Data Science Lead

2 days ago

Boston, Massachusetts, United States Enumerate Full time $130,000 - $170,000 per year

Department:
Engineering

Location:
Boston

Compensation:
$130,000 - $170,000 / year

Description
tbd

Key Responsibilities
Leadership & Strategy Lead the overall data strategy for the company, aligning data initiatives with business goals and product priorities. Manage a small team of data engineers, analysts, and data scientists, fostering collaboration and continuous improvement. Define and implement a data governance framework, including policies for data ownership, stewardship, lineage, and quality. Partner with business, product, and engineering teams to translate analytical needs into data models, infrastructure, and workflows. Serve as the data domain expert, advising executives on emerging trends in data science, AI, and analytics. Data Architecture & Modeling Design and oversee enterprise-wide data models and schemas that ensure consistency and reusability across systems. Collaborate with the Data Engineer to implement scalable pipelines, integrations, and APIs supporting analytical and operational use cases. Define standards for data cataloging, documentation, and lineage tracking, ensuring transparency and accessibility. Oversee data governance tooling (e.g., AWS Glue or equivalent) and enforce compliance with company policies. Analytics & Enablement Partner with business teams to translate data into insights, empowering decision-making across functions. Establish best practices for analytics and model development, including experimentation frameworks and performance monitoring. Evaluate and recommend machine learning and AI opportunities that enhance business value. Develop KPIs and dashboards to measure data quality, usage, and organizational impact.

Skills, Knowledge & Expertise
Requirements BS or MS in Data Science, Computer Science, Statistics, or related field (PhD a plus). 8+ years of experience in data strategy, data science, or analytics leadership. Proven experience in data modeling, governance, and architecture design within a modern cloud environment (AWS, GCP, or Azure). Experience managing and mentoring technical data teams (data engineers, scientists, analysts). Strong understanding of ETL pipelines, APIs, and data warehouse technologies. Proficiency with SQL, Python, and statistical or ML libraries (e.g., pandas, scikit-learn, PyTorch). Familiarity with data governance and catalog tools (Microsoft Purview, Alation, or Collibra preferred). Excellent communication, stakeholder management, and documentation skills. Preferred Qualifications Experience implementing data governance at scale across multiple departments. Demonstrated success in building and operationalizing analytics platforms. Familiarity with AI/ML pipelines and model lifecycle management. Experience with Agile development and modern AI-informed data observability tools.

Job Benefits
yes - 170K is the OTE

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