As a Senior Controls Test 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.
Jan 24, 2020
Full-time
As a Senior Controls Test 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
Dec 26, 2019
Full-time
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.
Dec 26, 2019
Full-time
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
Dec 26, 2019
Full-time
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
