Data Scientist

About The Company
Lantern is a leading technology solutions provider committed to delivering innovative and high-quality services to our clients. As a proud Microsoft services partner, we emphasize technical excellence, integrity, and a client-centric approach. Our company culture is built on trust, respect, inclusion, and a shared passion for growth and innovation. We foster an environment where collaboration, continuous learning, and mentorship are at the core of our operations.

Our dedication extends beyond business success to making a positive impact on society, ensuring that our solutions and initiatives contribute meaningfully to the communities we serve. At Lantern, we believe that investing in our people and cultivating a dynamic workplace environment is key to achieving extraordinary results and sustaining our reputation as a trusted partner in the technology landscape.

About The Role
We are seeking a talented and motivated Data Scientist to join our dynamic team. In this role, you will be instrumental in helping our clients envision, design, develop, and deploy machine learning solutions leveraging Microsoft Azure technologies. You will work across multiple projects and phases of the solution lifecycle, including solution design, development, deployment, and maintenance.

This position offers an excellent opportunity to collaborate with cross-functional teams, engage with business stakeholders to understand their needs, and translate those requirements into effective AI solutions. Your expertise will contribute to solving complex business problems through innovative data science techniques, ensuring scalable and efficient machine learning models. The ideal candidate will be passionate about data, possess strong technical skills, and thrive in a collaborative, fast-paced environment.

Qualifications

• Bachelor's degree in computer science, data science, or a related field
• Experience in the full machine learning lifecycle – understanding, developing, deploying, and maintaining data science solutions
• Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks
• Strong programming skills in Python or PySpark
• Solid understanding of supervised and unsupervised learning algorithms and concepts
• Experience with data preparation, feature engineering, and data engineering practices
• Experience in the optimization and tuning of machine learning models for large datasets
• Excellent verbal and written communication skills
• Strong presentation and whiteboarding skills
• Ability to communicate complex technical concepts to non-technical audiences
• Experience collaborating with business stakeholders to gather requirements and design AI solutions
• Certifications such as AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist certifications are a plus
• Experience with GitHub or Azure DevOps
• Prior consulting or business development experience is desirable

Responsibilities

• Lead the end-to-end development of machine learning models, from data collection and preprocessing to deployment and monitoring
• Design and implement scalable AI solutions using Microsoft Azure services, including Azure Machine Learning, Azure Databricks, and other relevant tools
• Collaborate with stakeholders to understand business needs and translate them into technical solutions
• Perform data analysis, feature engineering, and data visualization to derive insights and improve model performance
• Optimize and tune machine learning models to handle large volumes of data efficiently
• Document project workflows, model architectures, and deployment procedures for knowledge sharing and reproducibility
• Communicate technical concepts and project updates effectively to both technical and non-technical audiences
• Stay updated on the latest trends and advancements in AI and machine learning to continuously improve solutions
• Support the integration of AI solutions into existing client systems and workflows

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health insurance plans including medical, dental, and vision coverage
• Flexible working hours and remote work options
• Opportunities for professional development and continuous learning
• Participation in industry certifications and training programs
• Collaborative and inclusive work environment
• Generous paid time off and holiday leave
• Supportive work-life balance initiatives

Equal Opportunity

Lantern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other protected status under applicable law. We believe that diverse teams foster innovation and drive better results, and we are dedicated to providing equal employment opportunities to all qualified candidates.