Marketing Data Scientist

5 days ago

United Kingdom Hayward Hawk Full time

Data Scientist 
We are seeking a highly skilled and motivated Data Scientist to join our clients dynamic team. 
The ideal candidate will leverage data analytics, machine learning, and statistical modeling to drive actionable insights, solve complex business problems, and help guide strategic decision-making. 
You will work closely with cross-functional teams, including product, engineering, marketing, and operations, to influence key business outcomes through data-driven insights.
Data Analysis & Exploration: Design, develop, and implement machine learning models and statistical algorithms to solve key business challenges, improve efficiency, and optimize performance.
~Data Wrangling: Clean, preprocess, and transform raw data into structured formats that can be used for advanced analysis and modeling.
~Create intuitive and informative data visualizations using tools like Tableau, Power BI, or matplotlib to communicate insights to non-technical stakeholders.
~Collaboration: Work with cross-functional teams to identify data needs, create data pipelines, and contribute to end-to-end project development, including experimentation and A/B testing.
~Innovation & Research: Stay up-to-date with the latest techniques and technologies in data science and machine learning, and proactively integrate them into company processes.
~Present findings to senior management, making recommendations based on data analysis that directly impacts business decisions.
~Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
~Strong programming skills in Python, R, or similar languages.
~Proficiency in SQL and experience working with databases.
~Experience with machine learning libraries and frameworks (e.g., Hands-on experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
~Knowledge of cloud platforms (AWS, GCP, Azure) and distributed computing tools (Spark, Hadoop) is a plus.
~Solid understanding of statistical methods, hypothesis testing, and experimental design.


~Strong business acumen and understanding of how data impacts business strategies.


3+ years of experience in a data science role.
~Experience with big data technologies (Hadoop, Spark).
~Experience in A/B testing, causal inference, and other experimental design methodologies.

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