Associate Data Scientist

Job Description

The Associate Data Scientist will be responsible for analyzing large amounts of data and generating insights that will inform business decisions. This role will work closely with cross-functional teams to develop predictive models, analyze data, and create visualizations to communicate findings. The ideal candidate will be highly analytical, detail-oriented, and have a solid understanding of statistical methods. Major Responsibilites Work with cross-functional teams to identify and answer key business questions through data analysis and modeling Develop and implement predictive models using statistical and machine learning techniques Analyze data using tools such as Python, R, or SQL to identify trends and patterns Create data visualizations and reports to communicate findings to stakeholders Continuously monitor and refine models to ensure accuracy and effectiveness Collaborate with other data scientists and analysts to share knowledge and best practices Skills Algorithms Applied Mathematics Computer Science Python (Programming Language) Machine Learning Natural Language Processing (NLP) SciPy SQL Programming Language) Statistics Data Science Abilities Analytical and problem-solving skills ability Experience in statistical analysis and machine learning techniques Ability to work with large and complex data sets Knowledge of programming languages such as Python or R Understanding of database concepts and data management Ability to work independently and as part of a team Good communication and interpersonal skills Education & Experience Bachelor s degree in Computer Science, Statistics, Mathematics, or related field 1+ years of experience in data analysis or related field Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.