Lead Senior MLB Data Scientist Position
1 week ago
We are looking for a seasoned Lead Senior MLB Data Scientist to lead our Data Science team at BettingJobs in London. The successful candidate will be responsible for developing and implementing advanced data models, analyzing complex data sets, and collaborating with cross-functional teams to drive business growth and improve decision-making.
In this critical role, you will work closely with our data engineering team to design and implement scalable data pipelines, develop and deploy machine learning models using popular libraries like scikit-learn, xgboost, tensorflow, pymc3, and statsmodels, and ensure high-quality data delivery to stakeholders.
Key Responsibilities:
* Develop and implement data-driven solutions to drive business growth and improve decision-making
* Collaborate with cross-functional teams to design and implement scalable data pipelines and machine learning models
* Ensure high-quality data delivery to stakeholders through data validation, quality control, and metadata management
* Stay up-to-date with emerging trends and technologies in data science and machine learning
* Mentor junior team members and contribute to the development of the team's expertise
Estimate Salary
Based on industry standards and location, we estimate the salary for this position to be around £80,000 - £110,000 per annum, depending on experience. This figure includes a base salary and potential bonuses based on performance.
Education and Requirements
To succeed in this role, you will need:
* A Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
* At least 8 years of experience in data science, data engineering, or a related field
* Strong knowledge of data science concepts and methodologies, including statistical modeling, machine learning, and data visualization
* Proficiency in programming languages such as Python, R, or SQL
* Experience with data engineering tools and technologies, including AWS, GCP, or Azure
* Strong communication, presentation, documentation, and time management skills
What We Offer
We offer a competitive benefits package, including:
* Comprehensive health insurance
* Generous pension scheme
* Flexible working hours and remote work options
* Access to professional development opportunities and training resources
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