Data Scientist

Okta Resourcing; City of Edinburgh; On-site; GBP 40,000 - 60,000; Full time

Job summary

A global, data-driven company is seeking a Data Scientist to deliver impactful data science solutions. This role involves leading projects, utilizing SQL and Python for data analysis, and applying statistical techniques to enhance advertising effectiveness. The organization offers a competitive salary and benefits, with a focus on innovation in the converged TV sector.

Benefits

Competitive salary

Great benefits

Annual leave

Qualifications

• Experience as a Data Scientist in a commercial environment.
• Proficiency in SQL and Python libraries for data analysis.
• Ability to apply advanced statistical techniques.

Responsibilities

• Lead high-impact data science projects.
• Prepare data and perform exploratory analysis using SQL/Python.
• Investigate data issues and recommend solutions.

Skills

Data wrangling

Exploratory data analysis

Modeling

Statistical techniques

Problem-solving

Data insights

Tools

Python

SQL

NumPy

Pandas

scikit-learn

Snowflake

Job description

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

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

The individual in this role will be asked to:

1. Lead high-impact projects throughout their lifecycle.
2. Scope and stage projects with detailed milestones and delivery schedules.
3. Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, and evaluate different modeling approaches.
4. Engage in problem-solving and fault-finding, addressing data or approach issues as they arise.
5. Investigate data and recommend solutions aligned with client requirements.

And should have experience of:

1. Working as a Data Scientist in a high-value commercial environment.
2. Requirements gathering and idea generation.
3. Defining problems and success criteria.
4. Data wrangling, exploratory data analysis, modeling, and interpreting results.
5. Providing relevant insights.
6. Applying advanced statistical and analytical techniques, including sampling methods, regression, properties of distributions, weighting sample-based data, and proper use of statistical tests in real-world applications.
7. Proficiency with Python libraries such as NumPy, SciPy, Pandas, scikit-learn, and others related to data and machine learning.
8. Working knowledge of SQL, data structures, and databases (Snowflake is desirable).

This organization is pragmatic and humble, seeking like-minded individuals to help deliver their revolutionary technology.

In return, they offer a competitive salary, great benefits, annual leave, and a valued role within the organization from day one, along with the chance to play a key role in creating a product that will be influential in the evolving converged TV sector.