Data Scientist

TN United Kingdom; Oxford; On-site; GBP 45,000 - 60,000; Full time

Job summary

Join an innovative indie mobile gaming company as a Data Scientist, where your analytical skills will directly impact user experience and business performance. In this office-based role, you'll explore player behavior and develop decision models to enhance monetization strategies. Collaborate closely with the data insights team, utilizing advanced statistical techniques and data visualization tools to provide actionable insights. This forward-thinking company values work/life balance with a 'no overtime' policy and offers a generous bonus scheme, making it an exciting opportunity for gaming enthusiasts to thrive in a dynamic environment.

Benefits

Generous bonus scheme

Tickets to football matches

Occasional box seats at Wembley

Healthy work/life balance

No overtime policy

Possibility of sign-on bonus

Qualifications

• Experience in data science or game analytics in gaming or related industries.
• Strong passion for gaming, especially football games.

Responsibilities

• Conduct product analysis to improve user experience and monetization.
• Design and execute split-run experiments on player behavior.

Skills

Python

SQL

Statistical Analysis

Data Visualization

Data Modeling

Game Analytics

Education

Bachelor's Degree in Data Science or related field

Tools

Tableau

Qlik

PowerBI

Job description

Social network you want to login/join with:

Data Scientist - Gaming

Location: Oxford city centre, office-based role requirement

Remuneration: £45,000 - £60,000 plus a massive bonus potential, pension, healthcare, life assurance, gym membership, and support with relocation if needed.
(Please note - unfortunately, sponsorship cannot be offered for this position.)

Have you worked as a games analyst or a data scientist within the mobile gaming, free-to-play games, indie, or AAA games industry before?

Would you know how to set up and carry out analysis projects that explore player behavior, identify reasons for customer churn, and develop decision models to influence monetization strategies, translating these insights into actionable recommendations?

You will join an indie mobile gaming company with successful titles and support their data and insights team.

Reporting to the head of data science and working across all titles, including popular football games, your work will be varied due to the small size of the company, encompassing:

1. Product analysis to understand player behavior and assess the impact of updates, aiming to improve user experience and monetization.
2. Statistical analysis applying advanced data science techniques to strategies like churn prevention, pricing, and rewards, with a solid understanding of statistical significance.
3. Deep dive into game and commercial analytics to provide actionable insights and recommendations.
4. Designing and executing split-run experiments on the player base.
5. Creating data visualizations to communicate findings effectively to stakeholders.
6. Some data engineering tasks, mainly setting up data fields due to limited resources.

This role offers the chance to work on engaging projects aligned with your passion for gaming, directly impacting user experience and business performance.

What you can expect from the company:

• An environment promoting a healthy work/life balance with a 'no overtime' policy.
• A generous bonus scheme, potentially exceeding industry standards.
• Possibility of a sign-on bonus if a higher base salary is desired.
• Additional perks like tickets to football matches and occasional box seats at Wembley.

What they’re looking for from you:

• Must have commercial experience in data science or game analytics within the gaming or related industries like gambling or sports betting.
• A strong passion for gaming and/or football, especially football games.
• Proficiency in Python and SQL, with confidence in data modeling and statistical techniques, including significance testing.
• Experience with visualization tools such as Tableau, Qlik, or PowerBI.
• Curiosity about the 'why' behind data findings and analytics outputs.
• Comfort with fast-paced environments typical of indie gaming companies.