Mill is seeking a Tech Lead Manager to leverage its extensive IoT data and AI capabilities to address food waste, aiming to save time, money, energy, and contribute to a better environment. The role will translate strategic goals into practical data solutions to drive tangible value for customers and the planet.
Requirements
- A track record of data mining and data analysis, using data to solve business challenges at enterprise scale.
- Strong knowledge of SQL and experience with relational and NoSQL databases.
- Hands-on experience with large-scale data platforms such as SnowFlake, Redshift, BigQuery, or ClickHouse.
- Experience designing and building reports and custom visualization dashboards (e.g. Power BI, Tableau, Qlik, Plotly).
- Proven track record of delivering AI/ML solutions from prototype to production.
- Familiarity with AWS or other cloud providers, including ML/AI services like SageMaker or Bedrock.
- Python data science stack (Pandas/Dask/Numpy/Matplotlib/Seaborn/Jupyter/Visual Code)
Responsibilities
- Provide technical leadership and architectural guidance across data engineering, algorithms, and AI projects.
- Analyze Mill's rich IoT data to identify trends, insights, and product opportunities.
- Drive the development of data pipelines, predictive models, and business intelligence tools that empower our business customers.
- Establish standards for code quality, testing, and data governance.
- Champion a data-driven culture by establishing robust metrics and evaluation frameworks to guide model selection and ensure rigorous testing.
- Lead the development and maintenance of our internal data visualization infrastructure, while collaborating with application teams to design customer-facing dashboards.
Other
- 7+ years of combined experience in software engineering, data science, machine learning, or data engineering, with at least 2 years in a lead or manager role guiding technical teams.
- Master’s, PhD, or equivalent experience in a quantitative field (e.g. Statistics, Computer Science, Data Science, Mathematics, Economics )
- Strong communication skills and ability to influence stakeholders at all levels.
- Passion for sustainability and tackling real-world environmental challenges.
- The estimated base salary range for this position is $220k to $250k, which does not include the value of benefits or a potential equity grant.
