Are you a highly skilled and experienced Data Scientist looking for a new challenge? Do you have a passion for using data to drive business decisions and impact real-world outcomes? If so, we have an exciting opportunity for you to join our team as a Senior Data Scientist II at Relx!As a Senior Data Scientist II, you will play a crucial role in our organization by using your advanced analytical skills and deep understanding of data to provide insights and solutions to complex business problems. You will work closely with cross-functional teams to identify and implement data-driven solutions that drive growth and innovation.To excel in this role, you must have a proven track record of delivering impactful data science projects and the ability to effectively communicate complex findings to both technical and non-technical stakeholders. You should also possess a strong background in statistics, machine learning, and programming languages such as Python or R.If you are a self-motivated, creative thinker with a strong business acumen and a passion for data and analytics, we encourage you to apply for this exciting opportunity to join our dynamic team at Relx.
- Conduct data analysis and use statistical techniques to identify trends, patterns, and insights that drive business decisions.
- Develop and implement predictive models and algorithms to forecast business outcomes and identify areas for improvement.
- Collaborate with cross-functional teams to identify and prioritize business problems that can be solved using data science.
- Use advanced data mining techniques to gather, clean, and manipulate large datasets.
- Communicate complex findings and technical information to non-technical stakeholders in a clear and concise manner.
- Stay up-to-date with industry trends and advancements in data science and proactively suggest new approaches and techniques for solving business problems.
- Lead and mentor junior data scientists and provide guidance on best practices and methodologies.
- Work closely with business leaders to understand their needs and provide data-driven solutions that drive growth and innovation.
- Collaborate with IT teams to ensure data is accurate, secure, and accessible for analysis.
- Identify and implement process improvements to streamline data collection, analysis, and reporting.
- Develop and maintain data science tools and platforms to support efficient and effective data analysis.
- Participate in the development and execution of data science projects, from ideation to implementation.
- Conduct research and experiments to test new data science techniques and algorithms.
- Analyze and interpret results from experiments and provide actionable insights to stakeholders.
- Adhere to data privacy and security policies and ensure compliance with relevant regulations.
Advanced Degree In A Relevant Field Such As Computer Science, Statistics, Or Mathematics.
Minimum Of 7 Years Of Experience In Data Science, With A Focus On Machine Learning And Predictive Modeling.
Expertise In Programming Languages Such As R, Python, And Sql, As Well As Experience With Data Visualization Tools.
Strong Understanding Of Database Structures And Data Management Principles.
Proven Track Record Of Successfully Leading And Managing Complex Data Science Projects, As Well As Mentoring And Coaching Junior Team Members.
statistical analysis
Machine Learning
Deep Learning
Data Visualization
Natural language processing
Data Mining
Predictive modeling
Time series analysis
Python programming
R programming
Big Data Analytics
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Scientist II in Mexico is between MXN$1,200,000 to MXN$1,800,000 per year. This may vary depending on the specific industry, company, and individual's experience and skills.
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RELX plc is a British corporate group comprising companies that publish scientific, technical and medical material, and legal textbooks; provide decision-making tools; and organise exhibitions. It operates in 40 countries and serves customers in over 180 nations.

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