Staff Data Scientist
To see similar active jobs please follow this link: Remote Development jobs
Role Description
The Product Instrumentation team is responsible for event tracking implementation and data collection across Dropbox web, desktop, and mobile experiences, and making this data available for self-serve reporting and actionable insights. This data is used by Product, Data Science, Engineering, and Leadership to monitor the health and performance of our products, and to inform optimization and long-term strategic decisions.
As part of this team, you are a curator of product data at Dropbox. You are focused on designing and building solutions to collect high quality, standardized data and transforming them into insights surfaced through dashboards, business intelligence tools, and other data platforms. You will collaborate with partner teams including Data Platform, Data Engineering, Product Engineering, and Data Science to ensure the quality and integrity of our raw event logging, enrich the data collected, and identify new ways to provide ever more valuable insights to decision makers across the organization.
Responsibilities
Develop and enforce best practices for tagging events, validation, and lifecycle management to maintain data consistency and availability
Integrate standardized event logging with downstream data pipelines and analytics tooling for insights and metrics consumption, and manage its quality at varying levels of aggregation
Guide product managers, engineers, and data scientists through all phases of product instrumentation, including event discovering, spec building, implementation, and validation
Build automated solutions to validate the quality and integrity of all product event logging
Devise a scalable data audit process to ensure event attributes and values map back to business objectives
Partner with Data Platform on a data governance framework
Train partner teams on how to build a healthy culture around product instrumentation
Requirements
8+ years of relevant web and/or mobile apps analytics experience (bonus if familiar with subscription products), including experience designing, developing, and deploying data products to production
Deep familiarity with industry standard web/mobile analytics and BI tools, including but not limited to Google Analytics, Snowplow Analytics, Amplitude, Mixpanel, etc.
Solid knowledge of data collection practices, product instrumentation, event tagging, building data taxonomies, and how to integrate data with downstream processing and analyses
Ability to translate metric definitions into analytics logging requirements in clear and precise technical terms
Experience collaborating with technical stakeholders across Product and Engineering
Expertise in SQL, python, and spark to get the job done
Possesses a keen eye for detail and passion for driving high data quality
Preferred Qualifications
Familiarity with Databricks
Experience conducting exploratory analyses on large datasets and summarizing complex information in an easy to understand way
Total Rewards
Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. We target most new hire offers between the minimum up to the middle of the range.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Current Salary/OTE Ranges (Subject to change): • US Zone 1: $210,800 - $248,000 - $285,200. • US Zone 2: $189,700 - $223,200 - $256,700. • US Zone 3: $168,600 - $198,400 - $228,200. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows: • US Zone 1: San Francisco metro, New York City metro, or Seattle metro • US Zone 2: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro), Washington DC metro and West Virginia (DC metro) • US Zone 3: All other US locations
About the job
Staff Data Scientist
To see similar active jobs please follow this link: Remote Development jobs
Role Description
The Product Instrumentation team is responsible for event tracking implementation and data collection across Dropbox web, desktop, and mobile experiences, and making this data available for self-serve reporting and actionable insights. This data is used by Product, Data Science, Engineering, and Leadership to monitor the health and performance of our products, and to inform optimization and long-term strategic decisions.
As part of this team, you are a curator of product data at Dropbox. You are focused on designing and building solutions to collect high quality, standardized data and transforming them into insights surfaced through dashboards, business intelligence tools, and other data platforms. You will collaborate with partner teams including Data Platform, Data Engineering, Product Engineering, and Data Science to ensure the quality and integrity of our raw event logging, enrich the data collected, and identify new ways to provide ever more valuable insights to decision makers across the organization.
Responsibilities
Develop and enforce best practices for tagging events, validation, and lifecycle management to maintain data consistency and availability
Integrate standardized event logging with downstream data pipelines and analytics tooling for insights and metrics consumption, and manage its quality at varying levels of aggregation
Guide product managers, engineers, and data scientists through all phases of product instrumentation, including event discovering, spec building, implementation, and validation
Build automated solutions to validate the quality and integrity of all product event logging
Devise a scalable data audit process to ensure event attributes and values map back to business objectives
Partner with Data Platform on a data governance framework
Train partner teams on how to build a healthy culture around product instrumentation
Requirements
8+ years of relevant web and/or mobile apps analytics experience (bonus if familiar with subscription products), including experience designing, developing, and deploying data products to production
Deep familiarity with industry standard web/mobile analytics and BI tools, including but not limited to Google Analytics, Snowplow Analytics, Amplitude, Mixpanel, etc.
Solid knowledge of data collection practices, product instrumentation, event tagging, building data taxonomies, and how to integrate data with downstream processing and analyses
Ability to translate metric definitions into analytics logging requirements in clear and precise technical terms
Experience collaborating with technical stakeholders across Product and Engineering
Expertise in SQL, python, and spark to get the job done
Possesses a keen eye for detail and passion for driving high data quality
Preferred Qualifications
Familiarity with Databricks
Experience conducting exploratory analyses on large datasets and summarizing complex information in an easy to understand way
Total Rewards
Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. We target most new hire offers between the minimum up to the middle of the range.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Current Salary/OTE Ranges (Subject to change): • US Zone 1: $210,800 - $248,000 - $285,200. • US Zone 2: $189,700 - $223,200 - $256,700. • US Zone 3: $168,600 - $198,400 - $228,200. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows: • US Zone 1: San Francisco metro, New York City metro, or Seattle metro • US Zone 2: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro), Washington DC metro and West Virginia (DC metro) • US Zone 3: All other US locations