6 jobs found

As a Senior Risk Engineer, you'll identify, plan, design and execute operational process reviews and reviews of system implementations, applications and other IT-related risk area while working cross-functionally and in collaboration with various teams including Engineering, Product Management, Operations and Finance.  You'll be interacting with subject matter experts across Alphabet to understand and communicate how key technology elements (i.e. code) address specific risks. Leading ad hoc analyses of data and developing repeatable methods to ensure a consistent result while contributing to Google's internal  knowledge base will be a core responsibility. Minimum qualifications: Bachelor's degree in MIS, Engineering, Computer Science, Mathematics, related field, or equivalent practical experience. 7 years experience in Risk Management, Audit, Compliance (MRC, ISO 27001, PCI, HIPAA, NIST, SOC, similar compliance frameworks), Systems Integration, Consulting, or related experience. Proficient in SQL and one of the following: Java, Python, C++, R, TensorFlow, Julia, Scala, MATLAB, SAS. Preferred qualifications: CISA/CISSP/PMP/CIA or related certification. Experience in technology consulting, system auditing, privacy, cyber-security, e-commerce, e-money licensing, digital/online advertising, cloud, online payment regulations, anti-money laundering, online media, entertainment, online content licensing royalty management, software development, supply chain systems/processes, hardware manufacturing, financial processes/systems, mergers and acquisitions, project systems integration, risk management, data analytics. Experience with internet technology from technical, regulatory, or commercial perspective. Ability to navigate complex systems and manage multiple projects. Ability to interact with SMEs to understand how code addresses risk. Ability to communicate across levels, set objectives, and drive results. About the job: Internal Audit‘s mission is to protect and enable growth across Alphabet, Google and our Bets with objective, practical insights. We do this by monitoring the risk environment across Alphabet and providing insights to enable effective risk management. We work closely with teams and leadership to achieve a strong control environment that enhances and protects organizational value. We serve as one of the company’s various lines of defense for staffing and developing our team to be control experts who deliver objective and reliable results. As a member of the team, you’ll advise the business and engineering groups to identify areas of risk and make valuable recommendations on controls. You’ll have the opportunity to influence change and decisions for business initiatives including product launches and system implementations. You enjoy working in a dynamic environment, are passionate about technology and are able to focus on key issues and the details that come with it. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know.

WHAT YOU’LL DO: To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. In this role, you will: collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers engineer new features by using your business acumen to find new ways to combine disparate data sources love to collaborate, coach and learn with a growing team of experienced Data Scientists stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.  

Economic Systems Inc. (EconSys) is an Equal Opportunity Employer seeking a Software Developer to join our team in Falls Church, VA. The Software Developer will help make a significant impact on our continuous efforts to build on our Human Resources Management enterprise system. Our cloud application enterprise system is FedRAMP program accredited. EconSys is celebrating almost 30 years in business and is continuing to have explosive growth! Our office is expanding, our customer numbers have increased, and you’ll find our products and services used by over 100 Federal agencies. With this increased business, we need help providing our Government customers with the best services and tools. Responsibilities: Writes highly optimized Java and SQL to contribute to the development of the application Assists in debugging critical issues affecting customers and communicates status to the support team Provides guidance to junior developers Documents code Performs code reviews to check for code optimization, code style, and enforce test-driven development methodologies Assists in evaluating new software development frameworks and technologies Requirements: US Citizenship (minimum requirement for client issued Public Trust) Able to obtain Public Trust (pass required credit and background check) 5+ years of working experience as a Full Stack Software Engineer Strong knowledge of software development using Java and Spring Able to create automated test scripts for functionality Expertise in HTML and CSS Experience in JavaScript , jQuery , JavaScript templating , js , and Node.js Knowledge of building API, web services, RESTful, and Elasticsearch Knowledge of Oracle database architecture with proficiency in SQL Able to work independently Experience: Handling live issues Writing JUnit tests Building automation using tools such as Jenkins , Gradle , Maven , or others Utilize Linux Administration, Splunk , Apache , Kafka , Puppet , Tomcat , or OSSEC Knowledge using Python, Scala, Ruby on Rails Education: Bachelor’s Degree Compensation: Includes competitive wages, paid holidays, vacation, sick leave, 401k matching, life insurance, health, vision, and dental benefits. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

