miovision - Data Scientist I

• Data Wrangling: Assist in preparing, transforming, and deeply analyzing complex data from real-world sources, including global locations and vehicles. • Pipeline Paving: Contribute to building, validating, and maintaining customer-facing machine learning models and robust data pipelines under the mentorship of senior team members. • Agile Execution: Help break down complex, overarching project requirements into small, actionable, and deliverable slices. • Code Craftsmanship: Write impeccably clean, well-documented, and highly reproducible code while following software engineering best practices. • Quality Control: Champion proactive efforts to improve data quality, integrity, and completeness across the entire organization. • Pattern Recognition: Deep-dive into massive datasets to identify hidden patterns, spot anomalies, and uncover fresh opportunities for impactful analysis. • Clear Communication: Translate complex, technical findings into clear, actionable insights for your immediate team, cross-functional partners, and relevant stakeholders. • Continuous Growth: Actively seek feedback, learn Miovision’s data stores inside and out, and enthusiastically develop both your data science skills and your traffic engineering domain knowledge. • The Ideal Profile: • The Rising Star: You bring experience (which can include co-ops, internships, or heavy academic projects) in data analysis, statistical modeling, or machine learning/AI. (Bonus points for a Master’s or Ph.D. in a highly quantitative STEM field!) • The Python & Git Pro: You have a strong working knowledge of Python programming—writing clean, readable, well-structured code—and are entirely comfortable using Git for version control. • The Data Manipulator: You are highly familiar with SQL for pulling, manipulating, and analyzing data. Any extra exposure to Snowflake, AWS cloud platforms, or GIS data analysis puts you at the front of the pack. • The Analytical Thinker: You possess a rock-solid foundation in statistics, algorithms, and core data science concepts, paired with a relentless eagerness to explore new datasets and pinpoint critical insights. • The Visual Storyteller: You have hands-on exposure to data visualization tools (like Streamlit, Sigma, or Dash) and possess the strong written and verbal communication skills needed to confidently present your findings. • The Curious Collaborator: You are a self-motivated, inquisitive thinker who thrives in a fast-paced, dynamic environment and is genuinely excited to collaborate with a diverse team of engineers, PMs, and sales professionals.