Data Scientist

ZipRecruiter; City of Edinburgh; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading company is seeking a Data Scientist to join their team in Edinburgh. This role focuses on delivering data-driven solutions to enhance advertising effectiveness and optimize dynamic creatives. Ideal candidates will have strong experience in statistical methods, data analysis, and proficiency in tools like SQL and Python.

Benefits

Competitive salary

Great benefits

Annual leave

Qualifications

• Experience as a Data Scientist in a commercial setting.
• Familiarity with statistical techniques and data analysis.
• Proficiency in SQL and Python libraries for data science.

Responsibilities

• Lead high-impact data science projects.
• Perform data analysis, modeling, and provide insights.
• Address issues with data and methodologies.

Skills

Data wrangling

Exploratory Data Analysis (EDA)

Statistical analysis

Problem-solving

Python

Tools

SQL

Python - NumPy, SciPy, Pandas, MLlib, scikit-learn

Snowflake

Job description

Job Description

This is a new position for a Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator.

The focus of this role is to deliver data science solutions which impact in areas such as the effectiveness of advertising and the optimisation of dynamic creatives.

The individual in this role will be asked to:

• Take the lead on the life cycle, high-impact projects
• Scope and stage projects to include detailed milestones and delivery schedules.
• Use SQL and/or Python (JupyterNotebooks) to preparedata, perform exploratory data analysis, evaluate different modeling approaches.
• Engage in problem-solving, fault-finding, addressing issuesin the data or approaches as they arise.
• Investigate the data and make recommendations on solutions to client’s requirements.

And should have experience of:

• Working in a Data Scientist role in a high value commercial environment.
• Requirements gathering and idea
• Defining problems (and criteria for success),
• Data wrangling, EDA, modeling and interpreting results
• Providing relevant insights
• Advanced statistical and analytical techniques and concepts sampling methods,
• Regression
• Properties of distributions
• Weighting sample-based data
• Statistical tests proper usage
• Real-world applications.
• Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries
• Working knowledge of SQL, data structures and databases (Snowflake - desirable)

This is a pragmatic and humble organisation who are looking for like minded people to help them deliver their revolutionary technology.

In return for sharing your talent and dedication, they offer a Competitive salary, great benefits and annual leave together with a position of value within the organisation from day one, and the chance to have a key role in creating a product which will play a defining role in the continuously evolving converged TV sector.