Lead Data Scientist/ ML Engineer Job at Beacon Hill (Philadelphia)

Lead Data Scientist/ ML Engineer

Beacon Hill

Location:
United States , Philadelphia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

80.00 - 90.00 USD / Hour

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Job Description:

This role focuses on building advanced machine learning and AI solutions to better understand customer behavior, pricing dynamics, and sales effectiveness. The position blends deep learning, data science, and generative AI techniques to answer critical business questions such as customer churn, relationship longevity, pricing competitiveness, and sales performance. The role is highly hands‑on and requires ownership of the full lifecycle-from locating and preparing data to developing, evaluating, and deploying models.

Job Responsibility:

Design, build, and evaluate machine learning models using deep learning, classification, and regression techniques
Analyze customer behavior to understand churn drivers, customer lifecycle duration, and relationship development timelines
Develop models using historical customer data including order history, pricing trends, and engagement patterns
Analyze historical price data to identify pricing behavior, trends, and competitive positioning
Build models to assess competitive pricing impacts and identify whether customer loss is driven by price competition
Partner with sales leadership to evaluate sales effectiveness, including developing models to assess sales representative performance and knowledge impact
Perform end‑to‑end data discovery, sourcing, and preparation across multiple systems and datasets
Conduct data mining and exploratory data analysis to uncover patterns and business insights
Develop, test, and maintain production‑ready Python code for data science and machine learning workflows
Collaborate with business stakeholders to translate analytical findings into actionable recommendations
Design and implement prompt engineering strategies for large language models
Fine‑tune and adapt LLMs to support business‑specific use cases
Build retrieval‑augmented generation (RAG) solutions using vector databases
Integrate LLM frameworks and orchestration tools into data science workflows
Develop and maintain AI pipelines using frameworks such as LangChain and Semantic Kernel

Requirements:

Strong background in data science and machine learning
Hands‑on experience with deep learning, classification, and regression modeling
Advanced Python development experience for data science and ML applications
Experience analyzing customer behavior, churn, pricing, or sales performance data
Proven ability to independently locate, assess, and prepare complex datasets
Experience building models that drive business insights and decision‑making
Strong analytical thinking and problem‑solving skills
Ability to communicate complex technical findings to non‑technical stakeholders

Nice to have:

Experience with customer analytics, pricing strategy, or sales performance modeling
Experience working with generative AI and LLM‑based solutions
Familiarity with vector databases and retrieval‑based AI architectures
Experience deploying or operationalizing machine learning models
Experience working in fast‑paced, data‑driven environments

Additional Information:

Job Posted:
March 26, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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