Negotiable
Undetermined
Remote
Remote
Summary: The Data Scientist role involves creatively using data to address business challenges and uncover transformative opportunities through advanced analytics and modeling techniques. The position requires significant travel across the US, with a focus on interpreting data insights to provide actionable recommendations. Candidates should possess strong programming skills and a collaborative spirit to effectively communicate complex ideas. An advanced degree in a quantitative field is essential for this position.
Key Responsibilities:
- Utilize data creatively to solve business challenges and identify new opportunities.
- Apply advanced analytics, quantitative tools, and modeling techniques to interpret data.
- Provide recommendations based on insights derived from data analysis.
- Travel 75-80% of the time, primarily on Mondays and Fridays.
- Collaborate with colleagues and clients to communicate complex ideas effectively.
Key Skills:
- Advanced degree in a quantitative field (computer science, engineering, physics, statistics, or applied mathematics).
- Familiarity with statistical and data-mining techniques.
- Strong knowledge of programming languages focused on machine learning and advanced analytics (R, Python, Scala).
- Experience with large data sets and relational databases.
- Excellent problem-solving skills and ability to analyze issues quickly.
Salary (Rate): £56,000 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Overview:
You ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you ll interpret and offer recommendations based on insights from the data.
Locations: Project locations will vary across the US, including remote but must reside in the US.
Travel: 75-80% travel required(every Monday & Friday)
Qualifications:
You re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch.
You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or
applied mathematics, and have:
- familiarity with statistical and data-mining techniques
- strong knowledge of programming languages, with a focus on machine learning and advanced analytics (such as R, Python, and Scala)
- experience working with large data sets and relational databases
- a collaborative spirit and the ability to communicate complex ideas effectively to both colleagues and clients
- excellent problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly