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Gusto
Denver, CO, United States
About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide. Our mission is to creat
Job Source: GustoMETA
Denver, CO, United States
Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help
Job Source: METAIbotta, Inc.
Denver, CO, United States
Ibotta is seeking a Decision Scientist, Product Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Partnering with one or more cross-functional product teams, you will support product optimization and growth through discovery, opportunity sizing, measurement, reporting and analysis. Our decision sc
Job Source: Ibotta, Inc.National Renewable Energy Lab
Golden, CO, United States
Posting Title HPC Analytics Data Scientist . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and ener
Job Source: National Renewable Energy LabIbotta, Inc.
Denver, CO, United States
Would you like to be part of an industry-leading CPG analytics organization? Ibotta is seeking a Data Scientist, Client Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Ibotta captures billions of purchases annually, with over ten thousand brands and across hundreds of retailers, presenting the r
Job Source: Ibotta, Inc.Meta Inc
Denver, CO, United States
Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company
Job Source: Meta IncENGIE North America Inc.
Westminster, CO, United States
What You Can Expect The Senior Data Scientist, Performance Analytics will be responsible for using statistical programs, developing internal analytical solutions, and using tools to conduct intensive analysis of project operations data. Every day in this role the Senior Data Scientist will assist with maintaining data pipelines by collecting, clean
Job Source: ENGIE North America Inc.OpTerra Energy Group
Westminster, CO, United States
What You Can Expect The Senior Data Scientist, Performance Analytics will be responsible for using statistical programs, developing internal analytical solutions, and using tools to conduct intensive analysis of project operations data. Every day in this role the Senior Data Scientist will assist with maintaining data pipelines by collecting, clea
Job Source: OpTerra Energy GroupDenver, CO, United States
Summary:
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Required Skills:
Data Scientist, Product Analytics Responsibilities:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications:
Minimum Qualifications:
A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Preferred Qualifications:
Masters or Ph.D. Degree in a quantitative field.
Public Compensation:
$173,000/year to $242,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
Email Alert for Data Scientist, Product Analytics jobs in Denver, CO, United States
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