Senior Data Scientist (San Jose, CA)

Confidentialabout 1 year ago
San Jose, California, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Join Adobe's Worldwide Digital Media Finance organization as a Sr. Data Scientist in the FP&A team. In this role, you’ll leverage data science and FP&A best practices to automate repetitive forecasting tasks, drive insights, and support financial decision-making within a high-revenue business unit.

Key Responsibilities

  • Build, improve, and maintain sophisticated ARR time series forecasting models to boost accuracy and deliver time savings for finance partners.
  • Collaborate with finance partners to understand challenges and design effective forecasting solutions.
  • Present methodologies and results to stakeholders ranging from analysts to SVPs.
  • Incorporate human-in-the-loop approaches to enhance forecast accuracy and explainability.
  • Act as a finance data science evangelist, identifying high-impact opportunities within FP&A and implementing innovative solutions.
  • Collaborate on dashboard creation to increase visibility of key metrics.

Required Qualifications

  • Deep experience in time series modeling, including building, deploying, and explaining forecasting models.
  • Excellent problem-solving skills with the ability to identify issues and implement solutions with minimal guidance.
  • Strong communication skills to interact effectively with various partners.
  • Exceptional presentation skills to explain complex methodologies to non-technical audiences.
  • A passion for applying data science techniques to traditional FP&A challenges.
  • Familiarity with financial concepts such as ARR and ARPU.
  • Intermediate to advanced Python programming skills.
  • Experience with data pipelining; familiarity with Databricks is preferred.
  • Proven background in fully automated time series forecasting using Python.

Benefits & Perks

  • Compensation: U.S. pay range is $128,600 to $234,200 annually, with variations based on work location, job-related knowledge, skills, and experience.
  • Attractive incentive programs including commission plans for sales roles or an Annual Incentive Plan (AIP) for non-sales roles, with potential for long-term equity awards.
  • An exceptional work environment recognized on Best Companies lists, focused on equal opportunity, inclusion, and career growth.
  • Robust employee benefits that support professional development and overall well-being.

Required Skills

Automated Forecasting Models
Presentation Skills
Time Series Forecasting
Data Pipelining
Data Science Evangelism
Dashboard Creation
FP&A Best Practices
Effective Communication
Human-in-the-loop Methodologies
Python Programming
Financial Analysis