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Data Science Engineering Lead Manager
2 months ago
We are seeking a highly skilled and experienced Data Science Engineering Lead Manager to join our Machine Learning and Optimization organization. As a critical member of our team, you will be responsible for leading the research, development, and production of our ML and data science algorithms and usage of our data pipelines.
Key Responsibilities- Technical Leadership: You will chart a technical path for products, systems, and architectures, and lead from the front to guide others.
- People Leadership: You will work with and lead a team of data scientists and machine learning engineers, demonstrating mentorship skills and setting a technical vision to challenge your team.
- Handler of Broad Scope: You will thrive in environments where multiple projects and initiatives are under your ownership, and self-manage your own and your team's time to achieve the highest impact on the organization.
- Driver of Outcomes: You will establish a vision or hypothesis, set a direction, and guide your team through execution, using data to inform pivots or to validate assumptions.
- End-to-End Owner: You will take great pride in the products your team owns and delivers, and take full responsibility for their quality, health, and outcomes.
- Organizational Coordinator: You will be the first point of contact for your team, your products, and your delivery plan, fostering a collaborative approach to delivery and leveraging relationships to unblock dependencies.
- Bachelor's degree or higher in Mathematics, Computer Science, Engineering, or equivalent.
- Demonstrated leadership and management of 3-10 person teams.
- A passion for cutting-edge technologies, leading teams, and nurturing talent development among your team(s).
- Extensive experience in visualization and explanatory articulation of data science approaches, test and production results.
- Experience with ML and data science platforms and technologies.
- Experience with building and managing ML data pipeline to support data science and machine learning initiatives.
- Experience with data preparation and cleaning as well as data enrichment.
- Knowledge of big data stack including Kafka, Hadoop, Spark, Scala, and Airflow, as well as data warehouse technologies such as Vertica.
- Knowledge of BI tools like Looker and/or Redash will be very helpful.
- Experience with Docker and Kubernates is a plus.
- Comprehensive health, dental, and vision plans at no cost to you.
- Time off and flexible work schedules.
- Retirement plan with a 5% company match.
- Stock options and equity packages.
- Generous parental leave.
- Monthly wellness stipend plus fitness discounts and quarterly wellness group activities.
- Community engagement opportunities and donation-matching program.
- Annual virtual company retreats and regular community-led team events.
- One day off per year to volunteer.
- A workplace that supports a diverse, equitable, and inclusive environment.
