At a Glance
- Tasks: Design and deliver advanced machine learning models to enhance player engagement and growth.
- Company: Join Sony Interactive Entertainment, a leader in gaming innovation and inclusivity.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on diversity.
- Why this job: Shape the future of gaming with cutting-edge ML techniques and impactful strategies.
- Qualifications: Experience in ML solutions, strong Python and SQL skills, and a passion for data.
Role Overview: Senior Data Scientist on the CLV & Personalisation team shaping player value, engagement, and growth across the lifecycle.
Responsibilities:
- Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle.
- Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions.
- Partner with senior stakeholders to shape strategies and ensure Data Science drives high-impact decisions.
- Apply advanced ML techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance.
- Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability.
- Work within cross‑functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production‑ready, and aligned with long‑term architecture.
- Mentor other data scientists and contribute to best practices across the team.
- Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non‑technical audiences.
Qualifications:
- Proven industry experience delivering impactful, production‑ready ML solutions in areas such as customer value, retention, or personalisation.
- Strong expertise in modern ML approaches, including transformers, embeddings, or sequence‑based models applied to real‑world behavioural data.
- Ability to critically assess when advanced approaches are warranted versus simpler solutions.
- Experience owning projects end‑to‑end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions.
- Ability to work with large, complex datasets and translate them into scalable solutions.
- Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non‑technical audiences.
- Proficient in Python, SQL, and modern ML tooling (TensorFlow, PyTorch, MLlib, feature stores) and experience with PySpark or equivalent distributed data processing tools.
- A strong academic background, typically a Master’s or PhD in a technical or quantitative field specialising in Machine Learning.
- Experience deploying models into production and maintaining business‑critical or consumer‑facing models.
Nice to Have:
- Background in gaming, e‑commerce, or subscription‑based businesses.
- Industry experience with experimentation frameworks and causal inference.
- Experience working in agile, fast‑paced environments.
Senior Data Scientist - CLV & Personalisation employer: Dormont Manufacturing Co
At Sony Interactive Entertainment, we pride ourselves on being an exceptional employer, particularly for the Senior Data Scientist role in our vibrant and innovative environment. Our commitment to employee growth is evident through mentorship opportunities and collaboration with cross-functional teams, ensuring that your contributions directly impact player engagement and value. With a focus on inclusivity and diversity, we foster a culture where every voice is heard, making this an ideal place for those seeking meaningful and rewarding careers in the gaming industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - CLV & Personalisation
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We think you need these skills to ace Senior Data Scientist - CLV & Personalisation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
