Data Science

Abz Corporation

نومبر ۰۷, ۲۰۲۴ شائع ہوئی 229 نے دیکھا Report Job

PKR. 200,000 - 200,000/Month

Abz Corporation is seeking a motivated and detail-oriented Data Scientist to join our dynamic team. This entry-level position is perfect for individuals passionate about leveraging data to drive decision-making and business performance. As a Data Scientist, you will engage in statistical analysis, machine learning, and data visualization to extract insights from complex data sets. You will work with tools and technologies, including Python and Big Data frameworks, to conduct data wrangling and mining that influences company strategies and enhances operational efficiencies. Although this role does not involve managing a team, it offers the opportunity to collaborate with various departments, contributing to projects that require close attention to detail and innovative thinking. No prior experience is required, making it an excellent starting point for those eager to grow within the field of data science. We value enthusiasm and a willingness to learn as key attributes for success in this role, encouraging candidates to apply regardless of background and education in data-related fields.
Responsibilities

Apply statistical analysis techniques to understand data patterns and insights.
Develop and implement machine learning models to enhance prediction accuracy.
Visualize data through effective and compelling graphical representations for easy comprehension.
Utilize Python programming language to process and analyze large sets of data efficiently.
Explore and analyze big data technologies to improve data handling and processing speeds.
Conduct data wrangling to clean and transform raw data into usable formats.
Perform data mining to extract relevant information and discover hidden correlations.
Collaborate with cross-functional teams to understand data needs and integrate findings into business strategies.
Participate in data collection and preparation, ensuring high-quality data for analysis.
Stay updated with industry trends and advancements in data science methodologies and technologies.