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For Companies At a Glance
- Tasks: Lead high-impact data science projects using SQL and Python to analyse and optimise advertising effectiveness.
- Company: Join a global, data-driven company known for its cutting-edge technology and innovative solutions.
- Benefits: Enjoy a competitive salary, great benefits, annual leave, and a valued position from day one.
- Why this job: Be part of a humble team creating revolutionary technology in the evolving converged TV sector.
- Qualifications: Experience in data science, advanced statistical techniques, and proficiency in Python and SQL required.
- Other info: This is a full-time role based in Edinburgh or Glasgow, perfect for tech-savvy individuals.
The predicted salary is between 28800 - 48000 £ per year.
Overview
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.
Responsibilities
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 prepare data, perform exploratory data analysis, evaluate different modeling approaches
- Engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise
- Investigate the data and make recommendations on solutions to client’s requirements
Qualifications
And should have experience of:
- Working in a Data Scientist role in a high value commercial environment
- Requirements gathering and idea generation
- 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)
Organization
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.
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Data Scientist employer: Okta Resourcing
Contact Detail:
Okta Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and libraries like NumPy and Pandas. Being able to discuss your experience with these tools in detail will show that you're well-prepared for the role.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of examples where you've tackled complex data issues. Be ready to explain your thought process and the impact of your solutions, as this aligns with the responsibilities of the position.
✨Tip Number 3
Research the company’s recent projects or innovations in data science. This knowledge will not only help you understand their work better but also allow you to ask insightful questions during interviews, demonstrating your genuine interest in the role.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider information about the company culture and expectations, which can be invaluable during your interview.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position. Familiarise yourself with the tools and techniques mentioned in the job description, such as SQL, Python, and data analysis methods.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in data wrangling, exploratory data analysis, and any specific libraries or tools mentioned, like NumPy or scikit-learn.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background makes you a great fit for the role. Mention specific projects or experiences that demonstrate your problem-solving abilities and familiarity with high-value commercial environments.
Showcase Your Projects: If applicable, include links to your portfolio or GitHub where you have showcased relevant projects. This could include examples of data analysis, modelling, or any contributions to open-source projects that demonstrate your skills and expertise.
How to prepare for a job interview at Okta Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python, especially libraries like NumPy, Pandas, and scikit-learn. Bring examples of past projects where you used these tools to solve real-world problems.
✨Understand the Business Impact
Research how data science can influence advertising effectiveness and dynamic creative optimisation. Be ready to explain how your work can drive business results and align with the company's goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to troubleshoot data issues or refine models, and be ready to walk through your thought process.
✨Demonstrate a Collaborative Mindset
This role requires working closely with others. Highlight your experience in gathering requirements and collaborating on projects. Show that you value teamwork and are eager to contribute to a humble, pragmatic organisation.
