Remote Data Scientist

Description:

• The purpose of the Data Scientist position is to leverage data across the company to enhance commercial decisions and provide excellent campaign management.
• Responsibilities include using advanced statistical methods and machine learning algorithms to analyze complex datasets and extract actionable insights.
• The role 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 analyzing datasets, developing and optimizing models, cleaning and structuring data, creating reusable data pipelines, documenting processes, and mentoring junior team members.

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, 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 provide an international culture and flexibility through hybrid/remote work possibilities.
• Meal vouchers to support lunches with a certain net sum provided.
• Health and wellbeing insurance covering various 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.