External Job Description Description - External Research Analyst Economic Research Department Performs supporting economic research at an intermediate level. Prepares analysis in support of department projects. Uses database knowledge to compile statistical data and prepare reports and forecasts. Develops recommendations and presentations on topics studied. Contributes to multiple research teams. Possesses and applies broad knowledge of analytical concepts, practices and procedures to accomplish moderately difficult assignments. The level of work is considered intermediate and staff work under general supervision. This job has no direct reports. Principal Duties and Responsibilities Collaborates with analysts to define user requirements and conduct design review for the development of basic to medium of complexity applications using client server and/or Web technologies Develops basic to medium level of complexity Web and/or client server applications Assists in providing all required customer service and training for automated systems Resolves basic to medium level of complexity automation and/or data problems Identifies opportunities for process improvements and proposes solutions Performs analysis and projections of financial, economic or demographic data Compiles data, and prepares written reports, graphs and charts Conducts market research, trend analysis and prepares forecasts Uses and designs new analytical models, databases or applications Develops a variety of written materials for various audiences Frequently contributes to project teams Performs other duties as requested Education and Experience Bachelor's Degree or equivalent experience as noted below; major in economics, business, finance, or public policy preferred Minimum of 2-3 years of experience Knowledge and General Skills  Strong analytical and problem solving skills  Strong written and oral communication skills  Exceptionally strong interpersonal and teamwork skills  Demonstrated project management skills  Able to work on multiple projects at one time  Knowledge of business practices and statistical methods Specific Technical Skills Advanced MATLAB programming. Intermediate Stata, R, and Python programming. Intermediate SQL and Database Management. Intermediate LaTeX. Version Control and Test-driven development. Experience with Bloomberg, Haver, FRED Other Requirements Applicants must be U.S. Citizens or hold green cards with the intent to become a U.S. Citizen. As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules, which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies. If you or your spouse/domestic partner or minor child own such securities, and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting, who can provide you contact information for our ethics official if necessary. 

POSITION SUMMARY:  The Department of Economics and Business at Moravian College in Bethlehem, Pennsylvania, globally accredited by the Accreditation Council for Business Schools and Programs (ACBSP), invites applications for a full-time Assistant Professor of Practice in Predictive Analytics. The primary fields of teaching responsibilities will include courses in data science and analytics. The successful candidate has the ability to teach several of the following courses: applied statistics, research methodology, principles, and applications of analytics, machine learning, data visualization, and experiential data analytics. All candidates will have the ability to initiate and supervise interdisciplinary and applied projects. Areas of specialization span the broad range of analytics topics with an expectation for the use of analytics tools including Excel, R, Python, SAS, SPSS, Tableau, and others. A qualified candidate will have a genuine desire to teach data science and analytics, fully participate in a liberal arts environment and demonstrate: ability to mentor learners ability to work ethically and effectively as part of a collegial and collaborative team ability to model the intersection of theory and practice in data science ability to deal effectively with individual differences in ability, personality, and interests commitment to assessment and advising high emotional intelligence effective communicator to various audiences a strong commitment to teaching excellence a desire to participate in service including academic and co-curricular advising, and effective communication skills with a variety of audiences. Applicants will be willing to teach at the undergraduate (introductory through advanced levels) and graduate level. This role will be an integral part of our Master of Science in Predictive Analytics Program. Assistant Professors of practice are full-time, non-tenure eligible faculty. The standard teaching load is four courses (or equivalent) per semester. A course release may be offered each semester to complete administrative duties related to the Master of Science in Predictive Analytics program. This appointment is for a three-year term, renewable. All positions are subject to budget availability. QUALIFICATIONS:  An earned Ph.D. (or equivalent degree), advanced ABDs, and candidates with a Master's degree plus significant professional experience and professional certifications will be considered. Prior teaching experience in analytics is preferred. TO APPLY:  Qualified candidates should click the "Apply Now" button on this page to send a letter of interest, curriculum vita, graduate transcript and evidence of teaching effectiveness. Please attach documents as a PDF file. Qualified candidates should also arrange to have three (3) letters of recommendation sent. Review of applications will begin in December 2019 and continue until a finalist is identified.   (Moravian College will not sponsor applicants for this position for a U.S. work visa.) Founded in 1742, Moravian College is the sixth-oldest college in the country. Moravian is a private coeducational liberal arts college that is located in historic Bethlehem, in the heart of Pennsylvania's Lehigh Valley. Moravian is composed of a traditional undergraduate program, graduate, professional, and adult completion programs, and Moravian Theological Seminary. Moravian College is committed to enhancing the diversity of the college community and the curriculum. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths or experiences in this area. The Economics & Business Department's programs are nationally accredited by ACBSP. PHYSICAL DEMANDS: Occasionally required to remain seated in a normal position for long periods of time Regularly required to walk about Regularly required to maintain balance while walking, standing, crouching, or running Routinely required to reach up and out with hands and arms Regularly required to talk and hear; verbally express information or instructions Regularly required to use hands to grasp objects, type, pick up objects, move objects, or hold objects Routinely required to stoop, kneel, crouch, and/or crawl Regularly required to climb stairs and/or ladders Occasionally required to lift up to 25 pounds and carry a distance of 10 feet Occasionally required to push and/or pull up to 25 pounds a distance of 10 feet Routinely required to stand for long periods of time Close vision (clear vision at 20 inches or less) Depth perception and the ability to judge distances and spatial relationships Adjustable focus WORK ENVIRONMENT: The work environment characteristics described here are representative of those encountered while performing the essential functions of this job.The individual is routinely exposed to indoor conditions, minimum outdoor weather and temperature extremes, and moderate noise level. The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.

Sr. Data Analytics Consultant The Ohio State University Columbus, OH  Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement. The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts. The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team. The Sr. Data Analytics Consultant provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership. This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau. Required Qualifications: Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience. Five years of experience in a data analyst role. Experience with enterprise reporting tools (i.e. MS BI Suite). Two years of experience using SQL with preference to Microsoft T-SQL. Two years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.). Two years of experience visualizing and presenting data. If interested, please click the "Apply Now" button on this page. The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.