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- Tasks: Lead data modeling and analysis for sports forecasting products.
- Company: Join an innovative betting company in the heart of London.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make an impact in sports analytics while working with cutting-edge technology and a passionate team.
- Qualifications: 5+ years in sports betting analytics, advanced statistical modeling skills, and proficiency in Python.
- Other info: Ideal for those who thrive in a collaborative and fast-paced setting.
The predicted salary is between 48000 - 84000 £ per year.
BettingJobs are currently recruiting for a Senior NBA Data Scientist based in London for an innovative betting company.Responsibilities:Lead the development of models and supervise ad hoc analysis using a variety of data sources to solve tasks relevant to the business (e.g. supporting development of existing and/or new sports forecasting products)Extract meaningful insight from sports data using sound Mathematical/Statistical principlesCollaborate with and lead other members of the Data Science team to propose ideas and solve modelling problems relating to new/existing productsFollow typical development processes in terms of code management and structureLiaise with various teams around the business (including Model Engineering and Data Collection teams where appropriate) to assist with tasks relevant to the modelling teamRequirements:5+ years’ experience in sports betting/analytics industry in a quantitative or data science rolePossesses significant experience and a passion for statistical modelling of MLB or NBAAdvanced knowledge of statistical modelling and machine learning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents)Experience generating reports, dashboards and data visualisations to explain the results and behaviour of modelsExperience with concurrent development source control (GIT)Familiarity with SQL and experience working with relational databasesExcellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomouslyStrong problem-solving skills with a pragmatic and analytical outlook
Apply in 3 Minutes: Senior NBA Data Scientist employer: BettingJobs
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BettingJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Apply in 3 Minutes: Senior NBA Data Scientist
✨Tip Number 1
Make sure to showcase your experience in sports betting and analytics prominently. Highlight specific projects where you've developed statistical models for NBA or MLB, as this will resonate with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in sports data science and be ready to discuss them during your interview. This shows your passion for the field and your commitment to staying updated.
✨Tip Number 3
Prepare to demonstrate your technical skills, especially in Python and relevant libraries. Consider bringing examples of your work or discussing specific challenges you've overcome using these tools.
✨Tip Number 4
Network with professionals in the sports analytics community. Engaging with others in the field can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Apply in 3 Minutes: Senior NBA Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior NBA Data Scientist position. Understand the key responsibilities and requirements, especially the emphasis on statistical modeling and experience with Python libraries.
Tailor Your CV: Customize your CV to highlight relevant experience in sports betting and analytics. Focus on your 5+ years of experience and any specific projects that showcase your skills in statistical modeling and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for sports data science. Mention specific examples of how you've used statistical principles to solve problems in previous roles.
Highlight Technical Skills: In your application, emphasize your proficiency with tools and technologies mentioned in the job description, such as Python libraries (scikit-learn, xgboost), SQL, and GIT. Provide examples of how you've applied these skills in your work.
How to prepare for a job interview at BettingJobs
✨Showcase Your Statistical Modelling Skills
Be prepared to discuss your experience with statistical modelling, especially in the context of NBA or MLB. Highlight specific projects where you applied advanced techniques and the impact they had on the business.
✨Demonstrate Your Technical Proficiency
Familiarize yourself with the Python libraries mentioned in the job description, such as scikit-learn and xgboost. Be ready to explain how you've used these tools in past projects and how they can be applied to sports forecasting.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've successfully worked with cross-functional teams. Be ready to discuss how you communicated complex data insights to non-technical stakeholders.
✨Highlight Your Problem-Solving Approach
Expect questions that assess your problem-solving skills. Prepare to walk through a challenging modelling problem you faced, the steps you took to resolve it, and the outcome of your solution.
