GoPro:
Senior Data Scientist Job in San Mateo, VT
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San Mateo, VT
Full-time
About the job
Senior Data Scientist
About GoPro
GoPromakes it easy for people to celebrate and share experiences. We believe life is more meaningful when shared. We build cameras, software, and accessories that help the world share itself in immersive and exciting ways.
GoPro is a global movement whose business is driven by shared experiences. We celebrate diversity. We practice inclusion. We foster belonging. We demand equality. And we share the experiences of individuals and communities who also hold these values as core to who they are. From So Paulo to Munich, Silicon Valley to Shenzhen, we are dedicated to building a company that reflects and honors the diverse global communities where we live, work, and play.
GoPro is seeking a highly motivated, top-tier candidate to take on the responsibilities of a Data Scientist for the Analytics Team. You will be a part of the Analytics Team, working closely with other Analysts across product and service verticals, and cross-functionally with Product and Business Stakeholders, including Data Engineering. Key responsibilities include but are not limited to identifying advanced analytic requirements and interfacing with Data Engineering to produce data sets to support advanced analytics. S/he will also own development and automation of key analytics reports and visualizations that support informed decision making.
Responsibilities
Lead business requirements and advanced analytics requirements gathering efforts, interfacing with Data Engineering, Analytics, and stakeholder teams
Build analytics data table infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other business performance metrics
Apply Advanced Analytics/Data Science techniques to extract actionable insights from large datasets that support stakeholder decision making
Skills Were Stoked About
Bachelor/Graduate degree in Analytics, Statistics, Engineering, Math, Economics, or Science
3+ years of Analytics and or Data Engineering experience
Data Engineering experience using Java, Scala, Python or similar programing language to produce analytic data pipelines and data sets
Experience with machine learning techniques and algorithms, like k-NN, Nave Bayes, SVM, Decision Forests, Clustering, Ensemble Methods, etc.
Experience using Python, R, SAS, SPSS or other statistical tools
Familiar with visualization libraries like Plotly, Seaborn, Bokeh, ggplot2, or similar
Strong SQL skills
Analytical thinker with a strong passion for data, visualizations, analysis, trends, and evangelizing data usage across various teams
GoPro Highlights
Fully-stocked kitchen with snacks galore
Live it. Eat it. Love it. Two dedicated hours during your week to explore your passions and capture it with your GoPro.
Get your very own GoPro (Mounts and accessories included)
Discounted employee stock purchase plan (ESPP)
401(K) matching
Discretionary Time Off
12 weeks paid Parental Leave for new parents
Medical, dental, and vision insurance premiums are 100% paid for employees, 80% paid for dependents
Life insurance and disability benefits
Employee commuter shuttles
GoPro is an Equal Opportunity Employer.
#LI-BL1
About GoPro
GoPromakes it easy for people to celebrate and share experiences. We believe life is more meaningful when shared. We build cameras, software, and accessories that help the world share itself in immersive and exciting ways.
GoPro is a global movement whose business is driven by shared experiences. We celebrate diversity. We practice inclusion. We foster belonging. We demand equality. And we share the experiences of individuals and communities who also hold these values as core to who they are. From So Paulo to Munich, Silicon Valley to Shenzhen, we are dedicated to building a company that reflects and honors the diverse global communities where we live, work, and play.
GoPro is seeking a highly motivated, top-tier candidate to take on the responsibilities of a Data Scientist for the Analytics Team. You will be a part of the Analytics Team, working closely with other Analysts across product and service verticals, and cross-functionally with Product and Business Stakeholders, including Data Engineering. Key responsibilities include but are not limited to identifying advanced analytic requirements and interfacing with Data Engineering to produce data sets to support advanced analytics. S/he will also own development and automation of key analytics reports and visualizations that support informed decision making.
Responsibilities
Lead business requirements and advanced analytics requirements gathering efforts, interfacing with Data Engineering, Analytics, and stakeholder teams
Build analytics data table infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other business performance metrics
Apply Advanced Analytics/Data Science techniques to extract actionable insights from large datasets that support stakeholder decision making
Skills Were Stoked About
Bachelor/Graduate degree in Analytics, Statistics, Engineering, Math, Economics, or Science
3+ years of Analytics and or Data Engineering experience
Data Engineering experience using Java, Scala, Python or similar programing language to produce analytic data pipelines and data sets
Experience with machine learning techniques and algorithms, like k-NN, Nave Bayes, SVM, Decision Forests, Clustering, Ensemble Methods, etc.
Experience using Python, R, SAS, SPSS or other statistical tools
Familiar with visualization libraries like Plotly, Seaborn, Bokeh, ggplot2, or similar
Strong SQL skills
Analytical thinker with a strong passion for data, visualizations, analysis, trends, and evangelizing data usage across various teams
GoPro Highlights
Fully-stocked kitchen with snacks galore
Live it. Eat it. Love it. Two dedicated hours during your week to explore your passions and capture it with your GoPro.
Get your very own GoPro (Mounts and accessories included)
Discounted employee stock purchase plan (ESPP)
401(K) matching
Discretionary Time Off
12 weeks paid Parental Leave for new parents
Medical, dental, and vision insurance premiums are 100% paid for employees, 80% paid for dependents
Life insurance and disability benefits
Employee commuter shuttles
GoPro is an Equal Opportunity Employer.
#LI-BL1