Your role as the Senior Data Scientist is to support stakeholders through data science techniques and building the solutions for the business’s key initiatives. In addition, you will synthesize and leverages the business’s dataset and data to enhance the business capabilities for overall goal achievement. You will be helping the business to continue its evolution into a data-driven culture and will apply and inspire the adoption of advanced data science across the business. You will report to the Data Science Manager and work closely with the Marketing, Sales, and Customer Success organizations.

In this role, you will:

• Use data to make sense of complex buyer journeys. Analyze how customers
  navigate our marketing websites and identify opportunities for improvement
• Analyze company data to answer business questions, discover insights, prepare
  segmentation and describe patterns
• Apply advanced statistical techniques and causal inference methods to design and
  analyze web experimentations (i.e. A/B testing, quasi-experimentation, statistical
  tests, Bayesian experimentation, etc.)
• Apply creative analytical problem-solving skills to a wide variety of sales/marketing
  questions to deepen our understanding of campaign & funnel effectiveness,
  customer journeys, and go-to-market performance
• Assist the business and management team in the decision making process using
  data analysis
• Understand business strategy and high-level roadmap and align analysis efforts to
  enable them with data insights and help achieve their strategic goals
• Crafting, delivering and owning performance monitoring dashboards that guide
  understanding of how the business is performing today and where it may go next

About you:

• 5+ years hands-on experience in analytics working with large, complex, and
  multifaceted data sets
• B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, and/or
  Engineering Sciences
• Comfortable managing multiple projects, competing priorities, and an evolving
  roadmap
• Experience working with cleaning, manipulating, and visualizing data
• Excellent communication and presentation skills and proven ability to translate data
  into actionable insights
• Excellent interpersonal skills, with a consistent record of working across all levels of
  the organisation
• Team player who understands the collaborative nature of this work with the ability to
  influence at C-suite level in a cross-functional environment
• Experience using the following software/tools:
  • Relational Databases, including Postgres
  • Data pipeline and workflow management tools as Airflow
  • AWS cloud services: RDS, Redshift
  • R or Python experience would be a plus but not required

It would be awesome if you had but not a must:

• Experience in B2B; 
• Advanced degree e.g. Masters;
• Experience with statistical inference and causal inference techniques. 

Company Overview: 

PandaDoc empowers more than 30,000 growing organisations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.

Check out our LinkedIn to learn more.

Benefits:

Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.