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Description:
The Data Scientist role is crucial for leveraging data across the company to enhance commercial decisions and campaign management.
Responsibilities include analyzing complex datasets using advanced statistical methods and machine learning algorithms to extract actionable insights.
The position involves developing, testing, and deploying predictive models while ensuring scalability and optimal performance.
Collaboration with Data Engineers is essential to maintain data quality and consistency.
Key tasks include creating and optimizing features, building reusable data pipelines, and documenting processes and methodologies.
The role also requires refining existing models based on new data, mentoring junior team members, and promoting a collaborative, data-driven culture.
Requirements:
A Bachelor's degree or higher in Statistics, Mathematics, Data Science, or Data Engineering, focusing on Analytics, Artificial Intelligence, or Machine Learning is preferred.
A minimum of 4 years of experience as a Data Scientist, AI/ML Engineer, or Data Engineer, with proficiency in programming languages such as Python or R.
Strong knowledge of AI/ML frameworks and libraries, including Databricks MLOps, Microsoft Azure ML Studio, Amazon SageMaker, MLlib, MLOps, Scikit-learn, TensorFlow, Matplotlib, and Spark.
Excellent understanding of AWS or Azure data engineering pipelines, particularly AWS Glue, AWS Lambda, Azure Data Factory, Databricks, and Python (NumPy, Pandas).
Solid knowledge of database and dimensional modeling technologies is required.
Familiarity with Scrum and Agile practices is necessary.
Proven communication, analytical, and problem-solving skills are essential.
Benefits:
A flexible four-day Flexi-Week at full pay, with no reduction to your annual holiday allowance, prioritizing mental health and wellbeing.
A monthly remote working allowance to cover part of your running costs and support in setting up your remote workspace.
Flexi-Office options that promote an international culture and hybrid/remote work possibilities across Awin regions.
Meal vouchers to support a variety of lunches.
Health insurance covering several types of health, vision, and dental treatments for you and one additional family member.
Eligibility for a remote working furniture package after 3 months of employment to set up a proper workplace.
A peer-to-peer program to thank and reward colleagues with vouchers.