This is Data Science at Lattice

As a Manager – Data Science, Product Analytics, you will be responsible for leading data scientists who partner deeply with our Engineering, Product, and Design teams to accelerate data-driven product development. Your role will be centralized across many products in the Lattice platform and you will have a unique opportunity to make a large impact on the influence of data on a quickly growing customer base and the broad suite of products that Lattice offer. In addition to partnering with Engineering, Product, and Design leadership on strategic initiatives, you will also manage full-stack data scientists across a variety of projects and problems ranging from data modeling in dbt to reporting in Looker and analysis in python or R.

What You Will Do

• Guide business impact of data scientists partnered with our product team, advising on topics such as metric creation, feature success analysis, and roadmap prioritization

• Regularly communicate out insights, commentary, and recommendations about the state of our products in light of our product strategy  

• Support the personal development of data scientists by advising on technical analysis including machine learning techniques and experimentation 

• Create and contribute to team-wide processes and documentation

• Manage sprint planning and workload distribution across data scientists as they prioritize work across the platform 

• Guide technological decisions in collaboration with our analytics engineers and other key stakeholders

• Roadmap Data’s bi-annual plan, managing expectations and inputs from across the engineering, product, and design organization

What You Will Bring to the Table

• Have hired, trained and supervised individuals in a data or analytics function 

• 5+ years experience working in Data Science or Analytics

• Proven ability to deliver data, recommendations, and insights that have a material impact on product development, strategy, or other key business areas in a B2B Saas environment

• A track record of collaboration with stakeholders 

• Deep expertise in a facet of data science including but not limited to machine learning, experimentation, or data analysis 

• History of guiding teams to successfully complete projects on time and within scope 

• Sharp SQL skills 

• Hand-on experience with either R or Python

• Familiarity with a BI tool such as Looker

Even if you don’t meet each of the components of experience we’ve listed here, we don’t want that to get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.