Position Role/Tile: Data Scientist
Location: Pleasanton, CA​​​.
 
looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning.
About the Team
The data scientist role is in the Marketing Analytics and Operations organization, and will be reporting to the Senior Manager, Advanced Analytics and Business Intelligence.
They will play a pivotal role in planning, executing and delivering machine learning-based projects for the Workday enterprise.
The majority of the work will be in machine learning (Client) modeling, management and problem analysis, data exploration and preparation, data collection and integration and operationalization.
About the Role
The newly hired Data Scientist will be a key interface with stakeholders in all Marketing functions, Business Technology, Sales and Sales Operations, and our shared machine learning teams throughout the organization. Candidates will need to be very self-driven, curious, and ready to provide solutions to previously unsolvable business challenges.
Primary Responsibility

• Be a key product owner for new marketing advanced analytics initiatives and models involving machine learning concepts.
• Work with the advanced analytics team and executive insights team to deliver on models and/or actionable insights that can improve on key business objectives and outcomes.
• Execute machine learning lifecycle from ideation and hypotheses generation, data extraction and exploration, model building and validation, deployment into production, and monitoring and reporting of results.
• Identify opportunities for machine learning to optimize/automate our existing marketing processes.
• Collaborate cross-functionally with the business technology team, project managers, and stakeholders to deliver on projects and address concerns on machine learning implementations.
• Educate the marketing organization about the business potential and strategy of machine learning.
• Promote collaboration with other data science teams within the enterprise, encourage reuse of artifacts.
• Train business teams on basic data science principles and techniques.
• Keep abreast of the latest developments in the realm of data science through continued professional development and education.

Previous Experience

• Candidates should have overall 8 years of experience successfully launching, planning, and executing machine learning projects. Bonus having relevant hands-on experience in marketing-related projects, mainly in the domains of customer journey modeling, predictive lead/contact scoring, attribution, next-likely purchase/tactic modeling, cross-sell/upsell propensity modeling, churn and retention analysis, text analytics, among others.
• Candidates must have deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling and experience applying these methods to real world problems. The candidate must be able to integrate business requirements and domain knowledge with their Client models and solutions.
• Candidates need to demonstrate ability to manage large data science projects and collaborate cross-functionally with diverse teams. Candidates must be able to also communicate and translate complex machine-learning concepts to business stakeholders with minimal analytics experience.

Machine Learning and Data Science Knowledge/Skills

• Experience in one or more of the following commercial/open-source Client frameworks: Scikit-Learn, Keras, Pytorch, Tensorflow, MXNet or equivalent.
• Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, Markov chains, hierarchical clustering, deep learning, etc.

Central Business Solutions, Inc,
37600 Central Ct.
Suite #214
Newark, CA 94560.