Offer summary

Qualifications:

Bachelor's degree in Data Science, Computer Science, Statistics, or a related field; a Master's degree is preferred., Proven experience as a Data Scientist or in a similar analytical role., Strong programming skills in Python or R, with proficiency in data manipulation libraries., Solid understanding of statistics, probability, and data-driven decision-making..

Key responsabilities:

Analyze and interpret complex data from diverse sources to inform strategic business decisions.

Develop and implement machine learning models and statistical analyses to solve business challenges.

Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business growth.

Visualize data through intuitive dashboards and reports to effectively communicate findings and insights.

Job 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:

Analyze and interpret complex data from diverse sources to inform strategic business decisions.
Develop and implement machine learning models and statistical analyses to solve business challenges.
Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business growth.
Visualize data through intuitive dashboards and reports to effectively communicate findings and insights to technical and non-technical stakeholders.
Stay updated on industry trends and best practices to continuously enhance the team’s analytical capabilities.
Write clear documentation on methodology, model interpretations, and implementation strategies.

Requirements

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

Benefits