Full-Stack Developer
Role details
Job location
Tech stack
Job description
Are you passionate about turning data into actionable insights? Do you thrive on creating innovative solutions that drive business success? M3 Insurance is seeking a talented Full-Stack Developer to join our Applied Intelligence team and help shape the future of data-driven decision-making in the insurance industry.
As our Analytics Developer, you'll be at the forefront of designing, developing, and implementing cutting-edge data solutions. You'll leverage your expertise in analytics, AI, and machine learning to create powerful applications and dashboards that deliver real-world value to our employees, clients, and partners.
This role is perfect for a tech-savvy problem solver who's excited about working with diverse datasets, building scalable solutions, and pushing the boundaries of what's possible with data analytics in the insurance sector.
How You Will Make an Impact
- Design and develop responsive web-based data applications and interactive dashboards using JavaScript, Python, HTML, and SQL.
- Implement AI and machine learning models to drive process improvements and uncover advanced insights.
- Create and maintain APIs to streamline data integration and ensure data accuracy across platforms.
- Collaborate with internal teams and external clients to design tailored data solutions that meet evolving business needs.
- Identify and implement process improvements through automation (e.g., RPA) to enhance efficiency.
- Stay at the cutting edge of data analytics technology, continuously improving our development processes and capabilities.
- Contribute to the organization's data strategy, ensuring alignment between data products and long-term business goals., Joining the M3 team means gaining access to a host of exceptional benefits and perks. Our benefits package is continuously evolving to cater to the needs of our team members. From flexible time-off and paid parental leave to employee appreciation events and volunteering opportunities, we prioritize the well-being and satisfaction of our employees. Additionally, our profit-sharing program ensures that every member of our team shares in the success of our organization. These enticing benefits showcase our commitment to nurturing and retaining top talent within our organization.
Diversity, Equity & Inclusion
M3 is building a culture focused on learning and progression, where M3ers are empowered by education, inclusive conversations, and real action that supports the future we envision.
Equal Employment Opportunity
M3 is committed to providing equal employment opportunity for all qualified individuals regardless of their age, sex, color, race, creed, national origin or ancestry, religion, marital status, military status, sexual orientation, disability/handicap, family responsibilities, non-relevant arrest or conviction records, or any other basis protected by law. In addition, we are committed to fully observing all relevant non-discrimination laws, including those regarding veterans' status, and will make reasonable accommodations for otherwise qualified individuals as appropriate.
This commitment is reflected in all M3's practices and policies regarding hiring, training, promotions, transfers, rates of pay, and layoff, as well as in all forms of compensation, granting leaves of absence and in any other conditions of employment. All matters relating to employment are based upon ability to perform the job.
In the best interests of M3 and all of its employees, every employee is to make every effort to avoid bias or prejudice in the workplace with regard to the above categories.
Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 1-5 years of experience in full-stack development or a similar role.
- Proficiency in JavaScript, HTML, CSS, Python, and SQL, with experience in frameworks like React, Angular, or Vue.js.
- Strong background in data manipulation and analysis using Python libraries (Pandas, Numpy, Matplotlib).
- Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) and cloud-based data warehousing (e.g., Snowflake).
- Familiarity with cloud computing platforms (AWS, Azure) and version control systems (Git).
- Experience with API development and consumption.
- Knowledge of Generative AI development is a plus.
- AWS certifications (e.g., Cloud Practitioner, Solutions Architect) are highly desirable.
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Retirement plan
- Profit sharing