AppSierra Solutions - Data Scientist - Python/R/SQL

Job Description

Description We are seeking a highly skilled Data Scientist to join our innovative team. In this role, you will leverage your expertise in data analysis, statistical modeling, and machine learning to drive strategic decision-making and enhance our products. You will work closely with cross-functional teams, including engineers, product managers, and business analysts, to gather requirements and translate them into actionable data-driven insights. Your analytical capabilities will play a pivotal role in identifying trends, forecasting outcomes, and optimizing processes. The ideal candidate is passionate about transforming data into meaningful narratives and has a strong technical background complemented by excellent communication skills. As a Data Scientist, you will be responsible for designing experiments, developing predictive models, and implementing algorithms that improve user experience and operational efficiency. Your work will directly impact company initiatives and influence future innovations. If you are eager to solve complex problems, thrive in a dynamic environment, and contribute to a data-centric culture, we invite you to be a part of our journey as we harness the power of data to drive success and growth. Responsibilities Analyze large datasets to identify trends and patterns that can inform business decisions. Develop predictive models and machine learning algorithms to solve complex problems. Collaborate with cross-functional teams to define data requirements and business objectives. Design and implement experiments to test hypotheses and validate outcomes. Communicate findings and insights to technical and non-technical stakeholders through reports and presentations. Maintain and enhance existing data pipelines and ensure data quality. Stay updated with industry trends and advancements in data science techniques and tools. Requirements Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis, statistical modeling, and machine learning techniques. Strong proficiency in programming languages such as Python, R, or SQL. Familiarity with data visualization tools such as Tableau, Power BI, or similar. Experience with big data technologies such as Hadoop, Spark, or equivalent. Excellent problem-solving skills and the ability to work independently and in teams. Strong communication skills with the ability to present complex data insights to a diverse audience. (ref:hirist.tech) Show more Show less