Description:

Keller Executive Search is currently looking for a talented Data Scientist to join their dynamic team.
In this role, you will harness the power of data to derive insights and support key business decisions across a range of strategic initiatives.
You will be responsible for utilizing advanced statistical methods, machine learning algorithms, and data visualization techniques to tackle complex data challenges.
Your work will involve working with large datasets, conducting analyses, and presenting findings to stakeholders, enabling them to leverage data in their decision-making processes.
Key responsibilities include analyzing and interpreting complex data from diverse sources to inform strategic business decisions.
You will develop and implement machine learning models and statistical analyses to solve business challenges.
Collaboration with cross-functional teams to identify opportunities for leveraging data to drive business growth is essential.
You will visualize data through intuitive dashboards and reports to effectively communicate findings and insights to both technical and non-technical stakeholders.
Staying updated on industry trends and best practices to continuously enhance the team’s analytical capabilities is expected.
You will also write clear documentation on methodology, model interpretations, and implementation strategies.

Requirements:

A Bachelor's degree in Data Science, Computer Science, Statistics, or a related field is required; a Master's degree is preferred.
Proven experience as a Data Scientist or in a similar analytical role is necessary.
Strong programming skills in Python or R, with proficiency in data manipulation libraries such as Pandas and NumPy, are required.
Experience with machine learning frameworks like Scikit-Learn and TensorFlow, as well as data visualization tools such as Tableau and Matplotlib, is essential.
A solid understanding of statistics, probability, and data-driven decision-making is required.
Experience working with databases (SQL) and data warehousing solutions is necessary.
Strong problem-solving skills and the ability to work collaboratively within a team environment are essential.
Excellent written and verbal communication skills, with the ability to effectively present complex information, are required.
Proficiency in English is mandatory; knowledge of additional languages is a plus.
Experience in a specific industry sector relevant to the business is desirable.