Job Role: Data Science Engineer
Location: NYC, NY and Princeton, NJ
Job Description Summary:
A well-rounded Data Science Engineer who will be responsible for conceptualizing solutions to provide meaningful insights on data leveraging data analytics, statistical modeling and machine learning. Should have a strong background in statistical modeling and techniques and data-science/ML concepts, techniques, methodologies and tools.
Should have the ability to interface with stakeholders and SMEs as well as work independently within a team of data analysts, engineers and scientists to achieve target outcomes.
Technical Skills Required:
Education: Bachelor s degree or higher in Statistics, Mathematics, Computer Science, Machine Learning, Economics, or any other related quantitative field. Working experience of the equivalent is also acceptable for this position.
Experience: A candidate for this position must have had at least 3 years of working experience working with data analytics/informatics and business outcomes research within a fast-paced and complex business setting, preferably working as a support data analyst. A candidate for this position must be technologically adept, demonstrate exceptionally good computer skills, and demonstrate a passion for research, statistics, and data analysis as well as a demonstrated ability and passion for designing and implementing successful data analysis solutions within a business.
The candidate must have a strong understanding of data-mining techniques and an ability to apply these techniques in practical real-world business issues. The Data Analyst will demonstrate an ability to consider data, identify patterns, issues, or data analysis needs for the business. The candidate must also have skills in the workings of SQL and scripting languages such as Python and Perl as well as familiarity with statistical analysis, data visualization, and data cleansing tools and techniques. (S)he will additionally demonstrate strong skill in statistical techniques inclusive of cluster-analysis test design, regressions, and forecasting methodologies as well as substantial familiarity in big data and standardizing and A/B testing.
Interpersonal Skills: The candidate must also demonstrate personal attributes that will qualify him for the position, for example, (s)he will have an ability to work effectively in a group/collaborative setting, be result oriented, be highly analytical, be a strategic and creative thinker, have superior organizational skills, have strong attention to details, have an ability to work on multiple projects and meet tight deadlines, have exceptional problem solving skills, and remain calm and composed in times of stress and uncertainty.