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: 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.  

WHAT YOU’LL DO: As an Analytic Architect, you will be responsible to drive the discovery, design and execution of a wide variety of analytic technology solutions. The Analytic Architect will provide leadership, strategic decision-making, and guidance within technical disciplines, responding to disruptive analytic technologies and solving unique and complex problems. S/he researches, architects, and defines Analytic, Advanced Analytics & Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals. In this role you will: Design end to end analytic workflows, including overall architecture, capabilities, platforms, tools & governing processes Create, maintain & communicate positioning/go-forward strategies for analytic capabilities/tools Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Help define/improve best practices, guidelines & integration with other enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Create & evolve analytic technology roadmap, to align with continuously evolving business needs Monitor technology trends & performs discovery of any new tools/capabilities of interest Benchmark analytic capabilities with Industry analysts and other companies Own strategic technology relationships with technology vendors & external communities/partners Lead education & training for analytics community WHO YOU ARE 10 years of experience demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5+ years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating point-of-views, technology roadmaps, process diagrams Hands-on experience working with open-source analytic technologies like R/Python, Kubernetes, Tensorflow and/or BI tools like Tableau/Power BI and data architecture concepts (OLAP, etc.) Experience in Agile Development, with specific Solution Architect (or similar) experience preferred Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.) WHAT’S NICE TO HAVE Cloud analytics platform experience preferred

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. 

Biostatistician responsibilities include, but are not limited to, the following: Performs data analysis and statistical evaluations Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing Ensures the statistical validity of study activities by solving problems occurring in the data collection process Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC) The ideal candidate would possess: Knowledge of SAS, SATA, and R statistical software packages Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression Strong computer, scientific, and organizational skills Excellent communication (oral and written) and attention to detail Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude Basic Minimum Qualifications: Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field At least 2 years’ experience analyzing and interpreting biostatistical data Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed.  Candidates currently living within a commutable distance of Melville, New York are encouraged to apply. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work.  We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.