Senior Data Scientist - Remote/Hydrid

Preston Harris Group • Full-time • United States • $175k - $200k / year • 13h ago

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

Salary Range:

$175,000—$200K + Bonuses

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