Data Scientist - FP&A

We are looking for a highly skilled Data Scientist to join our team and play a key role in predictive analytics, and data-driven decision-making. This role will focus on designing, developing, and optimizing machine learning models, statistical forecasting techniques, and data-driven insights to drive financial planning and decision-making.

 If you're passionate about data science, advanced analytics, and solving complex business challenges, this is an opportunity to make a real impact in a fast-paced, high-impact environment.

Meet Our Team

This role is part of a team responsible for enhancing financial forecasting, risk assessment, and automation efforts for strategic business planning. Our work directly influences key financial metrics, operational efficiency, and long-term growth strategies.

 We are looking for someone who can analyze patterns, build scalable models, and generate actionable insights to drive smarter business decisions. The ideal candidate thrives in a collaborative environment, works well with cross-functional teams, and has a strong problem-solving mindset.Job Description:

Your way to impact:

• Partner with engineering teams to enhance automation, scalability, and integration of forecasting models into planning systems.
• Implement best practices in feature engineering, hyper-parameter tuning, and external variable integration to improve forecast stability.

Your Day-to-Day:

In your day to day, you will -

• Work with large, complex datasets to drive insights and improve forecasting accuracy for financial planning and strategic decision-making.
• Employ advanced analytical and statistical techniques to identify key business trends from multiple perspectives and package the insights into easily consumable presentations
• Engage in problem solving with Product, Finance, Marketing, and various other teams to determine performance trends and root causes.
• Develop and present data-driven insights and strategic recommendations to Finance, Strategy, and Data Science leadership. 
• Partner with engineering teams to enhance automation, scalability, and integration of forecasting models into planning systems.
• Implement best practices in feature engineering, hyper-parameter tuning, and external variable integration to improve forecast stability.
• Promote a culture of continuous learning and innovation by experimenting with new modeling techniques and AI-driven forecasting approaches.
• Stay updated on the latest advancements in predictive analytics, ML-driven automation, and data science best practices to enhance forecasting frameworks.

What do you need to bring:

• Bachelor’s degree in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus
• 3-6 years of experience in data science, machine learning, or advanced analytics.
• Expertise in Python or R for data modeling, statistical analysis, and machine learning.
• Strong SQL skills (preferably BigQuery) and experience working with large-scale relational and NoSQL databases.
• Deep understanding of time-series forecasting, statistical modeling, and predictive analytics.
• Experience with cloud computing platforms (GCP, AWS, or Azure) for scalable analytics.
• Proficiency in data visualization tools (Tableau, Looker, Power BI, etc.).
• Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis 
• Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis 
• Must have good business judgment with demonstrated ability to think creatively and strategically
• Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
• Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones