Lead Data Scientist

5 hours ago

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PandaDoc

WebsiteLinkedInAll Job Openings

Sales Automation • Contact Management • Document Management • Digital Signage • SaaS

501 - 1000 employees

Founded 2011

☁️ SaaS

🤝 B2B

⚡ Productivity

💰 Series C on 2021-09

Description

• Your role as a Lead Data Scientist is to support stakeholders through data science techniques and building the solutions for the business’s key initiatives • In addition, you will leverage PandaDoc’s data to enhance business performance and help stakeholders achieve their goals • You will be assisting 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 Director of Product & Growth Analytics and work closely with Product as well as Finance, Design, and Engineering • As a Lead Data Scientist, you will take full ownership of your projects from start to finish. • This includes collaborating with stakeholders to understand key business questions, sourcing and preparing data, performing exploratory data analysis, building and fine-tuning models, and conducting in-depth analysis • You will communicate your findings and insights through dashboards, visualizations, and presentations, ensuring alignment with business objectives. • Use data and apply creative analytical problem-solving skills to a wide variety of product questions to deepen our understanding of customer workflows, churn risk, and long-term value • Develop statistical models, machine learning algorithms, process automations, and predictive analytics solutions to address business challenges • Design experiments to test hypotheses and apply advanced statistical techniques and causal inference methods (i.e. A/B testing, statistical tests, Bayesian experimentation, etc.) to assess effectiveness of proposed changes • Assist the business and management team in the decision making process using data analysis to make actionable recommendations • Understand business strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals • Craft, deliver and own performance monitoring dashboards that guide understanding of how the business is performing today and where it may go next • Work with the data engineering team to get data pipeline processes productionized and automated • Example projects could include: • Research and analyze different segments of our customer base to determine better product offering strategies • Develop a feature recommendation model to be deployed in product • Build predictive models focused on account adoption and expansion allowing us to improve customer experience, profitability, and forecasting

Requirements

• 7+ years hands-on professional experience in analytics working with large, complex, and multifaceted data sets and applying machine learning science techniques to solve practical business problems • 7+ years of experience working with cleaning, manipulating, and visualizing data you can extract from multiple sources and an established data warehouse (Snowflake, Redshift, Oracle, Postgres, etc) • Have a focus on creating repeatable work for models that are not unnecessarily complex • Comfortable managing multiple projects, competing priorities, and an evolving roadmap • Excellent communication and presentation skills and proven ability to translate data into actionable insights • Excellent interpersonal skills, with a consistent record of working across and communicating with all levels of the organization • Team player who understands the collaborative nature of this work with the ability to influence at C-suite level in a cross-functional environment • B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, Engineering Sciences or related discipline • Experience using the following software/tools: • Relational Databases, including Postgres and Snowflake • R or Python experience with related data science packages (SciKit-Learn, numpy, pandas (duh), Matplotlib) • Visualization tool (Tableau, PowerBI, Domo, Qlik, etc) • Data pipeline and workflow management tools, such as dbt is helpful

Benefits

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