ABOUT CONSTELLATION:

Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business. Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation of compliant content at scale. We enable our customers to harness their data and streamline the creation of localized, personalized content. A global, NYC-based company, Constellation has been revolutionizing marketing technology and data intelligence in order to drive exponential growth since its founding in 2016.
Constellation was named the 65th Fastest-Growing Private Company in America, the 10th Fastest-Growing Women-Owned Private Company, and the 7th Fastest-Growing Marketing & Advertising Company by Inc 500. In 2022, our platform won the Digiday Technology Award for Best Marketing Automation Platform.

BONUS EXPERIENCE

• Experience with model lifecycle management, pipelines, monitoring, and experiment tracking using modern tooling like MLflow, SageMaker, or Vertex AI.
• Experience building systems using AWS (Lambda, SageMaker, EC2, Batch, S3) or similar cloud platforms.
• Experience with probabilistic modeling (e.g., PyMC3, Stan).
• Familiarity with graph databases (e.g., Neo4j) and modeling network effects.
• Prior exposure to recommendation engines, survival models, or multi-touch attribution.
• Exposure to Looker, Tableau, or similar BI platforms.

ABOUT THE ROLE

We are seeking an experienced Senior Data Scientist to spearhead the development and optimization of our Automotive predictive models. This role will involve leading end-to-end model development, from data preprocessing to deployment, and collaborating with cross-functional teams to deliver scalable, high-impact AI models and solutions. The ideal candidate is a strategic thinker with deep expertise in machine learning, deep learning, and transformer architectures, self-motivated with a proven ability to drive and advance projects.

WHAT YOU’LL DO

• Lead Predictive Model Development:
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• Model Development: Architect, develop, and fine-tune inventory predictive models to address complex decision-making challenges.

• Model Evaluation: Define and implement metrics to evaluate model performance, iterating on designs to improve accuracy, efficiency, and robustness.
• Model Deployment: Collaborate with engineering teams to deploy models into production environments, ensuring scalability, reliability, and performance.
• Documentation: Document methodologies, experiments, and results.
• Research and Innovation: Stay at the forefront of advancements in deep learning, transformer architectures, reinforcement learning, and sequential decision-making, applying cutting-edge techniques to enhance model performance.
• Mentor & Scale the Team: Coach junior and mid-level data scientists and engineers, review code, drive standards, and help shape a culture of high performance, curiosity, and inclusivity.
• Collaborate Cross-Functionally: Work closely with Product, Engineering, Design, and GTM teams to integrate intelligent systems into customer-facing features and internal tooling.
• Model Business-Critical Outcomes: Develop models for inventory and pricing optimizations, leveraging both structured and unstructured data.