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Data Scientist
2 months ago
We are a forward-thinking company that leverages data science to drive business success. Our team is passionate about unlocking the potential of data to inform strategic decisions and drive growth.
Job DescriptionJob Title: Data Scientist
Job Summary: We are seeking an experienced Data Scientist to join our team and contribute to our mission of harnessing the power of data to drive business growth.
Key Responsibilities:
- Data Collection and Management: Ensure data accuracy and integrity by overseeing data collection methods, warehousing, and pre-processing.
- Automate Data Processes: Develop automated data pipelines and workflows to streamline data processes and analyses.
- Data Visualisations: Create clear and informative visualisations to communicate complex findings to both technical and non-technical stakeholders.
- Collaboration: Work with domain experts, data analysts, product and commercial teams to understand business needs and deliver data science solutions.
Requirements:
- Experience: At least 2 years of experience in a commercial data scientist role with a focus area on drawing out intelligence, trends and key themes from diverse data sets.
- Qualifications: A degree or equivalent qualification in Data Science, Statistics, Marketing Analytics, or a related field.
Desirable Skills:
- Science / Life Science background: Preferred.
- Expertise in data mining, machine learning, statistical modelling relevant to sales and marketing: Essential.
- Experience in SQL, writing sophisticated queries and stored procedures, ideally within Snowflake: Essential.
- Proficiency in Python and hands on experience using relevant Python libraries for retrieving and transforming data: Essential.
- Experience working with relevant Python ML libraries: Essential.
- ETL, ELT of data from multiple sources and formats into final data store, ideally using DBT: Essential.
- Visualisation and dashboard creation skills (preferably in Tableau): Essential.
Essential Competencies and Behaviour:
- Strong analytical skills with a commercial mind-set, with a track record of producing high-quality models and meeting deadlines: Essential.
- Strong critical thinking and problem-solving skills, with an appreciation of data integrity: Essential.