美国最新DATA岗位职位来袭

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1

Intern – Machine Learning & Data Science

Job Type: Internship Location:  Cambridge, MA

Responsibilities • Data curation and developing machine learning models for therapy decision support • Evaluating and validating model results on test datasets • Summarizing and reporting results in the form of a scientific paper and presentation. Qualifications • Current Ph.D. or M.S. candidate in Computer Science, Biomedical Engineering, or Statistics • Proficient in machine/ deep learning • Experience in working with SQL databases & Apache Spark • Knowledge of Python programming language. • Ability to work independently, as well as part of a team • Good communication & presentation skills

2

Big Data Intern

Job Type: Internship Location: Allen, Texas

Responsibilities • Perform analysis and software development for our products associated with our big data analytical platform • Perform hands-on development and programming to deliver key products on Ascend platform • Contribute in design discussions and architectural guilds to understand the end-to-end architecture of platform and products designed • Work closely in AWS environment collaborating with infrastructure and corporate IT teams • Present in biweekly sprint demos and showcase developed functionality to larger platform engineering group • Partner with different team members to gain understanding of business requirements and key product/program questions • Receives general supervision and guidance from more experienced team members • Follow platform engineering processes, procedures and client requirements; recommend and/or implement improvements/ solutions to identify efficiencies • Participate in Internship Program activities and events to include: onboarding, product demos , educational activities, information sessions, and social events • Collaborate with Engineering Managers, Scrum Masters and SME’s to develop critical platform components in an Agile environment Qualifications • Understanding of technology, passion, curiosity to solve business problems leveraging technology • Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement • Hands-on programming experience with Hadoop, HDFS, Python, PySpark, Apache, R, SQL, Hive etc. • Strong understanding of databases, DB2, MySQL, SQL etc. • Strong understanding of AWS concepts and knowledge and cloud fundamentals is critical • Strong project management and organizational skills • Strong understanding of ETL, data transfer protocols, web solutions, middleware and integrations, API’s etc. • Experience supporting and working with cross-functional teams in a dynamic environment • Strong written and verbal communications skills • Strong attention to detail; high degree of quality orientation • Ability to take direction from multiple people; ability to flex to the work styles of others • Ability to be a collaborative team player in a fast paced/changing environment; self-motivated and directed • Strong technical aptitude • Proficiency in Microsoft Office software applications, such as Word, Excel, Access, Project and PowerPoint • Understanding of data analytics domain and financial services industry is a plus

3

Data Scientist

Job Type: Full-time Location:  DULUTH, CHICAGO, OR LOUISVILLE

Responsibilities • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning • Translates real-world Healthcare problems to mathematical frameworks • Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role • Understands, organizes, and communicates root causes of problems and successes succinctly Qualifications • Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods • Complete familiarity with empirical approaches to estimate performance of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing • Understanding of orders of algorithms and how they scale • Demonstrated competency in R/Python predictive modeling • Demonstrated competency in RDBMS (e.g. SQL Server) • Ability to code in 1+ general purpose programming language (C#, Java, etc.) • Must be a quick-learner with the ability to multi-task in a fast-paced environment • Outstanding presentation abilities and the ability to communicate with all levels of the Business • Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills • Outstanding communication and interpersonal skills • Must possess strong analytical, problem-solving, and writing skills • Proficient in Microsoft Office applications • Detail-oriented • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred • An aptitude for medical informatics is preferred

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