XPO

Senior Data Scientist: Remote/Hybrid NYC metro area ($175-200k)

Our company is on a mission to redefine the live event experience on a global scale.

We're on the lookout for an accomplished Senior Data Scientist to join our Data Engineering & Analytics team. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within our dynamic ecosystem.

Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of our consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities.

About The Role

As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential.

Location: Remote/Hybrid in NYC Metro Area

What You'll Do

• Build and understand modeling related to one of four possible areas including Experimentation, Forecasting, Pricing or Customer Acquisition
• Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences
• Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing
• Find and develop your own roadmaps with business partners and carry out project management and execution of your own work
• Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups
• Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team

Required Skills:

• 5-9 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred.
• Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL
• Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn)
• Experience in building production level models in cloud environments (e.g., AWS, Azure)
• Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have
• Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs

#IND1000