What You'll do:
As a Lead Security Data Scientist on the Duo AI and Security Research team, you will build systems to detect, mitigate, and prevent identity cyber threats affecting our customers. You will collaborate with teams in the Data Science & Engineering organization to improve our existing Trust Monitor and Risk-based Authentication systems, while working to develop the next generation of machine learning and data driven enhancements for Duo's product. You will combine knowledge of Data Science with curiosity about adversarial techniques to help deliver best-in-class security outcomes.
Responsibilities include:
Develop, evaluate, and refine algorithms for detecting cyber threats in large scale customer telemetry
Collaborate with Product, Engineering, and Design teams to implement systems for real-time mitigation of detected threats
Investigate the latest tactics, techniques, and procedures in identity security in conjunction with threat intelligence teams in Cisco Talos
Lead the construction of labeled threat datasets and guide their use in machine learning applications
Understand the link between access and authentication policies and security outcomes and design algorithms to guide customers to improve their security posture
Represent a Data Science perspective during product development, helping teams appropriately prioritize data collection, feedback loops, and other prerequisites for future data work
Minimum Experience Required for this Role:
6+ years professional experience in data science, analytics, or quantitative intelligence analysis
4+ years experience in at least one data analysis and modeling language (like Python or R), including at least 2+ years experience with Python
Query and data analysis preparation using query languages such as SQL
Developing statistical and/or machine learning models in a business setting
Leading applied research within a team and/or experience mentoring junior data scientists #J-18808-Ljbffr

Application window is expected to close 8/16/2024. Duo + Cisco = Disco! With the Most Loved Company in Security and the global leader in network technology joining forces, there are more exciting opportunities than ever to be at the forefront of securing the cloud. Our mission is simple: democratize security by making it easy and effective for everyone. We're transforming security from the ground up by solving the world's most pressing geopolitical challenge - safe, secure information access. We engineer our business to enable our customers to easily address their ever-evolving security challenges. We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high-impact teams. We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded!) for hard work. We champion a healthy work-life balance. We're kinder than necessary. Together we build for the future by designing simple solutions for complex problems. What You'll do: As a Lead Security Data Scientist on the Duo AI and Security Research team, you will build systems to detect, mitigate, and prevent identity cyber threats affecting our customers. You will collaborate with teams in the Data Science & Engineering organization to improve our existing Trust Monitor and Risk-based Authentication systems, while working to develop the next generation of machine learning and data driven enhancements for Duo's product. You will combine knowledge of Data Science with curiosity about adversarial techniques to help deliver best-in-class security outcomes. Responsibilities include: <ul> <li>Develop, evaluate, and refine algorithms for detecting cyber threats in large scale customer telemetry </li><li>Collaborate with Product, Engineering, and Design teams to implement systems for real-time mitigation of detected threats </li><li>Investigate the latest tactics, techniques, and procedures in identity security in conjunction with threat intelligence teams in Cisco Talos </li><li>Lead the construction of labeled threat datasets and guide their use in machine learning applications </li><li>Understand the link between access and authentication policies and security outcomes and design algorithms to guide customers to improve their security posture </li><li>Represent a Data Science perspective during product development, helping teams appropriately prioritize data collection, feedback loops, and other prerequisites for future data work </li></ul> Minimum Experience Required for this Role: <ul> <li>6+ years professional experience in data science, analytics, or quantitative intelligence analysis </li><li>4+ years experience in at least one data analysis and modeling language (like Python or R), including at least 2+ years experience with Python </li><li>Query and data analysis preparation using query languages such as SQL </li><li>Developing statistical and/or machine learning models in a business setting </li><li>Leading applied research within a team and/or experience mentoring junior data scientists </li></ul> Preferred Experience: <ul> <li>Application of data science tools to tackle problems in the security domain </li><li>Graduate level education in statistics, data science, machine learning, computational sciences or similar </li><li>Software Engineering training or experience, and comfort working with the AWS ecosystem </li><li>Experience with large-scale data processing frameworks such as Spark </li><li>Experience working on a customer-facing SaaS product </li><li>Prioritizing and planning research work with collaborators such as engineering, product, and design teams </li></ul> Why Cisco Secure: We're global, we're adaptable, we're diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we're missing is YOU. Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do. We're proud to be the Best Small and Mid-Size Enterprises Security Solution Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we're excited to see the new heights we'll reach with your passion for security, your customer focus, and your desire to change things up! There are so many amazing reasons to join Cisco. Learn more here!

