Lead Data Scientist (REF:185369)

Forsyth Barnes; New York (NY); Remote; USD 140,000; Full time

Job summary

A leading company in the Retail sector is seeking a Lead Data Scientist to drive impactful AI solutions. This role requires developing cutting-edge data science practices to optimize marketing and improve user experiences based on insights from extensive datasets. Ideal candidates will have a strong technical background with proven expertise in machine learning and data analysis, working remotely within the US or Canada.

Qualifications

• 7 to 10 years of experience in scalable data solutions.
• Proficient in machine learning algorithms including CNNs.
• Extensive programming in Python and SQL.

Responsibilities

• Develop AI-powered solutions for personalization and marketing.
• Address complex challenges in product experience.
• Work with large datasets to enhance platform.

Skills

Machine Learning Algorithms

Analytical Skills

Communication

Tools

Python

SQL

Spark

PyTorch

TensorFlow

Job description

This range is provided by Forsyth Barnes. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140.00/yr - $140.00/yr

Role: Lead Data Scientist Ref: 185369

Contract Length: 12-month contract (with room to extend)

Location: Fully Remote (Must be US or Canada-based)

Sector: Retail

Rate: $140 Per Hour

Overview:

Our client is a respected leader in the Retail and Apparel & Accessories sector, committed to utilizing data to generate significant business impact. This organization fosters innovation through a state-of-the-art platform, catering to a lively community of over 130 million users.

In the role of Lead Data Scientist, you will play a pivotal part in addressing intricate challenges related to personalization, marketing optimization, trust & safety, and product experience. Working with an expansive dataset generated by a diverse user base, you will develop AI-powered solutions that enhance the platform while providing exceptional experiences for the community

Requirements:

• 7 to 10 years of experience in creating scalable data science solutions within vast data environments.

• Proficient in key machine learning algorithms, including Convolutional Neural Networks (CNNs), Transformers, and Vision Transformers.

• Extensive expertise in programming languages such as Python, SQL, and Spark (Scala or PySpark), along with practical experience using deep learning frameworks like PyTorch or TensorFlow.

• A solid grasp of fundamental concepts in linear algebra, statistics, probability, calculus, and A/B testing.

• Strong analytical skills complemented by the ability to communicate complex technical information clearly to diverse audiences, including executives and technical teams.

• High experience with personalization algorithms, recommendation systems, or user behaviour modelling.

• Familiarity with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) or Parameter-Efficient Fine-Tuning (PEFT)

We cannot provide any sponsorship for this role.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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