Data Scientist

Newton Research; Coningsby; On-site; GBP 40,000 - 70,000; Full time

Job summary

A rapidly growing software start-up seeks a full-time Data Scientist to leverage advanced technologies for actionable business insights. The role involves developing data models, analyzing data, and mentoring team members in a dynamic environment. Candidates should possess strong mathematical and programming skills, with educational qualifications in related fields.

Qualifications

• Experience integrating advanced mathematics into business applications.
• Strong data visualization and communication skills.
• Demonstrated background in systematic thinking.

Responsibilities

• Develop production-level data models and algorithms.
• Collaborate with cross-functional teams and mentor other data scientists.
• Present findings to stakeholders.

Skills

Data Visualization

Statistical Analysis

Problem Solving

Python

SQL

Machine Learning

Deep Learning

Big Data Technologies

Cloud Computing

Education

Masters or Ph.D. in Physics, Mathematics, Computer Science, Statistics

Tools

Python Data Science Libraries

Git

Job 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 working with cutting edge technology including LLMs and generative AI. We build products that leverage advanced technologies to generate actionable business insights for our clients and partners.

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

• Experience integrating advanced mathematics and statistical models into business applications
• Strong capabilities to visualize and analyze data as well as ability communicate your results to both technical and non-technical audiences
• Demonstrated background in problem solving and systematic thinking.
• Proficient in Python and its associated data science libraries (e.g., pandas, sci-kit learn)
• Experience writing SQL queries and working with both relational and non-relational databases
• Comfort using modern software development tools and best practices (e.g., git, IDEs, code reviews)
• Experience using machine learning and deep learning algorithms in applications settings
• Experience in machine learning and deep learning
• Experience with big data technologies and cloud computing platforms
• Masters or Ph.D. in Physics, Mathematics, Computer Science, Statistics, or related field
• Experience in media, marketing, advertising or a related industry is a plus
• Experience working with product, engineering and/or client-facing teams is a plus

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