The Services and Logistics (S&L) Data, Insights, and Analytics team is passionate about all things data-related! Our team provides business analytics services, including self-service access to data via Snowflake, federated dashboard development via PowerBI and Tableau, and practical business insights through data analysis and data science projects. We are currently seeking an expert data scientist to join our team, focusing on predictive modeling and developing analytics-based decision support for our S&L business. What You'll Do Complete full lifecycle projects, including problem identification, data collection, data and feature engineering, data modeling, model deployment, insight sharing, and executive-level presentations.
Solve supply chain business problems and test hypotheses related to supply chain opportunities.
Provide solutions across several business functions, including demand planning, repair operations, inventory management, logistics, and product quality as a shared-service team member.
Apply appropriate analytics techniques for operations research, machine learning, or advanced data science algorithms.
Synthesize and apply relevant insights from industry and academic literature to Cisco problems.
Develop decision support systems, tools, and models to improve Cisco Service and Logistics capabilities. Who You'll Work With Join our team of data scientists, business intelligence analysts, data stewards, and IT experts, working collaboratively with cross-functional business clients. Your analysis and recommendations will be delivered to senior operations leaders, directors, and vice presidents across multiple business functions. You will also have the opportunity to collaborate with data scientists across functions at Cisco. Who You Are Degree in Operations Research, Industrial Engineering, Data Science, Management Science, or a related field.
3-5 years of professional experience as a data scientist.
Supply chain, logistics, or services business experience. Additional Skills (preferred but not required): Experience with PTC SPM, Oracle ERP, or related systems.
Familiarity with ASCM SCOR or related metrics frameworks.
Cisco IT experience. Technical Skills: Proficiency in analyzing complex data sets and identifying relevant insights.
Ability to design experiments, test hypotheses, and interpret models for business consumers.
Experience delivering projects in collaboration with technical teams.
Knowledge of analyzing databases using Oracle and Snowflake.
Familiarity with extract, transform, and load (ETL) processing.
Active participation in data science community forums.
Ability to build models for demand forecasting, inventory management, product sourcing, or production scheduling.
Proficiency in Python/R development using Pandas, SciKit-Learn, MatPlotLib, and other libraries.
Familiarity with facilitating model discussions using Jupyter Notebook navigation.
Experience building models using Machine Learning algorithms (Regression/Clustering/Classification, etc.).
Ability to solve large optimization problems using linear/non-linear/integer/dynamic/stochastic programming, as well as heuristic approaches.
Proficiency in applying data science techniques such as machine learning, statistical modeling, and artificial intelligence to inform or improve operational systems. Why Cisco #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you! Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco
#J-18808-Ljbffr

Services and Logistics is seeking a Senior Data Scientist create new Demand Planning capability. In this role, you will lead a team of data scientists to establish a comprehensive forecasting capability for Service Return Material Authorizations (RMAs) using both statistical and causal forecasting techniques. Who You Will Work With Interact with product and service teams to identify drivers of demand and formulate data science projects.
Collaborate with initiative leaders to build a prioritized backlog of features and user stories.
Oversee the successful execution of Minimum Viable Products for forecast information delivery and analysis.
Seek continuous feedback and monitor model performance to promote iterative product development.
Design ML Operational systems, workflows, and data models to support an agile development lifecycle inclusive of data visualization and predictive analytics.
Coach peers and collaborators on methods and procedures to elevate the Analytics team in the areas of Machine Learning and Data Science.
Document processes, new and existing data models, solutions, and implementations.
Develop and code algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers. What You Will Do The hired person will analyze the business for drivers of demand for RMAs as well as classify historical RMA demand. In additional, you will design time series forecasting models to predict RMAs, considering trend, seasonality, and calibration and establish causal factor models to predict RMAs based on product installed base, predicted failure rates, customer behavior, telemetry data, and environmental factors. Produce forecasts at both Product (global) and SKU (location) levels.
Generate forecasts at monthly, quarterly, yearly, and long-range intervals.
Compile aggregate forecasts for supply chain at customer, product, and geography levels.
Provide advisory insights to senior business leaders based on forecast (demand outliers, expected demand variation, impact of forecast on strategic metrics).
Design forecast performance (accuracy) and monitoring capability.
Present forecast performance and advisory insights to senior leaders in weekly operations reviews.
Integrate the forecast into supply planning and other operationsoriented systems.
Collaborate with supply planners, logistics analysts, product quality analysts, and related operations SMEs.
Establish work breakdown structure and development work plans for all work.
Mentor other data scientists. Who You Are You are an experienced professional who has Expertise in data science model development including classification, forecasting, and prediction models. You have worked in a supply chain environment and have experience analyzing a service supply chain. You have a track record of taking initiative, setting direction and completing tasks with minimal supervision. You have an effective record of driving solutions from Machine Learning projects, prioritizing effectiveness and explain-ability over model accuracy. You have with both open source and commercial analytics software, and have the ability to apply both in business operations. BS, MS, or PhD or equivalent experience in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.
8+ years of proven experience in a professional data scientist role.
12+ years of proven experience in writing advanced SQL, data modeling, and data mining, data wrangling from multiple sources (SQL, ETL, data warehousing). Knowledge of Snowflake and Oracle databases is critical.
5+ years of proven experience in visualization design and development with Python based libraries, Tableau/PowerBI, or other data visualization tools. Additional Differentiators: Experience in Cisco CX or Supply Chain is preferred, as the ideal candidate will have knowledge of the service and supply businesses and relevant business data architectures.
Oracle EBS and Pegasystems experience is highly preferred.
Ability to coach and support team members both within and outside of your own areas of expertise, as demonstrated through previous team lead or tech leadership roles.
ML Operations expertise. Why Cisco #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you! Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco
#J-18808-Ljbffr

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