Data Scientist Lead

DAY 1 ONSITE ROLE Role Data Scientist Lead Location Santa Clara, CA 6+ Months Exp Need 10+ Years Sr./ lead data scientist with great PMing skills, MLOps skills, and product management thinking, thinker, communicator, and presentation skills. Role Proficiency: Develop data-driven solutions for difficult business challenges. Utilizing analytical statistical and programming skills to collect analyze and interpret large data sets with supervision. Outcomes: Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to create models that can generate business insights Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns. Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc Develop processes and tools to monitor and analyse model performance and data accuracy. Coordinate with different functional teams to implement models and monitor outcomes. Set FAST goals and provide feedback on FAST goals of reportees Measures of Outcomes: Number of business processes changed due to vital analysis. Models applied to Business Problems Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Number of mandatory trainings completed Outputs Expected: Statistical Techniques: Apply statistical techniques for example regression properties of distributions statistical tests etc. to analyse data. Machine Learning Techniques: Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis. Creating advanced algorithms: Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc. Data Visualization: Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc. Management and Strategy: Oversee the activities of analyst personnel and ensures the efficient execution of their duties. Critical business insights: Mines the business's database in search of critical business insights and communicates findings to relevant departments. Code: Create efficient and reusable code meant for the improvement manipulation and analysis of data. Version Control: Manages project codebase through version control tools e.g. git bitbucket etc. Prescriptive analytics: Attempts to identify what business course of action to make Create Reports: Creates reports depicting the trends and behaviours from the analysed data Train end users on new reports and dashboards. Document: Create documentation for personal work as well as performing a peer review of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards and process Skill Examples: Excellent pattern recognition and predictive modelling skills Extensive background in data mining and statistical analysis Expertise in machine learning techniques and creating algorithms. Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data Analysts must look at numbers trends and data and come up with new conclusions based on the findings. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Comments for Suppliers: Must have Lead Experience Additional Skills: Product Management,Presentation,Excellent Communication