The company is seeking a highly skilled Data Scientist to join their team and contribute to solving clients' important challenges.
The role involves analyzing large amounts of raw data to extract valuable insights, building machine learning models, and supporting data-driven decision-making processes across the organization.
The Data Scientist will collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to turn data into actionable strategies that drive business outcomes.
Key responsibilities include data analysis and exploration, machine learning and predictive modeling, business problem-solving, data visualization and reporting, data wrangling and preparation, statistical and mathematical modeling, and collaboration with stakeholders.
Requirements:
A Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field is required; a Ph.D. is a plus.
Proven experience of 3+ years as a Data Scientist, Machine Learning Engineer, or in a similar role is essential.
Strong proficiency in programming languages such as Python or R for data analysis, with experience in libraries like pandas, NumPy, scikit-learn, and TensorFlow/PyTorch is required.
A solid understanding of statistical analysis and experience in applying techniques like regression, hypothesis testing, and multivariate analysis is necessary.
Hands-on experience with machine learning algorithms (classification, clustering, regression, deep learning) is required.
Proficiency with SQL for querying large datasets and relational databases is essential.
Familiarity with data visualization tools such as Tableau, Power BI, or visualization libraries in Python (matplotlib, Seaborn) is required.
Experience with big data technologies such as Hadoop, Spark, or distributed computing frameworks is necessary.
A strong understanding of data preprocessing, feature engineering, and data pipeline development is required.
Benefits:
The company offers industry-leading compensation and benefits, along with top training and development opportunities to help employees grow their careers and achieve personal ambitions.
Employees will be part of a dynamic organization with a culture that is inclusive and entrepreneurial.
The opportunity to work with innovative technological solutions in the modern data ecosystem is provided.
The company has been recognized for its exceptional standards in employee conditions and has received accolades for being one of the top firms to work for in Europe.
