Staff Data Scientist - Infrastructure
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We are seeking a Staff Data Scientist for Pinterest’s Infrastructure Data Science and Engineering (IDSE) team. In order to deliver our product experiences to Pinners around the world, Pinterest invests heavily in our infrastructure systems (i.e. storing Pins, training ranking models, serving ad impressions, etc.) - and as a result, it’s a topline company priority for us to manage our infrastructure spend and usage efficiently. The IDSE team provides actionable insights on Pinterest’s infrastructure data - which enables us to reduce our costs, become more efficient, lower our carbon footprint, and grow sustainably as a company.
What you’ll do:
Quantify: what does winning look like? How do we think about balancing infrastructure spend and business/product growth?
Measure: are we on track? What dashboards, forecast models, analyses do we need to understand: are we on track to hit our infrastructure goals? Why or why not?
Analyze: how do we win? What analyses can we perform to uncover opportunities to improve our strategy?
Lead and up-level the team. As the most senior data scientist on the team, you will help define the strategic roadmap and priorities for the team, guide the team in execution, and up-level the data rigor and culture of the organization.
Collaborate closely with partners in Engineering, Finance, and Technical Program Management (TPM) teams across the company.
What we’re looking for:
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
Proven ability to apply scientific methods to solve real-world problems on web-scale data.
Expertise in at least one scripting language (ideally Python/R).
Proficiency in SQL/Hive.
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams .
Experience leading key technical projects and substantially influencing the scope and output of others.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-NM4
#LI-REMOTE
About the job
Staff Data Scientist - Infrastructure
To see similar active jobs please follow this link: Remote Development jobs
We are seeking a Staff Data Scientist for Pinterest’s Infrastructure Data Science and Engineering (IDSE) team. In order to deliver our product experiences to Pinners around the world, Pinterest invests heavily in our infrastructure systems (i.e. storing Pins, training ranking models, serving ad impressions, etc.) - and as a result, it’s a topline company priority for us to manage our infrastructure spend and usage efficiently. The IDSE team provides actionable insights on Pinterest’s infrastructure data - which enables us to reduce our costs, become more efficient, lower our carbon footprint, and grow sustainably as a company.
What you’ll do:
Quantify: what does winning look like? How do we think about balancing infrastructure spend and business/product growth?
Measure: are we on track? What dashboards, forecast models, analyses do we need to understand: are we on track to hit our infrastructure goals? Why or why not?
Analyze: how do we win? What analyses can we perform to uncover opportunities to improve our strategy?
Lead and up-level the team. As the most senior data scientist on the team, you will help define the strategic roadmap and priorities for the team, guide the team in execution, and up-level the data rigor and culture of the organization.
Collaborate closely with partners in Engineering, Finance, and Technical Program Management (TPM) teams across the company.
What we’re looking for:
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
Proven ability to apply scientific methods to solve real-world problems on web-scale data.
Expertise in at least one scripting language (ideally Python/R).
Proficiency in SQL/Hive.
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams .
Experience leading key technical projects and substantially influencing the scope and output of others.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-NM4
#LI-REMOTE