Data Scientist

Newton Research; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Newton Research in Needham, MA is hiring a Data Scientist to build production-ready data models and algorithms. You will analyze data, design experiments, and interpret results to drive business insights.

You will collaborate with cross-functional teams, mentor junior data scientists, and present findings to stakeholders in a fast-paced startup environment.

Qualifications

• Master’s or PhD in Mathematics, Physics, CS, or related field.
• Strong data analysis, modeling, and ML concepts.
• Proficiency in Python and data science libraries.

Responsibilities

• Develop production-level data models and algorithms.
• Analyze data, design experiments, and interpret results.
• Collaborate with cross-functional teams and mentor others.

Skills

Python

Data analysis

Statistical modeling

Machine learning

SQL

Communication

Education

Master’s or PhD in Mathematics/Physics/CS or related field

Tools

pandas

scikit-learn

SQL

Job description

Data Scientist

Company Description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products to generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

This is a full-time Data Scientist role with Newton Research, Inc. This role requires the candidate to work at our offices in Needham, MA. The Data Scientist will be responsible for developing production-level data models and algorithms, analyzing data, designing experiments, and interpreting results. The role will also involve collaborating with cross-functional teams, mentoring other data scientists, and presenting findings to stakeholders. We value self-motivated individuals who enjoy working on small teams in a dynamic and fast-changing environment.

Qualifications

• Master’s or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline.
• Strong foundation in data analysis, statistical modeling, and machine learning concepts.
• Proficiency in Python, including familiarity with data science libraries like pandas and scikit-learn.
• Experience writing SQL queries and working with relational databases.
• Demonstrated ability to approach data challenges systematically and creatively.
• Ability to clearly explain technical concepts to both technical and non-technical audiences.
• Willingness to learn and grow in a fast-paced, dynamic startup environment.
• Familiarity with big data technologies or cloud computing platforms is a plus.
• Experience in projects or internships involving collaboration with teams is a plus.
• Experience in media, marketing, advertising, or related industries is a plus.