Data Scientist 15J25

We are looking for a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will be responsible for deriving meaningful insights and developing data-driven solutions for various business challenges. The position demands a keen analytical mind, a robust understanding of statistical algorithms, data mining techniques, and predictive modeling. As a Data Scientist, you will work closely with cross-functional teams, including business analysts, software developers, and IT departments, to provide actionable insights that drive business strategy and enhance product performance. Your ability to communicate complex data in a clear and understandable manner is essential. If you are a critical thinker with a passion for discovering solutions hidden in large data sets, we would like to hear from you.

Responsibilities

• Develop and implement data models and algorithms to solve business problems.
• Analyze large volumes of data to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Design and build scalable machine learning models to improve decision-making processes.
• Create visualizations and dashboards to present analytical findings to stakeholders.
• Conduct thorough testing and validation of models to ensure accuracy and reliability.
• Evaluate and utilize statistical and data analysis tools to optimize performance.
• Monitor data integrity, and accuracy and improve data quality across systems.
• Stay updated with the latest trends and advancements in data science and machine learning.
• Develop data-driven strategies and approaches to support organizational goals.
• Mentor and provide guidance to junior data scientists and analysts.
• Communicate effectively with technical and non-technical team members.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong programming skills in Python, R, SQL, or other relevant languages.
• Experience with data manipulation, statistical analysis, and machine learning techniques.
• Proficient in data visualization tools such as Tableau, Power BI, or similar.
• Excellent problem-solving, critical thinking, and analytical abilities.
• Strong communication skills to effectively present complex data insights.