Data Scientist

JR United Kingdom; 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. The role involves leading projects, utilizing SQL and Python for data analysis, and applying advanced statistical techniques. This position offers a competitive salary and great benefits, contributing to innovative technology in the converged TV sector.

Benefits

Competitive salary

Great benefits

Annual leave

Valued position from day one

Qualifications

• Experience as a Data Scientist in a commercial environment.
• Proficiency in Python libraries related to data and machine learning.
• Working knowledge of SQL and databases.

Responsibilities

• Lead high-impact projects through their lifecycle.
• Use SQL and/or Python for data preparation and analysis.
• Investigate data and recommend solutions based on client requirements.

Skills

Data wrangling

Exploratory data analysis

Modeling

Statistical techniques

Problem-solving

Python

SQL

Tools

NumPy

SciPy

Pandas

scikit-learn

Snowflake

Job description

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

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

The individual in this role will be asked to:

1. Lead high-impact projects through 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 based on client requirements.

And should have experience of:

1. Working as a Data Scientist in a high-value commercial environment.
2. Gathering requirements and generating ideas.
3. Defining problems and success criteria.
4. Data wrangling, exploratory data analysis, modeling, and interpreting results.
5. Applying advanced statistical and analytical techniques, including sampling methods, regression, properties of distributions, weighting sample-based data, and proper use of statistical tests.
6. Real-world applications of these techniques.
7. Proficiency in 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 experience is desirable).

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

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