Data Scientist

You’ll be at the forefront of developing and deploying machine learning models, conducting in-depth data analysis, and collaborating with systems engineers to integrate AI solutions into real-world workflows.

LOCATION

New England

EMPLOYMENT TYPE

Permanent or Contract

You’re not satisfied with simply finding an answer – you want to understand why it works. A genuine curiosity about data, algorithms, and the underlying principles of machine learning is essential, along with a proactive desire to continuously expand your knowledge.

You approach challenges with a methodical mindset, breaking down complex problems into manageable components and leveraging your analytical abilities to identify creative solutions. You’re resourceful, able to find information independently, and aren't afraid to experiment.

You can clearly articulate technical concepts to both technical and non-technical audiences, fostering understanding and collaboration across teams. You’re a team player who actively shares knowledge and welcomes diverse perspectives.

The data science landscape is constantly evolving, and projects often encounter unexpected hurdles. We’re looking for individuals who are adaptable, embrace change, and maintain a positive attitude in the face of challenges.

You take pride in your work and are committed to delivering high-quality results. You’re proactive, self-motivated, and take ownership of your projects from inception to completion as you are driven by a desire to see solutions succeed.

You’ll be the first to dive into our clients' data, uncovering hidden patterns and insights through comprehensive exploratory data analysis (EDA).

You will build and evaluate machine learning models tailored to specific client needs, as well as experiment with various algorithms (regression, classification, clustering, etc.) and leverage your statistical expertise to select the most effective approach for each challenge.

Transforming raw data into features suitable for machine learning is crucial. You’ll be responsible for designing and implementing feature engineering pipelines, handling missing data, and ensuring data quality to maximize model performance.

You’ll oversee the entire model training process, utilizing appropriate techniques for cross-validation and hyperparameter tuning to optimize accuracy and generalization ability.

You’ll be responsible for presenting data insights, explaining model behavior, and providing actionable recommendations to clients and internal teams.

This role requires close collaboration with systems engineers to deploy models into production environments and ensure seamless integration with existing client workflows.