science models and applications. Your work will play a crucial role in driving ALEX’s recommendation engine forward. 

What you’ll do to be successful 

1.) Build and Maintain Data Models

• Design and develop data science models and algorithms that solve benefit related healthcare problems and deliver actionable insights.
• Implement end-to-end data science solutions, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment.
• Collaborate with engineering to ensure the availability, quality, and reliability of data for analysis and modeling.
• Develop and deploy scalable machine learning models and algorithms that can handle large-scale datasets.
• Optimize and fine-tune models for performance, accuracy, and scalability.
• KPIs: Data Models quality, availability and performance

2.) Engineer Data Products

• Collaborate with engineering to ensure the availability, quality, and reliability of data for analysis and modeling.
• Conduct exploratory data analysis to gain insights and identify patterns, trends, and anomalies in the data.
• Collaborate with software engineers to integrate data science models and algorithms into production systems and applications.
• Stay up to date with the latest advancements in data science, machine learning, and artificial intelligence and apply them to solve business challenges.
• KPIs: Product integration, Data Expansion and use across JV

Experience & skills you’ll need

• 5+ years of experience developing full-stack web applications
• Proficiency coding in Ruby on Rails and/or Python
• Prior exposure to modern front-end frameworks like React, Vue, or AngularJS
• Understanding of relational databases (experience writing raw SQL is a bonus)
• Proven experience as a Data Science Engineer or in a similar role, with a focus on developing and deploying data science models and applications
• Strong programming skills in languages such as Python or R, with experience in data manipulation, statistical analysis, and machine learning
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
• Strong knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing
• Excellent problem-solving and analytical abilities, with the ability to always be curious 
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and present complex concepts to non-technical stakeholders
• Preferred, but not required - Bachelor's or master's degree in computer science, data science, statistics, or a related field

Core competencies

• Action Oriented
• Instills Trust
• Manages Ambiguity
• Collaborates
• Communicates Effectively
• Resourcefulness

The Details 

• Location: Remote 
• Starting Salary: $124,244 - $151,854

What Jellyvision will give you

Check out our benefits here!

Jellyvision is committed to continuous evolution and to fostering a more diverse and inclusive workplace where everyone is welcomed, valued, and respected. It doesn’t matter your race, ethnicity, religion, sexual orientation, age, marital status, disability, gender identity, sex, or country of origin...we just want amazing people who are willing to grow along with us.