Senior Data Scientist

Constellation Software, Inc.New York, NY
$170,000 - $200,000Hybrid

About The Position

We're looking for a Senior Data Scientist to take a leading role in building the AI that powers Constellation. You'll ship production models—generative AI, autonomous agents, and predictive models for churn, LTV, and pricing— while mentoring a growing team and shaping our technical standards. If you want your work to reach real users in regulated industries like automotive and life sciences (not sit in a notebook), this is that role.

Requirements

  • 8+ years of experience in data science, ML engineering, or applied AI, with a track record of shipping models in production.
  • Deep experience with Python (Pandas, NumPy, Scikit-learn) and modern ML/DL libraries (PyTorch, TensorFlow, Hugging Face, LangChain).
  • Strong command of SQL and data modeling in cloud warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Experience building systems using AWS (Lambda, SageMaker, EC2, Batch, S3) or similar cloud platforms.
  • Solid understanding of ETL/data pipelines and orchestration tools (e.g., Airflow).
  • Experience with agent-based architectures, LLMs, and real-world generative AI applications (NLP, content synthesis, summarization, retrieval).
  • Outstanding communication and mentorship skills, with a collaborative mindset and a passion for helping others grow.

Nice To Haves

  • Familiarity with automotive or life sciences data domains is a strong plus—whether in marketing analytics, medical devices, vehicle inventory intelligence, or regulatory content.
  • 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.
  • Experience with deploying and evaluating LLMs, retrieval pipelines, or autonomous AI agents in production.
  • Exposure to Looker, Tableau, or similar BI platforms.

Responsibilities

  • Lead AI/ML Initiatives: Architect, prototype, and productionize ML models, including generative AI, recommendation systems, and domain-specific agents tailored to marketing, regulatory compliance, and creative workflows.
  • Drive Agentic AI Capabilities: Build agent-based systems that reason, retrieve, validate, and act autonomously, supporting prompt chaining, tool usage, and evaluation feedback loops.
  • 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 customer LTV, churn, content efficacy, user engagement, and pricing optimizations, leveraging both structured and unstructured data.
  • Own the ML Stack: Contribute to architecture decisions on model lifecycle management, pipelines, monitoring, and experiment tracking using modern tooling like MLflow, SageMaker, or Vertex AI.
  • Drive Applied Research: Stay on top of advances in transformers, large language models, retrieval-augmented generation, and probabilistic programming—and bring these innovations to production.

Benefits

  • base salary
  • equity options
  • benefits
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service