Principal Data Scientist, New Initiatives
Remote - Canada
Dropbox
Dropbox helps you simplify your workflow. So you can spend more time in your flow.Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission? What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox? As a Principal Data Scientist for this new division, you will exactly get to do that. You will be able to drive the future direction of this new initiative and answer key questions about revenue/user growth. You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this lead to build a top-tier data-informed culture with a lot of focus on impact and execution!
Responsibilities
- You will serve as the data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach
- You will partner closely with leadership across all functions - Product, Engineering, Design, Research, GTM, Customer success and Sales
- You will have the seat at the table for every key decision for this new initiative
- You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our organization’s long-term growth
- You will mentor and coach DS in our team and create an effective working model system between DS and XFNs
- You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale
- You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
- You will perform analytical deep-dives to analyze user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques
Requirements
- Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 10+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company
- 3+ years serving as a technical leader to work with data scientists, engineers, product managers, user researchers, and designers
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact
- Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmap
- Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact
- Good Executive presence with excellent verbal and written communication skills
- Previous experience building data driven programs and teams - proficient with SQL, Python and experiences with large datasets, deep understanding of statistical analysis & experiment design
- Previous experiences coaching and mentoring Sr data scientists to scale the team productivity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science CX Economics Engineering Mathematics Python Research SQL Statistics
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs