- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Understand what matters most and prioritize ruthlessly
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 8-10+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Significant experience with SQL and large unstructured datasets such as Hadoop
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
- Strong verbal and written communication skills
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
- Advanced scripting language experience: R/Python
- Superior skills with Tableau
- Experience with predictive modeling based strategies
- Experience in handling large data sets and relational databases
-
Machine Learning Engineer
3 weeks ago
Pluralsight Greater Boston Area, United States Full timeJob Description: · The Opportunity · In this role you will be a part of a product development team that delivers personalized experiences to Pluralsight's learners. You'll help our learners discover content that is relevant to their interests and goals, provide them with a homepa ...
-
Director, Data Science
2 weeks ago
Dropbox Greater Boston Area, United States Full timeRole Description · The Data Science team is a central function which seeks to leverage data to help make better business decisions. This team leverages a variety of data sources and quantitative techniques to synthesize stories around how our customers use our products and develo ...
-
Senior Machine Learning Engineer
1 week ago
Pluralsight Other US Location, United States Full timeJob Description: · The Opportunity · In this role you will be a part of a product development team that delivers personalized experiences to Pluralsight's learners. You'll help our learners discover content that is relevant to their interests and goals, provide them with a homepa ...
-
Summer Internship
1 week ago
Skillsoft Greater Boston Area, United States InternshipSHIP· At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. · OVERVIEW: Our orga ...
Staff, Data Scientist - Greater Boston Area, United States - Dropbox
Description
Role Description
We're looking for a Staff, Data Scientist to partner with engineering and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
Requirements
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