Junior Data Scientist

Lantern Analytics is a pioneering force in the data and analytics landscape, dedicated to transforming complex data into actionable insights for our diverse range of clients. Based in the vibrant tech hub of Toronto, Canada, we pride ourselves on fostering an environment of innovation, collaboration, and continuous learning. Our team is composed of passionate data professionals who are committed to pushing the boundaries of what’s possible with data science. We work with leading companies across various sectors, helping them to optimize operations, understand customer behavior, and drive strategic growth through data-driven decision-making. As we continue to expand our impact, we are seeking a bright and enthusiastic Junior Data Scientist to join our dynamic team and contribute to our mission of delivering excellence in data solutions. This role offers an unparalleled opportunity to grow your skills, work on challenging and meaningful projects, and make a tangible impact in a supportive and forward-thinking environment.

• Collaborate with senior data scientists and engineers to design, develop, and deploy robust data models and algorithms that address complex business challenges.
• Preprocess and clean large, diverse datasets, ensuring data quality and integrity for analysis and model training.
• Conduct exploratory data analysis to identify trends, patterns, and insights that can inform strategic decision-making.
• Develop and maintain data pipelines and automated reports to monitor model performance and key business metrics.
• Present findings and recommendations to internal teams and stakeholders in a clear, concise, and compelling manner.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and apply new techniques where appropriate.
• Participate in code reviews and contribute to the development of best practices in data science methodologies and deployment.
• Assist in the documentation of data processes, models, and analytical tools for internal knowledge sharing and future reference.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 1-2 years of professional experience in a data-centric role, preferably in data analysis or data science.
• Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn) and SQL for data manipulation and analysis.
• Familiarity with machine learning concepts, algorithms (e.g., regression, classification, clustering), and model evaluation techniques.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn.
• Strong analytical and problem-solving skills, with an ability to translate business questions into data-driven solutions.
• Excellent communication skills, both written and verbal, with the ability to articulate technical concepts to non-technical audiences.
• Ability to work effectively in a team-oriented, collaborative environment and manage multiple tasks simultaneously.

• Competitive annual salary ranging from CAD 78,000 to 92,000, commensurate with experience and qualifications.
• Comprehensive health, dental, and vision insurance plans, ensuring robust coverage for you and your family.
• Generous paid time off, including vacation days, sick leave, and company holidays, promoting work-life balance.
• Dedicated budget for professional development, including courses, certifications, and conference attendance.
• Hybrid work model offering flexibility with a blend of in-office collaboration in Toronto and remote work opportunities.
• Opportunities for career advancement within a rapidly growing company, supported by mentorship and internal training programs.
• Access to cutting-edge tools and technologies, fostering continuous learning and innovation in data science.