Staff Data Scientist

Harnham; New York (NY); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation package

Annual performance bonus

Retirement savings plan

Generous PTO

Career progression

Job summary

Harnham is partnering with a consumer technology company to build production machine learning systems with direct commercial impact. The Staff Data Scientist will lead data science initiatives from data prep to deployment, spanning recommendation systems, predictive modeling, experimentation, and optimization.

You will influence technical direction across Data Science, Product, and Engineering, building models that enhance customer experiences while advancing ML infrastructure and deployment

Qualifications

• Experience in Data Science or Machine Learning.
• Strong experience building and deploying production ML models using Python & SQL.
• Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Familiarity with data orchestration and transformation tools like dbt, Airflow, Spark.
• Strong statistical knowledge including experimentation and hypothesis testing.
• Experience with modern ML tooling such as MLflow, SageMaker, Ray, Spark.
• Comfortable writing production-quality software and collaborating with engineering teams.
• Excellent communication with technical and non-technical stakeholders.
• Experience in consumer technology or large-scale digital businesses.

Responsibilities

• Develop and deploy production ML models for personalization and optimization.
• Build scalable feature engineering pipelines on cloud data platforms.
• Design and analyze large-scale experiments to measure product performance and business impact.
• Partner with Product, Engineering, and business leaders to solve analytical problems.
• Deploy, monitor, and improve ML models in production.
• Champion best practices across model development, experimentation, and code quality.
• Contribute to ML infrastructure and deployment processes.
• Communicate technical findings and strategic recommendations to senior stakeholders.

Skills

Python

SQL

Data Warehouses

dbt

Airflow

Spark

Experimentation

ML tooling

Production software

Communication

Tools

Snowflake

BigQuery

Redshift

MLflow

SageMaker

Ray

Job description

Harnham is partnering with an innovative consumer technology company that leverages machine learning and advanced analytics to power intelligent digital experiences at scale. Operating across millions of daily user interactions, the business is investing heavily in AI and data science to optimize personalization, decision-making, and customer engagement.

They are seeking a Staff Data Scientist to join a highly technical team responsible for building production machine learning systems that have direct commercial impact.

THE COMPANY

Our client is a well-established technology organization with a large global customer footprint and a strong engineering culture. Data is central to every product decision, with teams focused on developing intelligent systems that improve customer outcomes through experimentation, predictive modeling, and real-time optimization.

You’ll join a collaborative environment where Data Science, Product, and Engineering work closely together to solve complex business challenges using modern machine learning techniques.

THE ROLE

As a Staff Data Scientist, you’ll lead the development of production machine learning solutions from data preparation through deployment and ongoing optimization.

Working across recommendation systems, predictive modeling, experimentation, and optimization, you’ll build models that directly influence customer experiences while helping establish technical direction across the wider Data Science organization.

RESPONSIBILITIES

• Develop and deploy production machine learning models for personalization, prediction, and optimization
• Build scalable feature engineering pipelines using modern cloud data platforms
• Design and analyze large-scale experiments to measure product performance and business impact.
• Partner with Product, Engineering, and business leaders to solve complex analytical problems.
• Deploy, monitor, and continuously improve machine learning models in production.
• Champion best practices across model development, experimentation, and code quality.
• Contribute to the evolution of machine learning infrastructure and deployment processes
• Communicate technical findings and strategic recommendations to senior stakeholders.

REQUIRED EXPERIENCE

• Prior experience in Data Science or Machine Learning
• Strong experience building and deploying production machine learning models using Python & SQL
• Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift
• Familiarity with data orchestration and transformation tools including dbt, Airflow, Spark, or similar technologies.
• Strong statistical knowledge including experimentation and hypothesis testing
• Experience working with modern ML tooling such as MLflow, SageMaker, Ray, Spark, or equivalent
• Comfortable writing production-quality software and collaborating closely with engineering teams
• Excellent communication skills with both technical and non-technical stakeholders preferred
• Experience within consumer technology, digital platforms, online marketplaces, financial services, e-commerce, advertising technology, or other large-scale digital businesses

BENEFITS

• Competitive compensation package
• Annual performance bonus
• Retirement savings plan
• Generous PTO
• Career progression within a high-impact Data Science organization