Data Scientist

Job Description

We are seeking a talented Mid-Level Data Scientist to join our dynamic team. The ideal candidate will have a strong analytical background and the ability to translate complex data into actionable insights. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes, particularly within the retail sector . Responsibilities: Analyze large datasets to identify trends, patterns, and insights that drive business strategy. Develop and implement predictive models and statistical analyses to support decision-making. Conduct exploratory data analysis (EDA) to uncover meaningful insights and effectively communicate findings. Collaborate with stakeholders to define data requirements and deliver analytical solutions. Visualize data and present findings to non-technical audiences in a clear and compelling manner. Identify patterns, issues, and augmentation techniques to support ML engineers in building AI/ML models. Participate in the design and development of data pipelines using Spark and other big data technologies. Monitor and maintain the performance of deployed models and analytics solutions. Stay updated on industry trends and best practices in data science and big data technologies. Qualifications: Bachelor s degree in Data Science, Computer Science, Statistics, or a related field ( masters degree is a plus ). 3-5 years of experience in data science or a related role. Proficiency in programming languages such as Python, NumPy, Scikit-learn, TensorFlow, PyTorch, or Scala . Experience with big data technologies (eg, Hadoop, Spark). Strong understanding of statistical models and machine learning techniques . Strong EDA (Exploratory Data Analysis) capabilities with a knack for storytelling through data. Experience in the retail sector is highly desirable. Excellent problem-solving skills and attention to detail. Strong communication skills , with the ability to convey complex information effectively.