Data Scientist responsible for analyzing complex data sets and developing methods to create actionable insights. Collaborate with engineering teams to improve data quality and deliver business value.
About the role
- Data Scientist specializing in data analysis and predictive modeling at a digital services company. Join us in analyzing datasets and deriving actionable insights for business decisions.
Responsibilities
- We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions.
Requirements
- Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling.
- Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying.
- Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
- Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow).
- Strong analytical skills and the ability to work with large datasets to extract meaningful information.
- Experience in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving abilities and strong communication skills to present findings effectively.
- A degree in Computer Science, Mathematics, Statistics, or a related field is preferred.
Benefits
- **About Us**
- We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at [email protected].
- Also follow our LinkedIn page for new job opportunities and more.
- Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.
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