Lead Data Scientist ( W2 position, Need & only)

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Fluency
Databricks
Decision Support
Decision-making
Emerging Technologies
FOCUS
Collaboration
Computer Science
Customer Facing
Data Analysis
Data Science
Algorithms
Apache Spark
Applied Mathematics
Artificial Intelligence
Big Data
Predictive Analytics
Predictive Modelling
Python
Research
SQL
Statistical Models
Modeling
NumPy
Optimization
Pandas
Performance Monitoring
PyTorch
Leadership
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
Statistics
TensorFlow
Use Cases
matplotlib
scikit-learn

Job Details

Job Title:- Lead Data Scientist

New York- Hybrid-Remote also will be considered for strong

Contract

4 pages resume

This Backfill for one our candidate so get us very strong candidate

Very Strong Communication

LAB49 is a global consultancy specializing in designing and building next-generation digital products for leading investment banks, asset managers, hedge funds, and fintech innovators. We bring together strategy, design, and engineering to help our clients transform their businesses and stay ahead of the curve in a rapidly evolving landscape.

The Role: THE COMPANY is seeking a Lead Data Scientist to join our team and drive advanced data science solutions for one of our clients. This is a client-facing leadership role, blending deep technical expertise with the ability to advise stakeholders, shape data strategies, and guide teams to deliver high-impact outcomes. You ll work on cutting-edge problems in data analytics, machine learning, and predictive modeling, helping the client unlock the value of their data and enhance decision-making capabilities.

Responsibilities:

    • Partner with stakeholders to define data science opportunities, shape problem statements, and deliver impactful solutions.
    • Lead end-to-end data science projects from exploration and modeling to deployment and performance monitoring.
    • Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation.
    • Design and implement predictive models, optimization frameworks, and machine learning algorithms tailored to complex business use cases.
    • Develop and present compelling visualizations to convey complex data relationships through clear and insightful static graphics.
    • Communicate complex technical concepts clearly to senior stakeholders, clients, and non-technical audiences.
    • Collaborate with Lab49 s design and engineering teams to embed data science models into scalable digital products.
    • Stay ahead of industry trends, research, and emerging technologies in AI/ML, with a focus on practical business applications.

Qualifications

    • 8+ years of experience in data science, including at least 2 3 years in a lead/principal role.
    • Strong background in applied machine learning, statistical modeling, and predictive analytics.
    • Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus.
    • Strong understanding of model deployment, MLOps practices, and productionizing ML solutions.
    • Proven ability to create effective data visualizations for storytelling and decision support.
    • Excellent client-facing skills, with the ability to communicate technical concepts and business impact.
    • Master s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.

Nice to Have

    • Some fluency in blockchain and smart contract analytics.
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