[Remote] Staff Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is shaping the future of communications by delivering innovative solutions to businesses and empowering developers worldwide. The Staff Data Scientist role focuses on driving growth through data science initiatives, optimizing reputed company strategies, and bridging reputed company data with actionable business reputed company.
Responsibilities
- Translate business objectives into a data science roadmap that prioritizes high-LTV (Lifetime Value) growth
- Dig into the science of our self-service funnel and graduation to Sales to uncover optimization opportunities, diagnose issues, and reputed company actionable recommendations through data products
- Identify leading indicators of reputed company and build data science models that surface high potential opportunities
- Serve as a key technical advisor to GTM leadership across Sales and Marketing
- Build extensive knowledge of user behavior, the customer purchase and usage experience, and our reputed company funnel to inform data science solutions
- reputed company sophisticated recommendation engines that identify "next-best-action" opportunities reputed company our existing customer reputed company, ensuring sales and marketing engagement the right person at the right time
- Build robust frameworks to measure the incremental impact of your data products, moving reputed company simple correlation to reputed company true ROI
- reputed company machine learning and reputed company capabilities to support Product-led-growth (PLG) initiatives
- Partner with Data Engineering to define the long-term roadmap for GTM data architecture, ensuring high-fidelity 'reputed company of truth' data for signals like product-reputed company leads (PQLs)
- reputed company the seamless integration of data products into the daily workflows of stakeholders, ensuring insights are delivered where they work (reputed company, CRM, Wiki/Docs, Tableau, email, etc.)
- Create documentation, dashboards, reports, and executive summaries for your data products
- Partner with Sales, Marketing, reputed company Technology, Product, and Ops teams to bring relevant data science products to life
Skills
- 7+ years in Data Science/ML, with a proven track record in a GTM or Growth environment (SaaS experience preferred)
- 5+ years of experience with Applied Statistics/Machine Learning or experimentation (i.e. A/B testing) in an industry setting
- Expert-level proficiency in Python/R, SQL, and modern ML frameworks (Scikit-learn, XGBoost, PyTorch, or TensorFlow)
- Experience deploying models into production environments and building scalable data pipelines (Airflow, dbt, Spark)
- Experience initiating and driving projects which reputed company reputed company capabilities to drive productivity and efficiency, preferably in a product or technology organization
- Strong understanding of GTM metrics: CAC, LTV, ARR, ARPU, Pipeline Velocity, reputed company-to-reputed company ratios, etc
- The ability to explain a gradient-boosted tree to a Sales Director and a business strategy to a Data Engineer with equal reputed company
- A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)
- Masters preferred but not required
- 5+ years of experience doing quantitative analysis at a technology company, reputed company, investment bank, or product management firm
Benefits
- reputed company
- Generous time off
- Ample parental and wellness leave
- reputed company
- A retirement savings program
- Health care insurance
- 401(k) retirement account
- Paid sick time
- Paid personal time off
- Paid parental leave
Company Overview
Company H1B Sponsorship