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Adecco

Senior Data Scientist - Education & Publishing

Adecco, New York, New York, us, 10261

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Senior Data Scientist - Education & Publishing Base pay range

$70.00/hr - $80.00/hr

For over a century, our clients organization has been a trusted partner to schools, educators, and families, inspiring a lifelong love of reading and learning in children around the world. We are looking for a

Senior Data Scientist

to join our analytics and technology team to help shape the future of how millions of young readers discover and access books.

In this role, you will design and build scalable data pipelines, develop predictive and machine learning models, and deliver actionable insights that drive our mission of connecting children with stories and resources that empower them to thrive.

Key Responsibilities

Develop and maintain robust

data pipelines

using SQL and Python (Pandas) to support analytics, business intelligence, and modeling initiatives.

Build, evaluate, and optimize

machine learning models

(e.g., XGBoost, Random Forest, and other algorithms) to solve high-impact business problems.

Deploy and monitor models in production environments, ideally leveraging

AWS SageMaker , Airflow, Docker, and Jupyter Notebooks.

Apply best practices in

version control and collaborative coding

using Git.

Partner with product, marketing, sales, and operations teams to translate business objectives into data science–driven solutions.

Present findings and recommendations in a clear, actionable way to both technical and non-technical stakeholders.

Required Qualifications

5+ years of experience in a

data science role

with demonstrated success applying ML techniques to real-world problems.

Strong expertise in

SQL

and

Python

(Pandas).

Hands-on experience with standard ML algorithms such as

XGBoost

and

Random Forest .

Experience deploying ML models to production (e.g., using Airflow and/or Docker).

Bachelor’s or Master’s degree in

economics, finance, computer science, mathematics, statistics, engineering , or other quantitative disciplines.

Preferred Qualifications

Forecasting experience using tools such as

AutoGluon

or

Darts .

Experience working with

AWS SageMaker

and

Jupyter Notebooks .

Knowledge of

PostgreSQL

and experience with customer data sets.

Experience with

Git

for collaborative coding.

Exposure to

LLM fine-tuning

for emerging AI applications.

This is a rare opportunity to combine advanced data science skills with a mission-driven focus—helping shape the way millions of children discover the joy of reading.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Analyst

Industries

Book and Periodical Publishing

Primary and Secondary Education

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