5 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: In order 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 in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions. In this role, you will: Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems 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 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 degree 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 in a consumer, marketing, or media related role 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 & collaboration skills to understand business partner needs & deliver solutions Bias for action, with ability to deliver outstanding results through task prioritization & 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. Experience in digital marketing environment e.g. ad servers, web analytics, bid management Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization Experience working in business to consumer marketing Experience using data to tell a story and influence business decision makers

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.  

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.

The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.  This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles. Who is Equifax? Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally. Responsibilities: Develop and execute training strategy globally on new modelling approaches,  innovations, data assets, modelling applications and processes  Requires specialized depth and/or breadth of expertise to operate independently  Communicates difficult concepts and influences others to adopt a different point of view Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed Be the experienced practitioner on machine learning that others look to for guidance and education. Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Curate existing content from various sources like universities, commercial content providers, and publicly available material Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended) Position Requirements: Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering 7+ years’ modelling and analytics experience in the financial services area Experience developing models and scores with applications in risk and marketing Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning Ability to collaborate as a team player in a matrix organization Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers The Perks of being an Equifax Employee? We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To speak to us about this role in more detail apply online.