Requirements
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist or in a similar analytical role. Strong proficiency in programming languages such as Python or R, along with experience in data manipulation libraries (e.g., pandas, NumPy). Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras). Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively. Solid understanding of statistical analysis, modeling techniques, and validation methods. Excellent problem-solving skills and ability to work with large datasets. Strong communication skills to convey complex concepts to non-technical audiences. Ability to work independently and in a team-oriented environment. Experience with SQL and database management is a plus.
Description
Müller's Solutions is seeking a skilled Data Scientist for a 6-month contract position. In this role, you will utilize your expertise in machine learning, statistical analysis, and data modeling to extract meaningful insights from complex data sets. You will work collaboratively with cross-functional teams to develop predictive models and data-driven solutions that address business challenges and enhance organizational performance.Responsibilities: Analyze large and complex data sets to identify trends, patterns, and relationships. Develop and implement machine learning models to solve specific business problems. Collaborate with stakeholders to define data requirements and translate business needs into data science problems. Prepare data for analysis, including data cleaning, preprocessing, and transformation. Communicate findings and insights to stakeholders through reports, dashboards, and presentations. Stay current with advancements in data science, machine learning techniques, and industry best practices. Monitor and maintain existing predictive models, updating them as necessary. Participate in data governance and data quality initiatives to ensure data integrity.